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Spatial modelling approach to water pollution monitoring in the sugar belt of Maharashtra along the Krishna river
Acknowledgements
I am thankful to the Director, Indira Gandhi Institute of Development Research (IGIDR), Mumbai and United Nations Development Programme (UNDP), New Delhi for providing me research scientist fellowship under UNDP's research project on Rio Earth Summit. My discussion with the director was useful during the analysis stage of this work.
Figures:
 Framework for Monitoring River Basin
 BOD & COD Load at stationa 1194 Figure 2a
 BOD & COD Load at stationa 36 (Figure 2b)
 BOD & COD Load at stationa 37 (Figure 2c)
 Mean BOD & COD Load for Station - Sangli Stretch (Figure 2d)
 Figure 3a
 Figure 3b
 Figure 3c
 Figure 3d
 Figure 4 - 5
 Figure 6
 Figure 7
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Table 1 Intensity of Cultivation
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|
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Net sown area as % of cultivable land
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Avg. No. of crops, vig Gross Area over Net Sown Area
|
% of sown area having some sort of irrigation
|
Supported rural population persons/ hectare Sown area
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Supported rural population persons/ hectare area
|
|
Satara
|
86
|
1.10
|
16.9
|
3.0
|
2.7
|
|
Sangli
|
83
|
1.10
|
11.1
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2.5
|
2.3
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Table 2 Annual Fertilizer (N, P, K) Consumption (Tonnes/ Year) |
|
Distt. |
1980 |
1981 |
1982 |
1983 |
1984 |
1985 |
1986 |
1987 |
1988 |
1989 |
1990 |
1991 |
1992 |
1993 |
1994 |
1995
|
|
Satara |
19107
|
20070 |
12731 |
23462 |
28594 |
32745 |
34985 |
43040 |
53040 |
59353 |
56521 |
63098 |
63098 |
45075 |
59112 |
50390 |
|
Sangli |
17688
|
18690 |
15894 |
20520 |
28912 |
27823 |
23131 |
23248 |
36925 |
47305 |
74691 |
81472 |
81472 |
54377 |
80134 |
83193 |
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Fertiliser and Allied Agricultural Statistics Year Book, Govt. of India, New Delhi |
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Table 3 Population Exposure to Pollution (Tonnes/Year) at Stretch-I
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| |
Population*
at Risk |
Year |
BOD |
COD |
Nitrogen |
Chlorine |
Sulphate |
Sodium |
Calcium |
Magnesium |
TKN |
| |
|
1990 |
81 |
353 |
14 |
585 |
2826 |
338 |
802 |
628 |
12 |
| |
|
1991 |
63 |
469 |
21 |
689 |
361 |
303 |
328 |
76 |
10 |
| |
|
1992 |
129 |
606 |
4 |
1602 |
901 |
787 |
724 |
1279 |
19 |
|
SW1 |
3.990 |
1993 |
146 |
595 |
19 |
759 |
489 |
2162 |
600 |
381 |
14 |
| |
|
1994 |
120 |
616 |
21 |
643 |
202 |
172 |
742 |
86 |
8 |
| |
|
1995 |
129 |
570 |
29 |
|
|
353 |
530 |
257 |
|
| |
|
1996 |
227 |
1009 |
74 |
|
|
512 |
959 |
454 |
|
| |
|
1997 |
227 |
656 |
15 |
|
8628 |
883 |
1425 |
838 |
|
| |
|
1984 |
3201 |
21318 |
84 |
12163 |
2561 |
3201 |
3841 |
7682 |
383 |
| |
|
1985 |
3713 |
17733 |
111 |
19205 |
14084 |
15364 |
3841 |
4481 |
549 |
| |
|
1986 |
6082 |
26440 |
146 |
57360 |
38539 |
14724 |
25671 |
3841 |
448 |
| |
|
1987 |
3073 |
17925 |
430 |
19205 |
10883 |
15364 |
17925 |
52495 |
661 |
| |
|
1988 |
2241 |
14724 |
382 |
49934 |
30088 |
28168 |
26886 |
108191 |
483 |
| |
|
1989 |
3201 |
12612 |
177 |
36490 |
42252 |
17925 |
28168 |
61457 |
475 |
| |
|
1990 |
2561 |
9987 |
346 |
66259 |
25287 |
19461 |
28744 |
27080 |
427 |
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SW2 |
8.265 |
1991 |
2433 |
17925 |
492 |
43916 |
25991 |
29448 |
10435 |
7682 |
330 |
| |
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1992 |
3745 |
13444 |
213 |
23367 |
11203 |
15044 |
14084 |
24647 |
384 |
| |
|
1993 |
4417 |
14468 |
490 |
51791 |
10819 |
14724 |
17157 |
12899 |
314 |
| |
|
1994 |
2881 |
14916 |
549 |
17029 |
4673 |
6133 |
18693 |
8642 |
256 |
| |
|
1995 |
3521 |
13700 |
1070 |
|
|
9603 |
16389 |
11395 |
|
| |
|
1996 |
3540 |
16197 |
565 |
|
|
2772 |
7234 |
2305 |
|
| |
|
1997 |
6184 |
17029 |
598 |
|
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41612 |
29660 |
16197 |
|
| |
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1987 |
5994 |
41120 |
1009 |
71088 |
71088 |
52968 |
39029 |
185387 |
1673 |
| |
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1988 |
5436 |
58768 |
542 |
80846 |
75270 |
75270 |
61331 |
224416 |
1153 |
| |
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1989 |
4739 |
25090 |
315 |
82240 |
103148 |
39029 |
54362 |
185388 |
1065 |
| |
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1990 |
5018 |
20351 |
691 |
85724 |
75410 |
36938 |
53247 |
58125 |
963 |
|
SW3 |
19.804 |
1991 |
4962 |
24114 |
1193 |
64955 |
31084 |
67743 |
32059 |
21745 |
743 |
| |
|
1992 |
9339 |
33453 |
3793 |
109002 |
133395 |
92973 |
51156 |
58543 |
1004 |
| |
|
1993 |
9339 |
33453 |
2927 |
66767 |
70949 |
32617 |
47253 |
42374 |
765 |
| |
|
1994 |
7527 |
29272 |
906 |
45301 |
478802 |
18260 |
64537 |
32338 |
418 |
| |
|
1995 |
9618 |
40702 |
2821 |
|
|
58822 |
58543 |
36381 |
|
| |
|
1996 |
8503 |
38053 |
2566 |
|
|
93112 |
69137 |
52689 |
|
| |
|
1997 |
13242 |
33453 |
2174 |
|
|
80149 |
50180 |
20211 |
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| * Population (in lakhs) as per 1991 census, SW1, SW2, SW3 are subwatersheds |
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Table 4 Pollution Load (Tonnes/Year*) from Industry in 1996-1997
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Industry
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Total Water Consumption (MCM/Yr)
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Total Waste Generated (MCM/Yr)
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Total Waste (MCM/Yr)
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Total Load ** Generated
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Pollution Load Discharged from Source to River
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Treated
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Untreated
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Treated
Source
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Untreated
Source
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Total
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Sugar
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3.917
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3.604
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2.521
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1.083
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16218.90
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2601.18
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4873.40
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7474.58
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Others
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5.307
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3.671
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3.224
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0.447
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42128.97
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1171.49
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1578.81
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2750.30
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Source : MPCBs Annual Report, Mumbai Others : Distillery, Paper,
Engineering, Textile, Chemical, Food, Steel, Oil and Dairy
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Table 5 Estimated Total Pollution Load (Tonnes/Year) From Sources
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Source
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Nature of
Pollutants
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Satara
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Sangli
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Total for the
Stretch
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Agriculture
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N, P, K, and Pesticides
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2162500000
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2277300000
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4439800000
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Domestic
|
BOD
|
155505
|
15772
|
31277
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Sugar
|
BOD, COD
|
18225
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21276
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39501
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Others
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BOD, COD
|
20998
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12599
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33597
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Table 6 Pollutant Balance (Tonnes/ Year)
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Source
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Nature of
Pollutants
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Subwatersheds
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Total for the Stretch
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SW1
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SW2
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SW3
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Agricul-ture
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N, P, K & Pesticides
|
579447860
|
1204791570
|
2655560570
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4439800000
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Domestic
|
BOD
|
3893
|
8063
|
19321
|
31277
|
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Sugar
|
BOD, COD
|
6561
|
11664
|
21276
|
39501
|
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Others
|
BOD, COD
|
3294
|
13175
|
17128
|
33597
|
|
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Total Addition
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579461607
|
1204824473
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2655618295
|
4439904375
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Total Assimilation
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115892321
|
240964895
|
531123659
|
887980875
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|
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Net Addition
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463569286
|
963859578
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2124494636
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3551923500
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|
Addition from Upper Subwatershed
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0
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463569286
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963859578
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