ENVIRONMENTAL
RESEARCH
Air
Pollution Source Apportionment Studies Air
quality data generated over the years under the National Air Monitoring Programme
(NAMP) reveal that particulate matter concentrations are exceeding the standard
permissible limits at many places, particularly in urban areas. Based on these
data, Central Pollution Control Board (CPCB) identified more than 50 non-attainment
cities and towns including 16 major cities, which recorded significantly higher
levels of SPM & RSPM (PM10). These cities have problem due to multiplicity
and complexity of air polluting sources (e.g. industries, automobiles, generator
sets, fuel burning, construction activities, etc) and even the background contribution
of natural dust (crustal origin) cannot be ruled out particularly in the cities
developed on alluvial plains having loose top soil. The recent "Auto Fuel
Policy" document submitted to Govt. of India by Dr. Mashelkar Committee has
identified the "knowledge gap" in the area of air pollution source apportionment.
With
this background, air pollution source apportionment studies have been initiated
in six major cities with participation of oil companies, leading research institutes,
Central & State Pollution Control Boards and Ministry of Environment &
Forests Government of India. The study objectives are:
- To
profile baseline Ground Level Concentration (GLC) of air pollutants in
different parts including source specific "hot spots" viz. Kerbsides,
industrial zones, etc.
- To
develop "Emission Factors" (EF) for different categories of pertinent
sources with due consideration to local variance in fuel quality, technology,
size and vintage of sources, control systems, etc. The factor shall cover both
fugitive as well as tail pipe emissions.
- To
inventorise the pollution loads from various sources for their spatial and temporal
distribution in the cities covered under this project.
- To
profile the source emission characteristics of different possible sources.
- To
conduct source apportionment studies and prioritize the source categories for
evolving mitigation strategies.
- To
assess the impact of sources on ambient air quality under different management/interventions/control
options and draw a roadmap of short term and long term measures as considered
appropriate and cost effective to ensure "Cleaner air in urban areas".
Focus
on PM 10 Among
all the criteria air pollutants, particulate matters (SPM and RSPM) have emerged
as the most serious threat in almost all urban areas of India. High SPM concentrations
are primarily irritants but do not have much relevance for direct health consequences
if compared with its respirable fractions (PM10 and PM2.5).
Due to this reason, the worldwide focus of monitoring is now increasingly being
shifted to measurement of finer particles (PM 2.5 and even PM1),
which can penetrate the human respiratory systems. Therefore, since 2000
the focus on suspended particulate monitoring has shifted to PM10 in
India as well. As
we have some experience in PM10 monitoring and our existing national
standards for PM10, the main focus of this study is on characterisation
and apportionment of PM10 with limited exercises on PM2.5
to have a better understanding and correlation between these two fractions at
source and receptor. There
are a large number of urban man-made / background sources of such a high particulate
pollution including large, medium and small-scale industries, household fuel use
for cooking and heating, refuse burning, vehicular emissions, re-suspended road
dust, construction activities, agricultural activity, naturally occurring dust
and trans-boundary migration from other regions, etc. The configuration of possible
contributing sources in different cities does vary widely as different responsible
sources emit particles of varying composition and sizes. However, small particles
(10 microns and fine) affect public health much more than large particles. A
typical particle size - mass fraction diagram for particulate matter in urban
air 
On
having completed the intended data collection, validation, interpretation of assimilated
information, a detailed road map will be drawn considering all possible measures
for air quality improvement. These measures will be classified into short and
long term with due priority to low cost measures that gives maximum benefits.
- The
cost- benefit analysis based on health impact would be beyond the scope of the
present study. Therefore, it was agreed to consider ambient air quality standards
(which are health based) as the upper thresholds.
- For
comprehensive Health Impact Assessment and Benefits, a separate study if required
can be initiated.
- For
ranking of the various mitigation/intervention options on the different sources
namely industrial, vehicular, fugitive, etc. the cost effective analysis shall
be adequate.
Standardization
of BTX Method (IS-5182 Part-11) and PAH Method (IS-5182 Part-12) for BIS Publication
as National Methods Active
and passive methods for BTX monitoring and analysis using conventional carbon-disulphide
desorption and automated thermal desorption techniques followed by capillary Gas
Chromatography – Flame Ionization Detector have been standardize, documented and
sent to BIS for wide circulation among concerned institution and finalized by
CHD-32 Committee for final printing. The sampling and analysis method for Particulate
PAH using glass fiber filter and high volume samplers followed by capillary Gas
Chromatography – Flame Ionization Detector have been standardize, documented and
finally printed by BIS after wide circulation among concerned institution and
approval by CHD-32 Committee. Ground
Water Remediation in Kanpur CPCB
Lucknow has taken up a challenging 3-year project on Groundwater remediation in
Noraiakheda area of Kanpur in collaboration with ITRC Lucknow, NGRI, Hyderabad
and IIT Kanpur.The 1st year activities were completed with execution
of all the identified works. Salient status of some of the specific activities
is as following: a.
Geo-physical Investigation The
entire study area was investigated for revealing subsurface hydro-geological characteristics.
The study was carried-out using ground-resitivity meter based on schlumbergur
arrangement of current and potential electrodes. The Resistivity variation as
emerged-out of the study area and subsurface stratification are as below: 



Spatial
view of T-Cr plume 30 years 1975-2005 
The
findings of project during 1st year are to be utilized in evaluation
of various options for remediation of hexavalent chromium. The Pilot Study based
on "Bio-Remediation" had already begun under technical support from
GZA-USA expertise. During the pilot study the Electron Donor Compound (EDC) was
injected into the polluted strata for chemical transformation of hexavalent chromium.
The study shall continue till June 2006. Other major activities completed in the
1st year include: - Evaluation
of a range of site-specific aquifer characteristics
- Inventory
of Groundwater balance
- Monitoring
for surface contours with reference to the MSL
- Monitoring
of Fresh water canal,
- Identification
of watershed boundaries
The
project activities have received appreciation of Asian Development Bank–Philippines
and The Blacksmith Institute New York USA. Co-incineration
of High Calorific Value Hazardous Waste in Cement Kiln The
Environmental Policy for co-incineration of high calorific value hazardous waste
in cement kilns was prepared by CPCB and discussed in Chairmen and Member Secretaries
conference held on Feb 14-15, 2005. So far this has been a thrust area in India,
while internationally high calorific value hazardous waste is being co-incinerated
in Cement Kiln. At a high temperature of 1400°C the organic compounds are likely
to be destroyed and non-combustible part of the residue is incorporated into the
clinker in a practically irreversible manner. It also helps in energy saving.
Cement
industries have expressed their interest in the matter and have come forward for
co-incineration of high calorific value hazardous waste in cement kiln. Various
proposals for co-incineration were considered which include used tyres, refinery
sludge, paint sludge, ETP sludge generated from BASF India Ltd and monitoring
protocol was developed. The first trial for co-incineration of ETP sludge of BASF
India Ltd. was conducted at a cement plant at Gulbarga, Karnataka. Monitoring
was conducted before trial run and after trial run to generate the background
/ reference data. The VOC, hydrocarbon, TOC, PAH, heavy metals were monitored
besides the routine parameter i.e. particulate matter, SO2, NOx, HCl,
HF, CO. The dioxins and furans that are considered most important and critical
parameters were also monitored. Most of the critical parameters were well within
the prescribed standards for hazardous waste incinerator. The product i.e. clinker
was also tested for leachability and heavy metals content as per BIS norms. The
second trial was undertaken at another cement plant at Kodinar, Gujarat for co-incineration
of TDI tar waste which is the hazardous waste generated from Petrochemicals unit.
The trial runs are being conducted under close supervision of a team comprising
officials from CPCB, SPCB, GTZ, and NCB. The co-incineration of high calorific
value hazardous waste could emerge as a cost-effective and environmentally compatible
option. Detoxification
of Paper Mill Effluent by Using Coagulant and Chemical Oxidants The
toxicity of the paper and pulp mill effluent is due to the presence of tannins,
resins, synthetic dyes and lignin and its derivatives. White-rot fungi generally
used to decolorise the pulp mill effluent require high glucose concentration to
survive which is economically not feasible. An alternate to biological treatment
with fungi is the electro-chemical methods where iron electrodes are used to separate
the ligno-sulphonate waste. The effectiveness of this technique depends on the
type of electrodes, construction of electro-coagulators and operating conditions.
Thus, there is a need for alternative low – cost technology. The
present study is aimed at the removal of toxic & coloring substances present
in paper mill effluent before going to biological treatment using selective chemical
coagulants/oxidants. Experimental work completed is as below
1. Samples
prepared from synthetic lignin and tannins were analysed and characterized. 2. Coagulants
like alum, FeCl3, PAC, alongwith combinations like Alum + Lime, Alum
+ Lime + PAC, FeCl3 + PAC tested for optimum doses and observed 20-25
% removal of color and 18-23 % COD reduction. 3. 90-93
% color removal has been achieved when optimum dose of Na-Hyphochlorite is given
to the synthetic sample and 35-40 % reduction in COD is also observed after the
treatment. 4. Effect
of pH on Na-Hyphochlorite tested and observed best reduction in color at pH 7.0-8.2. 5. Dose
optimisation of Na-metabisulphite for the removal of residual chlorine followed
by batch activated sludge process is under progress. 
Characterisation
of Emission and Dust from Different Sources Re-suspension
of dust in industrial area and fugitive and stack emission are mainly responsible
for high level of contaminants in the ambient air of the local environment. This
dust may contain toxic chemical substances. A study is being carried out to characterize
the emission from source and dust forms different sources (road dust, soil, mining
waste etc.). The average metal concentrations of dust/ ash from different sources
are shown below. Average
concentration (mg/Kg) of metals in dust/ash collected from different sources
| Metals |
Sources
of Dust /Ash | |
ESP |
Road
Side |
Thermal
Power |
Coke
Oven |
Brick
Kiln |
Rice
Mill |
Township |
Agri.
Field |
Chromium |
33 |
17 |
9 |
1.7 |
19 |
6 |
24 |
20 |
| Iron |
113456 |
8698 |
9366 |
9402 |
9000 |
11292 |
13388 |
15149 |
| Lead |
86 |
10 |
2.1 |
BDL |
8.5 |
BDL |
13 |
9.0 |
| Nickel |
16 |
19 |
8.0 |
2.9 |
10.0 |
5.5 |
10 |
15 |
| Copper |
29 |
7 |
9.8 |
7.8 |
20.3 |
9.3 |
6 |
24.9 |
| Barium |
1035 |
185 |
359 |
89 |
794 |
440 |
45 |
- |
| Vanadium |
82 |
2.4 |
10.5 |
2.4 |
43 |
10.0 |
32 |
- |
| Aluminum |
19957 |
5124 |
3487 |
BDL |
14419 |
5123 |
6233 |
- |
| Beryllium |
1.4 |
BDL |
BDL |
BDL |
1.0 |
BDL |
BDL |
- |
| Cobalt |
16 |
6 |
2.5 |
1.4 |
4.0 |
2.0 |
2.0 |
12.0 |
| Magnesium |
2014 |
540 |
488 |
384 |
418 |
3502 |
289 |
- |
| Calcium |
11902 |
441 |
2242 |
1573 |
5141 |
7631 |
1742 |
- |
| Manganese |
922 |
294 |
110 |
384 |
139 |
905 |
376 |
478 |
| Potassium |
1738 |
596 |
568 |
672 |
1114 |
8447 |
130 |
- |
| Zinc |
105 |
21 |
72 |
43 |
9 |
178 |
30 |
63 |
BDL = Below Detection
Limit
Results
revealed that level of Zinc, Magnesium and Potassium (178, 3502 and 8447 mg/kg
respectively) was significantly higher in ash collected from rice mill. Nickel
was found to be higher in roadside dust of Ranigunj (Durgapur), but the rest of
the metals were higher in dust of ESP in comparison with agricultural soils of
a remote Dhubulia Village (Durgapur). Metallic concentrations were also found
on the higher side in ambient air with respect to rural areas (Canning). Analysis
of PAH, PCBs, texture etc. are in progress. Further characterization of inorganic
and organic composition would be carried to correlate these values with the values
of source emission. The raw data indicates that the some of the metals are extremely
variable. Further analysis of more parameters would reveal the distribution pattern
of different contaminants of the dust and in other sources pollutants and their
impact on ambient air quality. Aerosols
Characterisation for PAHs and Metals in Kolkata during Dipawali The
study of aerosol composition with respect to metals, ions and PAHs during Diwali
covering city, urban and rural areas would be very useful to assess the impact
of the above activities on environment with reference to specific pollutants.
Considering the above facts, Zonal Office Kolkata has conducted a study to quantify
the concentration of RSPM, SO2, NO2, metals and PAH in ambient
air in Kolkata (metro city), Asansol (urban) and Moutorh (village) in West Bengal
and to assess the impact of bursting crackers on the environment. The
analytical results shown in Table below revealed that the prevailing concentration
of different PAH compounds at different stations in Kolkata, Canning and Moutorh
during Diwali . The maximum concentration was observed at Moutorh, followed by
Kolkata and then Canning (Moutorh>Kolkata>Canning) except in case of low
molecular weight PAH compounds, viz. Napthalene, Phenanthrene and Anthracene.
The changes of the above trend of these compounds may be due to loss during sampling
and transportation of sample filter papers from monitoring sites to laboratory
as these are highly volatile. At Moutorh though considered as rural area, PAH
concentration was significantly higher than that of other areas because monitoring
station was located in the midpoint of Diwali mela where different activities
such as mass gathering, coal burning, vehicle movement etc. were going on. Mainly
coal burning caused the enhancement of PAH concentration. Average
concentration of PAH compounds (ng/ m3) at different locations
|
PAH
Compounds | CANNING |
KOLKATA |
MOUTORH |
BEHALA |
KUMIR
PUKUR | J
D PARK | | Napthalene |
3.53 |
1.86 |
0.91 |
3.11 |
1.71 |
0.76 |
| Phenanthrene |
0.28 |
0.45 |
BDL |
0.55 |
0.36 |
0.43 |
| Fluorene |
0.93 |
1.05 |
2.83 |
1.30 |
0.77 |
1.09 |
| Pyrene |
1.65 |
2.84 |
5.19 |
3.85 |
2.04 |
2.62 |
| Benz(a)Anthracene |
5.88 |
13.29 |
20.81 |
25.87 |
-- |
8.36 |
| Chrycene |
1.08 |
4.43 |
27.57 |
7.07 |
-- |
3.11 |
| Benz
(e) Pyrene | 2.10 |
4.39 |
37.25 |
6.52 |
2.02 |
4.65 |
| Benz
(a) Pyrene | 8.31 |
10.84 |
19.31 |
16.74 |
5.40 |
10.39 |
| Di
Benz Anthracene | 0.76 |
1.61 |
1.73 |
3.61 |
0.13 |
1.10 |
| Benz
(ghi) Perylene | 2.73 |
4.23 |
19.54 |
6.07 |
2.03 |
4.60 |
At
different stations within Kolkata, maximum concentration was found at Behala followed
by JD Park, then Kumir Pukur. Only in the case of Napthalene the trend becomes
as Behala>Kumir Pukur >JD Park. The reason may be that in Behala the station
is located at the busiest traffic intersection compared to the other stations.
The
data were processed to estimate the correlation coefficients among the eleven
identified and quantified PAH compounds and RSPM at sampling locations. However,
several significant correlationships in the group of individual PAH compounds
were observed attributing linear proportionality between them such as significant
positive correlationship among fluoranthene, pyrene and chrysene particularly
in organised fairs also at few other stations. As reported by different authors,
domestic and residential heating specially coal burning is a major source of these
three compounds and simultaneously significant correlation ships among them support
this view. It is also reported by some authors that these three compounds are
also emitted during incineration and industrial oil burning. Literature study
shows that fluoranthene and pyrene along with benzo(a)pyrene are together emitted
from traffic motor vehicles i.e. from diesel and petrol burning. Positive correlationship
among them satisfies the views of referred document. Significant correlationship
between fluoranthene and benzo(a)pyrene as well as benzo(e)pyrene support the
view that the major contributor of these three PAH compounds is burning of wood.
There are also some significant correlation found between fluoranthene and benzo(ghi)perylene,
pyrene &benzo(a)pyrene, pyrene &benzo(e)pyrene, di benzo(ah)anthracene
and pyrene & benzo (ghi) perylene. Significant correlation among several PAH
compounds indicates that they release from sources together. In Kolkata fluoranthene
is significantly correlated with phenanthrene, pyrene, B[e]P, B[a]P while pyrene
is correlated with Benz Anth, B[e]P, B[a]P, DBA, B[ghi]Pe. A strong correlation
ship was found among B[e]P, B[a]P, DBA and B[ghi]Pe also. This positive correlation
ship indicates that they are emitted from same source. Literature survey reveals
that all these correlated compounds are emitted together from diesel burning,
petrol burning, incineration and coal burning. The above findings may support
that major portion of PAHs concentration in ambient air of Kolkata is contributed
by diesel & petrol burning (vehicle emission) and incineration etc. The
analytical results of metallic concentration of RSPM at different areas revealed
that concentration of metals in general, was found lowest at Canning and in the
order of Canning < Asansol <Moutorh <Kolkata. Canning is far away from
any industrial towns and also traffic volume nearby the sampling points was significantly
low. Almost same concentrations of metals prevailed both at Asansol and Moutorh
though Asansol is a subdivisional town and Moutorh is a rural area. Presence of
iron and aluminium at both places indicate the impact of sponge iron and steel
plants (TISCO close to sampling station in Asansol). Sponge irons and thermal
power plants are located about 15 km away from Moutorh. On normalisation of metal
concentrations with RSPM, almost same trend prevails. The concentrations of metals
observed at different stations within Kolkata were more or less uniform all over
the city. Eventhough concentration of the 12 selected metals were relatively on
the lower side, no appreciable impact of the activities going on during Diwali
was observed except slight increment of aluminium compared to the values obtained
during winter. Average
Concentration of metals (µg/m3) in RSPM at different locations
|
Name
of Parameters |
Sampling
Locations | |
CANNING |
KOLKATA |
ASANSOL |
MOUTORH |
| RSPM,
µg/m3 | 86 |
278 |
156 |
202 |
| |
µg/m3 |
ng/µg |
µg/m3 |
ng/µg |
µg/m3 |
ng/µg |
µg/m3 |
ng/µg |
| Nickel |
0.01 |
0.012 |
0.12 |
0.043 |
0.13 |
0.083 |
0.01 |
0.005 |
| Manganese |
0.01 |
0.012 |
0.11 |
0.040 |
0.11 |
0.071 |
0.39 |
0.193 |
| Lead |
0.04 |
0.047 |
0.66 |
0.237 |
0.07 |
0.045 |
0.10 |
0.050 |
| Zinc |
0.15 |
0.174 |
1.35 |
0.486 |
0.25 |
0.160 |
0.21 |
0.104 |
| Cadmium |
BDL |
! |
0.02 |
0.007 |
BDL | |
BDL | |
| Copper |
0.02 |
0.023 |
0.23 |
0.083 |
0.09 |
0.058 |
0.08 |
0.040 |
| Chromium |
BDL | |
0.01 |
0.004 |
BDL | |
BDL | |
| Aluminum |
1.19 |
1.384 |
14.76 |
5.309 |
2.06 |
1.321 |
3.08 |
1.525 |
| Iron |
0.11 |
0.128 |
2.27 |
0.817 |
2.38 |
1.526 |
5.16 |
2.554 |
| Barium |
1.60 |
1.860 |
13.43 |
4.831 |
2.33 |
1.494 |
0.48 |
0.238 |
| Mercury |
0.02 |
0.023 |
0.04 |
0.014 |
BDL |
0.006 |
BDL |
0.010 |
| Arsenic |
BDL | |
0.03 |
0.011 |
BDL |
0.006 |
BDL |
0.010 |
Ionic
concentrations of RSPM at four different areas shown in Table below revealed the
distribution pattern of ions (m g/m3) among the four areas. Average
ionic concentration (µg/ m3) in (PM10) at different locations
in Kolkata
| Name
of Parameters |
Sampling
Locations | |
CANNING |
KOLKATA |
ASANSOL |
MOUTORH |
| RSPM |
116 |
376 |
139 |
252 |
| |
µg/m3 |
ng/µg |
µg/m3 |
ng/µg |
µg/m3 |
ng/µg |
µg/m3 |
ng/µg |
| Fluoride |
0.37 |
3 |
0.44 |
1 |
0.10 |
1 |
0.75 |
3 |
| Chloride |
3.08 |
27 |
6.90 |
18 |
2.54 |
18 |
3.66 |
15 |
| Nitrate |
5.01 |
43 |
7.87 |
21 |
4.70 |
34 |
7.45 |
30 |
| Sulphate |
13.58 |
117 |
64.07 |
170 |
19.67 |
142 |
40.49 |
161 |
| Sodium |
9.73 |
84 |
9.39 |
25 |
12.09 |
87 |
14.92 |
59 |
| Potassium |
4.17 |
36 |
36.35 |
97 |
2.96 |
21 |
2.68 |
11 |
| Calcium |
1.08 |
9 |
1.69 |
4 |
3.79 |
27 |
2.76 |
11 |
| Magnesium |
0.07 |
1 |
1.61 |
4 |
0.65 |
5 |
0.58 |
2 |
| Total
Ion | 37.1 | |
128.3 | |
46.5 | |
73.3 | |
| %
Ion in RSPM | 32.0 | |
34.1 | |
33.5 | |
29.1 | |
Table
(contd.): Average ionic concentration (µg/ m3) in (PM10)
at different stations in Kolkata
| Name
of Parameters |
Sampling
Stations | |
BEHLA |
KUMIR
PUKUR |
J D PARK |
| RSPM |
398 | |
285 | |
452 | |
| |
µg/m3 |
ng/µg |
µg/m3 |
ng/µg |
(µg/m3 |
ng/µg |
| Fluoride |
0.52 |
1.3 |
0.41 |
1.4 |
0.42 |
0.9 |
| Chloride |
7.79 |
19.6 |
5.44 |
19.1 |
8.00 |
17.7 |
| Nitrate |
8.43 |
21.2 |
6.68 |
23.4 |
8.64 |
19.1 |
| Sulphate |
67.19 |
168.8 |
59.23 |
207.8 |
67.00 |
148.2 |
| Sodium |
8.18 |
20.6 |
10.83 |
38.0 |
8.18 |
18.1 |
| Potassium |
36.75 |
92.3 |
36.37 |
127.6 |
34.80 |
77.0 |
| Calcium |
2.12 |
5.3 |
1.86 |
6.5 |
1.50 |
3.3 |
| Magnesium |
1.60 |
4.0 |
1.54 |
5.4 |
1.68 |
3.7 |
| Total
Ion | 132.6 | |
122.4 | |
130.2 | |
| %
Ion in RSPM | 33.3 | |
42.9 | |
28.8 | |
Close
association of chloride and sodium with RSPM was observed on normalisation revealed
the influence of sea on chloride and sodium concentration at Canning. Similarly,
higher values of nitrate at Canning due to intensive agricultural activities.
The concentration of sodium and chloride were also higher at Asansol. Significantly
higher values of sulphate and potassium in aerosol of Kolkata clearly indicated
the rampent use of fire crackers were as higher values of only sulphate at Moutorh
and Asansol are mainly due to rampent use of coal for cooking the food in fair
(mela). In Kolkata, highest concentration of sulphate and potassium were found
during 6 PM to 6 AM on Diwali, which again confirm the impact of firecrackers
on ambient air quality. Percentage of ions with respect to RSPM was varying from
29.1 to 34.1. The ionic concentration of RSPM at different stations during Diwali
revealed the distribution pattern at different stations expressed in m g/m3.
On normalisation with respect to RSPM, almost uniform distribution of ion prevailed
except sulphate and potassium. This variation is mainly due to firecrackers mainly.
The concentration coefficient estimated between the ions and RSPM revealed close
association of ions with RSPM. Percentage of ions was almost same in two station
compared to other areas, where at one station it is on the higher side. From
the above discussion it may be inferred that activities particularly during Diwali
influence the concentration of PAH and ions on ambient air quality.
PAH
Analysis in Fugitive Emissions at Hindalco, Renukoot PAH
Monitoring has been done at HINDALCO, Renukoot at six locations i.e. Center
Passage Pot Line-IX, Center Passage Pot Line-II, Roof Top Pot Line-III, Roof Top
D.S.S. Pot Line- VII, Anode Baking F/C # 5, Anode Baking F/C # 3. Total PAH ranged
between 21.19 to 552.04 ng/m3. Benzo[e]pyrene and Benzo[a]pyrene, Benzo[ghi]perylene
are found with a high concentration followed by Chrysene and Benzo[b]fluoranthene.
Naphthalene to Pyrene have lower concentration at Center Passage and Roof Top
while at Anode Baking it is higher (12.01-29.97 ng/m3). The average
concentration range at different unit is given below.
PAHs
analysis in fugitive emission at Hindalco, Renukoot (Sep20-21, 2005)
| Sampling
Location |
Center
Passage, Pot
Room |
Roof
Top, Pot
Room |
Anode
Baking | |
PAH Analytes/Conc |
Range
(ng/m3) |
Range
(ng/m3) |
Range
(ng/m3) | |
Naphthalene |
0.02-0.05 |
0.02-0.03 |
0.04-0.05 |
| Acenaphthylene |
0.04-0.06 |
0.05-0.05 |
0.07-0.11 |
| Acenaphthene |
0.03-0.05 |
0.04 |
0.05-0.12 |
| Fluorene |
0.03-0.07 |
0.02-0.04 |
0.06-0.31 |
| Phenanthrene |
0.37-1.22 |
0.40-0.98 |
3.55-12.92 |
| Anthracene |
0.29-0.54 |
0.29-0.44 |
0.86-2.59 |
| Fluoranthene |
1.63-3.81 |
1.58-5.00 |
14.58-34.87 |
| Pyrene |
1.41-2.94 |
1.24-3.38 |
12.01-29.97 |
| Benz[a]anthracene |
1.72-14.27 |
1.91-2.61 |
22.71-29.62 |
| Chrysene |
2.58-18.99 |
2.23-5.01 |
37.64-36.38 |
| Benzo[b]fluoranthene |
4.26-109.56 |
2.56-3.72 |
44.30-72.32 |
| Benzo[k]fluoranthene |
1.47-35.83 |
0.88-1.36 |
12.78-28.23 |
| Benzo[e]pyrene |
3.69-138.10 |
1.82-3.00 |
40.34-76.76 |
| Benzo[a]pyrene |
1.24-57.01 |
0.76-1.30 |
14.83-49.78 |
| Perylene |
0.45-22.47 |
0.24-0.48 |
4.85-18.42 |
| Indeno[1,2,3-cd]pyrene |
1.33-52.14 |
0.77-1.54 |
12.84-50.01 |
| Dibenz[a,h]anthracene |
0.46-25.07 |
0.22-0.34 |
4.01-12.59 |
| Benzo[ghi]perylene |
1.94-69.86 |
0.90-1.67 |
12.40-46.24 |
| Total
PAHs |
22.96-552.04 |
21.19-25.74 |
237.94-501.29 |
Testing
and Validation of BOD Biosensor Biochemical
Oxygen Demand (BOD) is the most important and commonly used parameter in water
and wastewater quality monitoring and designing of effluent treatment plant. The
test take considerable time, say 3 days at 27o C or 5 days at 20o
C as well as consumes lot of energy. To overcome these constraints, attempts were
made to carry out the test in short time through the technique using Biosensor
probes. This technique involves selection of suitable microbial composition for
using Biosensor so as to degrade the wide range of wastes. In this endeavor, CPCB
in collaboration with Institute of Genomics & Integrative Biology (IGIB),
CSIR, Delhi has developed a Biosensor for rapid BOD test. Samples from brewery
and dairy (untreated and treated) were tested extensively and the results obtained
using BOD Biosensor are similar to conventional BOD test (BOD5 at 20oC).
The data are statistically tested and good correlation was found between these
two results. Range,
Mean and ratio of BOD Biosensor and BOD5 for different effluents
Effluent |
BOD
Biosensor |
BOD5 |
Ratio
(Biosensor/BOD5) | |
Dairy
– Untreated effluent |
Min |
626 |
665 |
0.8 |
| Max |
3605 |
3670 |
1.3 |
| Mean |
1414 |
1406 |
0.99 |
| Dairy
– Treated effluent |
Min |
9 |
8 |
1.1 |
| Max |
49 |
53 |
1.3 |
| Mean |
33.1 |
30.3 |
1.1 |
Brewery–
Untreated effluent |
Min |
316 |
300 |
0.9 |
| Max |
1880 |
1820 |
1.2 |
| Mean |
781.3 |
760.4 |
1.0 |
Correlation
& Regression equation between the data of BOD5 & BOD Biosensor



Further,
it was analyzed by Students `t’ test and found that there is no significant difference
between two data sets of dairy and breweries samples. The work is in progress
for extensive testing using large variety of wastewater samples. Statistical
correlation regression (BOD Biosensor vs. BOD5) and "Student’s
t" test significance of three wastewater samples.
| Effluent |
Correlation
coefficient (r) |
Correlation
Determination (R2) |
Regression
equation |
`t’
test p
value | "t"
test inference | | Dairy
untreated effluent | 0.975 |
0.950 |
y
= 1.0015x -10.343 | p
= 0.97 | No
significant difference | |
Dairy
treated effluent | 0.955 |
0.912 |
y=
0.9988x – 2.7134 | p
= 0.54 | No
significant difference | |
Brewery
untreated effluent | 0.995 |
0.856 |
y
= 0.981x -6.053 | P
= 0.89 | No
significant difference |
Metal
Solubility in Municipal Solid Waste Amended Soils The
mobility of inorganic and organic pollutants in soil is strongly influenced by
organic matter, such as humic acid, fulvic acid etc. Fulvic acid readily complexes
with metals including minerals making them available to plant roots and easily
absorbable through cell wall. In east Kolkata wetlands different types of pollutants
particularly metals may be accumulated in soil through dumping of solid waste
since long. The fulvic acid in the presence of metals may form metal chelate,
which in turn increase the metal ions in solution in far excess of their expected
dissolution ability in normal waters. Considering the above fact study was undertaken
to assess the bio available fraction of metals in soil. Preliminary results indicated
wide variation of metal concentrations at different locations as well as among
the soil horizon. Cation exchange capacity of the soil was found far in excess
of natural soil. Based on the available data it may be established that fulvic
acid enhances the availability of metals and make them more readily available
for absorption by plants and chemical reactions. |