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Central Pollution Control BoardMinistry of Environment and Forests
Website: www.cpcb.nic.in • e-mail: cpcb@nic.in
DECEMBER 2009
Comprehensive
environmental assessment of industrial Clusters
Ecological Impact AssessmentSeries: EIAS/5/2009-10
Comprehensive Environmental Assessment
of Industrial Clusters
Central Pollution Control BoardMinistry of Environment and Forests
Website: www.cpcb.nic.in • e-mail: cpcb@nic.in
DECEMBER 2009
Ecological Impact AssessmentSeries: EIAS/5/2009–2010
© Central Pollution Control Board, 2009
All rights reserved. No part of this publication may be reproduced in any form or by any means without prior permission from Central Pollution Control Board
Published byJ S Kamyotra, Member Secretary, Central Pollution Control Board, Delhi – 110 032 at ENVIS Centre - 01
Printed in India by TERI Press, The Energy and Resources Institute, New Delhi
3
CONTENTS
Forward ........................................................................................................................................... 5
Chapter 1: Application of Comprehensive Environmental Pollution Index (CEPI) .................... 6
Chapter 2: Summary and conclusions ........................................................................................... 28
List of Figure
Figure 1 Framework of the Comprehensive Environmental Pollution Index............................. 7
List of Tables
Table 1 Penalty values for combination of most critical pollutants Factor A1 ............................ 8
Table 2 Penalty values for combination of most critical pollutants Factor B1 ............................ 9
Table 3 Penalty values for combination of most critical pollutants Factor C2 ............................ 10
Table 4 Score for additional high-risk element: Factor D ............................................................ 10
Table 5 CEPIs of various Industrial areas/ clusters for Air Environment .................................... 12
Table 6 CEPIs of various Industrial areas/ clusters for Surface Water ........................................ 16
Table 7 CEPIs of various Industrial areas/ clusters for Land (Soil & Groundwater) .................. 20
Table 8 CEPI scores for in descending order. ............................................................................... 24
Central Pollution Control Board(A Govt. of India Organisation)
Ministry of Environment & ForestsPhone: 22304948 / 22307233
‘Parivesh Bhawan’ C.B.D. cum Offi ce Complex, East Arjun Nagar, Delhi - 110 032
Foreword
A Comprehensive Environmental Pollution Index (CEPI), which is a rational number to characterize the environmental quality at a given location following the algorithm of source, pathway and receptor have been developed. The index captures the various health dimensions of environment including air, water and land.
The present CEPI is intended to act as an early warning tool, which is handy to use. It can help in categorizing the industrial clusters/areas in terms of priority of planning needs for interventions. The process of evolution of method and mechanisms that yielded results are dynamic in nature. Improvements and alterations for enhancing more effi ciency will be a continuous task.
Application of CEPI in 88 selected industrial clusters/areas has been an exercise involving Central Pollution Control Board (CPCB), Concerned State Pollution Control Boards/ Pollution Control Committees, and IIT Delhi.
The effective implementation of the remedial action plan will help in pollution abatement and to restore the environmental quality of respective industrial clusters. The polluted industrial clusters/areas shall be further explored in order to defi ne the spatial boundaries as well as the extent of eco-geological damages. The outcome shall be subjected to structured consultation with the stakeholders for determining comparative effectiveness of alternative plans and policies. The preparation of effective remedial action plan will yield desired results in terms of sustainable use of the carrying capacity of the respective industrial cluster/ area.
All this could become possible by a group of workers who deserve all appreciation. However, special thanks are due to Shri J S Kamyotra, Member Secretary, CPCB for overall coordination and supervision of the project.
The extensive exercise of data collection and processing been made possible by Shri A K Vidyarthi, Environmental Engineer, CPCB, Dr Arvind K Nema, Professor Mukesh Khare, Dr B J Alappat, Dr Radha Goel, Ms Mayuri Chabukdhara, Ms Anjali Gupta, Ms Sapana Seti, Mr Sanjay Gupta, and Mr Rajendra Kaushal of IIT Delhi who are thankfully acknowledged.
Hopefully this report would be useful to the all concerned for improving environmental quality.
Prof. S P GautamChairman, CPCB
6
The results of the application of the Comprehensive Environmental Pollution Index (CEPI) to selected industrial clusters or areas are presented in this report. The main objective of the study is to identify polluted industrial clusters or areas in order to take concerted action and to centrally monitor them at the national level to improve the current status of their environmental components such as air and water quality
data, ecological damage, and visual environmental conditions. A total of 88 industrial areas or clusters have been selected by the Central Pollution Control Board (CPCB) in consultation with the Ministry of Environment & Forests Government of India for the study. The areas in alphabetical order are listed below1.
Chapter 1Application of
Comprehensive Environmental Pollution Index (CEPI)
1 Agra (Uttar Pradesh)2 Ahmedabad (Gujarat)3 Aligarh (Uttar Pradesh)4 Angul Talcher (Orissa)*5 Ankleshwar (Gujarat) *6 Asansole (West Bengal)7 Aurangabad (Maharashtra)8 Bada Jamtara (Jharkhand)9 Baddi (Himachal Pradesh)10 Batala (Punjab)11 Bhadravati (Karnataka) *12 Bhavnagar (Gujarat)13 Bhillai- Durg (Chhattisgarh)14 Bhiwadi (Rajasthan)15 Bidar (Karnataka)16 Bulandsahar-Khurza (Uttar
Pradesh)17 Burnihat (Assam)18 Chandrapur (Maharashtra)19 Chembur (Maharashtra) *20 Coimbatore (Tamil Nadu)21 Cochin Greater (Kerala) *22 Cuddalore (Tamil Nadu)23 Dewas (Madhya Pradesh)
24 Dhanbad (Jharkhand) *25 Digboi (Assam) *26 Dombivalli (Maharashtra)27 Durgapur (West Bengal) *28 Erode (Tamil Nadu)29 Faridabad (Haryana)30 Ferozabad (Uttar Pradesh)31 Ghaziabad (Uttar Pradesh)32 Gwalior (Madhya Pradesh)33 Hajipur (Bihar)34 Haldia (West Bengal)35 Haridwar (Uttarakhand)36 Howrah (West Bengal) *37 Indore (Madhya Pradesh)38 Ib Valley (Orissa)39 Jaipur (Rajasthan)40 Jalandhar (Punjab)41 Jamshedpur (Jharkhand)42 Jharsuguda (Orissa)43 Jodhpur (Rajasthan) *44 Junagarh (Gujarat)45 Kala Amb (Himachal
Pradesh)46 Kanpur (Uttar Pradesh)
47 Kathedan (Andhra Pradesh)48 Korba (Chhattisgarh) *49 Kukatpalli (Andhra Pradesh)50 Ludhiana (Punjab)51 Manali (Tamil Nadu) *52 Mandi Gobind Garh
(Punjab) *53 Mangalore (Karnataka)54 Mathura (Uttar Pradesh)55 Meerut (Uttar Pradesh)56 Mettur (Tamilnadu)57 Moradabad (Uttar Pradesh)58 Nagda -Ratlam (Madhya
Pradesh) *59 Nashik (Maharashtra)60 Navi Mumbai (Maharashtra)61 Nazafgarh drain basin*
(including Anand Parvat, Naraina, Okhla, and Wazirpur), Delhi
62 Noida (Uttar Pradesh)63 Pali (Rajasthan) *64 Panipat (Haryana)65 Paradeep (Orissa)
1 These industrial clusters or areas include 24 existing critically polluted areas, which are indicated by an asterisk (*).
Co m p re h e n s i ve E nv i ro n m e n t a l A s s e s s m e n t o f I n d u s t r i a l C l u s te r s
7
66 Parwanoo (Himachal Pradesh) *
67 Patancheru- -Bollaram (Andhra Pradesh) *
68 Pimpari-Chinchwad (Maharashtra)
69 Pinia (Karnataka)70 Pitampur (Madhya Pradesh)71 Raichur (Karnataka)72 Raipur (Chhatisgarh)
73 Rajkot (Gujarat)74 Ramgarh (Jharkhand)75 Saraikela (Jharkhand)76 Singhbhum, West (Bihar)77 Singrauli (Uttar Pradesh) *78 Surat (Gujarat)79 Tarapur (Maharashtra) *80 Tirupur (Tamil Nadu)81 Udhamsingh Nagar
(Uttarakhand)
82 Vadodara (Gujarat)83 Vapi (Gujarat) *84 Varansi-Mirzapur (Uttar
Pradesh)85 Vatva (Gujarat)86 Vellore (North Arcot) (Tamil
Nadu) *87 Vijaywada (Andhra Pradesh)88 Vishakhapatnam
(AndhraPradesh) *
The calculations of CEPI have been carried out for all these 88 areas based on the data made available by the CPCB.
The framework of the CEPI is based on three factors—pollutant, pathway, and receptor (Figure 1).
Figure 1 Framework of the Comprehensive Environmental Pollution Index
Estimated score A1
(Based on the data on
the presence of toxins)
Pollutant score A
=A1 A2�
Pathway score B
=B1 + B2 + B3
EPI=A + B + C + D
Receptor score C
=C1 + C2 + C3
Estimated score C1
(Based on potentially
affected population)
Estimated score A2
(Based on the scale of
industrial activities)
Estimated score C2
(Based on the level
of exposure)
Estimated score C3
(Based on the risk to
sensitive receptors)
Additional high risk
element D
(Based on the information
on pollution
control facilities)
Estimated score B1
(Based on the pollutant
concentration data)
Estimated score B2
(Based on the impact
on people)
Estimated score B3
(Based on the impact on
eco-geological features
Co m p re h e n s i ve E nv i ro n m e n t a l A s s e s s m e n t o f I n d u s t r i a l C l u s te r s
8
a POLLUTANT (up to 3 most critical pollutants to be taken) Factor number A1: presence of toxin
Group A - Toxins that are not assessed as acute or systemic = 1Group B - Organics that are probable carcinogens (USEPA Class 2 and 3) or substances with some systemic toxicity, for example, VOC’s, PAHs, PCBs, PM
10, and PM
2.5 = 2 (refer
Appendix I for list) Group C - Known carcinogens or chemicals with signifi cant systemic or organ system toxicity, for example, vinyl chloride, benzene, lead, radionuclide, hexachromium, cadmium, and organophosphate = 4 (refer appendix II for list)
Table 1 lists the penalty values for combination of most critical pollutants for Factor A1
•P
P
P
Table 1 Penalty values for combination of most critical pollutants Factor A1S No. Pollutant 1 Pollutant 2 Pollutant 3 Penalty1. C C C 2.02. C C B/A 1.753. C B B/A 1.54. B B B/A 1.0
Factor number A2: scale of industrial activitiesLarge = 5 (if there are
> 10 R17
per 10 km2 area or fraction2 or > 2 R
17 + 10 R
54 per 10 km2 area or fraction or
> 100 R54
per 10 km2 area or fraction3)
Moderate = 2.5 (if there are 2 to 10 R17
per 10 km2 area or fraction or 10–100 R54
10 km2 area or fraction)Limited = 1 (else there is any industry within 10 km2 area or fraction)
These two factors are taken as multiplicative and, therefore, the overall score for this element is as follows.
SCORE A = A1 × A2 (max score = 6 × 5 = 30)
b PATHWAY Factor number B1: Ambient Pollutant Concentration
Critical = 6 (when exceedence factor4 is more than 1.5)High = 3 (when exceedence factor is between 1 and 1.5)Moderate = 2 (when exceedence factor is between 0.5 and 1.0)Low = 1 (when exceedence factor is < 0.5)
•P
P
P
•P
P
P
P
2 R17 are 17 category of highly polluting industries other than red category industries categorized by the Central Pollution Control Board (CPCB) 3 R54 are red category industries categorized by the CPCB4 Reliable evidence is in form of media reports, hospital records, public interest litigations (PIL) and NGOs reporting, academic research
reports, published literature
Co m p re h e n s i ve E nv i ro n m e n t a l A s s e s s m e n t o f I n d u s t r i a l C l u s te r s
9
Table 2 lists the penalty values for combination of most critical pollutants for Factor B1
Table 2 Penalty values for combination of most critical pollutants Factor B1S No. Pollutant 1 Pollutant 2 Pollutant 3 Penalty1. Critical Critical Critical/high/moderate 2.02. Critical High High/moderate 1.753. High High High 1.54. High High Moderate 1.0
Factor number B2: Evidence* of adverse impact on people.No = 0 (when no reliable evidence is available)Yes = 3 (when evidence of symptoms of exposure) Yes = 6 (when evidence of fatality or disease(s) leading to fatality (such as cancer) due to exposure)
Factor number B3: reliable evidence of adverse impact on eco-geological features.No = 0 (when no reliable evidence is available)Yes = 3 (when evidence of symptoms of exposure) Yes = 6 (when evidence of loss of fl ora/fauna/signifi cant damage to eco-geological features, [irreparable loss/damage])
Overall score for this element is as follows: SCORE B = B1 + B2 + B3 = (8 + 6 + 6) = 20
c RECEPTORFactor number C1: number of people potentially affected within 2 km boundary from the industrial pollution source.
<1000 = 1 1000 to 10 000 = 1.5 10 000 to 100 000 = 3 > 100 000 = 5
Factor number C2: level of exposure A surrogate number which will represent level of exposure (SNLF) is calculated using per cent violation of ambient pollutant concentration, which is calculated as follows.
SNLF = (Number of samples exceeded/total number of samples) × (exceedence factor)Low = 1 (SNLF = 0)Moderate = 1.5 (SNLF < 0.25) High = 2 (SNLF 0.25 - 0.5) Critical = 3 (SNLF > 0.5)
Table 3 shows the penalty Values for Combination of most critical pollutants for Factor C2
•P
P
P
•P
P
P
•
P
P
P
P
•P
P
P
P
P
Co m p re h e n s i ve E nv i ro n m e n t a l A s s e s s m e n t o f I n d u s t r i a l C l u s te r s
10
Factor number C3: additional risk to sensitive receptors No = 0Yes (if > 500 sensitive people/ a sensitive historical/ archaeological/ religious/ national parks/ sanctuary/ ecological habitat are within 2 km distance from source, additional risk) = 5
SCORE C = (C1 × C2) + C3 (maximum score = (5 × 5) + 5 = 30)
d Additional high risk elementFactor number D - Additional High Risk Element (inadequacy of pollution control measures for large scale, medium, and small-scale industries and also due to unorganized sector). It is cumulative of ETPs, CETPs, air pollution control devises (APCDs) and unorganized waste disposal (maximum score = 20).
If all the industries in the area have adequately designed/operated and maintained pollution control facilities and also common facilities such as CETP/ FETP/ CHWDF are having adequate capacity and have state-of-art technology = 0 If all the large industries in the area have adequately designed/operated and maintained pollution control facilities but small and medium industries are defaulting. Common facilities such as CETP/FETP/CHWDF have adequate in capacity or operation/ maintenance = 5 If all the industries in the area have adequately designed/operated and maintained pollution control facilities but the common facilities such as CETP/FETP/CHWDF have inadequate in capacity or operation/maintenance = 10 If all the large industries in the area have adequately designed/ operated and maintained pollution control facilities but small and medium industries are defaulting. Common facilities such as CETP/FETP/CHWDF have inadequate in capacity or operation/ maintenance = 15 Inadequate facilities of individual as well as common facilities, full penalty = 20
•P
P
•
P
P
P
P
P
Table 3 Penalty values for combination of most critical pollutants Factor C2S No. Pollutant 1 Pollutant 2 Pollutant 3 Penalty1. Critical Critical Critical/high/moderate 2.02. Critical High High/moderate 1.753. High High High 1.54. High High Moderate 1.0
Table 4 Score for additional high-risk element: Factor DS No. Large- scale industries Small/medium -scale
industriesCommon facilities for pollution control
Score
1. Adequate Adequate Adequate 02. Adequate Inadequate Adequate 53. Adequate Adequate Inadequate 104. Adequate Inadequate Inadequate 155. Inadequate Inadequate Inadequate 20
Co m p re h e n s i ve E nv i ro n m e n t a l A s s e s s m e n t o f I n d u s t r i a l C l u s te r s
11
Inadequate Facilities > 10% units defi cient in terms of design/ operation and maintenance of pollution control in case of small and medium scale industries or > 2% units defi ciency in terms of design/ operation and maintenance of pollution control in case of Large scale industries or common facilities
The status report (last two years) shall be used deciding the score for adequacy. On the above basis, the total score is calculated as: SCORE = (A + B + C + D) = (30 + 20 +30 +20) = 100
Co m p re h e n s i ve E nv i ro n m e n t a l A s s e s s m e n t o f I n d u s t r i a l C l u s te r s
12
Ap
pli
cati
on o
f C
EP
I on
th
e id
enti
fi ed
ind
ust
rial
clu
ster
sTa
ble
5 be
low
sh
ows
the
CE
PIs
of
vari
ous
Ind
ust
rial
are
as/
clu
ster
s fo
r A
ir E
nvir
onm
ent.
Tabl
e 5 C
EPIs
of va
rious
Indu
stria
l are
as/ c
lust
ers f
or A
ir En
viron
men
tNo
.In
dust
rial C
lust
er/A
rea
A1A2
AB1
B2B3
BC1
C2C3
CD
AIR
CEPI
1Ag
ra (U
ttar P
rade
sh)
6.00
2.50
15.0
08.
003.
003.
0014
.00
5.00
3.00
5.00
20.0
010
.00
59.0
02
Ahme
daba
d (G
ujara
t)6.
005.
0030
.00
7.75
3.00
3.00
13.7
53.
003.
000.
009.
0010
.00
62.7
53
Aliga
rh (U
ttar P
rade
sh)
6.00
2.50
15.0
08.
003.
003.
0014
.00
3.00
3.00
5.00
14.0
010
.00
53.0
04
Angu
l Talc
her (
Oriss
a)2.
005.
0010
.00
3.00
3.00
3.00
9.00
5.00
5.00
5.00
30.0
015
.00
64.0
05
Ankle
shwa
r (Gu
jarat
)5.
005.
0025
.00
8.00
6.00
6.00
20.0
03.
004.
005.
0017
.00
10.0
072
.00
6As
anso
le (W
est B
enga
l)5.
752.
5014
.38
3.00
3.00
3.00
9.00
3.00
5.00
5.00
20.0
015
.00
58.3
87
Aura
ngab
ad (M
ahar
asht
ra)
5.75
5.00
28.7
56.
003.
003.
0012
.00
3.00
3.00
5.00
14.0
010
.00
64.7
58
Bada
Jamt
ara
(Jha
rkha
nd)
1.00
5.00
5.00
8.00
3.00
3.00
14.0
03.
003.
005.
0014
.00
15.0
048
.00
9Ba
ddi (
Hima
chal
Prad
esh)
6.00
5.00
30.0
07.
000.
000.
007.
003.
003.
000.
009.
0010
.00
56.0
010
Bata
la (P
unjab
)3.
005.
0015
.00
3.00
3.00
3.00
9.00
3.00
3.00
3.00
12.0
015
.00
51.0
011
Bhad
rava
ti (Ka
rnat
aka)
5.75
5.00
28.7
53.
003.
003.
009.
005.
003.
000.
0015
.00
10.0
062
.75
12Bh
avna
gar (
Gujar
at)
5.50
5.00
27.5
08.
000.
000.
008.
003.
003.
000.
009.
0010
.00
54.5
013
Bhilla
i- Du
rg (C
hhat
isgar
h)2.
002.
505.
003.
003.
003.
009.
005.
003.
005.
0020
.00
10.0
044
.00
14Bh
iwad
i (Ra
jasth
an)
6.00
5.00
30.0
06.
000.
000.
006.
005.
005.
000.
0025
.00
10.0
071
.00
15Bi
dar (
Karn
atak
a)5.
755.
0028
.75
6.00
0.00
0.00
6.00
3.00
3.00
5.00
14.0
010
.00
58.7
516
Bulan
dsah
ar-K
hurz
a (U
ttar P
rade
sh)
5.00
2.50
12.5
06.
000.
000.
006.
003.
004.
500.
0013
.50
10.0
042
.00
17Bu
rniha
t (As
sam)
2.00
5.00
10.0
01.
003.
003.
007.
003.
003.
003.
0012
.00
10.0
039
.00
18Ch
andr
apur
(Mah
aras
htra
)5.
755.
0028
.75
6.00
3.00
3.00
12.0
05.
004.
000.
0020
.00
10.0
070
.75
19Ch
embu
r (Ma
hara
shtra
)5.
755.
0028
.75
6.00
0.00
0.00
8.00
5.00
3.00
0.00
15.0
010
.00
59.7
520
Coim
bato
re (T
amil N
adu)
5.75
5.00
28.7
53.
000.
003.
006.
005.
003.
500.
0017
.50
10.0
062
.25
21Co
chin,
Gre
ater
(Ker
ala)
3.00
5.00
15.0
01.
003.
003.
007.
005.
003.
005.
0020
.00
15.0
057
.00
Co m p re h e n s i ve E nv i ro n m e n t a l A s s e s s m e n t o f I n d u s t r i a l C l u s te r s
13
Cont
d...
Tabl
e 5 c
ontd
...No
.In
dust
rial C
lust
er/A
rea
A1A2
AB1
B2B3
BC1
C2C3
CD
AIR
CEPI
22Cu
ddalo
re (T
amiln
adu)
3.00
5.00
15.0
03.
003.
003.
009.
005.
003.
005.
0020
.00
10.0
054
.00
23De
was (
Madh
ya P
rade
sh)
2.00
5.00
10.0
04.
001.
503.
008.
505.
003.
003.
0018
.00
15.0
051
.50
24Dh
anba
d (J
hark
hand
)3.
005.
0015
.00
6.00
3.00
3.00
12.0
05.
003.
505.
0022
.50
15.0
064
.50
25Di
gboi
(Ass
am)
2.00
2.50
5.00
2.00
3.00
3.00
8.00
3.00
3.00
0.00
9.00
10.0
032
.00
26Do
mbiva
lli (M
ahar
asht
ra)
6.00
5.00
30.0
06.
000.
000.
006.
005.
003.
000.
0015
.00
15.0
066
.00
27Du
rgap
ur (W
est B
enga
l)2.
005.
0010
.00
6.00
0.00
3.00
9.00
5.00
3.50
3.00
20.5
010
.00
49.5
028
Erod
e (T
amil N
adu)
5.75
2.50
14.3
83.
003.
000.
006.
003.
004.
005.
0017
.00
10.0
047
.38
29Fa
ridab
ad (H
arya
na)
6.00
5.00
30.0
06.
000.
000.
006.
005.
003.
500.
0017
.50
10.0
063
.50
30Fe
roza
bad
(Utta
r Pra
desh
)6.
002.
5015
.00
7.00
0.00
3.00
10.0
03.
003.
000.
009.
0015
.00
49.0
031
Ghaz
iabad
(Utta
r Pra
desh
)3.
005.
0015
.00
8.00
0.00
3.00
11.0
05.
004.
505.
0027
.50
15.0
068
.50
32Gw
alior
(Mad
hya
Prad
esh)
5.75
2.50
14.3
86.
000.
000.
006.
003.
003.
500.
0010
.50
15.0
045
.88
33Ha
jipur
(Biha
r)3.
002.
507.
504.
000.
003.
007.
003.
003.
005.
0014
.00
15.0
043
.50
34Ha
ldia
(Wes
t Ben
gal)
5.75
5.00
28.7
53.
000.
003.
006.
003.
003.
000.
009.
0010
.00
53.7
535
Harid
war (
Utta
rakh
and)
5.75
5.00
28.7
54.
000.
000.
004.
003.
003.
000.
009.
0010
.00
51.7
536
Howr
ah (W
est B
enga
l)3.
005.
0015
.00
6.00
3.00
3.00
12.0
05.
003.
005.
0020
.00
10.0
057
.00
37In
dore
(Mad
hya
Prad
esh)
2.00
2.50
5.00
8.00
3.00
3.00
14.0
05.
004.
005.
0025
.00
15.0
059
.00
38Ib
Vall
ey (O
rissa
)5.
005.
0025
.00
3.00
0.00
3.00
6.00
5.00
3.00
0.00
15.0
015
.00
61.0
039
Jaipu
r (Ra
jasth
an)
6.00
2.50
15.0
08.
003.
000.
0011
.00
3.00
3.00
5.00
14.0
015
.00
55.0
040
Jalan
dhar
(Pun
jab)
2.00
5.00
10.0
03.
003.
003.
009.
005.
004.
003.
0023
.00
10.0
052
.00
41Ja
mshe
dpur
(Jha
rkha
nd)
5.75
5.00
28.7
52.
000.
000.
002.
005.
003.
000.
0015
.00
10.0
055
.75
42Jh
arsu
guda
(Oris
sa)
5.00
5.00
25.0
03.
000.
003.
006.
005.
003.
000.
0015
.00
15.0
061
.00
43Jo
dhpu
r (Ra
jasth
an)
3.00
5.00
15.0
06.
003.
003.
0012
.00
5.00
3.00
5.00
20.0
05.
0052
.00
44Ju
naga
rh (G
ujara
t)5.
755.
0028
.75
4.00
0.00
0.00
4.00
3.00
3.50
0.00
10.5
010
.00
53.2
545
Kala
Amb
(Him
acha
l Pra
desh
)6.
005.
0030
.00
7.75
0.00
0.00
7.75
3.00
3.00
0.00
9.00
10.0
056
.75
Co m p re h e n s i ve E nv i ro n m e n t a l A s s e s s m e n t o f I n d u s t r i a l C l u s te r s
14
Tabl
e 5 c
ontd
...No
.In
dust
rial C
lust
er/A
rea
A1A2
AB1
B2B3
BC1
C2C3
CD
AIR
CEPI
46Ka
npur
(Utta
r Pra
desh
)6.
005.
0030
.00
8.00
0.00
3.00
11.0
05.
002.
000.
0010
.00
15.0
066
.00
47Ka
thed
an (A
ndhr
a Pr
ades
h)6.
002.
5015
.00
6.00
0.00
0.00
6.00
3.00
4.50
0.00
13.5
010
.00
44.5
048
Korb
a (C
hhat
isgar
h)3.
005.
0015
.00
6.00
3.00
3.00
12.0
05.
004.
005.
0025
.00
15.0
067
.00
49Ku
katp
alli (
Andh
ra P
rade
sh)
6.00
2.50
15.0
06.
000.
000.
006.
003.
003.
500.
0010
.50
10.0
041
.50
50Lu
dhian
a (P
unjab
)6.
005.
0030
.00
8.00
0.00
0.00
8.00
5.00
4.00
0.00
20.0
010
.00
68.0
051
Mana
li (Ta
milna
du)
5.00
5.00
25.0
06.
003.
003.
0012
.00
3.00
4.00
0.00
12.0
015
.00
64.0
052
Mand
i Gob
ind G
arh
(Pun
jab)
4.00
5.00
20.0
06.
003.
006.
0015
.00
3.00
4.00
5.00
17.0
010
.00
62.0
053
Mang
alore
(Kar
nata
ka)
5.75
5.00
28.7
52.
003.
003.
008.
005.
002.
000.
0010
.00
15.0
061
.75
54Ma
thur
a (U
ttar P
rade
sh)
2.00
5.00
10.0
02.
003.
003.
008.
005.
003.
005.
0020
.00
10.0
048
.00
55Me
erut
(Utta
r Pra
desh
)2.
005.
0010
.00
6.00
3.00
3.00
12.0
05.
003.
003.
0018
.00
10.0
050
.00
56Me
ttur (
Tami
lnadu
)3.
005.
0015
.00
1.00
3.00
3.00
7.00
3.00
3.00
5.00
14.0
010
.00
46.0
057
Mora
daba
d (U
ttar P
rade
sh)
2.00
5.00
10.0
03.
003.
003.
009.
005.
004.
005.
0025
.00
10.0
054
.00
58Na
gda
-Rat
lam (M
adhy
a Pr
ades
h)2.
005.
0010
.00
6.00
3.00
1.50
10.5
03.
003.
005.
0014
.00
10.0
044
.50
59Na
shik
(Mah
aras
htra
)6.
005.
0030
.00
6.00
0.00
0.00
6.00
3.00
3.00
0.00
9.00
10.0
055
.00
60Na
vi Mu
mbai
(Mah
aras
htra
)6.
005.
0030
.00
6.00
0.00
0.00
6.00
3.00
5.00
0.00
15.0
010
.00
61.0
061
Naza
fgar
h dr
ain b
asin
(inclu
ding A
nand
Pa
rvat
, Nar
aina,
Okh
la an
d W
azirp
ur),
Delhi
5.75
2.50
14.3
87.
750.
000.
007.
755.
003.
005.
0020
.00
10.0
052
.13
62No
ida (U
ttar P
rade
sh)
6.00
5.00
30.0
07.
750.
003.
0010
.75
3.00
5.00
0.00
15.0
010
.00
65.7
563
Pali (
Rajas
than
)3.
005.
0015
.00
4.00
0.00
0.00
4.00
5.00
4.00
3.00
23.0
010
.00
52.0
064
Panip
at (H
arya
na)
5.75
5.00
28.7
58.
000.
000.
008.
003.
003.
000.
009.
0010
.00
55.7
565
Para
deep
(Oris
sa)
3.00
5.00
15.0
03.
003.
003.
009.
005.
003.
005.
0020
.00
10.0
054
.00
66Pa
rwan
oo (H
imac
hal P
rade
sh)
3.00
5.00
15.0
03.
003.
003.
009.
003.
003.
005.
0014
.00
15.0
053
.00
67Pa
tanc
heru
- -Bo
llara
m (A
ndhr
a Pr
ades
h)3.
005.
0015
.00
1.00
3.00
3.00
7.00
5.00
3.00
3.00
18.0
010
.00
50.0
068
Pimp
ari-C
hinch
wad
(Mah
aras
htra
)5.
755.
0028
.75
6.00
0.00
0.00
6.00
3.00
3.50
0.00
10.5
010
.00
55.2
5
Co m p re h e n s i ve E nv i ro n m e n t a l A s s e s s m e n t o f I n d u s t r i a l C l u s te r s
15
Tabl
e 5 c
ontd
...No
.In
dust
rial C
lust
er/A
rea
A1A2
AB1
B2B3
BC1
C2C3
CD
AIR
CEPI
69Pi
nia (K
arna
taka
)5.
755.
0028
.75
6.00
0.00
0.00
6.00
3.00
4.00
0.00
12.0
010
.00
56.7
570
Pita
mpur
(Mad
hya
Prad
esh)
5.75
5.00
28.7
53.
000.
000.
003.
003.
002.
000.
006.
0010
.00
47.7
571
Raich
ur (K
arna
taka
)5.
755.
0028
.75
7.00
0.00
0.00
7.00
3.00
3.00
5.00
14.0
010
.00
59.7
572
Raipu
r (Ch
hatis
garh
)2.
005.
0010
.00
7.50
3.00
3.00
13.5
05.
004.
003.
0023
.00
10.0
056
.50
73Ra
jkot (
Gujar
at)
3.00
2.50
7.50
7.00
1.50
1.50
10.0
05.
003.
003.
0018
.00
10.0
045
.50
74Ra
mgar
h (J
hark
hand
)3.
005.
0015
.00
1.00
3.00
3.00
7.00
3.00
3.00
3.00
12.0
010
.00
44.0
075
Sara
ikela
(Jha
rkha
nd)
2.00
5.00
10.0
04.
503.
003.
0010
.50
5.00
3.00
5.00
20.0
010
.00
50.5
076
Sing
hbhu
m, W
est (
Biha
r)3.
005.
0015
.00
4.50
3.00
3.00
10.5
05.
003.
005.
0020
.00
10.0
055
.50
77Si
ngra
uli (U
ttar P
rade
sh)
2.00
5.00
10.0
07.
753.
006.
0016
.75
5.00
4.75
5.00
28.7
515
.00
70.5
078
Sura
t (Gu
jarat
)5.
502.
5013
.75
8.00
0.00
0.00
8.00
3.00
4.75
0.00
14.2
510
.00
46.0
079
Tara
pur (
Maha
rash
tra)
5.75
5.00
28.7
52.
003.
003.
008.
003.
003.
005.
0014
.00
10.0
060
.75
80Tir
upur
(Tam
il Nad
u)5.
755.
0028
.75
0.00
0.00
3.00
3.00
3.00
4.00
3.00
15.0
010
.00
56.7
581
Udha
msing
h Na
gar (
Utta
rakh
and)
6.00
2.50
15.0
07.
000.
000.
007.
003.
004.
000.
0012
.00
10.0
044
.00
82Va
doda
ra (G
ujara
t)6.
005.
0030
.00
2.00
0.00
0.00
2.00
5.00
3.00
0.00
15.0
010
.00
57.0
083
Vapi
(Guja
rat)
5.00
5.00
25.0
08.
003.
003.
0014
.00
5.00
5.00
0.00
25.0
010
.00
74.0
084
Vara
nsi-M
irzap
ur (U
ttar P
rade
sh)
6.00
5.00
30.0
06.
000.
000.
006.
003.
004.
000.
0012
.00
10.0
058
.00
85Va
tva (G
ujara
t)3.
005.
0015
.00
4.00
3.00
3.00
10.0
05.
004.
005.
0025
.00
10.0
060
.00
86Ve
llore
(Nor
th A
rcot
) (Ta
milna
du)
5.75
5.00
28.7
53.
004.
503.
0010
.50
5.00
3.00
5.00
20.0
010
.00
69.2
587
Vijay
wada
(And
hra
Prad
esh)
3.00
5.00
15.0
04.
001.
501.
507.
005.
003.
005.
0020
.00
10.0
052
.00
88Vi
shak
hapa
tnam
(And
hraP
rade
sh)
3.00
5.00
15.0
06.
003.
003.
0012
.00
5.00
4.00
0.00
20.0
010
.00
57.0
0
CEPI
(Air
Envir
onme
nt) =
A +
B +
C +
DA
(Poll
utan
t Sco
re) =
A1
x A2;
whe
re, A
1: P
rese
nce
of To
xin; A
2: S
cale
of in
dustr
ial a
ctivit
ies
B (P
athw
ay S
core
) = B
1 +
B2 +
B3;
whe
re, B
1: P
ollut
ant C
once
ntra
tion
B2: I
mpac
t on
peop
le; B
3: Im
pact
on E
co-g
eolog
ical fe
atur
e C
(Rec
epto
r Sco
re) =
C1
x C2
+ C3
; whe
re, C
1: P
oten
tially
affe
cted
popu
lation
; C2:
Lev
el of
exp
osur
e; C
3: R
isk to
sens
itive
rece
ptor
s D=
Add
itiona
l High
Risk
Elem
ent
Co m p re h e n s i ve E nv i ro n m e n t a l A s s e s s m e n t o f I n d u s t r i a l C l u s te r s
16
Tabl
e 6
belo
w s
how
s th
e C
EP
Is o
f va
riou
s In
du
stri
al a
reas
/ cl
ust
ers
for
Wat
er E
nvir
onm
ent.
Tabl
e 6 C
EPIs
of va
rious
Indu
stria
l are
as/ c
lust
ers f
or S
urfa
ce W
ater
No
.In
dust
rial C
lust
er/A
rea
A1A2
AB1
B2B3
BC1
C2C3
CD
WAT
ER C
EPI
1Ag
ra (U
ttar P
rade
sh)
5.50
2.50
13.7
57.
000.
003.
0010
.00
5.00
5.00
5.00
30.0
010
.00
63.7
52
Ahme
daba
d (G
ujara
t)3.
005.
0015
.00
8.00
3.00
3.00
14.0
03.
003.
005.
0014
.00
15.0
058
.00
3Al
igarh
(Utta
r Pra
desh
)2.
002.
505.
008.
003.
003.
0014
.00
3.00
3.00
5.00
14.0
015
.00
48.0
04
Angu
l Talc
her (
Oriss
a)3.
005.
0015
.00
6.00
0.00
3.00
9.00
5.00
5.00
5.00
30.0
015
.00
69.0
05
Ankle
shwa
r (Gu
jarat
)5.
755.
0028
.75
8.00
3.00
3.00
14.0
03.
005.
005.
0020
.00
10.0
072
.75
6As
anso
le (W
est B
enga
l)3.
002.
507.
507.
753.
003.
0013
.75
3.00
5.00
5.00
20.0
015
.00
56.2
57
Aura
ngab
ad (M
ahar
asht
ra)
5.50
5.00
27.5
08.
003.
003.
0014
.00
3.00
3.00
5.00
14.0
05.
0060
.50
8Ba
da Ja
mtar
a (J
hark
hand
)3.
005.
0015
.00
1.00
3.00
4.50
8.50
3.00
3.00
5.00
14.0
015
.00
52.5
09
Badd
i (Hi
mach
al Pr
ades
h)3.
005.
0015
.00
7.50
0.00
3.00
10.5
03.
003.
005.
0014
.00
15.0
054
.50
10Ba
tala
(Pun
jab)
3.00
5.00
15.0
08.
001.
503.
0012
.50
3.00
3.00
5.00
14.0
015
.00
56.5
011
Bhad
rava
ti (Ka
rnat
aka)
3.00
5.00
15.0
02.
001.
503.
006.
505.
004.
005.
0025
.00
10.0
056
.50
12Bh
avna
gar (
Gujar
at)
3.00
5.00
15.0
07.
503.
003.
0013
.50
3.00
3.00
5.00
14.0
015
.00
57.5
013
Bhilla
i- Du
rg (C
hhat
isgar
h)2.
002.
505.
002.
001.
501.
505.
005.
003.
000.
0015
.00
10.0
035
.00
14Bh
iwad
i (Ra
jasth
an)
3.00
5.00
15.0
08.
003.
003.
0014
.00
5.00
5.00
0.00
25.0
015
.00
69.0
015
Bida
r (Ka
rnat
aka)
3.00
5.00
15.0
07.
001.
501.
5010
.00
3.00
3.00
5.00
14.0
010
.00
49.0
016
Bulan
dsah
ar-K
hurz
a (U
ttar P
rade
sh)
3.00
2.50
7.50
2.00
0.00
0.00
2.00
3.00
3.00
0.00
9.00
15.0
033
.50
17Bu
rniha
t (As
sam)
2.00
5.00
10.0
02.
001.
501.
505.
003.
001.
505.
009.
5010
.00
34.5
018
Chan
drap
ur (M
ahar
asht
ra)
3.00
5.00
15.0
08.
001.
503.
0012
.50
5.00
4.00
5.00
25.0
015
.00
67.5
019
Chem
bur (
Maha
rash
tra)
3.00
5.00
15.0
07.
751.
501.
5010
.75
5.00
2.00
5.00
15.0
010
.00
50.7
520
Coim
bato
re (T
amil N
adu)
3.00
5.00
15.0
07.
753.
003.
0013
.75
5.00
3.00
5.00
20.0
010
.00
58.7
521
Coch
in, G
reat
er (
Kera
la)5.
005.
0025
.00
6.00
1.50
1.50
9.00
5.00
3.00
5.00
20.0
010
.00
64.0
0
Co m p re h e n s i ve E nv i ro n m e n t a l A s s e s s m e n t o f I n d u s t r i a l C l u s te r s
17
Cont
d...
Tabl
e 6 c
ontd
...No
.In
dust
rial C
lust
er/A
rea
A1A2
AB1
B2B3
BC1
C2C3
CD
WAT
ER C
EPI
22Cu
ddalo
re (T
amiln
adu)
3.00
5.00
15.0
07.
754.
503.
0015
.25
5.00
3.00
5.00
20.0
015
.00
65.2
523
Dewa
s (Ma
dhya
Pra
desh
)4.
002.
5010
.00
8.00
3.00
1.50
12.5
05.
003.
005.
0020
.00
15.0
057
.50
24Dh
anba
d (J
hark
hand
)3.
005.
0015
.00
3.00
3.00
3.00
9.00
5.00
3.00
5.00
20.0
015
.00
59.0
025
Digb
oi (A
ssam
)3.
002.
507.
502.
003.
003.
008.
001.
501.
505.
007.
2510
.00
32.7
526
Domb
ivalli
(Mah
aras
htra
)3.
005.
0015
.00
8.00
0.00
3.00
11.0
05.
004.
505.
0027
.50
10.0
063
.50
27Du
rgap
ur (W
est B
enga
l)3.
005.
0015
.00
8.00
1.50
1.50
11.0
05.
003.
505.
0022
.50
10.0
058
.50
28Er
ode
(Tam
il Nad
u)3.
002.
507.
507.
750.
003.
0010
.75
3.00
3.00
5.00
14.0
015
.00
47.2
529
Farid
abad
(Har
yana
)3.
005.
0015
.00
8.00
3.00
3.00
14.0
05.
003.
005.
0020
.00
10.0
059
.00
30Fe
roza
bad
(Utta
r Pra
desh
)3.
002.
507.
508.
000.
003.
0011
.00
3.00
4.50
0.00
13.5
015
.00
47.0
031
Ghaz
iabad
(Utta
r Pra
desh
)5.
755.
0028
.75
8.00
3.00
3.00
14.0
05.
004.
500.
0022
.50
10.0
075
.25
32Gw
alior
(Mad
hya
Prad
esh)
3.00
2.50
7.50
7.50
0.00
0.00
7.50
3.00
4.50
0.00
13.5
010
.00
38.5
033
Hajip
ur (B
ihar)
3.00
2.50
7.50
4.50
0.00
3.00
7.50
3.00
3.00
5.00
14.0
015
.00
44.0
034
Haldi
a (W
est B
enga
l)6.
005.
0030
.00
8.00
0.00
3.00
11.0
03.
004.
500.
0013
.50
10.0
064
.50
35Ha
ridwa
r (Ut
tara
khan
d)3.
005.
0015
.00
6.00
0.00
3.00
9.00
3.00
3.00
5.00
14.0
010
.00
48.0
036
Howr
ah (W
est B
enga
l)3.
005.
0015
.00
2.00
4.50
3.00
9.50
5.00
2.00
5.00
15.0
015
.00
54.5
037
Indo
re (M
adhy
a Pr
ades
h)4.
002.
5010
.00
8.00
3.00
1.50
12.5
05.
003.
005.
0020
.00
15.0
057
.50
38Ib
Vall
ey (O
rissa
)2.
005.
0010
.00
6.00
0.00
3.00
9.00
5.00
3.50
5.00
22.5
015
.00
56.5
039
Jaipu
r (Ra
jasth
an)
3.00
2.50
7.50
8.00
0.00
3.00
11.0
03.
004.
505.
0018
.50
15.0
052
.00
40Ja
landh
ar (P
unjab
)3.
005.
0015
.00
3.00
3.00
3.00
9.00
5.00
3.00
3.00
18.0
010
.00
52.0
041
Jams
hedp
ur (J
hark
hand
)5.
505.
0027
.50
7.50
0.00
0.00
7.50
3.00
3.50
0.00
10.5
010
.00
55.5
042
Jhar
sugu
da (O
rissa
)2.
005.
0010
.00
6.00
0.00
3.00
9.00
5.00
3.50
5.00
22.5
015
.00
56.5
043
Jodh
pur (
Rajas
than
)5.
505.
0027
.50
7.00
3.00
3.00
13.0
05.
003.
000.
0015
.00
10.0
065
.50
44Ju
naga
rh (G
ujara
t)3.
005.
0015
.00
6.00
3.00
3.00
12.0
03.
003.
500.
0010
.50
15.0
052
.50
45Ka
la Am
b (H
imac
hal P
rade
sh)
3.00
5.00
15.0
08.
001.
503.
0012
.50
3.00
4.00
5.00
0.00
15.0
054
.50
Co m p re h e n s i ve E nv i ro n m e n t a l A s s e s s m e n t o f I n d u s t r i a l C l u s te r s
18
Tabl
e 6 c
ontd
...No
.In
dust
rial C
lust
er/A
rea
A1A2
AB1
B2B3
BC1
C2C3
CD
WAT
ER C
EPI
46Ka
npur
(Utta
r Pra
desh
)3.
005.
0015
.00
8.00
0.00
3.00
11.0
05.
003.
505.
0022
.50
15.0
063
.50
47Ka
thed
an (A
ndhr
a Pr
ades
h)3.
002.
507.
508.
000.
003.
0011
.00
3.00
4.50
0.00
13.5
015
.00
47.0
048
Korb
a (C
hhat
isgar
h)2.
005.
0010
.00
6.00
3.00
3.00
12.0
05.
003.
005.
0020
.00
15.0
057
.00
49Ku
katp
alli (
Andh
ra P
rade
sh)
3.00
2.50
7.50
8.00
0.00
3.00
11.0
03.
004.
500.
0013
.50
15.0
047
.00
50Lu
dhian
a (P
unjab
)5.
505.
0027
.50
8.00
0.00
3.00
11.0
05.
003.
500.
0017
.50
10.0
066
.00
51Ma
nali (
Tami
lnadu
)3.
005.
0015
.00
8.00
3.00
3.00
14.0
03.
005.
005.
0020
.00
10.0
059
.00
52Ma
ndi G
obind
Gar
h (P
unjab
)3.
005.
0015
.00
4.00
3.00
4.50
11.5
03.
003.
005.
0014
.00
15.0
055
.50
53Ma
ngalo
re (K
arna
taka
)5.
755.
0028
.75
7.00
0.00
0.00
7.00
3.00
4.00
0.00
12.0
010
.00
57.7
554
Math
ura
(Utta
r Pra
desh
)3.
005.
0015
.00
2.00
3.00
3.00
8.00
5.00
2.00
5.00
15.0
010
.00
48.0
055
Meer
ut (U
ttar P
rade
sh)
3.00
2.50
7.50
2.00
0.00
3.00
5.00
5.00
4.00
5.00
25.0
010
.00
47.5
056
Mettu
r (Ta
milna
du)
5.00
5.00
25.0
06.
000.
000.
006.
003.
004.
000.
0012
.00
15.0
058
.00
57Mo
rada
bad
(Utta
r Pra
desh
)2.
005.
0010
.00
3.00
3.00
3.00
9.00
5.00
3.00
5.00
20.0
010
.00
49.0
058
Nagd
a -R
atlam
(Mad
hya
Prad
esh)
4.00
5.00
20.0
06.
001.
503.
0010
.50
3.00
3.00
5.00
14.0
010
.00
54.5
059
Nash
ik (M
ahar
asht
ra)
5.50
5.00
27.5
08.
000.
003.
0011
.00
3.00
3.00
0.00
9.00
10.0
057
.50
60Na
vi Mu
mbai
(Mah
aras
htra
)3.
005.
0015
.00
8.00
3.00
3.00
14.0
05.
003.
005.
0020
.00
10.0
059
.00
61Na
zafg
arh
drain
bas
in (in
cludin
g Ana
nd
Parv
at, N
arain
a, O
khla
and
Waz
irpur
), De
lhi
3.00
5.00
15.0
06.
000.
003.
009.
005.
005.
005.
0030
.00
15.0
069
.00
62No
ida (U
ttar P
rade
sh)
3.00
5.00
15.0
08.
003.
003.
0014
.00
3.00
5.00
5.00
20.0
015
.00
64.0
063
Pali (
Rajas
than
)4.
005.
0020
.00
8.00
3.00
3.00
14.0
05.
003.
000.
0015
.00
15.0
064
.00
64Pa
nipat
(Har
yana
)4.
005.
0020
.00
3.00
3.00
3.00
9.00
5.00
2.50
5.00
17.5
010
.00
56.5
065
Para
deep
(Oris
sa)
2.00
5.00
10.0
06.
003.
004.
5013
.50
5.00
4.00
5.00
25.0
010
.00
58.5
066
Parw
anoo
(Him
acha
l Pra
desh
)3.
005.
0015
.00
2.00
3.00
4.50
9.50
1.50
2.00
5.00
8.00
15.0
047
.50
67Pa
tanc
heru
- -Bo
llara
m (A
ndhr
a Pr
ades
h)3.
005.
0015
.00
8.00
3.00
3.00
14.0
05.
003.
005.
0020
.00
10.0
059
.00
68Pi
mpar
i-Chin
chwa
d (M
ahar
asht
ra)
3.00
5.00
15.0
07.
000.
003.
0010
.00
5.00
3.50
0.00
17.5
010
.00
52.5
0
Co m p re h e n s i ve E nv i ro n m e n t a l A s s e s s m e n t o f I n d u s t r i a l C l u s te r s
19
Tabl
e 6 c
ontd
...No
.In
dust
rial C
lust
er/A
rea
A1A2
AB1
B2B3
BC1
C2C3
CD
WAT
ER C
EPI
69Pi
nia (K
arna
taka
)3.
005.
0015
.00
6.00
0.00
3.00
9.00
3.00
4.00
0.00
12.0
010
.00
46.0
070
Pita
mpur
(Mad
hya
Prad
esh)
5.50
5.00
27.5
06.
000.
000.
006.
003.
003.
500.
0010
.50
10.0
054
.00
71Ra
ichur
(Kar
nata
ka)
3.00
2.50
7.50
6.00
0.00
3.00
9.00
5.00
3.00
5.00
20.0
010
.00
46.5
072
Raipu
r (Ch
hatis
garh
)2.
005.
0010
.00
6.00
1.50
1.50
9.00
5.00
2.00
3.00
13.0
010
.00
42.0
073
Rajko
t (Gu
jarat
)3.
002.
507.
506.
003.
003.
0012
.00
3.00
5.00
5.00
20.0
015
.00
54.5
074
Ramg
arh
(Jha
rkha
nd)
2.00
5.00
10.0
08.
003.
003.
0014
.00
3.00
3.00
5.00
14.0
015
.00
53.0
075
Sara
ikela
(Jha
rkha
nd)
3.00
5.00
15.0
03.
003.
003.
009.
005.
002.
005.
0015
.00
10.0
049
.00
76Si
nghb
hum,
Wes
t (Bi
har)
3.00
5.00
15.0
02.
001.
503.
006.
505.
003.
005.
0020
.00
10.0
051
.50
77Si
ngra
uli (U
ttar P
rade
sh)
3.00
5.00
15.0
08.
003.
003.
0014
.00
5.00
3.00
5.00
20.0
015
.00
64.0
078
Sura
t (Gu
jarat
)3.
002.
507.
507.
750.
003.
0010
.75
3.00
4.50
0.00
13.5
015
.00
46.7
579
Tara
pur (
Maha
rash
tra)
3.00
5.00
15.0
08.
000.
003.
0011
.00
3.00
5.00
0.00
15.0
015
.00
56.0
080
Tirup
ur (T
amil N
adu)
3.00
5.00
15.0
07.
750.
003.
0010
.75
3.00
5.00
0.00
15.0
010
.00
50.7
581
Udha
msing
h Na
gar (
Utta
rakh
and)
5.50
2.50
13.7
57.
000.
000.
007.
003.
003.
500.
0010
.50
10.0
041
.25
82Va
doda
ra (G
ujara
t)3.
005.
0015
.00
6.00
0.00
5.00
11.0
03.
004.
000.
0012
.00
10.0
048
.00
83Va
pi (G
ujara
t)5.
005.
0025
.00
8.00
3.00
6.00
17.0
05.
004.
500.
0022
.50
10.0
074
.50
84Va
rans
i-Mirz
apur
(Utta
r Pra
desh
)5.
505.
0027
.50
8.00
0.00
3.00
11.0
03.
004.
500.
0013
.50
10.0
062
.00
85Va
tva (G
ujara
t)3.
005.
0015
.00
8.00
4.50
4.50
17.0
05.
002.
005.
0015
.00
15.0
062
.00
86Ve
llore
(Nor
th A
rcot
) (Ta
milna
du)
3.00
5.00
15.0
07.
754.
503.
0015
.25
5.00
3.00
5.00
20.0
015
.00
65.2
587
Vijay
wada
(And
hra
Prad
esh)
3.00
5.00
15.0
01.
001.
501.
504.
005.
001.
505.
0012
.50
10.0
041
.50
88Vi
shak
hapa
tnam
(And
hraP
rade
sh)
3.00
5.00
15.0
08.
001.
503.
0012
.50
5.00
3.00
5.00
20.0
010
.00
57.5
0
CEPI
(Wat
er E
nviro
nmen
t) = A
+ B
+ C
+ D
A (P
ollut
ant S
core
) = A
1 x A
2; w
here
, A1:
Pre
senc
e of
Toxin
; A2:
Sca
le of
indu
strial
acti
vities
B
(Pat
hway
Sco
re) =
B1
+ B2
+ B
3; w
here
, B1:
Poll
utan
t Con
cent
ratio
n B2
: Imp
act o
n pe
ople;
B3:
Impa
ct on
Eco
-geo
logica
l feat
ure
C (R
ecep
tor S
core
) = C
1 x C
2 +
C3; w
here
, C1:
Pot
entia
lly a
ffecte
d po
pulat
ion; C
2: L
evel
of e
xpos
ure;
C3:
Risk
to se
nsitiv
e re
cept
ors
D= A
dditio
nal H
igh R
isk E
lemen
t
Co m p re h e n s i ve E nv i ro n m e n t a l A s s e s s m e n t o f I n d u s t r i a l C l u s te r s
20
Tabl
e 7
belo
w s
how
s th
e C
EP
Is o
f va
riou
s In
du
stri
al a
reas
/ cl
ust
ers
for
Lan
d (
Soil
an
d G
rou
nd
wat
er)
Tabl
e 7 C
EPIs
of va
rious
Indu
stria
l are
as/ c
lust
ers f
or L
and
(Soi
l & G
roun
dwat
er)
No.
Indu
stria
l Clu
ster
/Are
aA1
A2A
B1B2
B3B
C1C2
C3C
DLA
ND C
EPI
1Ag
ra (U
ttar P
rade
sh)
5.50
2.50
13.7
57.
000.
000.
007.
005.
004.
755.
0028
.75
10.0
059
.50
2Ah
meda
bad
(Guja
rat)
3.00
5.00
15.0
08.
003.
003.
0014
.00
3.00
3.00
5.00
14.0
015
.00
58.0
03
Aliga
rh (U
ttar P
rade
sh)
2.00
2.50
5.00
8.00
3.00
3.00
14.0
03.
003.
005.
0014
.00
15.0
048
.00
4An
gul T
alche
r (Or
issa)
3.00
5.00
15.0
07.
750.
003.
0010
.75
5.00
4.00
5.00
25.0
015
.00
65.7
55
Ankle
shwa
r (Gu
jarat
)5.
755.
0028
.75
8.00
3.00
6.00
17.0
03.
005.
005.
0020
.00
10.0
075
.75
6As
anso
le (W
est B
enga
l)3.
002.
507.
502.
003.
003.
008.
003.
005.
005.
0020
.00
15.0
050
.50
7Au
rang
abad
(Mah
aras
htra
)5.
505.
0027
.50
7.00
3.00
3.00
13.0
03.
003.
005.
0014
.00
5.00
59.5
08
Bada
Jamt
ara
(Jha
rkha
nd)
3.00
5.00
15.0
01.
003.
004.
508.
503.
003.
005.
0014
.00
15.0
052
.50
9Ba
ddi (
Hima
chal
Prad
esh)
3.00
5.00
15.0
07.
500.
003.
0010
.50
3.00
3.00
5.00
14.0
015
.00
54.5
010
Bata
la (P
unjab
)3.
005.
0015
.00
6.00
1.50
3.00
10.5
03.
003.
005.
0014
.00
15.0
054
.50
11Bh
adra
vati (
Karn
atak
a)3.
005.
0015
.00
2.00
3.00
3.00
8.00
5.00
1.50
5.00
12.5
010
.00
45.5
012
Bhav
naga
r (Gu
jarat
)3.
005.
0015
.00
7.75
3.00
3.00
13.7
53.
003.
005.
0014
.00
15.0
057
.75
13Bh
illai-
Durg
(Chh
atisg
arh)
2.00
2.50
5.00
2.00
1.50
0.00
3.50
5.00
3.00
0.00
15.0
010
.00
33.5
014
Bhiw
adi (
Rajas
than
)3.
005.
0015
.00
7.00
3.00
4.50
14.5
05.
003.
000.
0015
.00
15.0
059
.50
15Bi
dar (
Karn
atak
a)3.
005.
0015
.00
2.00
1.50
1.50
5.00
3.00
3.00
5.00
14.0
010
.00
44.0
016
Bulan
dsah
ar-K
hurz
a (U
ttar P
rade
sh)
3.00
2.50
7.50
2.00
0.00
3.00
5.00
3.00
3.00
0.00
9.00
15.0
036
.50
17Bu
rniha
t (As
sam)
2.00
5.00
10.0
02.
001.
501.
505.
003.
001.
505.
009.
5010
.00
34.5
018
Chan
drap
ur (M
ahar
asht
ra)
3.00
5.00
15.0
04.
003.
004.
5011
.50
5.00
4.00
5.00
25.0
015
.00
66.5
019
Chem
bur (
Maha
rash
tra)
3.00
5.00
15.0
03.
001.
501.
506.
005.
002.
005.
0015
.00
10.0
046
.00
20Co
imba
tore
(Tam
il Nad
u)3.
005.
0015
.00
4.00
0.00
1.50
5.50
5.00
2.00
5.00
15.0
010
.00
45.5
021
Coch
in, G
reat
er (K
erala
)3.
005.
0015
.00
3.00
3.00
3.00
9.00
5.00
3.00
5.00
20.0
010
.00
54.0
0
Co m p re h e n s i ve E nv i ro n m e n t a l A s s e s s m e n t o f I n d u s t r i a l C l u s te r s
21
Cont
d...
Tabl
e 7 c
ontd
...No
.In
dust
rial C
lust
er/A
rea
A1A2
AB1
B2B3
BC1
C2C3
CD
LAND
CEP
I22
Cudd
alore
(Tam
ilnad
u)4.
005.
0020
.00
3.00
3.00
3.00
9.00
5.00
3.00
5.00
20.0
015
.00
64.0
023
Dewa
s (Ma
dhya
Pra
desh
)3.
002.
507.
503.
003.
003.
009.
005.
003.
005.
0020
.00
15.0
051
.50
24Dh
anba
d (J
hark
hand
)3.
005.
0015
.00
8.00
3.00
4.50
15.5
05.
003.
005.
0020
.00
15.0
065
.50
25Di
gboi
(Ass
am)
2.00
2.50
5.00
3.00
3.00
3.00
9.00
3.00
3.00
5.00
14.0
010
.00
38.0
026
Domb
ivalli
(Mah
aras
htra
)3.
005.
0015
.00
8.00
1.50
3.00
12.5
05.
003.
005.
0020
.00
10.0
057
.50
27Du
rgap
ur (W
est B
enga
l)2.
005.
0010
.00
4.50
1.50
1.50
7.50
5.00
3.00
5.00
20.0
010
.00
47.5
028
Erod
e (T
amil N
adu)
3.00
2.50
7.50
4.00
0.00
3.00
7.00
3.00
3.00
5.00
14.0
015
.00
43.5
029
Farid
abad
(Har
yana
)3.
005.
0015
.00
8.00
3.00
3.00
14.0
05.
004.
750.
0023
.75
10.0
062
.75
30Fe
roza
bad
(Utta
r Pra
desh
)3.
002.
507.
508.
000.
003.
0011
.00
3.00
4.75
0.00
14.2
515
.00
47.7
531
Ghaz
iabad
(Utta
r Pra
desh
)5.
755.
0028
.75
6.00
0.00
3.00
9.00
5.00
4.75
0.00
23.7
510
.00
71.5
032
Gwali
or (M
adhy
a Pr
ades
h)3.
002.
507.
508.
000.
003.
0011
.00
3.00
4.50
0.00
13.5
010
.00
42.0
033
Hajip
ur (B
ihar)
3.00
2.50
7.50
5.00
0.00
3.00
8.00
3.00
3.00
5.00
14.0
015
.00
44.5
034
Haldi
a (W
est B
enga
l)5.
505.
0027
.50
7.50
0.00
3.00
10.5
03.
003.
000.
009.
0010
.00
57.0
035
Harid
war (
Utta
rakh
and)
3.00
5.00
15.0
06.
000.
000.
006.
003.
003.
000.
009.
0010
.00
40.0
036
Howr
ah (W
est B
enga
l)3.
005.
0015
.00
8.00
1.50
1.50
11.0
05.
003.
505.
0022
.50
15.0
063
.50
37In
dore
(Mad
hya
Prad
esh)
2.00
2.50
5.00
6.00
3.00
3.00
12.0
05.
003.
005.
0020
.00
15.0
052
.00
38Ib
Vall
ey (O
rissa
)3.
005.
0015
.00
3.00
3.00
3.00
9.00
5.00
3.00
5.00
20.0
015
.00
59.0
039
Jaipu
r (Ra
jasth
an)
3.00
2.50
7.50
8.00
0.00
3.00
11.0
03.
004.
005.
0017
.00
15.0
050
.50
40Ja
landh
ar (P
unjab
)3.
005.
0015
.00
3.00
3.00
3.00
9.00
5.00
3.00
3.00
18.0
010
.00
52.0
041
Jams
hedp
ur (J
hark
hand
)3.
005.
0015
.00
3.00
0.00
0.00
3.00
3.00
3.00
5.00
14.0
010
.00
42.0
042
Jhar
sugu
da (O
rissa
)3.
005.
0015
.00
3.00
0.00
3.00
6.00
5.00
3.00
5.00
20.0
015
.00
56.0
043
Jodh
pur (
Rajas
than
)3.
005.
0015
.00
3.00
3.00
3.00
9.00
5.00
3.00
5.00
20.0
010
.00
54.0
044
Juna
garh
(Guja
rat)
3.00
5.00
15.0
08.
000.
003.
0011
.00
3.00
4.50
5.00
18.5
015
.00
59.5
045
Kala
Amb
(Him
acha
l Pra
desh
)3.
005.
0015
.00
6.00
0.00
3.00
9.00
3.00
4.00
0.00
12.0
015
.00
51.0
0
Co m p re h e n s i ve E nv i ro n m e n t a l A s s e s s m e n t o f I n d u s t r i a l C l u s te r s
22
Tabl
e 7 c
ontd
...No
.In
dust
rial C
lust
er/A
rea
A1A2
AB1
B2B3
BC1
C2C3
CD
LAND
CEP
I46
Kanp
ur (U
ttar P
rade
sh)
3.00
5.00
15.0
08.
000.
003.
0011
.00
5.00
3.00
0.00
15.0
015
.00
56.0
047
Kath
edan
(And
hra
Prad
esh)
3.00
2.50
7.50
8.00
0.00
0.00
8.00
3.00
5.00
0.00
15.0
015
.00
45.5
048
Korb
a (C
hhat
isgar
h)3.
005.
0015
.00
8.00
3.00
1.50
12.5
05.
005.
005.
0030
.00
15.0
072
.50
49Ku
katp
alli (
Andh
ra P
rade
sh)
3.00
2.50
7.50
7.50
0.00
3.00
10.5
03.
003.
500.
0010
.50
15.0
043
.50
50Lu
dhian
a (P
unjab
)5.
755.
0028
.75
8.00
0.00
3.00
11.0
05.
003.
000.
0015
.00
10.0
064
.75
51Ma
nali (
Tami
lnadu
)2.
005.
0010
.00
7.75
3.00
3.00
13.7
53.
004.
755.
0019
.25
15.0
058
.00
52Ma
ndi G
obind
Gar
h (P
unjab
)4.
005.
0020
.00
4.00
3.00
4.50
11.5
03.
003.
505.
0015
.50
15.0
062
.00
53Ma
ngalo
re (K
arna
taka
)3.
005.
0015
.00
3.00
3.00
3.00
9.00
5.00
3.00
5.00
20.0
010
.00
54.0
054
Math
ura
(Utta
r Pra
desh
)3.
005.
0015
.00
2.00
3.00
3.00
8.00
5.00
2.00
5.00
15.0
010
.00
48.0
055
Meer
ut (U
ttar P
rade
sh)
3.00
2.50
7.50
4.00
1.50
1.50
7.00
5.00
2.00
5.00
15.0
010
.00
39.5
056
Mettu
r (Ta
milna
du)
3.00
5.00
15.0
01.
003.
003.
007.
003.
001.
505.
009.
5015
.00
46.5
057
Mora
daba
d (U
ttar P
rade
sh)
2.00
5.00
10.0
03.
003.
001.
507.
505.
003.
005.
0020
.00
10.0
047
.50
58Na
gda
-Rat
lam (M
adhy
a Pr
ades
h)4.
005.
0020
.00
6.00
3.00
3.00
12.0
03.
003.
005.
0014
.00
10.0
056
.00
59Na
shik
(Mah
aras
htra
)3.
005.
0015
.00
7.75
0.00
0.00
7.75
5.00
3.50
0.00
17.5
010
.00
50.2
560
Navi
Mumb
ai (M
ahar
asht
ra)
3.00
5.00
15.0
06.
001.
503.
0010
.50
5.00
3.00
5.00
20.0
010
.00
55.5
061
Naza
fgar
h dr
ain b
asin
(inclu
ding A
nand
Pa
rvat
, Nar
aina,
Okh
la an
d W
azirp
ur),
Delhi
3.00
5.00
15.0
07.
753.
004.
5015
.25
5.00
3.00
5.00
20.0
015
.00
65.2
5
62No
ida (U
ttar P
rade
sh)
3.00
5.00
15.0
07.
000.
003.
0010
.00
3.00
5.00
5.00
20.0
015
.00
60.0
063
Pali (
Rajas
than
)2.
005.
0010
.00
6.00
3.00
3.00
12.0
05.
003.
000.
0015
.00
15.0
052
.00
64Pa
nipat
(Har
yana
)3.
005.
0015
.00
8.00
3.00
3.00
14.0
05.
003.
005.
0020
.00
10.0
059
.00
65Pa
rade
ep (O
rissa
)3.
005.
0015
.00
2.00
3.00
3.00
8.00
5.00
2.00
5.00
15.0
010
.00
48.0
066
Parw
anoo
(Him
acha
l Pra
desh
)3.
005.
0015
.00
3.00
3.00
3.00
9.00
1.50
3.00
5.00
9.50
15.0
048
.50
67Pa
tanc
heru
- -Bo
llara
m (A
ndhr
a Pr
ades
h)2.
005.
0010
.00
8.00
3.00
3.00
14.0
05.
003.
005.
0020
.00
10.0
054
.00
68Pi
mpar
i-Chin
chwa
d (M
ahar
asht
ra)
3.00
5.00
15.0
06.
000.
003.
009.
003.
004.
000.
0012
.00
10.0
046
.00
Co m p re h e n s i ve E nv i ro n m e n t a l A s s e s s m e n t o f I n d u s t r i a l C l u s te r s
23
Tabl
e 7 c
ontd
...No
.In
dust
rial C
lust
er/A
rea
A1A2
AB1
B2B3
BC1
C2C3
CD
LAND
CEP
I69
Pinia
(Kar
nata
ka)
3.00
5.00
15.0
02.
000.
003.
005.
003.
004.
000.
0012
.00
10.0
042
.00
70Pi
tamp
ur (M
adhy
a Pr
ades
h)5.
505.
0027
.50
4.00
0.00
0.00
4.00
3.00
3.00
0.00
9.00
10.0
050
.50
71Ra
ichur
(Kar
nata
ka)
3.00
2.50
7.50
6.00
3.00
3.00
12.0
05.
003.
000.
0015
.00
10.0
044
.50
72Ra
ipur (
Chha
tisga
rh)
2.00
5.00
10.0
03.
003.
003.
009.
005.
003.
005.
0020
.00
10.0
049
.00
73Ra
jkot (
Gujar
at)
3.00
2.50
7.50
7.00
3.00
3.00
13.0
05.
003.
005.
0020
.00
15.0
055
.50
74Ra
mgar
h (J
hark
hand
)3.
005.
0015
.00
6.00
1.50
3.00
10.5
03.
003.
005.
0014
.00
15.0
054
.50
75Sa
raike
la (J
hark
hand
)3.
005.
0015
.00
3.00
3.00
3.00
9.00
5.00
2.00
5.00
15.0
015
.00
54.0
076
Sing
hbhu
m, W
est (
Biha
r)3.
005.
0015
.00
2.00
1.50
3.00
6.50
5.00
3.00
5.00
20.0
010
.00
51.5
077
Sing
rauli
(Utta
r Pra
desh
)3.
005.
0015
.00
2.00
3.00
4.50
9.50
5.00
3.00
5.00
20.0
015
.00
59.5
078
Sura
t (Gu
jarat
)3.
002.
507.
508.
000.
000.
008.
003.
005.
000.
0015
.00
15.0
045
.50
79Ta
rapu
r (Ma
hara
shtra
)3.
005.
0015
.00
7.75
3.00
3.00
13.7
55.
001.
500.
007.
5015
.00
51.2
580
Tirup
ur (T
amil N
adu)
3.00
5.00
15.0
05.
000.
003.
008.
003.
005.
005.
0020
.00
10.0
053
.00
81Ud
hams
ingh
Naga
r (Ut
tara
khan
d)5.
502.
5013
.75
7.00
0.00
0.00
7.00
3.00
4.50
0.00
13.5
010
.00
44.2
582
Vado
dara
(Guja
rat)
3.00
5.00
15.0
06.
000.
003.
009.
003.
003.
000.
009.
0015
.00
48.0
083
Vapi
(Guja
rat)
4.00
5.00
20.0
08.
003.
006.
0017
.00
5.00
5.00
0.00
25.0
010
.00
72.0
084
Vara
nsi-M
irzap
ur (U
ttar P
rade
sh)
5.50
5.00
27.5
07.
000.
000.
007.
003.
003.
000.
009.
0010
.00
53.5
085
Vatva
(Guja
rat)
3.00
5.00
15.0
03.
000.
003.
006.
005.
003.
005.
0020
.00
15.0
056
.00
86Ve
llore
(Nor
th A
rcot
) (Ta
milna
du)
3.00
5.00
15.0
04.
003.
003.
0010
.00
5.00
3.50
5.00
22.5
015
.00
62.5
087
Vijay
wada
(And
hra
Prad
esh)
3.00
5.00
15.0
01.
003.
001.
505.
505.
001.
505.
0012
.50
10.0
043
.00
88Vi
shak
hapa
tnam
(And
hraP
rade
sh)
3.00
5.00
15.0
06.
003.
003.
0012
.00
5.00
3.00
3.00
18.0
010
.00
55.0
0
CEPI
(Soil
Env
ironm
ent)
= A +
B +
C +
DA
(Poll
utan
t Sco
re) =
A1
x A2;
whe
re, A
1: P
rese
nce
of To
xin; A
2: S
cale
of in
dustr
ial a
ctivit
ies
B (P
athw
ay S
core
) = B
1 +
B2 +
B3;
whe
re, B
1: P
ollut
ant C
once
ntra
tion
B2: I
mpac
t on
peop
le; B
3: Im
pact
on E
co-g
eolog
ical fe
atur
e C
(Rec
epto
r Sco
re) =
C1
x C2
+ C3
; whe
re, C
1: P
oten
tially
affe
cted
popu
lation
; C2:
Lev
el of
exp
osur
e; C
3: R
isk to
sens
itive
rece
ptor
s D=
Add
itiona
l High
Risk
Elem
ent
Co m p re h e n s i ve E nv i ro n m e n t a l A s s e s s m e n t o f I n d u s t r i a l C l u s te r s
24
Table 8 The CEPI scores for industrial areas/ clusters descending orderNo. Industrial Cluster/Area AIR WATER LAND CEPI1. Ankleshwar (Gujarat) 72.00 72.75 75.75 88.50 Ac_Wc_Lc2. Vapi (Gujarat) 74.00 74.50 72.00 88.09 Ac_Wc_Lc3. Ghaziabad (Uttar Pradesh) 68.50 75.25 71.50 87.37 Ac_Wc_Lc4. Chandrapur (Maharashtra) 70.75 67.50 66.50 83.88 Ac_Wc_Lc5. Korba (Chhatisgarh) 67.00 57.00 72.50 83.00 Ac_Ws_Lc6. Bhiwadi (Rajasthan) 71.00 69.00 59.50 82.91 Ac_Wc_Ls7. Angul Talcher (Orissa) 64.00 69.00 65.75 82.09 Ac_Wc_Lc8. Vellore (North Arcot) (Tamilnadu) 69.25 65.25 62.50 81.79 Ac_Wc_Lc9. Singrauli (Uttar Pradesh) 70.50 64.00 59.50 81.73 Ac_Wc_Ls10. Ludhiana (Punjab) 68.00 66.00 64.75 81.66 Ac_Wc_Lc11. Nazafgarh drain basin (including Anand
Parvat, Naraina, Okhla and Wazirpur), Delhi52.13 69.00 65.25 79.54 As_Wc_Lc
12. Noida (Uttar Pradesh) 65.75 64.00 60.00 78.90 Ac_Wc_Lc13. Dhanbad (Jharkhand) 64.50 59.00 65.50 78.63 Ac_Ws_Lc14. Dombivalli (Maharashtra) 66.00 63.50 57.50 78.41 Ac_Wc_Ls15. Kanpur (Uttar Pradesh) 66.00 63.50 56.00 78.09 Ac_Wc_Ls16. Cuddalore (Tamilnadu) 54.00 65.25 64.00 77.45 As_Wc_Lc17. Aurangabad (Maharashtra) 64.75 60.50 59.50 77.44 Ac_Wc_Ls18. Faridabad (Haryana) 63.50 59.00 62.75 77.07 Ac_Ws_Lc19. Agra (Uttar Pradesh) 59.00 63.75 59.50 76.48 As_Wc_Ls20. Manali (Tamilnadu) 64.00 59.00 58.00 76.32 Ac_Ws_Ls21. Haldia (West Bengal) 53.75 64.50 57.00 75.43 As_Wc_Ls22. Ahmedabad (Gujarat) 62.75 58.00 58.00 75.28 Ac_Ws_Ls23. Jodhpur (Rajasthan) 52.00 65.50 54.00 75.19 As_Wc_Ls24. Cochin, Greater (Kerala) 57.00 64.00 54.00 75.08 As_Wc_Ls25. Mandi Gobind Garh (Punjab) 62.00 55.50 62.00 75.08 Ac_Ws_Lc26. Howrah (West Bengal) 57.00 54.50 63.50 74.84 As_Ws_Lc27. Vatva (Gujarat) 60.00 62.00 56.00 74.77 Ac_Wc_Ls28. Ib Valley (Orissa) 61.00 56.50 59.00 74.00 Ac_Ws_Ls
Contd...
Table 8 below shows the CEPI scores for industrial areas/ clusters descending order. The overall CEPI is presented in the alpha-numeric form stating the score along with the status of Air, Water and Land environment in terms of subscript as critical/ severe/ normal. A sub-index score of more than 60 shows a critical level of pollution in the respective environmental component, whereas a score between 50–60 shows a severe level of pollution with reference to the respective environmental component.
Co m p re h e n s i ve E nv i ro n m e n t a l A s s e s s m e n t o f I n d u s t r i a l C l u s te r s
25
Table 8 contd...No. Industrial Cluster/Area AIR WATER LAND CEPI29. Varansi-Mirzapur (Uttar Pradesh) 58.00 62.00 53.50 73.79 As_Wc_Ls30. Navi Mumbai (Maharashtra) 61.00 59.00 55.50 73.77 Ac_Ws_Ls31. Pali (Rajasthan) 52.00 64.00 52.00 73.73 As_Wc_Ls32. Mangalore (Karnataka) 61.75 57.75 54.00 73.68 Ac_Ws_Ls33. Jharsuguda (Orissa) 61.00 56.50 56.00 73.34 Ac_Ws_Ls34. Coimbatore (Tamil Nadu) 62.25 58.75 45.50 72.38 Ac_Ws_Ln35. Bhadravati (Karnataka) 62.75 56.50 45.50 72.33 Ac_Ws_Ln36. Tarapur (Maharashtra) 60.75 56.00 51.25 72.01 Ac_Ws_Ls37. Panipat (Haryana) 55.75 56.50 59.00 71.91 As_Ws_Ls38. Indore (Madhya Pradesh) 59.00 57.50 52.00 71.26 As_Ws_Ls39. Bhavnagar (Gujarat) 54.50 57.50 57.75 70.99 As_Ws_Ls40. Vishakhapatnam (AndhraPradesh) 57.00 57.50 55.00 70.82 As_Ws_Ls41. Junagarh (Gujarat) 53.25 52.50 59.50 70.82 As_Ws_Ls42. Asansole (West Bengal) 58.38 56.25 50.50 70.20 As_Ws_Ls43. Patancheru- -Bollaram (Andhra Pradesh) 50.00 59.00 54.00 70.07 As_Ws_Ls44. Paradeep (Orissa) 54.00 58.50 48.00 69.26 As_Ws_Ln45. Nashik (Maharashtra) 55.00 57.50 50.25 69.25 As_Ws_Ls46. Chembur (Maharashtra) 59.75 50.75 46.00 69.19 As_Ws_Ln47. Baddi (Himachal Pradesh) 56.00 54.50 54.50 69.07 As_Ws_Ls48. Kala Amb (Himachal Pradesh) 56.75 54.50 51.00 68.77 As_Ws_Ls49. Dewas (Madhya Pradesh) 51.50 57.50 51.50 68.77 As_Ws_Ls50. Batala (Punjab) 51.00 56.50 54.50 68.59 As_Ws_Ls51. Tirupur (Tamil Nadu) 56.75 50.75 53.00 68.38 As_Ws_Ls52. Durgapur (West Bengal) 49.50 58.50 47.50 68.26 An_Ws_Ln53. Raichur (Karnataka) 59.75 46.50 44.50 68.07 As_Wn_Ln54. Bidar (Karnataka) 58.75 49.00 44.00 67.64 As_Wn_Ln55. Singhbhum, West (Bihar) 55.50 51.50 51.50 67.30 As_Ws_Ls56. Mettur (Tamilnadu) 46.00 58.00 46.50 66.98 An_Ws_Ln57. Vadodara (Gujarat) 57.00 48.00 48.00 66.91 As_Wn_Ln58. Jaipur (Rajasthan) 55.00 52.00 50.50 66.82 As_Ws_Ls59. Rajkot (Gujarat) 45.50 54.50 55.50 66.76 An_Ws_Ls60. Nagda -Ratlam (Madhya Pradesh) 44.50 54.50 56.00 66.67 An_Ws_Ls61. Jamshedpur (Jharkhand) 55.75 55.50 42.00 66.06 As_Ws_Ln62. Pimpari-Chinchwad (Maharashtra) 55.25 52.50 46.00 66.06 As_Ws_Ln
Contd...
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Table 8 contd...No. Industrial Cluster/Area AIR WATER LAND CEPI63. Raipur (Chhatisgarh) 56.50 42.00 49.00 65.45 As_Wn_Ln64. Saraikela (Jharkhand) 50.50 49.00 54.00 65.38 As_Wn_Ls65. Ramgarh (Jharkhand) 44.00 53.00 54.50 65.11 An_Ws_Ls66. Pinia (Karnataka) 56.75 46.00 42.00 65.11 As_Wn_Ln67. Pitampur (Madhya Pradesh) 47.75 54.00 50.50 65.09 An_Ws_Ls68. Jalandhar (Punjab) 52.00 52.00 52.00 64.98 As_Ws_Ls69. Moradabad (Uttar Pradesh) 54.00 49.00 47.50 64.71 As_Wn_Ln70. Bada Jamtara (Jharkhand) 48.00 52.50 52.50 64.47 An_Ws_Ls71. Aligarh (Uttar Pradesh) 53.00 48.00 48.00 63.83 As_Wn_Ln72. Parwanoo (Himachal Pradesh) 53.00 47.50 48.50 63.83 As_Wn_Ln73. Haridwar (Uttarakhand) 51.75 48.00 40.00 61.01 As_Wn_Ln74. Vijaywada (Andhra Pradesh) 52.00 41.50 43.00 60.57 As_Wn_Ln75. Ferozabad (Uttar Pradesh) 49.00 47.00 47.75 60.51 An_Wn_Ln76. Mathura (Uttar Pradesh) 48.00 48.00 48.00 59.98 An_Wn_Ln77. Meerut (Uttar Pradesh) 50.00 47.50 39.50 59.38 As_Wn_Ln78. Erode (Tamil Nadu) 47.38 47.25 43.50 58.19 An_Wn_Ln79. Surat (Gujarat) 46.00 46.75 45.50 57.90 An_Wn_Ln80. Kathedan (Andhra Pradesh) 44.50 47.00 45.50 57.73 An_Wn_Ln81. Kukatpalli (Andhra Pradesh) 41.50 47.00 43.50 56.56 An_Wn_Ln82. Hajipur (Bihar) 43.50 44.00 44.50 55.12 An_Wn_Ln83. Gwalior (Madhya Pradesh) 45.88 38.50 42.00 54.63 An_Wn_Ln84. Udhamsingh Nagar (Uttarakhand) 44.00 41.25 44.25 54.37 An_Wn_Ln85. Bhillai- Durg (Chhatisgarh) 44.00 35.00 33.50 50.57 An_Wn_Ln86. Bulandsahar-Khurza (Uttar Pradesh) 42.00 33.50 36.50 49.09 An_Wn_Ln87. Burnihat (Assam) 39.00 34.50 34.50 46.26 An_Wn_Ln88. Digboi (Assam) 32.00 32.75 38.00 44.55 An_Wn_Ln
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50–60 (10)
<50 (3)
>80 (10)
70–80 (33)
60–70 (32)
50–60 (41)
40–50 (18) >70 (4)
<40 (5)
40–50 (27)
60–70 (11)
50–60 (41)60–70 (22)
<40 (2)
>70 (5)
Distribution of CEPI Score
Distribution of Air CEPI Score Distribution of Land (Soil and ground water) CEPI Score
Distribution of Water CEPI Score Distribution of Maximum CEPI Score Air/Water/Land
40–50 (20)
40–50 (11)
>70 (7)
60–70 (29)
50–60 (39)
<40 (2)
<40 (5)
>70 (3)60–70 (19)
50–60 (41)
28
Chapter 2Summary and conclusions
The present CEPI is intended to act as an early warning tool, which is easy and quick to use. It can help in categorizing the industrial clusters/ areas in terms of priority of needing attention. The analysis shows that there are 43 industrial areas/clusters out of the 88 are found to be critically polluted, with respect to one or more environmental component.
It is suggested that areas having aggregated CEPI scores of 70 and above should be considered as critically polluted industrial clusters/ areas, whereas the areas having CEPI between 60-70 should be considered as severely polluted areas and shall be kept under surveillance and pollution control measures should be effi ciently implemented, whereas, the critically polluted industrial clusters/ areas need further detailed investigations in terms of the extent of damage and an formulation of appropriate remedial action plan.
It is recommended that as the step II a comprehensive analysis of spatial and temporal data shall be done for the identifi ed critical polluted industrial clusters/ areas so as to defi ne the spatial boundaries and extent of damage to the eco-geological features. The outcome shall be subjected to structured consultation with the stakeholders for determining comparative effectiveness of alternative plans and policies. The effective implementation of the remedial action plan will help in abatement of pollution and to restore the environmental quality of these industrial clusters.
Further, it is to be noted that although efforts have been made to perfect the process of CEPI application to industrial clusters/ areas, there are still some aspects that need to be improved upon including, consistency in pollution monitoring data (parameters and frequency) available with the pollution control authorities; selection of sampling locations for the environmental monitoring; and collection of data on adverse impact on human population and other geo-ecological features due to industrial pollution. The process of evolution of the method and the mechanisms that yielded results are dynamic in nature. Improvements and alterations towards making it more effi cient shall be a continuous task.
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Published by: J S Kamyotra, Member Secretary, Central Pollution Control Board, Delhi – 110 032 at ENVIS Centre - 01
Printed by: TERI Press, The Energy and Resources Institute, IHC Comlex, Lodhi Road, New Delhi – 110 003