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5.1 WATER QUALITY MONITORING
5.1.1 National Water Quality Monitoring Programme
For rational planning of water-pollution control programme, it is imperative to understand the nature and extent of pollution control required. To achieve this, a sound scientific water quality monitoring programme is essential and accordingly water quality monitoring was initiated in the country as early as in year 1976 with limited number of monitoring stations. The monitoring programme was gradually extended all over the country covering all important water bodies. The programme was extensively reviewed during year 2000-2001. During 2001, the number of monitoring stations under the National Water Quality Monitoring Programme has been increased to 784 from 507. The State-wise and water body-wise distribution of water quality monitoring stations is presented in Table 5.1. A number of groundwater stations have been included in the programme. The parameters have also been revised and micro pollutants are introduced in some of the water bodies, which are significantly polluted.The water quality monitoring results obtained during 2001 indicated that faecal pollution, indicated by high BOD and high coliform density, continue to be the predominant source of pollution. This is mainly due to the large quantity of domestic wastewater being discharged. An attempt is made to classify the observations under different levels of pollution with respect to most critical parameters i.e. BOD, Total & Faecal Coliform. It is observed that 59% of the total 4119 observations taken on BOD during 2001 are having BOD less than 3 mg/l, which is same as observed during the previous year. However, number of observations having BOD more than 6 mg/l has increased from 16% during the year 2000 to 18% during 2001 indicating that pollution load is on increase and water bodies are further being polluted. This can be attributed to water scarcity due to over-abstraction, low rainfall in many parts of the country and increasing pollution load. However, the number of observations having high coliform density have somewhat reduced.
State-wise number of observations falling under different BOD levels, total coliform and faecal coliform is presented in Table 5.2. The data indicate that Maharashtra has highest pollution level in terms of organic pollution which is mainly industrial in nature followed by Delhi, Uttar Pradesh, Gujarat, Andhra Pradesh and Tamil Nadu. Similarly, Coliform levels were found highest in Uttar Pradesh.
The total riverine length under different pollution level is presented in Fig 5.4. The State-wise reverine length under different levels of pollution is presented in Fig 5.5.
Table 5.1 Statewise and water body wise Distribution of Water Quality Monitoring Stations
|
State/UT |
No. of Monitoring Stations under Program |
Water body-wise distribution |
||||||
|
MINARS |
GEMS |
YAP |
Total |
River |
Ground Water |
Lakes |
Others |
|
|
Andhra Pradesh |
50 |
9 |
- |
59 |
28 |
24 |
4 |
3 |
|
Assam |
29 |
- |
- |
29 |
17 |
10 |
- |
2 |
|
Bihar |
11 |
4 |
- |
15 |
15 |
- |
- |
- |
|
Chhatisgarh |
11 |
- |
- |
11 |
11 |
- |
- |
- |
|
Goa |
11 |
- |
- |
11 |
10 |
- |
1 |
- |
|
Gujarat |
32 |
9 |
- |
41 |
34 |
3 |
4 |
- |
|
Haryana |
16 |
- |
1 |
17 |
4 |
- |
2 |
11 |
|
Himachal Pradesh |
36 |
- |
- |
36 |
25 |
8 |
3 |
- |
|
J & K |
9 |
- |
- |
9 |
7 |
-- |
2 |
- |
|
Karnataka |
31 |
5 |
- |
36 |
34 |
-- |
2 |
- |
|
Kerala |
46 |
9 |
- |
55 |
30 |
15 |
10 |
- |
|
M.P. |
47 |
5 |
- |
52 |
40 |
9 |
3 |
- |
|
Maharashtra |
33 |
5 |
- |
38 |
35 |
- |
- |
3 |
|
Meghalaya |
13 |
- |
- |
13 |
5 |
5 |
3 |
- |
|
Manipur |
12 |
- |
- |
12 |
8 |
- |
4 |
- |
|
Orissa |
54 |
- |
- |
54 |
39 |
15 |
- |
- |
|
Punjab |
37 |
- |
- |
37 |
35 |
- |
2 |
- |
|
Pondicherry |
10 |
- |
- |
10 |
1 |
7 |
2 |
- |
|
Rajasthan |
32 |
- |
- |
32 |
7 |
18 |
7 |
- |
|
Tamil Nadu |
28 |
4 |
- |
32 |
27 |
2 |
3 |
- |
|
Tripura |
13 |
- |
- |
13 |
3 |
7 |
2 |
1 |
|
U.P. |
77 |
- |
14 |
91 |
60 |
26 |
2 |
3 |
|
West Bengal |
34 |
- |
- |
34 |
18 |
15 |
1 |
- |
|
Daman and Diu |
3 |
- |
- |
3 |
2 |
1 |
- |
- |
|
Dadra Nagar Haveli |
2 |
- |
- |
2 |
1 |
1 |
- |
- |
|
Lakshadweep |
16 |
- |
- |
16 |
- |
15 |
- |
1 |
|
Nagaland |
5 |
5 |
5 |
- |
- |
- |
||
|
Sikkim |
9 |
9 |
9 |
- |
- |
- |
||
|
Delhi |
2 |
- |
10 |
12 |
4 |
- |
- |
8 |
|
Total |
|
50 |
25 |
|
514 |
181 |
57 |
32 |
The water quality trend based on Biochemical Oxygen Demand, Total Coliform and Faecal Coliform of past several years is presented in Fig 5.1 to Fig 5.3:

Fig 5.1 Water Quality Trend based on Biochemical Oxygen Demand

Fig 5.2 Water Quality Trend based on Total Coliform

Fig 5.3 Water Quality Trend based on Faecal Coliform
| Table 5.2 Number of Observations Derived from the Water Quality Monitoring Data (2001) |
|
STATE |
Biochemical Oxygen Demand |
Total Coliform No/100ml |
Faecal Coliform No/100 ml |
||||||
|
<3 |
3-6 |
>6 |
<500 |
500-5000 |
>5000 |
<500 |
500-5000 |
>5000 |
|
|
Andhra Pradesh |
121 |
57 |
52 |
29 |
13 |
0 |
39 |
0 |
0 |
|
Assam |
107 |
9 |
11 |
16 |
51 |
51 |
25 |
30 |
8 |
|
Bihar |
146 |
3 |
0 |
11 |
74 |
44 |
52 |
69 |
7 |
|
Delhi |
13 |
2 |
94 |
0 |
3 |
24 |
6 |
8 |
13 |
|
Goa |
37 |
11 |
0 |
46 |
0 |
0 |
46 |
0 |
0 |
|
Gujarat |
100 |
28 |
84 |
89 |
48 |
75 |
123 |
58 |
31 |
|
Himachal Pradesh |
101 |
4 |
3 |
88 |
18 |
0 |
99 |
5 |
0 |
|
Haryana |
54 |
5 |
13 |
3 |
3 |
17 |
7 |
8 |
6 |
|
Karnataka |
366 |
33 |
14 |
157 |
204 |
0 |
226 |
131 |
0 |
|
Kerala |
265 |
0 |
0 |
114 |
151 |
0 |
232 |
32 |
0 |
|
Lakshdweep |
7 |
0 |
0 |
3 |
5 |
0 |
5 |
2 |
0 |
|
Maharashtra |
0 |
264 |
179 |
364 |
78 |
0 |
442 |
0 |
0 |
|
Manipur |
32 |
13 |
1 |
46 |
0 |
0 |
0 |
0 |
0 |
|
Meghalaya |
13 |
2 |
19 |
22 |
12 |
0 |
21 |
10 |
0 |
|
Madhya Pradesh |
344 |
73 |
34 |
300 |
91 |
10 |
92 |
6 |
2 |
|
Orissa |
173 |
137 |
8 |
104 |
130 |
84 |
146 |
112 |
60 |
|
Punjab |
34 |
22 |
22 |
17 |
49 |
13 |
60 |
16 |
1 |
|
Pondicherry |
12 |
1 |
0 |
1 |
0 |
0 |
1 |
0 |
0 |
|
Rajasthan |
59 |
8 |
6 |
41 |
26 |
1 |
63 |
0 |
0 |
|
Sikkim |
17 |
0 |
1 |
0 |
11 |
7 |
0 |
14 |
4 |
|
Tamil Nadu |
164 |
46 |
41 |
164 |
78 |
9 |
212 |
27 |
5 |
|
Tripura |
40 |
0 |
0 |
5 |
17 |
0 |
19 |
3 |
0 |
|
Uttar Pradesh |
176 |
119 |
155 |
21 |
158 |
236 |
56 |
144 |
129 |
|
West Bengal |
104 |
47 |
13 |
8 |
4 |
98 |
11 |
2 |
96 |
|
TOTAL |
2485 |
884 |
750 |
1649 |
1224 |
669 |
1983 |
677 |
362 |
|
TOTAL NO. OF RECORDS RECEIVED |
4119 |
||||||||

Status of Wastewater Generation & Treatment
It is estimated that 22900 MLD of domestic wastewater is generated from urban centres against 13000 MLD industrial wastewater (Fig 5.6). The treatment capacity available for domestic wastewater is only for 6000 MLD, against 8000 MLD of industrial wastewater. Thus, there is a big gap in treatment of domestic wastewater. Govt. of India is assisting the local bodies to establish sewage treatment plants under the Ganga Action Plan and subsequently under the National River Action Plan. Since the task is massive, it may take long time to tackle the treatment of entire wastewater. It is estimated that the total cost for establishing treatment system for the entire domestic wastewater would be around Rs. 7560 crores. Operation & maintenance cost would be in addition to this cost. Similarly, there is a gap in treatment of about 5000 MLD of industrial wastewater, mainly generated from small-scale industries. Establishing effluent treatment systems in small scale industries is a problem, since a large number of them are located in residential areas, where space is a constraint. Moreover, the small-scale industries are not having adequate resources to establish treatment systems. Such industries need to establish common effluent treatment plants (CETPs). A number of such facilities have been established across the country. It is expected that establishment of CETPs would reduce the pollution load in the aquatic resources of the country to a large extent.

5.1.3 Status of Sewage Treatment in the Ganga Basin
The Ganga basin spreads over an area of 8,61,404 Km2 covering the States of Uttaranchal, Uttar Pardesh, Haryana, Delhi, Madhya Pradesh, Rajasthan, Bihar, Jharkhand & West Bengal. There are 223 cities/towns (Municipalities/ Corporations) generating significant amount of sewage in the Ganga basin. These cities/towns generate about 8250 MLD (million litre per day) of wastewater, out of which about 2460 MLD is directly discharged into the Ganga river, about 4570 MLD is discharged into its tributaries or sub- tributaries and about 1220 MLD is disposed on land or on low- lying areas ( Fig 5.7 and Table 5.3).

Table 5.3 Summary of Sewage Generation, Treatment and Disposal in the Ganga Basin
Sewage Generation
| 1. Total number of towns generating significant amount of sewage ( Class I cities and class II towns ) |
222 |
|
2. Sewage generating from these towns |
8250 MLD |
|
3. Sewage directly disposed into the Ganga River |
2460 MLD |
| 4. Sewage disposed into tributaries of the Ganga River |
4570 MLD |
|
5. Sewage disposed on land or low lying areas |
1220 MLD |
Sewage Treatment
|
1. Sewage Treatment capacity created
under Ganga Action Plan Phase-I
|
882 MLD |
| 2. Sewage Treatment capacity created along the Yamuna |
2647 MLD |
| 3. Additional towns where sewage treatment capacity is being created under GAP Phase-II |
48 (600 MLD) |
| 4. Number of towns where sewage treatment capacity is being created on tributaries of the Ganga |
23 (750 MLD) |
Out of 8250 MLD wastewater generated in the Ganga basin, the treatment facilities available for 3500 MLD of wastewater. Out of 3500 MLD treatment capacity, 882 MLD is created under the Ganga Action Plan, 720 MLD is created under the Yamuna Action Plan by NRCD/MoEF and about 1927 MLD treatment capacity is created or under augmentation by the Govt. of Delhi for restoration of water quality in Yamuna river. The treatment facilities at 48 additional towns along the Ganga river and 23 towns on its tributaries/sub- tributaries are being created under GAP Phase-II and National River Action Plan. It is expected that after completion of these plans, an additional capacity of about 1500 MLD will be created. However, still there will be a large gap between the wastewater generation and treatment capacity.
5.1.4 Sewage Treatment Plants along the Ganga
The status of operation and maintenance of the STPs along the Ganga was inspected by CPCB during the year 2001. The findings of the inspection are summarised below :
5.1.5 Status of Sewage Treatment at Delhi
Delhi generates about 3600 MLD of wastewater. Out of which operational treatment facility is available for 1680 MLD. Plant-wise sewage treatment capacity is presented in Table 5.4. It is observed that there is continuous efforts by the Delhi Govt to augment the treatment capacity. However, the exponential population growth is nullifying the results. Fig 5.8 presents the decadal growth of sewage generation and its treatment. As evident from the figure, the gap between generation and treatment is widening inspite of the efforts of the authorities and monitoring by the Hon’ble Supreme Court.
Table 5.4 Status of Sewage Treatment Plant in Delhi (Total capacity Vs Actual Flow
|
Sewage Treatment Plant |
Total Capacity |
Actual Flow |
|
Mehrauli |
22.7 |
Nil |
| Vasant Kunj |
22.7 |
18.16 |
| Okhla |
635.0 |
594.74 |
|
Najafgarh |
22.7 |
Nil |
|
Papan Kalan |
90.8 |
40.9 |
|
Keshopur |
272.4 |
363.2 |
|
Nilothi |
181.6 |
Under Construction |
|
Coronation Pillar |
181.6 |
127.12 |
| Rohini |
68.1 |
Under Construction |
|
Narela |
45.4 |
2.27 |
|
Rithala |
363.2 |
249.7 |
|
Yamuna Vihar |
45.4 |
36.32 |
|
Kondli |
204.3 |
99.88 |
|
Sen Nursing Home |
10.0 |
11.95 |
|
Delhi Gate Rajghat |
10.0 |
11.90 |
|
Timarpur Oxidation Pond |
27.24 |
4.54 |
5.1.6 Monitoring of Yamuna River for Assessment of Water Quality
River Yamuna, a tributary of River Ganga flow in a stretch of 1376 km from Yamunotri to Allahabad. The river is influenced by three major urban centers i.e. Delhi, Mathura-Vrindavan and Agra during its course. Among these three urban centers, Delhi stands first based on the pollution contribution into the river Yamuna. The water quality of river Yamuna from origin upto Delhi u/s Wazirabad remains fairly good most of the time, while the river stretch from downstream Wazirabad Delhi to upstream Chambal confluence to the river carries deteriorated water quality mainly because of contribution and impact of urban centers located on its bank. Out of 341 km stretch, 22 km of Delhi segment is the most polluted. The main reason of pollution in this segment is the wastewater discharge from domestic and industrial sources.
The Central Pollution Control Board is regularly monitoring Yamuna river on monthly basis in Delhi segment at three locations i.e. Palla, Nizamuddin barrage and Okhla barrage. In addition, monitoring of 22 drains, which are the major source of pollution in the river are also being undertaken regularly. The water quality of drains and river Yamuna in Delhi stretch is depicted in Table 5.5 and 5.6. The total calculated discharge of these 22 drains is approx. 46.30 m3 /sec, which contributes 311.05 Tonnes of BOD load per day. From the total discharge of these drains Yamuna receives more than 90% wastewater discharge and rest wastewaters contributed by two drains joining canals. Similarly out of 311.05 Tonnes of BOD load, Yamuna receives 283.98 tonnes of BOD load per day and rest received by canals.
Table 5.5 Pollution Load of Drains Meeting River Yamuna in Delhi|
S. No. |
Drains |
Flow m3/sec |
% Contribution |
BOD Load Tonnes/day |
% Contribution |
|
1. |
Najafgarh Drain |
23.85 |
51.51 |
78.13 |
25.12 |
|
2. |
Magazine Road |
0.09 |
0.19 |
1.64 |
0.52 |
|
3. |
Sweepers Colony |
1.21 |
2.61 |
1.04 |
0.33 |
|
4. |
Khyber Pass |
0.06 |
0.12 |
0.06 |
0.02 |
|
5. |
Metcalf Drain |
0.08 |
0.17 |
0.38 |
0.12 |
|
6. |
Mori Gate Drain |
0.48 |
1.04 |
4.66 |
1.50 |
|
7. |
Tonga Stand |
0.07 |
0.15 |
1.20 |
0.39 |
|
8. |
Civil Mill Drain |
0.70 |
1.51 |
14.15 |
4.55 |
|
9. |
Power House |
0.47 |
1.02 |
7.86 |
2.53 |
|
10. |
Moat Drain |
0.03 |
0.06 |
0.19 |
0.06 |
|
11. |
Sen Nursing Home |
1.86 |
4.02 |
34.28 |
11.02 |
|
12. |
Drain No. 12 A |
0.23 |
0.50 |
0.69 |
0.22 |
|
13. |
Drain No. 14 |
1.59 |
3.43 |
15.27 |
4.91 |
|
14. |
Barapulla Drain |
1.38 |
2.98 |
9.22 |
2.96 |
|
15. |
Maharani Bagh |
1.09 |
2.35 |
32.78 |
10.54 |
|
16. |
Kalkaji Drain |
0.09 |
0.19 |
0.36 |
0.12 |
|
17. |
Tuglakabad |
0.14 |
0.30 |
1.23 |
0.39 |
|
18. |
Shahdara Drain |
6.70 |
14.47 |
48.44 |
15.57 |
|
19. |
Sarita Vihar Drain |
1.10 |
2.38 |
25.42 |
8.17 |
|
20. |
Drain Near LPG Plant |
0.48 |
1.04 |
2.74 |
0.88 |
|
21. |
Drain Near Bridge Sarita Vihar |
4.49 |
9.70 |
29.66 |
9.53 |
|
22. |
Tehkhand Drain |
0.11 |
0.24 |
1.65 |
0.53 |
|
Total |
46.30 |
100 |
311.05 |
100 |
|
The Delhi segment of river Yamuna has oligotrophic head with saprobic tail end, and characterized by high bacterial load (except at Palla) having high BOD with strong disagreeable odour. The anaerobic condition in river is frequently reflected by masses of gaseous sludge rising from the bottom and floating at the surface of water.
Table 5.6 Water Quality of River Yamuna in Delhi Stretch (22 kms)
(January – December 2001)
|
S. No. |
Parameters |
Monitored Location |
|||
|
Palla |
Nizamuddin Bridge |
D/s Okhla Barrage |
|||
|
1. |
pH |
Min |
7.18 |
6.94 |
6.91 |
|
Max |
8.42 |
7.55 |
7.43 |
||
|
Av |
7.76 |
7.22 |
7.22 |
||
|
2. |
Dissolved Oxygen mg/l |
Min |
5.9 |
Nil |
Nil |
|
Max |
9.8 |
3.7 |
2.0 |
||
|
Av |
8.5 |
0.80 |
0.40 |
||
|
3. |
Bio-chemical Oxygen Demand mg/l |
Min |
1.0 |
6.0 |
6.0 |
|
Max |
3.0 |
54.0 |
77.0 |
||
|
Av |
1.5 |
22.7 |
41.3 |
||
|
4. |
Total Coliforms Nos./100
ml
|
Min |
600 |
80,000 |
88,000 |
|
Max |
69,000 |
7,00,00,000 |
7,00,00,000 |
||
|
Av |
22,662 |
88,89,166 |
1,02,53,166 |
||
|
5. |
Faecal Coliforms Nos./100 ml |
Min |
34 |
500 |
2,000 |
|
Max |
5,000 |
1,41,00,000 |
57,00,000 |
||
|
Av |
882 |
26,23,075 |
21,37,216 |
||
Min = Minimum; Max = Maximum; Av = Average
5.1.7 Performance Monitoring of Sewage Treatment Plants (STP’s) under Yamuna Action Plan (YAP)
The National River Conservation Directorate, Ministry of Environment & Forests has assigned project to Central Pollution Control Board for Performance Monitoring of Sewage Treatment Plants under Yamuna Action Plan during March, 1999. The performance monitoring of five sewage treatment plants (four in Haryana and one in Delhi) is undertaken since May, 1999 on monthly basis (Table 5.7). 24 Hrs composite at 2 hourly interval samples of STP influent and effluent are being collected from influent and effluent channels and being analyzed for various physico-chemical parameters i.e. pH, Temperature, Suspended Solids, Volatile Suspended Solids, Dissolved Oxygen, BOD, COD, NO3,-N, NH3,-N, Phosphate, Total coliform, Faecal Coliform etc. In addition, the generated sewage sludge from STP is also being collected and analyzed for pH, Heavy metals (seven trace metals) and pesticides.
Table 5.7: Sewage Treatment Plants (STP’s) under Yamuna Action Plan Monitored under NRCD Project
|
S. No.
|
State |
Monitored STP |
Treatment Capacity |
Type of Treatment
|
|
1. |
Delhi |
Sen Nursing Home
|
10 MLD |
Aerobic |
| 2. | Haryana |
STP Gurgaon |
30 MLD |
UASB |
| STP Zone-I Faridabad |
20 MLD |
UASB |
||
|
STP Zone-II Faridabad |
45 MLD |
UASB |
||
|
STP Zone-III Faridabad |
50 MLD |
UASB |
5.1.8 Performance Monitoring of Oxidation Pond Based
Sewage Treatment Plants in Uttar Pradesh under Yamuna Action Plan
The monitoring of Oxidation Ponds in Uttar Pradesh as identified by National River Conservation Directorate, Ministry of Environment & Forests being undertaken by Central Pollution Control Board Laboratories in addition to STP’s already being monitored. Following seven Oxidation ponds, as identified by National River Conservation Directorate (NRCD) are being monitored on monthly basis since January, 2002:
|
S. No |
STP Location |
Capacity (MLD) |
|
1. |
Main Town, Vrindavan |
4 |
|
2. |
Kaliadah, Vrindavan |
0.5 |
|
3. |
Trans Yamuna, Mathura |
14 |
|
4. |
Masani, Mathura |
14 |
|
5. |
Trans Yamuna, Agra |
10 |
|
6. |
Buria Ka Nagla, Agra |
2.5 |
|
7. |
Main Town, Etawah |
10 |
Grab samples are collected on monthly basis from inlet
and outlet of each Oxidation Pond and analyzed for flow (analyzed in field,
temperature (Analyzed in field), pH, Total Dissolved Solids, Total Suspended
Solids, Chemical Oxygen Demand, Bio-chemical Oxygen Demand and Dissolved Oxygen
(Analyzed in the field) apart from bacteriological parameters viz. Total Coliforms
and Faecal Coliforms.
5.1.9 Performance Monitoring of Sewage Treatment Plants (STP’s) at Delhi
The project for surveillance of raw sewage & treated effluent quality from sewage treatment plants installed in NCT-Delhi has been undertaken by Central Pollution Control Board for performance monitoring. The performance monitoring of Sewage Treatment Plants has been undertaken between September, 2000 to September 2001 on monthly basis under Delhi Jal Board sponsored project. Grab samples have been collected from the raw sewage and treated sewage wastewater of various units of sewage treatment plants and analyzed for seven physico-chemical parameters i.e. flow, temperature, BOD, COD, suspended solids, pH, oil & grease. In addition, heavy metals and pesticides have also been analyzed in raw sewage, treated sewage & in sludge on regular basis.
|
S. No.
|
ame of STP |
Wastewater Treatment Capacity |
|
1. |
Yamuna Vihar |
10 MGD |
| 2. |
Coronation Pillar |
40 MGD |
|
3. |
Rithala |
40 MGD |
|
4. |
Keshopur |
60 MGD |
|
5. |
Sen Nursing Home |
10 MLD |
|
6. |
Delhi Gate |
10 MLD |
|
7. |
Kondli |
35 MGD |
|
8. |
Okhla |
140 MGD |
|
9. |
Vasant Kunj |
5.2 MGD |
BIO-MONITORING OF RIVERS/WATER BODIES
5.2.1 BIO-MONITORING OF RIVERS/WATER BODIES AT CRITICALLY POLLUTED AREAS/RIVER STRETCHES
The importance and use of biological monitoring system, as a cost-effective tool, has been realized in recent past to maintain and restore the wholesomeness of water quality in terms of ecological sustainability of various designated best-uses of water bodies. It has been observed that the desired quality levels are quite often delinked with the observed water quality of water bodies for designated best uses due to number of integrated environmental management problems as a result of rapid industrialization and urbanization. On the basis of environmental status, twenty four problem areas have been identified in the country. The recipient water bodies of these problem areas are bearing the affect due to environmental degradation.
The bio-monitoring studies in water bodies existing in problem areas have been undertaken at nineteen problem areas in the country in order to make an integrated approach towards environmental management. The main objective of the studies are:
- Biological assessment of water quality of surface water bodies existing in problem areas.
- To evaluate the improvement in water quality as a result of action taken for pollution control in problem areas.
During the reporting period, the bio-monitoring studies at water bodies in vicinity of following problem areas have been accomplished:
Table 5.10 Surface water resources (fresh water) monitored in vicinity of problem areas and their water use status
|
S. No. |
Problem area
|
City/town |
Surface water resources |
Water use status of water bodies |
|
1. |
Ambedkar Nagar (Tamilnadu) Monitored from February 28 – 3 March, 2001 |
Vaniambadi |
Vinnamangalam lake |
Wild life, cattle wading, domestic waste discharge from villages, treated industrial effluents from tanneries |
|
Yelagiri Hills |
Yelagiri Lake |
Tourism, drinking water source for villagers |
||
|
Gudiatham |
Solaiyur Lake |
Wild life, drinking water source |
||
|
Ranipet |
Pullianthengal lake |
Irrigation in paddy cultivated lands, domestic, industrial waste discharge |
||
|
Ranipet, Pulliankannu village near Panchayat Union Primary School |
Karai Lake |
Irrigation in cultivated lands, domestic and industrial waste discharge from SIPCOT Industrial complex |
||
|
Kaveripakkam, Anicut 7 km from Walajat town |
River Palar u/s |
Dry river throughout the stretch of Vaniambadi, Girisamudram, Patchakuppam, Madharur village |
||
|
2. |
Angul, Talcher (Orissa) Monitored in October 2000 |
Rengali |
River Brahmani d/s Dam |
Hydro-electric power generation, irrigation, cooling water intake |
|
Samal |
D/s barrage |
Irrigation |
||
|
Kamalanga |
D/s Talcher |
NALCO Captive power plant |
||
|
Talcher |
NALCO Ash pond |
Treatment of coal ash slurry |
||
|
Nandira Jhor u/s |
Drinking water source |
|||
|
Nandira Jhor d/s |
Washing, bathing, over flow discharge from NALCO Ash pond |
|||
|
3. |
Ankleshwar (Gujarat) Monitored in November 2000 |
Vagra vilayat water supply at Nand Head works Bharuch |
River Narmada |
Drinking water supply to GIDC, transported to Dahej treatment plant, irrigation, Intake for cooling water NTPC unit |
|
Ankleshwar at Golden bridge |
Estuary of river Narmada |
Religious offerings, bathing, submergence of ashes, fishing |
||
|
Furja at Bharuch |
Estuary of River Narmada |
Domestic waste water discharge of Bharuch through drain near Dutta temple and surface run offs, washing, fishing |
||
|
Juna Dhanturia village |
Estuary of River Narmada |
Irrigation to cultivated lands, fishing industrial waste water discharge from Ankleshwar industrial area through Amlakhadi drain |
||
|
4. |
Bhadravathi (Karnataka) Monitored in March 2001
|
Lakkavalli |
River Bhadra at Bhadravathi barrage |
Drinking water source, irrigation, fishing |
|
River Bhadra at d/s Bhadravathi barrage |
Hydro-electric power generation, cooling water discharge, irrigation, drinking water source (direct) |
|||
|
Bhadravathi town, near bus stand |
Bhadra river |
Domestic and industrial waste discharge from Bhadravathi town |
||
|
Shimoga, Mehboob Nagar |
River Tunga u/s |
Open defaecation, domestic waste discharge in d/s stretches |
||
|
Gondhichatnahalli |
River Tunga d/s |
Irrigation, fishing |
||
|
Kudli |
River Tunga and Bhadra after confluence |
Industrial waste water discharge from MPM & VSIL from Bhadravathi irrigation, fishing, religious offerings |
||
|
Honali |
River Tungbhadra |
Drinking water source (direct after filtration), washing bathing etc. |
||
| Harihar |
River Tungbhadra u/s Harihar |
Religious offerings, washing bathing, cremation, fishing etc. |
||
|
D/s Harihar |
Industrial discharges from M/s Harihar Polyfibres and Grasim industries, irrigation, fishing |
|||
|
5. |
Dhanbad (Jharkhand)
|
Talmacchu Bridge |
River Damodar b/c Ganga river |
Bokaro Thermal Power Station township and industrial discharge, waste water from coal washery and collieries |
|
Monitored in March 2001 |
River Damodar a/c Garga river |
Domestic waste water discharge through Garga river, coal ash slurry discharge |
||
|
Jitpur, Jamadoba water works |
River Damodar b/c Karizore Nalla |
Drinking water source at Jamadoba, industrial coal washery and collieries. Religious offerings, bathing |
||
|
Dungri village |
River Damodar a/c Karizore Nalla |
Domestic and coal mine discharges from Washeries and collieries, mass bathing, religious ceremonies & offerings |
||
|
Panchet |
River Damodar at Panchet Dam |
Drinking water supply, irrigation fishing, wild life, tourism, bathing, Hydro-electric power generation, religious offerings |
||
|
Maithan |
River Damodar at Maithan Dam |
Drinking water supply, irrigation, fishing, wildlife, religious offerings, bathing, hydro-electric power generation |
||
|
Anopur |
Topchanchi lake |
Drinking water source, wildlife, religious offerings |
|
S. No. |
Problem area |
City/town |
Surface water resources |
Water use status of water bodies |
|
6. |
Durgapur (West Bengal) |
Kulti in Asansol |
River Barakar |
Drinking water source, irrigation, coal mining process |
|
Monitored in March 2001 |
Purulia village, Dishergarh Ghat in Bardhman district |
River Damodar a/c of River Barakar |
Drinking water source, fishing, bathing etc. |
|
|
Majhar Mana village in Shyampur |
River Damodar b/c Tamla nalla |
Drinking water source, irrigation |
||
|
Narayan Puri village |
River Damodar |
Industrial and domestic waste water discharge from coal mines and Thermal power plants etc. |
||
|
Dhena village |
River Damodar a/c of Damra and Dihika drain |
Drinking water supply intake, discharge from coal Washeries, industrial and domestic waste discharge from IISCO Burnpur |
||
|
7. |
Howrah (West Bengal) Monitored in March 2001 |
Diamond Harbour, Kolkata Port Trust |
Estuary of River Hooghli b/c Bay of Bengal |
Fishing, tourism, religious, offerings, industrial and domestic waste discharges of Howrah, mass bathing on religious occasions |
|
Nazirgunge, Khaya Ghat |
River Hooghli u/s |
Botanical garden, transportation, dockyard, Thermal Power Plant’s cooling water intake, fishing, religious offerings |
||
|
Palta Water Works Barrackpore |
River Hooghli u/s |
Drinking water supply
|
||
|
Baranagar CMDA Kamarhati Water Works |
River Hooghli u/s |
Drinking water supply, raw water pumping station |
||
|
8. |
Jodhpur (Rajasthan)
|
Kurigaon |
River Jojri |
Domestic waste water discharge after treatment, irrigation |
|
Monitored in November 2000 |
Salavas |
River Jojri |
Textile and pickling industrial waste, water discharge after treatment, irrigation |
|
|
Kaylana |
Kaylana lake (termination of Indira Gandhi Canal) |
Drinking water source, irrigation, tourism |
||
|
9. |
Kochi (Kerala) Monitored during February 22 – March 2, 2002 |
Ambalamedu (Udyogmandal Division) Eloor-Alwaye Belt |
Ambalamedu Lake, Water source from River Periyar at Bhoothathan Kettu Barrage |
Industrial use for M/s FACT, Cochin Division, M/s Cochin Refinery, M/s HOC Ltd., bird Sanctuary, Drinking water source for township |
|
Bhoothathan-Kettu |
River Periyar on Periyar Barrage |
Irrigation, Tourism |
||
|
Idukki town |
River Periyar d/s of Cheruthoni Check Dam |
Washing clothes, automobiles, bathing tourism |
|
S. No. |
Problem area
|
City/town |
Surface water resources |
Water use status of water bodies |
|
3 km u/s from Idukki town near school |
Cheruthoni Dam and Idukki Arch Dam on River Periyar |
Hydro-electric power generation, irrigation water supply, wildlife sanctuary |
||
|
Kanjar at 5 km from Moolamattom |
River Thodupuza d/s of Malankara Reservoir at Moolamattom |
Receiving tail race water of Idukki Hydel Project, Irrigation, bathing washing, tourism |
||
|
Kalady near International air port |
River Periyar |
Water supply, irrigation washing etc. |
||
|
Alwaye |
Mangalapuzha Branch of River Periyar |
Sewage disposal point, bathing, washing, fishing, transport, irrigation, tourism |
||
|
FACT (Udyogmandal Division) Kalamassery |
Idamula Branch from Marthandavarma Branch of River Periyar |
Fresh water intake point for water treatment intake well of M/s FACT, Udyogmandal Division |
||
|
10. |
Korba, (Chhattisgarh)
|
Kathghora |
River Hasdeo at Bango Dam u/s |
Drinking water source (direct), irrigation |
|
Monitored in April 2001 |
River Hasdeo at d/s Bango Dam |
Bango Hydro-electric power generation cooling water discharge, irrigation, drinking water source |
||
| Ghamota village Lotlota Ashdyke Chhattisgarh State Electricity Board (CSEB) Korba |
River Hasdeo u/s |
Drinking water source, irrigation, fishing |
||
| Korba |
Lotlota Ash dyke seepage drain |
Ash dyke seepage discharge, bathing etc. washing treatment of coal ash (CSEB) |
||
|
River Hasdeo d/s seepage discharge |
Ash dyke seepage discharge, cattle wading, washing, fishing etc.. |
|||
|
NTPC Korba |
NTPC ash pond seepage drain near right bank canal NTPC |
Treatment of coal ash slurry of NTPC |
||
|
Purani Basti Rani Road Korba |
River Hasdeo a/c river Ahiran, d/s Korba |
Overflow from Ash ponds discharge, surface runoff from mine over burden, Dengur Nullah, Belgiri and Jharia Nullah from coal mines discharges |
||
|
Champa |
River Hasdeo d/s Korba |
Coal Washeries, collieries, coal ash, industrial and domestic discharge of Korba and Champa |
||
|
Manjhia village in Kera |
River Mahanadi b/c river Hasdeo |
Irrigation, drinking water source |
|
S. No. |
Problem area
|
City/town |
Surface water resources |
Water use status of water bodies |
|
Saliaghat in Bhatgaon |
River Mahanadi a/c River Hasdeo |
Irrigation, fishing, bathing, cattle wading, drinking water source, religious offerings, discharges through river Hasdeo from u/s at Kera |
||
|
11. |
Kala-Amb (Himachal Pradesh) |
Kharjuna village near Shambhuwala, 6 km u/s of Kala-Amb (H.P.) |
River Markanda u/s |
Tourism, domestic waste water discharge of Nahan town, agriculture |
|
Monitored in June 2001 |
Kala-Amb, adjacent to Vashist chemicals at Haryana border |
River Markanda opposite to Suketi Fossil Park |
Tourism, industrial activities of Turpentine, lime kiln, cement, steel melting and rolling, agriculture, u/s of Ruchira Paper Mill |
|
|
Kala-Amb d/s Ruchira Paper Mills |
River Markanda d/s of Jattanwala Nullah |
Industrial wastewater discharge of paper industries, agriculture |
||
|
Assan in Paonta Sahib (H.P.) |
Upstream of river Yamuna near Assan reservoir |
Hydel project, irrigation canals, waste water discharge from domestic and industrial area of Gondpur and Ranbaxy |
||
|
Sataun |
River Giri |
Lime Stone mining activities of Sirmour, agriculture area, Lime stone stock yard of Hiyona mines, Batamandi, Paonta Sahib, Manal lime stone mines, CCI of Rajban distt. Sirmour, H.P. |
||
|
12. |
Manali (Tamilnadu)
|
Walazah Road bridge Chepauk, Chennai |
Buckingham Canal |
Waste water discharge |
|
Monitored in March 2001 |
Laws bridge, Ayyamudali street, Chindadhirpet Chennai |
River Cooum |
Waste water discharge |
|
|
Nandambakkam IDPL Township |
River Adyar |
Waste water discharge |
||
|
U/s of Nesapakkam STP, Thangavel Nagar |
River Adyar |
Waste water discharge from sewage treatment plant |
||
|
U/s Koturpuram sewage pumping station |
River Adyar |
Waste water discharge from sewage treatment plant |
||
|
D/s Koturpuram |
River Adyar b/c to Bay of Bengal |
Tourism |
||
|
Red Hills, Chennai |
Red hills lake |
Drinking water supply of Krishna water project, tourism |
||
|
13. |
Nagda-Ratlam (Madhya Pradesh)
|
Nagda, near Intake point |
River Chambal u/s Nagda city at weir |
Drinking water supply, industrial use for Grasim industries |
|
S. No. |
Problem area
|
City/town |
Surface water resources |
Water use status of water bodies |
|
Between Gidgarh and Ninawad village |
River Chambal a/c of major drain at Juna Nagda |
Industrial and domestic waste discharge of Nagda city |
||
|
Banwara |
River Chambal |
No direct use |
||
|
Monitored in October 2000 |
Jadwasa Khurd |
River Kurel B/c of Dosigaon drain |
Irrigation, Dry river |
|
|
Bangroad |
D/s of Ratlam city |
Irrigation, Dry river |
||
|
14. |
Najafgarh Drain Basin (Delhi)
|
Palla |
River Yamuna |
Drinking water source for Delhi water supply, irrigation, sand dredging, Ranny wells, tube wells etc. |
|
Monitored during June to December 2001 |
Wazirabad water works |
River Yamuna |
Drinking water source for Delhi water supply |
|
|
Wazirabad |
River Yamuna |
Drinking water supply, religious offering, bathing |
||
|
Majnu Ka Tila, Delhi |
River Yamuna d/s Wazirabad barrage |
Domestic and industrial waste water discharge of Haryana and Delhi through drain No. 6 and Najafgarh drain |
||
|
Sonia Vihar |
U/s Wazirabad barrage |
Sand dredging, cultivation, Renny well, tube well |
||
|
ITO Bridge, Gautam Puri |
River Yamuna |
Melon farming, cooling water intake and discharge of Rajghat Thermal Power Plant, domestic waste water discharge |
||
|
ITO Barrage near Kishan Kunj |
River Yamuna |
Cultivation |
||
|
Mundella Kalan |
Mundella Khurd |
Irrigation, domestic waste discharge |
||
|
Bhalswa |
Bhalswa lake |
Tourism |
||
|
15. |
Pali (Rajasthan)
|
Pali |
River Bandi at Bajrang Bari |
Textile waste from dyeing units along with domestic waste water discharge
|
|
Monitored in November, 2000 |
River Bandi at Main Mandia road |
Treated effluent from CETP I, II, III phase are discharged in river Bandi |
||
|
Manpura Bhakri 3 km from Pali |
Hemavas dam |
Drinking water source |
||
|
16. |
Parwanoo (Himachal Pradesh)
|
Kamli village |
River Kaushalya at u/s Kamli water works scheme |
Drinking water source, agriculture, bathing, washing |
|
Monitored in June 2001 |
Kamli village near Himachal Oxygen factory |
River Kaushalya at d/s Kamli water works scheme |
Domestic discharge from Kamli village |
|
S. No. |
Problem area
|
City/town |
Surface water resources |
Water use status of water bodies |
|
Ambota village, Near Shivloti Temple, Bhagwala |
Sukhna Nallah at u/s of water supply scheme of Sector 5 |
Bathing, religious activities of Shivloti temple, various plantation schemes of Nahan, drinking water source of Parwanoo |
||
|
Parwanoo |
Sukhna Nalla at Samtel India Ltd., Plot No. 6 |
Industrial and domestic waste discharges of Sector-2 industrial area |
||
|
Sukhna Nallah at d/s water supply scheme, Kalka near Parwanoo Barrier |
Discharges from Parwanoo sector 2, 5 & 8 industrial area, small scale electroplating industries and pharmaceutical industries, Eicher Ltd., HPMC Fruit Processing units etc. |
|||
|
17. |
Patancheru Bollaram (Andhra Pradesh) Monitored in February 2001 |
Sangareddy, Hyderabad |
River Manjira at Manjira barrage |
Major wetland site for wildlife, drinking water source, raw water intake, Hyderabad Metro Water Sewerage Board, Satya Sai water supply project at Shivampet village |
|
Shivampet, Hyderabad |
River Manjira u/s |
Industrial waste water discharge from Charminar Breweries and Ganpathi sugars |
||
|
Gondicherla |
River Manjira 2 km d/s of confluence to Nakkavagu |
Irrigation, drinking water (direct) source, industrial waste water discharge through Nakkavagu |
||
|
Gandiguda village at Patancheru Mandal |
Gandigudem Cheruvu |
Industrial waste water discharge, idol submersion |
||
|
Kistareddypet village, Ramchandrapuram mandal |
Kistareddypet Tank |
Bollaram IDA industrial discharge, domestic waste water discharge |
||
|
Gandipet at Hyderabad |
U/s of River Musi at Osman Sagar |
Drinking water source, tourism |
||
|
Pratapsingaram village |
D/s of River Musi |
Domestic waste water discharge, irrigation in adjacent cultivated land |
||
|
Hyderabad, near Necklace Road |
Hussain Sagar on west side of lake |
Tourism |
||
|
Hyderabad, behind the Youth hostel boat club |
Hussain sagar, north side of lake |
Domestic waste water discharge, boating etc. |
||
|
18. |
Singrauli (Uttar Pradesh and Madhya Pradesh)
|
Zorha, 5 km from NTPC Rihand |
River Azir b/c Rihand Reservoir |
Irrigation, cattle wading, bathing etc. |
|
S. No. |
Problem area
|
City/town |
Surface water resources |
Water use status of water bodies |
|
Monitored during April, June, and September 2000 |
Rakasganda at Balangi (M.P.) |
River Rihand u/s |
Bathing |
|
|
Bijpur-Waidhan road |
River Rihand b/c to Rihand reservoir |
Irrigation |
||
|
Pipri-Sonbhadra |
River Rihand d/s Rihand Dam |
Hydroelectric power generation, burning ghat at Swargpuri |
||
|
Pipri-Renukut |
River Rihand d/s Rihand Dam |
- |
||
|
Bijpur-Sidhi |
River Kanchan |
Irrigation |
||
|
River Mayar |
Irrigation |
|||
|
Chopan-Sonbhadra |
RiverSone u/s |
Industrial waste discharge |
||
|
Chopan-Sonbhadra |
RiverSone a/c River Rihand |
Cooling water discharge from Obra Thermal power plant, intake water |
||
|
Varanasi |
River Ganga a/c river Son |
Fishing, dead bodies disposal, bathing, washing etc. domestic sewage pumping (intermittent) |
||
|
Varanasi-Shakti Nagar Road, Singrauli |
Siltation tank a/c Bina colliery drain |
Bina coal mine processing, discharge |
||
|
Sonbhadra |
Balia nullah at Jayant road |
Jayant coal mine processing discharge |
||
|
Tilgawan |
Rihand reservoir |
Domestic waste water alongwith Balia nalla carrying coal mine waste water |
||
|
Kohraul |
Rihand reservoir |
- |
||
|
Pipri Sonwani |
Rihand reservoir |
- |
||
|
Sasan village |
Rihand reservoir a/c river Mayar |
Irrigation |
||
|
Gaubha Tola Balsota |
Rihand reservoir |
Irrigation |
||
|
Sidhi (M.P.) |
Rihand reservoir NTPC-Rihand |
Cooling water discharge of NTPC Rihand |
||
|
Rihand Nagar |
Rihand reservoir at Boat point |
Cooling water intake for NTPC Rihand |
||
|
Cooling water intake at screening pit of NTPC Rihand TPP |
Cooling water intake of NTPC Rihand Thermal Power Plant |
|||
|
Shakti Nagar |
Rihand reservoir |
Cooling water intake of Singrauli Super Thermal Power Plant |
||
|
Shahpur |
Rihand reservoir |
Cooling water discharge from Vindhyachal and Singrauli Super Thermal Power Plant |
||
|
Shahpur |
Rihand reservoir |
Ash dyke of SSTPP, coal ash slurry discharge |
|
S. No. |
Problem area
|
City/town |
Surface water resources |
Water use status of water bodies |
|
Renukut Shiv Mandir near Renu Sagar & Anpara |
Rihand reservoir at Ash dyke |
Coal ash slurry discharge from Renu Sagar and Anpara Thermal Power Plant, Fishing |
||
|
Renu Sagar Thermal Power Plant |
Rihand reservoir |
Raw water intake at Make up pump house of Renu Sagar Thermal Power Plant |
||
|
Dongia village Renukut near Rly colony |
Rihand reservoir |
Drinking water source from underground stream. Industrial waste water discharge |
||
|
Dongia Nullah |
Industrial waste water from Kanodia Chemicals, drinking water source, fishing, bathing |
|||
|
19. |
Vapi (Gujarat) |
Madhuban at Silvassa |
River Damanganga d/s Madhuban dam |
Drinking water source, irrigation |
|
Monitored during Oct. and Nov. 2000 |
Silvassa (Dadra Nagar Haveli) |
River Damanganga at Ras Resort |
Burning Ghat |
|
|
Piparia in Silvassa |
River Damanganga |
Washing, cattle wadding, irrigation, drinking water source at d/s reaches at Weir |
||
|
GIDC, Vapi |
River Damanganga d/s |
GIDC, Common effluent treatment plant’s treated water discharge, municipal solid waste dumping |
||
|
|
National Highway No. 8, Vapi |
River Kolak u/s Vapi |
Dredging sand |
|
|
Vattar village |
River Kolak d/s of Billkhadi Drain |
Dredging sand, industrial domestic waste discharge of Vapi through Billkhadi drain. |
5.2.2 Water Quality Assessment through Bio-Monitoring of Major Wetlands in Wildlife Habitats of India
The wetlands are the richest and most biologically diverse ecosystem. Many wetlands in India support spectacular diversity of wildlife. Some are centres of rare, threatened and endangered species. Many of them are home of rich variety of mammals, birds, amphibians and reptiles. There is also a phenomenal diversity of insects associated with wetlands. In recent years, wetlands have been the focus of innumerable studies. This is also the only ecosystem type to have its own international convention, namely, the convention on wetlands of International importance especially as waterfowl habitats better known as the Ramsar convention to which India is a signatory.
The high biological productivity and bio-diversity values of wetlands, and the sustenance that these habitats provide to communities, have long been realized. However, the contribution of wetlands in maintaining the food chain in open waters, and in providing a variety of services such as; water quality improvement, flood control, and ground water recharge, among others been emphasized in the context of conservation. With the increase in human population, pressure on land for agriculture and urban and industrial expansion, wetland habitats in India have been destroyed by over exploitation activities. In many cases, such human excesses have greatly reduced bio-diversity, thus upsetting the ecological balance and decreased the values of wetlands. The need and importance of wetlands in water quality management has been greatly realized for improving water quality and wetlands species as bio-indicators. The project studies are undertaken by Central Pollution Control Board with following major objectives
5.2.3 Water Quality Status of Lakes and Reservoirs in Delhi
Lakes and reservoirs are considered as the most productive and biologically rich inland surface water ecosystem. The growing urbanization, scarcity of potable water and ever increasing anthropogenic influences have been constantly exerting pressure on surface water bodies. The study on water quality status of lakes and reservoir in Delhi have been undertaken with following objectives:
Application of bio-monitoring using Benthic macro-invertebrates as indicators of water quality and evaluation of water quality in cost effective manner.
To assess the aesthetic water quality of lakes and reservoirs in Delhi through bacteriological counts.
Bio-accumulation of studies on fishes of few lentic water bodies, which
are used for human consumption.
Table 5.11 Lakes/Reservoirs in Delhi and their existing uses
|
S. No. |
Lakes/Reservoir |
Location |
Existing Uses |
|
1. |
Bhalswa Lake |
Bhalswa |
Tourism |
|
2. |
Naini Lake |
Model Town |
Tourism, wildlife, fishing |
|
3. |
Jehangirpuri Marsh |
Jehangirpuri near J.J. Colony |
Dumping of waste, construction material, sewage from adjoining areas etc. |
|
4. |
Mundella Khurd |
Mundella Kalan |
Cattle wading, wastewater discharge from village, cultivation etc. |
|
5. |
Mayapuri Lake |
Mayapuri |
Dumping of solid waste, construction material, sewage discharges from slums, open defecation |
|
6. |
Harinagar Lake (Tihar Jheel) |
Hari Nagar |
Tourism, fishing |
|
7. |
Dwarka Depression |
Papankalan |
Automobile waste discharge, cattle wading |
|
8. |
Bagdola Pond |
Bagdola, Papankalan |
Tourism, fishing |
|
9. |
Sanjay Lake |
Trilokpuri |
Tourism, wildlife, fishing |
|
10. |
Seelampur Depression |
Seelampur
|
Wastewater discharge from adjoining colonies, open defecation |
|
11. |
Jhilmil Colony Depression |
Jhilmil Colony Opp. Police Station |
Cattle wading, open defecation |
|
12. |
Jhilmil Colony Lake near Hanuman Mandir |
Barapulia |
Waste water discharge, open defecation |
|
13. |
Duckweed Pond |
Wazirabad |
Duckweed culture, fish culture, waste water treatment |
|
14. |
Fish Pond |
Wazirabad |
Fish culture |
Physico-chemical and Bacteriological Water Quality
The water quality status of lakes/reservoirs in Delhi indicate that most of the water bodies are shallow with water temperature between 23-35 0C. Some water bodies are silt laden which normally absorb sunrays and warm up more rapidly than clear water. Tihar Jheel and Dwarka Lake were the typical example of such phenomenon. The pH of water in various water bodies ranged between 7.00 to 8.04. The high values of conductivity in water of lakes indicate high level of dissolved solids, causing ionic imbalance in a water body to an extent, which may disrupts aquatic life. Maximum concentration of total dissolved solids (4002 mg/l) leading to very high conductivity (6160.0 µmhos/cm2) of water was observed in Bhalsawa Lake. The increased dissolved oxygen levels in the lakes during daytime depict eutrophic conditions in most lakes/reservoirs. The nutrient level of the lakes in the form of BOD, COD, Nitrites, Nitrates, Phosphates etc. have been found quite elevated. Almost all the lakes/ reservoirs have been affected by faecal contamination. The sources of increased number of Total Coliforms indicate soil-originated contamination of the water bodies.
Table 5.12 Trace Metals in Water of Lakes and Reservoirs in Delhi
|
S. No. |
Lakes/Reservoirs |
Trace Metals, mg/l |
||||||
|
Cadmium |
Chromium |
Copper |
Iron |
Nickel |
Lead |
Zinc |
||
|
1. |
Sanjay Lake |
NT |
0.02 |
NT |
0.58 |
NT |
NT |
0.06 |
|
2. |
Tihar Jheel |
NT |
NT |
NT |
3.72 |
NT |
NT |
NT |
|
3. |
Naini Lake |
NT |
NT |
NT |
0.70 |
0.20 |
NT |
NT |
|
4. |
Jhilmil Colony Lake |
NT |
0.19 |
1.42 |
21.38 |
0.17 |
NT |
0.79 |
|
5. |
Bhalsawa Lake |
NT |
NT |
NT |
0.75 |
0.04 |
NT |
NT |
|
6. |
Mayapuri Lake |
NT |
0.01 |
0.01 |
0.28 |
NT |
NT |
NT |
|
7. |
Mundella Khurd |
NT |
0.07 |
0.07 |
15.38 |
0.32 |
NT |
0.09 |
|
8. |
Dwarka Lake |
NT |
NT |
0.01 |
3.36 |
NT |
NT |
NT |
|
9. |
Bagdola Pond |
NT |
0.02 |
NT |
0.49 |
NT |
NT |
NT |
|
10. |
Duckweed Pond |
NT |
NT |
NT |
0.39 |
NT |
NT |
0.03 |
|
11. |
Fish Pond |
NT |
0.05 |
0.02 |
13.99 |
NT |
NT |
0.01 |

NT = Not traceable


Fig
5.11 Water Quality Characteristics in Lakes/Reservoirs in Delhi
Table 5.13 Pesticide Residue in water of Lakes/Reservoirs in Delhi
|
S. No. |
Lakes/Reservoir |
Pesticides Residue Concentration, nanogram/l |
||||
|
Total BHC |
Aldrin |
Total Endosulfan |
Dieldrin |
Total DDT |
||
|
1. |
Sanjay Lake |
26.16 |
NT |
40.78 |
1.63 |
NT |
|
2. |
Tihar Jheel |
17.96 |
NT |
NT |
NT |
NT |
|
3. |
Naini Lake |
28.51 |
NT |
NT |
NT |
NT |
|
4. |
Jhilmil Colony Lake |
NT |
57.59 |
NT |
NT |
NT |
|
5. |
Bhalswa Lake |
NT |
NT |
NT |
NT |
NT |
|
6. |
Mayapuri Lake |
NT |
NT |
NT |
NT |
NT |
|
7. |
Mundella Khurd |
49.66 |
NT |
NT |
4.28 |
NT |
|
8. |
Dwarka Depression |
19.73 |
NT |
NT |
NT |
NT |
|
9. |
Bagdola Pond |
23.04 |
NT |
NT |
NT |
33.07 |
|
10. |
Duckweed Pond |
17.94 |
NT |
NT |
NT |
NT |
|
11. |
Fish Pond |
752.65 |
NT |
2.99 |
NT |
NT |
The trace metals contamination have been found maximum at Jhilmil Colony Lake , where all the trace metals except Cadmium and Lead have been recorded probably because of discharge/surface run off from adjoining Jhilmil Colony industrial units. Among Pesticides, the concentration of Total BHC has been found maximum in Fish Pond at Wazirabad, Aldrin at Jhilmil Colony Lake, Total Endosulfan at Sanjay Lake, Dieldrin at Mundella Khurd and Total DDT at Bagdola Pond. The presence of Total BHC has been observed in most of the water bodies probably due to extensive use of pesticide for Mosquito control.
5.2.4 Biological Water Quality of Lakes/Reservoirs in Delhi
The Biological Water Quality Criteria (BWQC) have been applied for water quality assessment of lakes/ponds/reservoirs in NCT - Delhi. The findings of biological water quality evaluation are presented below:5.2.5 Bio-monitoring on River Hugli, Kolkata
Biological monitoring of water quality could be useful for assessing the overall health of the water bodies. It is an assessment, which depends on the fact that pollution of water body will disrupt the ecological balance of the system. Thus by measuring the extent of the ecological degradation the intensity of pollution arising out of the improper disposal may be estimated. As river Hooghly runs through the heart of one of the largest urbanized city – the Kolkata, it has been continuously affected by the anthropogenic environment distortion and the rich variety of fauna being threatened. The increased silt deposition and reduced discharge from feeder rivers, discharge of large amount of Industrial effluents and domestic sewage from innumerable industries and Urban centers and withdrawal of huge amount of water both for human consumption and industrial requirement considerably altering the condition of the river in terms of its diversity. The changes in river water quality brought about by modern civilization can be assessed by chemical and biological analysis.Benthos are regarded as the best indicator of pollution as they are sedentary, sessile, long lived and easily collectable. It is an assesment which depends on the fact that pollution in water body will cause changes in the physical and chemical environment of the water and that those changes will disrupt the ecological balance of the system. Thus, by measuring the extent of the ecological upset, the severity of the pollution can be estimated.
Biomonitoring studies have been undertaken at seven monitoring stations at the Hooghly river of Ganga basin. Diamond Harbour is the extreme downstream station and Behrampore is the extreme upstream station. In between the extreme downstream station and upstream station there are other stations, which are:5.2.6 Monitoring of Polluted stretches of rivers - River Subarnarekha
The Subarnarekha river is an interstate river flowing through the States of Jharkhand, Orissa and West Bengal. The 450 kilometres long Subarnarekha `the streak of gold’ for its gold bearing sands originates from Chotanagpur plateau, about 15 kilometres south-east of capital city of Ranchi. It flows through plateaus and plains area of Jharkhand for about 324 kilometre, 62 kilometre in Orissa and 64 kilometre in West Bengal before meeting Bay of Bengal. Major sources of organic and inorganic pollutants are both domestic and industrial sectors. It is estimated that more than 0.4 million cubic metres of untreated and partially treated wastewater are discharged daily into the Subarnarekha river. Besides, certain quantity of uncontrolled discharge of mine waste and allied economic activities in the basin account for both metallic and non-metallic substances.The middle stretch of the river from Jamshedpur to Behragora has been chosen for the present study because:
Six sampling stations were identified under the study as U/S Jamshedpur, D/S Jamshedpur, Jaduguda, Ghatsila, Mushabani and Behragora. With specific location-wise consideration the river water quality, in terms of primary criteria parameters for designated use, at up and down streams Jamshedpur, Ghatsila and Beharagora do not conform to the desired class `C’ whereas the water quality at Jaduguda and Mushabani meets the required criteria. While considering the study stretch as a whole and the mean values of BOD (>3mg/l) and Total Coliform Bacteria (>5000 MPN/100 ml), the stretch does not qualify the desired class. The present status of water quality is summarized in Table 5.14. Besides the concentration of metals in sediment and in water are presented in Table 5.15 and 5.16.
Table 5.14 Water Quality Status of River
Subarnarekha
|
River Stretch |
Assigned Class |
Designated Use |
Criteria Parameters |
|
Remarks |
Critical Parameter |
|||
|
pH |
DO |
BOD |
TC |
||||||
|
Jamshedpur U/S |
C |
Drinking water source after conventional treatment and disinfection |
pH : 6-9 100ml |
8 |
8.1 |
3 |
9000 |
Does not conform Class `C’ |
TC |
|
Jamshedpur D/S |
C |
7.9 |
7.6 |
5 |
16000 |
Does not conform Class `C’ |
TC & BOD |
||
|
Jaduguda |
C |
7.9 |
7.6 |
3 |
2800 |
Class `C’ |
|||
|
Ghatsila |
C |
7.6 |
6.9 |
3 |
9000 |
Does not conform Class `C’ |
TC |
||
|
Mushabani |
C |
7.7 |
7.8 |
3 |
2200 |
Class `C’ |
|||
|
Behragora |
C |
7.4 |
8.2 |
5 |
9000 |
Does not conform Class `C’ |
TC & BOD |
||
|
Station |
Fe |
Pb |
Zn |
Mn |
Cu |
Cd |
As |
Hg |
Cr |
Co |
Ni |
|
Jamshedpur U/S |
24 |
NT |
.05 |
NT |
NT |
NT |
0.012 |
NT |
NT |
NT |
NT |
|
Jamshedpur D/S |
28 |
NT |
NT |
NT |
NT |
NT |
0.012 |
NT |
NT |
NT |
NT |
|
Jaduguda |
0.15 |
NT |
NT |
NT |
NT |
NT |
0.012 |
NT |
NT |
NT |
NT |
|
Ghatsila |
0.16 |
NT |
NT |
NT |
.06 |
NT |
0.01 |
NT |
NT |
NT |
NT |
|
Mushabani |
0.12 |
NT |
NT |
NT |
.05 |
NT |
0.012 |
NT |
NT |
NT |
NT |
|
Behragora |
0.09 |
NT |
NT |
NT |
NT |
NT |
0.01 |
NT |
NT |
NT |
NT |
NT = Not Traceable
Table 5.16 Heavy metals content in Sediment (mg/kg) of Subarnarekha
|
Parameters |
Jamshedpur U/S |
Jamshedpur D/S |
Jaduguda |
Ghatsila |
Musha Bani |
Behra gora |
|
Lead (Pb) |
ND |
ND |
ND |
ND |
ND |
ND |
|
Cadmium (Cd) |
ND |
ND |
ND |
ND |
ND |
ND |
|
Mercury (Hg) |
- |
1.0 |
0.7 |
0.9 |
3.3 |
1.8 |
|
Arsenic (As) |
0.02 |
0.05 |
0.03 |
0.03 |
0.02 |
0.02 |
|
Cobalt (Co) |
13 |
72 |
28 |
51 |
60 |
46 |
|
Zinc (Zn) |
44 |
77 |
34 |
63 |
52 |
33 |
|
Copper (Cu) |
17 |
27 |
15 |
93 |
229 |
57 |
|
Chromium (Cr) |
48 |
72 |
28 |
51 |
60 |
46 |
|
Manganese (Mn) |
440 |
950 |
362 |
500 |
394 |
269 |
5.2.7Bio-monitoring of Lakes at Bangalore
Bio-monitoring was conducted in Yellemalappa, Sankey and Ulsoor lakes in addition to T.G.Halli reservoir including|
Lake/ Reservoir |
pH |
Cond-uctivity |
DO |
Alkal- inity |
TDS |
BOD |
COD |
Chlo-rides |
Na+ |
Phos-phate |
Sulp-hate |
Nitrate Nitrogen |
Ammonical Nitrogen |
|
Sankey |
7.6 |
419 |
7.9 |
142 |
295 |
5 |
34 |
49 |
44. |
0.15 |
5 |
<1 |
0.19 |
|
Ulsoor |
7.4 |
624 |
8.8 |
244 |
441 |
34 |
115 |
63 |
79 |
2.79 |
19 |
3 |
1.32 |
|
Yellema- |
8.7 |
1071 |
10 |
235 |
556 |
9 |
41 |
186 |
157 |
1.14 |
16 |
9 |
- |
|
TG Halli |
8.6 |
283 |
7.2 |
100 |
171 |
2 |
10 |
34 |
34 |
0.03 |
9.7 |
2 |
0.06 |
Note: All values are expressed in mg/l except pH and conductivity (uS/cm).
Table 5.18 Biological Water Quality of Lakes in Bangalore
|
Lake / Reservoir |
Chlorophyll (mg/cu.m ) |
P / R |
SCI |
BMWP |
|
Sanky |
28.2 |
1.1 |
0.2-0.8 |
5-6.8 |
|
Ulsoor |
152 |
<1 |
Less than 0.5 |
0.0-0.7 |
|
Yellemalappa |
288 |
< 1 |
0.2-0.9 |
5.1-6.6 |
|
TGHalli |
20.6 |
1.2 |
0.1-1 |
Above 7 |
P/R: Photosynthesis/ Respiration ratio,
SCI: Sequential Comparison Index. The SCI (diversity score) is the ratio of total number of runs and total number of organisms encountered. The ratio is equal to or less than one.
BMWP : Biological Monitoring Working Party (Saprobic score) indicates preference for oxygen availability.
The high level of BOD and COD in Ulsoor and Yellemalappa lakes, depict deteriorating water quality. Further, high concentrations of Phosphorus, Ammonia and Chlorophyll with low P/R ratio indicate that Ulsoor lake is affected due to domestic discharge, whereas the presence of high conductivity, and Boron reveal that industrial discharges are taking place into the Yellemalappa lake. At TG Halli reservoir, the water quality appears to be close to drinking standards. Sankey Lake have moderate water quality and used only for recreational purpose. Except T.G. Halli reservoir, the three lakes are used for " Ganesha" idol immersion and religious activities. Biological analysis supported by physico-chemical analysis of the lakes and reservoirs reveal that TGHalli reservoir is relatively clean, followed by Sankey, Yellemalappa and Ulsoor lakes. It is observed that the diversity score is low in both Ulsoor lake and T.G. Halli reservoir. However, Saprobic score in case of T.G. Halli reservoir indicates the abundance of species requiring high oxygen availability.
5.2.8 Monitoring of River Godavari at Andhra Pradesh
A survey along the Andhra Pradesh stretch of river Godavari was undertaken followed by water quality monitoring at 21 identified locations. Based on the flow data of the river and the quantum of industrial discharge, the total load of pollution as estimated is presented in Table 5.19. A detailed report being prepared to develop an action plan for improvement of water quality.
Table 5.19 Water Quality Status of Godavari River in Andhra Pradesh
|
Locations |
pH |
Turbidity |
TDS |
Total Hard |
Ca Hard |
Mg. Hard |
Alka- |
Chlo-rides |
Sulphate |
Phos-phate |
Sodium |
Boron |
NO2+ |
NH3-N |
|
D/s of confluence with Manjeera River at Basar |
8.7 |
5.6 |
346 |
121 |
112 |
9 |
234 |
90 |
66 |
0.02 |
60 |
0.12 |
0.25 |
BDL |
|
Outfall of M/S.Pioneer Distillery, Nanded |
8.5 |
21.5 |
450 |
173 |
162 |
11 |
256 |
51 |
99 |
0.01 |
86 |
0.12 |
0.51 |
0.01 |
|
D/s of outfall of the distillery at Basar |
8.5 |
24.7 |
350 |
141 |
118 |
23 |
238 |
38 |
71 |
0.01 |
66 |
0.10 |
0.23 |
0.03 |
|
U/s of sewage outfall , Mancheral |
8.8 |
1.0 |
302 |
149 |
140 |
9 |
254 |
28 |
22 |
0.01 |
104 |
0.11 |
0.07 |
0.01 |
|
Outfall of M/S NTPC Ash pond & sewage+APGENCO & sewage, Ramagun-dam
|
8.8 |
5.5 |
666 |
278 |
202 |
76 |
266 |
77 |
200 |
0.01 |
96 |
0.10 |
0.12 |
BDL |
|
Outfall of M/S NTPC plant effluent+ M/S FCI sewage at Mancheral |
8.7 |
2.1 |
364 |
161 |
134 |
27 |
254 |
31 |
23 |
0.02 |
52 |
0.09 |
0.291 |
BDL |
|
M/S Singareni Collieries+ sewage at Mancheral |
8.8 |
2.2 |
952 |
274 |
213 |
61 |
266 |
160 |
284 |
0.17 |
200 |
0.28 |
1.43 |
BDL |
|
U/s. of Heavy Water Plant, Bhadra-chalam |
8.8 |
0.5 |
270 |
125 |
112 |
13 |
204 |
28 |
15 |
0.02 |
38 |
0.05 |
0.12 |
0.01 |
|
D/s of Heavy Water Plant ,before confluence of river Indravati |
8.8 |
1.3 |
242 |
117 |
106 |
11 |
186 |
29 |
15 |
0.00 |
36 |
0.05 |
0.05 |
BDL |
|
Sewage outfall at Bhadra-chalam |
8.8 |
1.7 |
256 |
117 |
78 |
39 |
184 |
30 |
14 |
0.002 |
38 |
0.06 |
0.12 |
0.003 |
|
Outfall of M/S Bhadrachalam Paper Ltd,Bhadra-chalam |
8.7 |
1.4 |
598 |
133 |
101 |
32 |
190 |
43 |
27 |
0.01 |
44 |
0.02 |
0.11 |
BDL |
|
D/s of KTPS discharge into Kinarasany stream before confluence with Godavari |
8.7 |
1.6 |
294 |
109 |
102 |
7 |
188 |
33 |
18 |
0.01 |
36 |
0.04 |
0.04 |
BDL |
|
D/s of confluence with Kinarasany |
8.8 |
1.6 |
402 |
121 |
118 |
3 |
192 |
31 |
17 |
0.006 |
38 |
0.03 |
0.08 |
0.003 |
|
U/s of outfall of M/s A.P. Rayon Ltd, Warangal |
8.2 |
38.2 |
1574 |
314 |
263 |
51 |
82 |
554 |
135 |
0.35 |
300 |
0.32 |
1.42 |
3.52 |
|
D/s of outfall of M/s A.P. Rayon Ltd |
8.7 |
1.7 |
288 |
65 |
22 |
43 |
98 |
98 |
5.0 |
0.03 |
20 |
0.13 |
0.36 |
BDL |
|
U/s of sewage outfall of Khammam |
8.9 |
1.5 |
268 |
65 |
39 |
26 |
98 |
98 |
5.0 |
0.01 |
14 |
0.03 |
0.14 |
0.004 |
|
Outfall of M/S AP Paper Mill, Rajamundry |
2.4 |
3.1 |
708 |
161 |
134 |
27 |
4 |
4 |
99.0 |
0.30 |
1260 |
0.61 |
1.86 |
BDL |
|
Outfall of sewage from Rajamundry |
5.8 |
2.2 |
80 |
56 |
50 |
6 |
104 |
104 |
5.0 |
0.01 |
14.4 |
0.05 |
0.18 |
0.002 |
|
D/s of Rajamundry |
8.7 |
1.2 |
384 |
113 |
84 |
29 |
190 |
190 |
14.0 |
0.00 |
35.2 |
0.10 |
0.04 |
0.01 |
|
Outfall of ETP of M/S Andhra Sugar Ltd, Kovur |
8.6 |
0.8 |
384 |
141 |
90 |
51 |
182 |
182 |
15.0 |
0.01 |
37.6 |
0.06 |
0.05 |
BDL |
|
Outfall of cooling water of M/S Andhra Sugars Ltd, Kovur |
8.7 |
3.2 |
1972 |
113 |
106 |
7 |
206 |
26 |
16.0 |
0.03 |
40.0 |
0.15 |
0.08 |
0.002 |
Note:- All values are expressed in mg/l except pH and Turbidity (NTU).
Monthly monitoring of river Ramganga has been undertaken at ten locations during the year. The data collected for Diversity Indices and Saprobity Indices are presented in Table 5.20 and existing water quality class is depicted in the map below.
From data, it is evident that as long as the river passes through the hills and reserve forests (Jim Corbett National Park) the deterioration of biological water quality is negligible. The deterioration of water quality starts in Bijnor district as some industries dispose their waste into the river. At downstream of Moradabad, where drain and river Dhela joins the river, the river stretch is affected. The river regains itself a bit but sudden load from Rampur deteriorates its quality to class D. Further downstream, it slowly recovers its biota and maintains Class C till it joins the river Ganga.
5.3 AIR QUALITY MONITORING
5.3.1 Air Quality Assessment
The air quality of different cities/towns with respect to three criteria pollutants has been compared with the respective National Ambient Air Quality Standards and categorized into four broad categories based on an Exceedence Factor (the ratio of annual mean concentration of a pollutant with that of a respective standard). The Exceedence Factor (EF) is calculated as follows:
Observed annual mean concentration of criteria pollutant
Exceedence Factor = --------------------------------------------------------------- Annual standard for the respective pollutant and area class
This analysis contains the air quality assessment of 155 monitoring locations (in 64 cities/towns), out of which 81 are in residential, 71 in industrial and 3 in sensitive areas. At 49 locations (27 residential and 22 industrial), data are insufficient (< 50 monitoring days in the year) with respect to gaseous pollutants and at 56 locations (36 residential, 19 industrial and 1 sensitive) with respect to SPM (Table 5.21). Such locations have not been considered for air quality assessment.
Table 5.21 Classification of Monitoring Stations
|
Area type |
Number of monitoring stations with adequate data |
Number of locations with inadequate data |
|
|
Gaseous Pollutants |
SPM |
||
|
Residential |
81 |
27 |
36 |
|
Industrial |
71 |
22 |
19 |
|
Sensitive |
3 |
- |
1 |
|
Total |
155 |
49 |
56 |
Table 5.22 Ambient Air Quality Status of various cities/towns during Year 2000
|
Pollution level |
Annual Mean Concentration Range (µg/m3)
|
|||||||||
|
Industrial (I) |
Residential (R) |
|||||||||
|
SO2 & NO2 |
SPM |
SO2 & NO2 |
SPM
|
|||||||
|
Low (L) |
0-40 |
0-180 |
0-30 |
0-70 |
||||||
| Moderate (M) |
40-80 |
180-360 |
30-60 |
70-140 |
||||||
|
High (H) |
80-120 |
360-540 |
60-90 |
140-210 |
||||||
|
Critical (C) |
>120 |
>540 |
>90 |
>210 |
||||||
|
STATE / CITY |
SO2 |
NO2 |
SPM |
|||||||
|
AREA CLASS |
I |
R |
I |
R |
I |
R |
||||
|
Andhra Pradesh |
||||||||||
|
Hyderabad |
L |
L |
M |
L |
M |
M |
||||
|
Vishakhapatnam |
L |
L |
L |
L |
L |
M |
||||
|
Assam |
||||||||||
|
Guwahati |
L |
M |
H |
|||||||
|
Bihar/Jharkhand |
||||||||||
|
Dhanbad |
L |
L |
L |
L |
M |
C |
||||
|
Jharia |
L |
- |
L |
- |
H |
- |
||||
|
Jamshedpur |
M |
M |
M |
M |
M |
C |
||||
|
Patna |
- |
L |
- |
L |
- |
C |
||||
|
Delhi |
||||||||||
|
Delhi |
L |
L |
M |
H |
M |
C |
||||
|
Gujarat |
||||||||||
|
Ahmedabad |
L |
L |
L |
M |
- |
- |
||||
|
Goa |
||||||||||
|
Ponda |
- |
L |
- |
L |
- |
M |
||||
|
Vasco |
L |
- |
L |
- |
L |
- |
||||
|
Himachal Pradesh |
||||||||||
|
Damtal |
- |
L |
- |
L |
- |
C |
||||
|
Parwanoo |
L |
L |
L |
L |
M |
H |
||||
|
Paonta Sahib |
L |
- |
L |
- |
L |
- |
||||
|
Shimla |
- |
L |
- |
L |
- |
L |
||||
|
Haryana |
||||||||||
|
Yamuna Nagar |
L |
- |
L |
- |
M |
- |
||||
|
Karnataka |
||||||||||
|
Bangalore |
L |
L |
L |
M |
L |
C |
||||
|
Mysore |
L |
- |
L |
- |
L |
- |
||||
|
Kerala |
||||||||||
|
Cochin |
M |
L |
L |
M |
L |
- |
||||
|
Kottayam |
L |
- |
L |
- |
L |
- |
||||
|
Kozhikode |
L |
L |
L |
L |
L |
L |
||||
|
Palakad |
L |
- |
M |
- |
L |
- |
||||
|
Thiruvananthapuram |
L |
L |
L |
L |
L |
L |
||||
|
STATE / CITY |
SO2 |
NO2 |
SPM |
|||||||
|
AREA CLASS |
I |
R |
I |
R |
I |
R |
||||
|
Maharashtra |
||||||||||
|
Mumbai |
L |
L |
L |
M |
- |
- |
||||
|
Chandrapur |
L |
L |
M |
M |
L |
H |
||||
|
Nagpur |
L |
L |
L |
M |
L |
H |
||||
|
Nasik |
L |
M |
L |
L |
L |
M |
||||
|
Pune |
M |
M |
M |
H |
L |
H |
||||
|
Solapur |
L |
L |
M |
M |
H |
C |
||||
|
Madhya Pradesh |
||||||||||
|
Bhilai |
L |
L |
L |
M |
L |
M |
||||
|
Bhopal |
L |
L |
L |
L |
L |
H |
||||
|
Indore |
L |
L |
L |
L |
M |
C |
||||
|
Jabalpur |
- |
- |
- |
L |
- |
M |
||||
|
Korba |
- |
L |
- |
L |
- |
M |
||||
|
Nagda |
M |
M |
M |
L |
L |
M |
||||
|
Raipur |
L |
L |
L |
M |
L |
H |
||||
|
Satna |
L |
L |
L |
L |
M |
M |
||||
|
Meghalaya |
||||||||||
|
Motinagar |
- |
L |
- |
L |
- |
L |
||||
|
Orissa |
||||||||||
|
Angul |
- |
L |
- |
L |
- |
H |
||||
|
Rourkela |
L |
L |
L |
L |
L |
H |
||||
|
Talcher |
L |
- |
L |
- |
L |
- |
||||
|
Punjab |
||||||||||
|
Gobindgarh |
L |
- |
L |
- |
H |
- |
||||
|
Jalandhar |
L |
L |
L |
M |
M |
C |
||||
|
Ludhiana |
L |
L |
L |
M |
M |
C |
||||
|
Rajasthan |
||||||||||
|
Alwar |
L |
L |
H |
H |
M |
C |
||||
|
Jaipur |
L |
L |
M |
M |
- |
- |
||||
|
Kota |
L |
L |
L |
L |
M |
- |
||||
|
Udaipur |
- |
L |
M |
M |
- |
- |
||||
|
Tamil Nadu |
||||||||||
|
Chennai |
L |
L |
L |
L |
L |
- |
||||
|
Madurai |
L |
L |
L |
M |
L |
H |
||||
|
Salem |
- |
- |
- |
L |
- |
M |
||||
|
Uttar Pradesh/Uttranchal |
||||||||||
|
Agra |
- |
L |
- |
L |
- |
C |
||||
|
Anpara |
M |
- |
M |
- |
M |
- |
||||
|
Dehradun |
L |
L |
L |
L |
M |
C |
||||
|
Gajroula |
L |
- |
L |
- |
M |
H |
||||
|
Kanpur |
L |
L |
L |
M |
M |
C |
||||
|
|
||||||||||
|
|
||||||||||
|
STATE / CITY |
SO2 |
NO2 |
SPM |
|||||||
|
AREA CLASS |
I |
R |
I |
R |
I |
R |
||||
|
West Bengal |
||||||||||
|
Haldia |
L |
- |
M |
- |
L |
- |
||||
|
Howrah |
L |
L |
M |
M |
L |
M |
||||
|
Kolkata |
L |
L |
M |
M |
- |
- |
||||
|
Chandigarh |
- |
- |
- |
- |
M |
H |
||||
|
Pondichery |
- |
L |
- |
L |
- |
M |
||||
Note : ‘-‘ - Data Not Available/Inadequate
5.3.2 Status of Air Pollutants
Sulphur Dioxide (SO2)
The annual mean concentration of SO2 vis-à-vis number of monitoring stations is depicted in Fig 5.12. It is observed that all the locations conformed to the respective standards.

The locations having highest ten values of annual mean concentration of Sulphur Dioxide are presented in Table 5.23. The annual mean concentration of Sulphur dioxide were within the designated air quality standards at all the locations.
Table 5.23 Ten locations having highest concentration of Sulphur Dioxide during year 2000
|
S. No |
Industrial |
Residential
|
||||
|
Location |
State |
Annual mean conc. (µg/m3) |
Location |
State |
Annual mean conc. (µg/m3)
|
|
|
1. |
Anpara Colony, Anpara |
U.P. |
65 |
Sakchi water tower, Jamshedpur
|
Bihar |
53 |
|
2. |
Renusagar Colony, Anpara |
U.P. |
64 |
Grasim Kalyan Kendra, Nagda |
M.P. |
51 |
|
3. |
Chemical Division Labour Club, Nagda |
M.P. |
53 |
Mandai, Pune
|
Maharashtra |
43 |
|
4. |
Burmamines Water tower, Jamshed pur |
Bihar |
47 |
M/s Chemiquip Ltd., Ambarnath
|
Maharashtra |
38 |
|
5. |
Poud Phata (Kothrud), Pune |
Maharashtra |
46 |
Nasik Municipal Corpn. Building, Nasik
|
Maharashtra |
36 |
|
6. |
Eloor, Cochin |
Kerala |
42 |
RTO Colony Tank, Nasik |
Maharashtra |
31 |
|
7. |
Super Market, Haldia |
West Bengal |
34 |
Sub-R. Office, Bapat Nagar, Chandrapur |
Maharashtra |
28 |
|
8. |
KIADB Building, Mysore |
Karnataka |
31 |
Kothari Market, M.G. Road, Indore |
M.P. |
27 |
|
9. |
K.R. Circle, Visvesvaraya Bldg, Mysore |
Karnataka |
31 |
Visak Hostel, Sec.-4, Bhilai
|
M.P. |
27 |
|
10 |
M.I.D.C. Chandrapur |
Maharashtra |
30 |
Anand Rao Circle, Bangalore
|
Karnataka |
24 |
* - Locations, where Annual mean concentration of SO2 exceeded the respective standard of 80 µg/m3 for industrial and 60 µg/m3 for Residential areas.

Fig 5.13 Percent violation of 24-hourly Ambient Air Quality Standards (Sulphur dioxide)
Percent violation with respect to 24-hourly Air Quality Standards is depicted in Fig. 5.13. During year 2000, at Nagda, Madhya Pradesh, either Annual Mean Concentration or 24-hourly or both values exceeded the respective standards.
Based on the analysis of air quality data (Annual Mean Concentration) at all the monitoring stations and pollution level categorization, the status of SO2 levels during year 2000 is presented in the Fig 5.14.

Oxides of Nitrogen (as NO2)

The annual mean concentration standards of Nitrogen Dioxide of sensitive area exceeded at city of Kota. Table 5.24 enlist locations having ten highest values of annual mean concentration of Nitrogen dioxide.
Table 5.24 Ten Locations having Highest Concentration of Nitrogen Dioxide
|
Industrial |
Residential |
|||||
|
S.No |
Location |
State |
Annual mean conc. (µg/m3) |
Location |
State |
Annual mean conc. (µg/m3) |
|
1. |
RIICO Pump House, Alwar |
Rajasthan |
81* |
Regional Office, RSPCB, Alwar |
Rajasthan |
79* |
|
2. |
Super Market, Haldia |
West Bengal |
77 |
Town Hall, Delhi |
Delhi |
64* |
|
3. |
Gaurav Solvex, Alwar |
Rajasthan |
73 |
Mandai, Pune |
Maharashtra |
60* |
|
4. |
Anpara Colony, Anpara |
U.P. |
68 |
M/s Chemiquip Ltd., Ambarnath |
Maharashtra |
58 |
|
5. |
Renusagar Colony, Anpara |
U.P. |
67 |
Anand Rao Circle, Bangalore |
Karnataka |
56 |
|
6. |
Poud Phata, (Kothrud) , Pune |
Maharashtra |
64 |
Sarojini Nagar, Delhi |
Delhi |
53 |
|
7. |
WBIIDC, Haldia |
West Bengal |
60 |
Sakchi Water Tower, Jamshedpur |
Bihar |
52 |
|
8. |
Howrah Municipal Corpn., Howrah |
West Bengal |
60 |
Sub-R.O., Bapat Nagar, Chandrapur |
Maharashtra |
51 |
|
9. |
Palakad, Kanjokode (W) |
Kerala |
60 |
Bandhaghat, Howrah |
West Bengal |
50 |
|
10 |
ESI Disp., Nazafgarh Road, Delhi |
Delhi |
57 |
Tripolia Bazar, Jaipur
|
Rajasthan |
47 |
Percentage violations with respect to 24-hourly standards is depicted in Fig. 5.16. The number of locations where either annual mean or 24-hourly concentration exceeded the Air Quality standards for NO2 for more than 5% times are listed in Table 5.25. During 2000, one sensitive, three industrial and eleven residential locations violated the 24-hourly Air Quality Standards of NO2 for more than 5% of the times.
Fig 5.16 Percent violation of 24-hourly standards (Nitrogen Dioxide)
|
Table 5.25 Locations where either annual mean or 24-hourly Nitrogen Dioxide concentration violated respective standards |
||||
|
Location |
State |
Area Class |
Annual Mean Conc. (µg/m3) |
% Exceedence Over 24-Hourly Air Quality Standards |
|
Jhotwara Industrial Area, Jaipur |
Rajasthan |
Industrial |
48 |
7 |
|
M/S Carborandum Universal Ltd.,Kanj |
Kerala |
Industrial |
60 |
12 |
|
Super Market, Haldia |
West Bengal |
Industrial |
77 |
8 |
|
Anand Rao Circle, Bangalore |
Karnataka |
Residential |
56 |
15 |
|
M/s Chemiequip Ltd, Ambarnath |
Maharashtra |
Residential |
58 |
24 |
|
N.Y. SCHOOL, Sarojini Nagar, Delhi |
Delhi |
Residential |
53 |
8 |
|
Town Hall, Delhi |
Delhi |
Residential |
64 |
18 |
|
Tripolia Bazar, Jaipur |
Rajasthan |
Residential |
47 |
10 |
|
PHED, Gandhi Nagar, Jaipur |
Rajasthan |
Residential |
35 |
6 |
|
Maskasath, Nagpur |
Maharashtra |
Residential |
32 |
5 |
|
Kalbadevi, Bombay |
Maharashtra |
Residential |
34 |
7 |
|
Regional Office, Alwar |
Rajasthan |
Residential |
79 |
41 |
|
Kunnathur chatram East Avani moolai |
Tamil Nadu |
Residential |
36 |
7 |
|
Bandhaghat, Howrah |
West Bengal |
Residential |
50 |
5 |
Based on the analysis of air quality data at all the monitoring stations and pollution level categorization, the status of NO2 during 2000 is presented in the Fig 5.17. In residential area, NO2 is reported to be high at one industrial and three residential locations in the country. It is observed that NO2 violations are mainly in the State of Rajasthan (Alwar ), Delhi and Maharashtra (at Pune).
Suspended Particulate Matter (SPM)
The annual mean concentration of SPM vis-à-vis number of monitoring stations is presented in Fig. 5.18. It is observed that at two sensitive, five industrial and 35 residential locations, SPM level exceeded the annual Air Quality standards for SPM. Table 5.26 enlists the ten locations having ten highest values of SPM in the country.

Fig 5.17 Status of Nitrogen Dioxide
levels in terms of high, moderate and low pollution

Fig. 5.18 Annual Mean Concentration of SPM (various ranges) vis-à-vis Number of monitoring stations
|
Industrial |
Residential |
|||||
|
S. No |
Location |
State |
Annual Mean Conc. (µg/m3) |
Location |
State |
Annual Mean Conc. (µg/m3) |
|
1. |
M. Steels, Mandi Govindgargh |
Punjab |
399* |
Gandhi Maidan, Test Centre, Patna |
Bihar |
575* |
|
2. |
Punjab Steel Mills, Mandi Govindgargh |
Punjab |
396* |
Clock Tower, MC Office, Ludhiana |
Punjab |
449* |
|
3. |
WIT Campus, Solapur |
Maharashtra |
390* |
Chitale Clinic, Solapur |
Maharashtra |
399* |
|
4. |
Nunhai, Agra
|
U.P. |
388* |
F & T Centre, K. Nagar, Kanplur |
U.P. |
349* |
|
5. |
MADA, Jharia |
Bihar |
373* |
Regional Office, Bodla, Agra |
U.P. |
349* |
|
6. |
Rita Sewing Machines, Ludhiana |
Punjab |
354 |
Deputy Ka Parao, Kanpur |
U.P. |
347* |
|
7. |
M/s A.Chem.P.Ltd., Fazalganj, Kanpur |
U.P. |
354 |
Municipal Council, Jalandhar |
Punjab |
328* |
|
8. |
MP Laghu Udyog Nigam Ltd., Indore |
M.P. |
354 |
Ashok Vihar, Delhi |
Delhi |
306* |
|
9. |
Shahzada Bagh, Delhi |
Delhi |
342 |
Kothari Market, MG Road, Indore |
M.P. |
292* |
|
10 |
M/s Zed Indl. S & S Complex, Jalandhar |
Punjab |
324 |
Regional Office, Jalandhar |
Punjab |
289* |
The details of location where 24-hourly values of SPM exceeded the standards for more than 5% of the times are depicted in Fig. 5.19. During 2000, three sensitive locations (Tajmahal at Agra, Barkhera at Kota and Tekka Bench Ridge at Shimla), 10 industrial and 42 residential locations violated the 24-hourly values of SPM for more than 5% of times.

Fig 5.19 Percent violation of 24-hourly standards (Suspended Particulate Matter)
Status of SPM
Based on the analysis of air quality data (Annual Mean Concentration) at all the monitoring stations and pollution level categorization, the status of SPM during 2000 (Fig. 5.20) is reported to be critical at 19 locations and high at 16 locations in residential areas while high at 5 locations in industrial areas.
Summary and Conclusion
Air Pollution problem is widespread in 59 cities, where at least one criteria pollutant exceeded either annual or 24-hourly air quality standards at any of the monitoring locations.
Table 5.27 shows the number of stations violating annual air quality standards and 24-Hourly standards for more than 2% of the times in the year 2000 with respect to individual criteria pollutant. It is quite evident that SPM is the major problem in the residential areas of most of the cities/towns.

Table 5.27 Number of stations violating Annual and 24-hourly standards
|
Area Class |
SO2 |
NO2 |
SPM |
|||
|
24-Hourly |
Annual |
24-Hourly |
Annual |
24-Hourly |
Annual |
|
|
Residential |
2 |
- |
17 |
3 |
45 |
35 |
|
Industrial |
1 |
- |
4 |
1 |
14 |
5 |
|
Sensitive |
- |
- |
1 |
1 |
1 |
1 |
|
Total |
3 |
0 |
22 |
5 |
60 |
41 |
5.3.3 Respirable Suspended Particulate (RSPM) Monitoring
RSPM levels were measured in various cities and towns in India. Under National Ambient Air Quality Monitoring Network the RSPM levels in residential areas are depicted in Fig 5.21. RSPM levels exceeded the NAAQS (annual average) in residential areas of Hyderabad, Visakhapatnam, Delhi, Ahmedabad, Parwanoo, Bangalore, Cochin, Dehradun, Thiruvananthapuram, Mumbai, Nagpur, Pune, Solapur, Angul, Rourkela, Jaipur, Chennai, Kanpur, Lucknow and Kolkata. The RSPM levels in industrial areas are depicted in Fig 5.22. RSPM levels also exceeded the NAAQS (annual average) in industrial areas of Ahmedabad, Dehradun, Thiruvannathapuram, Solapur, Jaipur, Kanpur and Kolkata.
RSPM levels were within the NAAQS (annual average) in residential areas of Kozhikode and Shillong and industrial areas of Hyderabad, Visakhapatnam, Bangalore, Mysore, Cochin, Kotayam, Kozhokode, Palakkad, Mumbai, Nagpur, Pune, Rourkela and Chennai.
RSPM Non-attainment
Air quality with respect to RSPM is expressed in terms of low, moderate, high and critical and is shown in Table 5.28. Critical levels of RSPM were observed in residential areas of Hyderabad, Delhi, Ahmedabad, Bangalore, Cochin, Dehradun, Thiruvananthapuram, Mumbai, Nagpur, Pune, Solapur, Rourkela, Jaipur, Kanpur, Lucknow and Kolkata. High levels of RSPM were observed in residential areas of Visakhapatnam. Parwanoo, Angul and Chennai. These results indicate that NAAQS (annual average) of RSPM was exceeded in above cities.
Critical levels of RSPM were observed in industrial areas of Ahmedabad, Thiruvananthapuram, Solapur, Jaipur, Kanpur and Kolkata and high levels of RSPM were observed in industrial area of Hyderabad and Dehradun. These results indicate that ambient air standards (annual average) of RSPM was exceeded in above mentioned cities. Moderate levels were observed in residential areas of Kozhikode and Shillong and industrial areas of Mysore, Cochin, Kottayam,

Mumbai, Nagpur, Pune and Rourkella. These results indicate that NAAQS (annual average) were not exceeded in above mentioned cities. Status of RSPM in residential areas and industrial areas of various cities/towns in the country is depicted in Fig. 5.23 and 5.24 respectively.

|
Annual Mean Concentration Range (µg/m3) |
|||||||||||
|
Pollution level |
Industrial (I) |
Residential (R) |
|||||||||
|
RSPM Levels |
RSPM Levels |
||||||||||
|
Low (L) |
0-60 |
0-30 |
|||||||||
|
Moderate (M) |
60-120 |
30-60 |
|||||||||
|
High (H) |
120-180 |
60-90 |
|||||||||
|
Critical (C) |
>180 |
>90 |
|||||||||
|
STATE / CITY |
RSPM |
||||||||||
|
AREA CLASS |
I |
R |
|||||||||
|
Andhra Pradesh |
|||||||||||
|
Hyderabad |
H |
C |
|||||||||
|
Vishakhapatnam |
L |
H |
|||||||||
|
Delhi |
|||||||||||
|
Delhi |
- |
C |
|||||||||
|
Gujarat |
|||||||||||
|
Ahmedabad |
C |
C |
|||||||||
|
Himachal Pradesh |
|||||||||||
|
Parwanoo |
- |
H |
|||||||||
|
Karnataka |
|||||||||||
|
Bangalore |
L |
C |
|||||||||
|
Mysore |
M |
- |
|||||||||
|
Kerala |
|||||||||||
|
Cochin |
M |
C |
|||||||||
|
Kottayam |
M |
- |
|||||||||
|
Kozhikode |
L |
M |
|||||||||
|
Thiruvananthapuram |
C |
C |
|||||||||
|
Kanjikode |
L |
- |
|||||||||
|
Maharashtra |
|||||||||||
|
Mumbai |
M |
C |
|||||||||
|
Nagpur |
M |
C |
|||||||||
|
Pune |
M |
C |
|||||||||
|
Solapur |
C |
C |
|||||||||
|
Meghalaya |
|||||||||||
|
Shillong |
- |
M |
|||||||||
|
Orissa |
|||||||||||
|
Angul |
- |
H |
|||||||||
|
Rourkela |
M |
C |
|||||||||
|
Rajasthan |
|||||||||||
|
Jaipur |
C |
C |
|||||||||
|
Tamil Nadu |
|||||||||||
|
Chennai |
M |
H* |
|||||||||
|
STATE / CITY |
RSPM |
||||||||||
|
AREA CLASS |
I |
R |
|||||||||
|
Uttar Pradesh/Uttranchal |
|||||||||||
|
Dehradun |
H |
C |
|||||||||
|
Kanpur |
C |
C |
|||||||||
|
Lucknow |
- |
C |
|||||||||
|
West Bengal |
|||||||||||
|
Kolkata |
C |
C |
|||||||||
‘-‘ - Data Not Available/Inadequate
* - Representing one monitoring station in residential area
RSPM Violations of NAAQS (24-hourly Avg.)
Percentage violation of NAAQS (24-hourly average) was determined. NAAQS (24-hourly avg.) was not violated at Industrial Estate Visakhapatnam; K.R. Circle, Mysore; Chingavanam, Kottayam, Mavoor, Palayam, Kozhikode, Kanjikode, Palakkad, Thane (West), Kopri Ward Office, Shahu Market, Thane; Boards Office, Shillong. The NAAQS (24-hourly avg.) was violated at the remaining stations.
Meteorological Issues
It is well established that meteorological factors such as atmospheric stability and wind velocity etc. play a critical role in determining ambient concentration of air pollutants. It is essential to understand the underlying meteorological factors for determining ambient air concentration of pollutants and effectiveness of any pollution control strategy. Seasonal variations in RSPM in Chennai, Mumbai and Kolkata is depicted in Fig. 5.25, 5.26 and 5.27 respectively. The concentrations are maximum in winter months and are low during monsoon months. A possible explanation for these results may be found by examining meteorological conditions.
During the winter, average mixing height is lower as compared to other seasons and atmospheric dispersion is typically at a minimum and therefore the pollutants are not widely dispersed. During winter months calm conditions are more and calm conditions result in less dispersion of pollutants resulting in building up their levels and hence higher concentrations.
The monsoons results in large amount of precipitation, high wind velocities and changes in general wind direction. The large amounts of precipitation reduce atmospheric pollution via associated wet deposition processes. Further wind velocities will allow for pollutant transport away from sources, increase mixing processes. Winds coming from the marine environment in Chennai will have less background concentrations than that of continental air masses.



Conclusions
RSPM levels are exceeding the ambient air standards (annual average and 24-hourly avg.) in many locations in the country. The results suggest that RSPM is a pollutant of concern in the country.
The high RSPM levels are mainly attributed to vehicular pollution. The vehicle population is exponentially increasing in most of cities. This is the single major factor for high RSPM.
It is observed that highest level of RSPM in residential areas was observed in Ahmedabad followed by Kanpur, Solapur, Lucknow, Delhi, Bangalore, Dehradun, Thiruvananthapuram, Kolkata, Rourkela, Nagpur, Pune, Jaipur, Cochin, Hyderabad, Mumbai, Angul, Parwanoo, Visakhapatnam and Chennai.
The concentration of RSPM not only depends on total emission load but on meteorological conditions like ventilation, inversion, humidity, wind direction and velocity, rainfall pattern and thus a city with low emission load may have high ambient air concentrations of pollutants.
Lower levels of RSPM are observed during monsoon months possibly due to wet deposition. Higher levels of RSPM are observed during winter months possibly due to lower mixing heights and more calm conditions.
The annual average concentration in residential areas varies between 253 µg/m3 in Ahmedabad and 34 µg/m3 in Shillong. In industrial areas the annual average concentration varied between 262 µg/m3 in Ahmedabad and 26 µg/m3 in Kozhikode.
The concentration of RSPM not only depends on total emission load but also on meteorological conditions like ventilation, inversion, humidity, wind direction and velocity, rainfall pattern and thus a city with low emission load may have high ambient air concentrations of pollutants.
Lower levels of RSPM are observed during monsoon months possibly due to wet deposition. Higher levels of RSPM are observed during winter months possibly due to lower mixing heights and more calm conditions.
The annual average concentration in residential areas varies between 253 µg/m3 in Ahmedabad and 34 µg/m3 in Shillong. In industrial areas the annual average concentration varied between 262 µg/m3 in Ahmedabad and 26 µg/m3 in Kozhikode.
5.3.4 Air Quality Non-attainment Cities
Table 5.29 LIST OF NON-ATTAINMENT CITIES IN INDIA
(Based on Ambient Air Quality Data 1995-2001)
|
S.No. |
Cities |
Major Sources of Pollution |
Pollutants of Concern |
|
A) Metropolitan Cities |
|||
|
1 |
AGRA |
Vehicle, Industries |
SPM |
|
2 |
AHMEDABAD |
Vehicle, Industries |
SO2 RSPM,SPM |
|
3 |
BANGALORE |
Vehicle |
RSPM,SPM |
|
4 |
BHOPAL |
Vehicle |
RSPM,SPM |
|
5 |
CHENNAI |
Vehicle, Industries |
RSPM |
|
6 |
DELHI |
Vehicle, |
NO2, RSPM,SPM |
|
7 |
DHANBAD |
Industries |
SO2 SPM |
|
8 |
FARIDABAD |
Vehicles, Industries |
SPM |
|
9 |
HYDERABAD |
Vehicles |
RSPM, SPM |
|
10 |
INDORE |
Vehicles |
RSPM,SPM |
|
11 |
JABALPUR |
Vehicles |
NO2,RSPM,SPM |
|
12 |
JAIPUR |
Vehicles |
RSPM,SPM |
|
13 |
KANPUR |
Vehicles, Industries |
RSPM,SPM |
|
14 |
KOCHI |
Vehicles, Industries |
RSPM,SPM |
|
15 |
KOLKATA |
Vehicles, Industries |
RSPM,SPM, NO2 |
|
16 |
LUCKNOW |
Vehicles, |
RSPM,SPM |
|
17 |
LUDHIANA |
Vehicles,Industries |
SPM,RSPM |
|
18 |
MADURAI |
Vehicles, |
SPM |
|
19 |
MUMBAI |
Vehicles, Industries |
RSPM.SPM |
|
20 |
NAGPUR |
Vehicles |
RSPM,SPM |
|
21 |
NASHIK |
Vehicles |
RSPM,SPM |
|
22 |
PATNA |
Vehicles, Natural Dust |
SPM |
|
23 |
PUNE |
Vehicles, |
RSPM,NO2,SPM |
|
24 |
SURAT |
Industries, Vehicles |
SO2, SPM |
|
25 |
VADODARA |
Vehicles, Industries |
SO2, SPM |
|
26 |
VARANASI |
Vehicles, Natural Dust |
RSPM.SPM |
|
27 |
VISAKHAPATNAM |
Vehicles, Industries |
NO2,RSPM,SPM |
|
B) Other Cities |
|||
|
1 |
ALWAR |
Vehicles, Natural Dust |
NO2, SPM |
|
2 |
ANGUL |
Vehicles, Industries, Natural Dust |
SPM |
|
3 |
ANKLESHWAR |
Industries |
SO2, SPM |
|
4. |
BHILAI |
Industries |
SPM |
|
5 |
CHANDIGARH |
Vehicles, Industries |
SPM |
|
6 |
CHANDRAPUR |
Industries |
SPM |
|
7 |
DAMTAL |
Natural Dust |
SPM |
|
8 |
DEHRADUN |
Vehicles, Natural Dust |
RSPM, SPM |
|
9 |
GAJRAULA |
Industries |
SPM |
|
10 |
GOBINDGARH |
Industries |
SPM |
|
11 |
HOWRAH |
Vehicles, Industries |
SO2, NO2, SPM |
|
12 |
JALANDHAR |
Vehicles, Industries |
SPM |
|
13 |
JHARIA |
Industries, Natural Dust |
SPM |
|
14 |
JODHPUR |
Natural Dust |
RSPM. SPM |
|
15 |
KORBA |
Industries |
SPM |
|
16 |
KOTA |
Vehicles Industries |
NO2, RSPM,SPM |
|
17 |
NAGDA |
Industries |
SO2, SPM |
|
18 |
PARWANOO |
Industries, Natural Dust |
SPM |
|
19 |
RAIPUR |
Vehicles |
RSPM, SPM |
|
20 |
RAJKOT |
Vehicles, Natural Dust |
SPM |
|
21 |
ROURKELA |
Industries |
SPM |
|
22 |
SATNA |
Industries |
SPM |
|
23 |
SHIMLA |
Natural Dust |
SPM |
|
24 |
SOLAPUR |
Vehicles, Natural Dust |
RSPM,SPM |
|
25 |
UDAIPUR |
Vehicles, Natural Dust |
NO2, SPM |
|
26 |
VAPI |
Industries |
SPM |
5.3.5 Ambient Air Quality Monitoring in Delhi
The Central Pollution Control Board has been conducting ambient air quality monitoring at seven locations in Delhi. The locations have been categorized based on land use, i.e. residential, industrial and traffic intersection. The comparision of ambient air quality data for the years 2000 and 2001 reveal that:



5.4 SPECIFIC STUDIES AT AIR QUALITY MONITORING STATIONS IN DELHI
5.4.1 Study of Fog in Delhi
In recent years, dense fog throughout the northern belt including Delhi during winter season has caused many problems resulting in slow vehicular movement, delay and cancellation of train and air services resulting in direct economic losses. The complexity of fog and its accurate measurement needs collaboration of concerned agencies to pool their resources to make measurement of various parameters, required for development of predictive model. With this objective, Memorandum of Understanding (MoU) was signed with National Physical Laboratory (NPL), New Delhi on March 27, 2000. The scope of the Memorandum of Understanding (MoU) covers :
Studies of fog occurrence in Delhi and in Northern India, mechanism of its formation, its prediction and development of an early warning system.
Measurement of mean mixing height and occurrence of inversion in Delhi vis-a-vis other areas.
Studies on characterisation of suspended and respirable particulate matter in Delhi and other areas in order to characterise their origin.
During January, 2001, monitoring of various parameters influencing the onset of fog was conducted by NPL using the infrastructure available. The campaign conducted in January, 2001 provided information on the meteorological and other processes as fog condenses, changes with time and eventually disappears. The second monitoring campaign was initiated by National Physical Laboratory during November, 2001 – February, 2002. During this campaign number of parameters like mixing height, temperature, relative humidity, pressure, size fraction (of SPM), SO2, NO2 were monitored. As direct correlation could not be established between fog and the level of pollutants, it was agreed to continue the study further. Keeping this into consideration, the duration of the project has been extended further for a period of two years.
5.4.2 SODAR System
Central Pollution Control Board is regularly collecting mixing height data using SODAR. In summer and monsoon season of 2001 free convection in the atmosphere was starting mostly from 07.00 a.m. or 08.00 a.m. and remained upto 06.00 p.m. or 07.00 p.m.. In post monsoon season, free convection was mostly from 09.00 a.m. to 06.00 p.m. In winter the free convection was mostly from 10.00 a.m. or 11.00 a.m. to 04.00 p.m. or 05.00 p.m. Day time mixing height measured in different seasons in the order of higher mixing height to lower mixing height were as monsoon, summer, post monsoon and winter. Night time mixing height measured in different seasons in the order of lower mixing height to higher mixing height are as post monsoon, winter, monsoon and summer. The maximum mixing height value (hourly average) measured in summer was 1604 m and minimum value was 80 m. Maximum value measured in monsoon was 1299 m and minimum was 110 m. Maximum value measured in post monsoon was 1299 m and minimum value measured was 80 m. Maximum value measured in winter was 1240 m and minimum was 80 m.
This year dense fog started occurring in mid November 2001. In December, 2001, fog occurred for more than 15 days. On December 28th & 29th, 2001 and January 01st, 2002, SODAR gave only shear echoes. Mixing heights of December 21st, 2001 (when there was no fog), December 12th, 2001 (when fog occurred and dissipated by 12.00 noon) and December 28th, 2001 when fog remained throughout the day. SPM and RSPM concentrations on December 12th, 2001 (fog in morning), December 21st, 2001 (clear day) and December 28th, 2001 (foggy day), are presented ahead. The data indicates that the SPM and RSPM concentrations increase during the fog period.
|
Date |
Duration |
SPM (µg/m3) |
RSPM (µg/m3) |
|
12.12.2001 |
06.00-06.00 Hrs. |
648 |
357 |
|
21.12.2001 |
06.00-06.00 Hrs. |
524 |
249 |
|
28.12.2001 |
06.00-06.00 Hrs. |
837 |
457 |
In December, 2001, free convection in the atmosphere was observed only after 11.00 a.m. and remained upto 04.00 p.m. or 05.00 p.m.. In January-February, 2001, it was mostly from 10.00 a.m. to 05.00 p.m. or 06.00 p.m.. In summer and monsoon season, free convection was starting mostly from 07.00 a.m. or 08.00 a.m. and remained upto 06.00 p.m. or 07.00 p.m.. In post monsoon season, free convection was mostly between 09.00 a.m. to 06.00 p.m.
5.4.3 Ambient Noise Level and Air Pollution during Deepawali
Ambient noise level monitoring was carried out at various locations in Delhi, i.e. All India Institute of Medical Sciences (AIIMS), Lajpat Nagar, New Friends Colony, East Arjun Nagar, Connaught Place, India Gate, Mayur Vihar, Patel Nagar and Kamla Nagar on the occasion of Deepawali festival. At Kamla Nagar noise monitoring was conducted from 18.00 hrs. to 24.00 hrs., while at other locations, short duration (half hourly) noise level monitoring was conducted between 18.00 hrs. and 24.00 hrs.. The average Leq noise level for short duration at 8 monitored locations ranged between 66 dB(A) and 85 dB(A). The Leq noise level at Kamla Nagar ranged between 73 dB(A) and 80 dB(A). The minimum instantaneous value, recorded at Kamla Nagar, was 47 dB(A) (between 18.30 hrs. and 19.00 hrs) and the maximum value, recorded was 101 dB(A) (between 19.30 hrs. and 20 hrs.). The ambient noise levels were above the prescribed limit at all the locations but did not indicate much variation as compared to the previous year’s data.
Ambient air quality monitoring was also carried out at ITO Intersection and Ashok Vihar using manual monitoring techniques and at East Patel Nagar (Pusa Road) using the mobile monitoring van. The Respirable Suspended Particulate Matter (RSPM) were high in the evening hours on Deepawali day. The concentration of Sulphur dioxide (SO2), Oxides of Nitrogen (NOx) and Carbon monoxide (CO) indicated a mixed trend which may be because of varying traffic density.
5.4.4 Inspection of Authorised Pollution Checking Centres in Delhi
The authorised Pollution Checking Centres in Delhi, covering almost all zones, were inspected during June, 2001 to assess the methodology of calibration of instruments. The brief report was prepared and sent to Directorate of Transport (Govt. Of Delhi).
5.4.5 Polycyclic Aromatic Hydrocarbons (PAHs) Monitoring in Delhi
Polycyclic Aromatic Hydrocarbon (PAH) is being monitored at seven Air Quality Monitoring Stations in Delhi. These seven locations are Ashok Vihar, Siri Fort, Janakpuri, Nizamuddin, Shahdara, Shahzada Bagh and ITO.
The study revealed that :

Fig. 5.32 Total PAH Concentration (ng/m3) in Ambient Air of Delhi
5.4.6 On-line Active BTX Monitoring in Delhi
On-line monitoring of Benzene, Toluene and Xylene (BTX) at ITO monitoring station has been undertaken since November 2000. In addition, monitoring of BTX in ambient air was conducted at several locations in Delhi using continuous online instrument (MLU 950 of Synspec). The data revealed that the average benzene levels were highest at ITO during winter and lowest at the campus of National Physical Laboratory during summer. Overall average benzene concentration in ambient air of Delhi was 12.5 µg/m3 while 16.5 µg/m3 & 7.0 µg/m3 respectively during winter and summer season.
5.4.7 Benzene Levels in the Ambient Air of Delhi
Environmental pollution caused by volatile organic compounds (VOC's) has become a global environmental issue. VOC is a collective name for a large group of compounds with greatly different properties and having a vapour pressure greater than 10-1 mm Hg at 25 0 C and 760 mm Hg. It can be classified into six categories namely alkanes, alkenes, alkyenes, aromatics, halogen compounds and carboxyl compounds. Benzene comes under aromatic category of volatile organic compounds. Benzene is a harmful pollutant causing exposure-related health affects in human beings. Benzene is mainly released from anthropogenic activities such as transportation (from vehicle exhaust, filling and evaporative losses), industrial processes, combustion etc. Central Pollution Control Board is monitoring benzene at Delhi using diffusive samplers (passive sampling method) at seven locations (Ashok Vihar, I.T.O, J.N.U., Moti Nagar, East Arjun Nagar, SiriFort, Town Hall) in collaboration with Indo – German project. Minimum, maximum and mean concentration of benzene at different locations of Delhi (December 2001 to March 2002) is depicted in Fig. 5.33. The mean concentration of benzene ranged between 17 µg/ m3 (J.N.U) to 35 µg/ m3 (Moti Nagar). The maximum concentration of 71 µg/ m3 and the minimum concentration of 5 µg/m3 were observed at Moti Nagar and J.N.U. respectively.

5.4.8 Trace Metals in Ambient Air of Delhi
Five trace elements viz. lead, cadmium, chromium, nickel and copper are being measured in the ambient air of Delhi. Comparison of their levels between 2000 and 2001 show that variation in concentration is not very significant. Out of the five trace elements measured, copper showed the highest concentration ranging between 447-537 ng/m3. Other elements such as Cromium (Cr) and Cadmium (Cd) were present in traces, while Lead (Pb) after introduction of unleaded petrol has shown a progressive decline over the years (Fig 5.34).

5.4 MUNICIPAL SOLID WASTE (MSW) MANAGEMENT IN DELHI
Pursuant to an order of the Hon'ble High Court of Delhi, dated 28.04.1999, the Central Board is carrying out inspection and monitoring of MSW management by the civic authorities of NCT-Delhi once every four months. During the year 2001, three rounds of inspection were carried out and reports submitted to the Hon'ble Court. Salient recommendations made in these reports are:
The institutional and logistical constraints which hinder the civic authorities in proper MSW management have to be identified. Viability of maintenance and management of MSW collection, transfer and transfer system by private sector involvement may be tested through a management contract of one or two Zones/Circles in MCD/NDMC areas.