| Literature DB >> 32758842 |
Venkatesh Dutta1, Divya Dubey2, Saroj Kumar2.
Abstract
Clean rivers and healthy aquatic life symbolize that the ecosystem is functioning well. The Ganga River has shown signs of rejuvenation and a significant improvement on many parameters, following the eight-week nationwide lockdown due to coronavirus pandemic. Since industrial units and commercial establishments were closed, water was not being lifted by them with a negligible discharge of industrial wastewater. It was observed that during the lockdown period most of the districts falling under the Ganga basin observed 60% excess rainfall than the normal, which led to increased discharge in the river, further contributing towards the dilution of pollutants. Further, data analysis of live storages in the Ganga Basin revealed that the storage during the beginning of the third phase of lockdown was almost double than the storage during the same period the previous year. Analysis of the storage data of the last ten years revealed that the storage till May 6, 2020 was 82.83% more than the average of the previous ten years, which meant that more water was available for the river during the lockdown period. The impact could be seen in terms of increased dissolved oxygen (DO) and reduced biological oxygen demand (BOD), Faecal coliform, Total coliform and nitrate (NO3-) concentration. A declining trend in nitrate concentration was observed in most of the locations due to limited industrial activities and reduction in agricultural run-off due to harvesting season. The gradual transformation in the quality of the water has given a sign of optimism from the point of restoration. Yet, it is believed that this improvement in water quality is 'short-lived' and quality would deteriorate once the normal industrial activities are resumed, indicating a strong influence of untreated commercial-industrial wastewater. The paper concludes that the river can be rejuvenated if issues of wastewater and adequate flow releases are addressed.Entities:
Keywords: Ganga; India; Lockdown; Municipal sewage; Water quality
Year: 2020 PMID: 32758842 PMCID: PMC7351670 DOI: 10.1016/j.scitotenv.2020.140756
Source DB: PubMed Journal: Sci Total Environ ISSN: 0048-9697 Impact factor: 7.963
Fig. 1The course of Ganga River in India along with its major tributaries.
Fig. 2Three major segments of the Ganga Basin.
Data points and major parameters used in the study.
| Data points and period | Major parameter(s) | Data source | Purpose |
|---|---|---|---|
| Historical data of water quality of Ganga River (2017–2019) | DO, BOD, nitrate, ammoniacal nitrogen | Central Pollution Control Board (CPCB), New Delhi; Uttarakhand Pollution Control Board; Delhi Pollution Control Committee | Long-term quality profile of various stretches |
| Water quality observed during the lockdown period (March–May 2020) | DO, BOD, nitrate, ammoniacal nitrogen, Faecal coliform, Total coliform | Real-Time Water Quality Monitoring Station (RTWQMS), CPCB, Uttar Pradesh Pollution Control Board | To develop a better understanding of the transformation in the quality of water in Ganga during the lockdown period |
| Rainfall in Ganga Basin (January to May 2020) | Daily rainfall | Hydromet Division, India Meteorological Department, New Delhi | To estimate the long-term departure from the normal rainfall in the Ganga Basin during the lockdown |
| Basin storage (2011–May 2020) | Weekly storages | Central Water Commission (CWC) | Data of the last ten years compared with the storage during the lockdown period |
Fig. 3Dams, barrages and hydro-electric plants on Ganga upstream of Kanpur.
Mandated e-flow notified for Upper Ganga River Basin starting from originating glaciers and through respective confluences finally meeting at Devprayag up to Haridwar.
| Season | Months | (%) Percentage of monthly average flow observed during each of preceding 10-daily period |
|---|---|---|
| Dry | November to March | 20 |
| Lean | October, April and May | 25 |
| High flow | June to September | 30 (i.e. 30% of monthly flow of high flow season) |
Mandated e-flow notified for the main stem of Ganga River from Haridwar, Uttarakhand to Unnao, Uttar Pradesh.
| Location of barrage | Minimum flow releases immediately downstream of barrages ( | |
|---|---|---|
| Non-monsoon (October to May) | Monsoon (June to September) | |
| Bhimgoda (Haridwar) | 36 | 57 |
| Bijnor | 24 | 48 |
| Narora | 24 | 48 |
| Kanpur | 24 | 48 |
Fig. 4Minimum e-flow profile of river Ganga at Rishikesh as per the CWC (2020) status report, the low flow allocation is ‘residual’ and will not support a healthy ecosystem.
Fig. 5Status of existing sewage generation and treatment capacity in 97 towns along the main stem of the Ganga River.
Fig. 6Improvement in the water quality in the Ganga River upstream of Kanpur, stretch up to Haridwar was fit for dirking after disinfection (Class A) whereas water downstream of Haridwar was fit for outdoor bathing (Class B).
Fig. 7Trend in the observed DO (mg/L) values in the main stem of the Ganga River during 2019 (pre-lockdown) and 2020 (lockdown), showing increase in DO during the lockdown period.
Fig. 8Trend in the observed BOD (mg/L) values in the main stem of the Ganga River.
Fig. 9Comparative assessment of BOD (mg/L) of Ganga River during 2019 (pre-lockdown) and 2020 (lockdown), showing decrease in BOD during the lockdown period, except two stations.
Fig. 10Trend in the observed COD (mg/L) values in the main stem of the Ganga River.
Fig. 11Trend in the observed values of Nitrate (NO3-) in the main stem of the Ganga River.
Fig. 12Trend in the observed values of Ammoniacal nitrogen (NH3−N) in the main stem of the Ganga River.
Comparative assessment of Total coliform (MPN/100 mL) and Faecal coliform (MPN/100 mL) in the main stem of the Ganga River during 2019 (pre-lockdown) and 2020 (lockdown period), (mean ± SD).
| Total coliform (MPN/100 mL) | Faecal coliform (MPN/100 mL) | |||
|---|---|---|---|---|
| Pre-lockdown | Lockdown period average | Pre-lockdown | Lockdown period average | |
| Bijnore | NA | NA | NA | NA |
| Anupshahar (u/s) | 540 ± 10 | NA | 233 ± 15 | NA |
| Anupshahar (d/s) | 423 ± 12 | NA | 220 ± 10 | NA |
| Farrukabad | 2333 ± 208 | 2333 ± 709 | 1400 ± 0 | 1087 ± 363 |
| Kannauj (u/s) | 4000 ± 100 | 3700 ± 346 | 2567 ± 115 | 1600 ± 173 |
| Kannauj (d/s) | 4700 ± 100 | 4500 ± 346 | 3033 ± 306 | 2367 ± 252 |
| Bithur | 3500 ± 265 | 4067 ± 252 | 2100 ± 100 | 1733 ± 58 |
| Kanpur (u/s barrage) | 3667 ± 416 | 4700 ± 346 | 2233 ± 252 | 2100 ± 100 |
| Kanpur (u/s) | 4167 ± 231 | 4333 ± 493 | 2667 ± 378 | 1900 ± 436 |
| Kanpur (bridge 1) | 8733 ± 577 | 23,467 ± 20,510 | 4800 ± 557 | 11,667 ± 12,419 |
| Allahabad (Sirsa) | 16,333 ± 1155 | 2567 ± 666 | 8033 ± 1168 | 1033 ± 584 |
| Varanasi (Rajwari) | 15,000 ± 1732 | 11,333 ± 3786 | 9000 ± 1732 | 5433 ± 2380 |
| Murshidabad (Behrampore) | 210,000 ± 134,907 | 6500 ± 5815 | 154,167 ± 91,892 | 3283 ± 3961 |
| Murshidabad (Gorabazar) | 198,333 ± 81,342 | 15,167 ± 17,821 | 141,667 ± 56,006 | 8167 ± 11,209 |
| Murshidabad (Khagra) | 210,833 ± 106,038 | 32,600 ± 69,316 | 85,892 ± 85,892 | 26,617 ± 57,185 |
| Howrah bridge | 73,417 ± 45,280 | 50,000 ± 20,000 | 38,752 ± 38,752 | 21,667 ± 4509 |
NA: data not available.
Fig. 13BOD and COD values (mg/L) of River Yamuna in Delhi in April 2019 and 2020.
Average concentration of contaminants in the Yamuna river at different locations (January to April 2020) (mean ± SD).
| S No. | Locations | pH | COD (mg/L) | BOD (mg/L) | DO (mg/L) | Faecal coliform (MPN/100 mL) |
|---|---|---|---|---|---|---|
| 1 | Palla | 7.70 ± 0.26 | 32.5 ± 45.70 | 2.73 ± 0.22 | 7.83 ± 0.86 | 506 |
| 2 | Surghat (downstream of Wazirabad barrage) | 7.63 ± 0.42 | 11.5 ± 3.42 | 3.45 ± 0.53 | 5.03 ± 1.21 | 3567 |
| 3 | Khajori Palton pool (downstream of Najafgarh drain) | 6.99 ± 0.94 | 103 ± 17.70 | 31.25 ± 2.75 | Nil | 44× 105 |
| 4 | Kudesia ghat | 7.37 ± 0.26 | 80 ± 14.24 | 28.25 ± 2.87 | Nil | 36× 105 |
| 5 | ITO bridge | 7.61 ± 0.25 | 69 ± 26.81 | 26.75 ± 4.27 | 2.3 | 46× 105 |
| 6 | Nizamudin bridge | 7.64 ± 0.19 | 68.5 ± 17.77 | 25 ± 6.83 | 1.73 ± 0.64 | 94× 104 |
| 7 | Agra canal (Okhla) | 7.72 ± 0.09 | 103.5 ± 42.53 | 31.5 ± 11.47 | 4.8 | 25× 105 |
| 8 | After meeting Shahdara drain (downstream Okhla barrage) | 7.91 ± 0.19 | 141 ± 45.88 | 51 ± 18.96 | Nil | 47× 105 |
| 9 | Agra canal (Jaitpur) | 7.64 ± 0.19 | 76 ± 20.91 | 26 ± 7.35 | 4.2 | 70× 105 |
Note: Nil means DO value is zero in all four months; data obtained from Delhi Pollution Control Committee, Delhi.
Trends in observed quality of water during lockdown on the main stream of the River Ganga based on real time water quality data.
| Parameter | Pre-lockdown | During lockdown | Overall trend in water quality |
|---|---|---|---|
| Dissolve oxygen (DO) | Pre-lockdown DO at most of the stations were above 7 mg/L | A slight decrease in DO at all places, due to an increase in turbidity and suspended solids coming from heavy rain spells is observed during the first phase of the lockdown. | DO for all the locations above outdoor bathing criteria. |
| Biochemical oxygen demand (BOD) | Pre-lockdown range of the BOD between 1.37 mg/L to 5.58 mg/L | BOD level of Madhya Ganga Barrage Anupshahar, Narora Barrage, Ghatiya ghat Bridge remained below 3 mg/L during the first phase of the lockdown. Fatehpur showed higher BOD values due to the discharge of wastewater through the polluted Pandu river. | Steep reduction in BOD at most of the locations during 7th week of lockdown. |
| Chemical oxygen demand (COD) | COD varied between 6.14 and 17.7 mg/L during pre-lockdown period | Kannauj and Fatehpur in UP recorded the highest COD in first two weeks of lockdown. Highest COD was recorded in Kanpur, Fatehpur and Behrampur West Bengal. | Reduction was observed during lockdown periods for most of the stations except Bithur, Kanpur and Fatehpur in UP and Behrampore in West Bengal. |
| Nitrate (NO3-) | Highest nitrate values were recorded in Madhya Ganga Barrage, UP | Marginal changes were observed in first week in comparison to the pre-lockdown condition. | Due to limited industrial and agricultural run-off, a decline trend in nitrate concentration was observed. |
| Ammoniacal nitrogen (NH3-N) | Anupshahar, Pariyal Bridge, Kanpur in UP and Belgharia in West Bengal record highest ammoniacal nitrogen | An increasing trend in comparison to pre-lockdown for most of the locations is observed during the first phase of the lockdown. | Ammoniacal nitrogen has shown increased levels from 0.15 to 2 mg/L during the first two phases of the lockdown. |
Fig. 14Rainfall in the Ganga Basin showing large excess (60% above the normal) which contributed to higher storage and discharge.
Storage in the Ganga River Basin based on weekly storages and percentage departure with respect to last year and previous 10 years (data period 2 January, 2020 to 6 May, 2020).
| Date | Live capacity at FRL | This year storage (2020) | Last year storage (2019) | Last 10 year average storage | Percentage departure w.r.t. average of 10 years | |||
|---|---|---|---|---|---|---|---|---|
| 02.01.2020 | 30.184 | 22.657 | 75.06% | 14.769 | 48.93% | 15.575 | 51.60% | 45.47 |
| 09.01.2020 | 30.184 | 22.067 | 73.11% | 14.210 | 47.08% | 15.494 | 51.33% | 42.42 |
| 16.01.2020 | 30.184 | 21.524 | 71.31% | 13.517 | 44.78% | 14.535 | 48.15% | 48.08 |
| 23.01.2020 | 30.184 | 21.042 | 69.71% | 12.996 | 43.06% | 14.775 | 48.95% | 42.42 |
| 30.01.2020 | 30.184 | 20.713 | 68.62% | 13.145 | 43.55% | 14.441 | 47.84% | 43.43 |
| 06.02.2020 | 30.184 | 19.888 | 65.89% | 12.040 | 39.89% | 13.324 | 44.14% | 49.26 |
| 13.02.2020 | 30.184 | 19.150 | 63.44% | 11.565 | 38.32% | 12.708 | 42.10% | 50.69 |
| 20.02.2020 | 30.184 | 18.518 | 61.35% | 11.355 | 37.62% | 12.530 | 41.51% | 47.79 |
| 27.02.2020 | 30.184 | 17.699 | 58.64% | 10.699 | 35.45% | 12.260 | 40.62% | 44.36 |
| 05.03.2020 | 30.184 | 17.125 | 56.74% | 10.309 | 34.15% | 11.678 | 38.69% | 46.64 |
| 12.03.2020 | 30.184 | 16.616 | 55.05% | 10.181 | 33.73% | 11.330 | 37.54% | 46.65 |
| 26.03.2020 | 30.184 | 16.084 | 53.29% | 9.685 | 32.09% | 10.899 | 36.11% | 47.57 |
| 09.04.2020 | 30.184 | 15.199 | 50.35% | 8.176 | 27.09% | 9.761 | 32.34% | 55.71 |
| 16.04.2020 | 30.184 | 14.933 | 49.47% | 7.890 | 26.14% | 9.507 | 31.50% | 57.07 |
| 23.04.2020 | 30.184 | 14.871 | 49.27% | 7.601 | 25.18% | 9.153 | 30.32% | 62.47 |
| 30.04.2020 | 30.184 | 14.654 | 48.55% | 7.536 | 24.97% | 9.020 | 29.88% | 62.46 |
| 06.05.2020 | 30.184 | 14.534 | 48.15% | 7.503 | 24.89% | 7.950 | 26.34% | 82.83 |
Fig. 15Sisamau drain – the biggest source of untreated municipal wastewater (183.29 MLD discharge rate) in the Ganga River in the heavily polluted urban segment of Kanpur City, A: before lockdown (2019) B: during lockdown (2020).
Fig. 16Sewage generation, treatment capacity and shortfall in sewage treatment in the major riparian states of the Ganga Basin.
River rejuvenation schemes to clean River Ganga and their shortcoming.
| River rejuvenation schemes | Period | Total investment | Major shortcomings |
|---|---|---|---|
| Ganga Action Plan (GAP) Phase I | 1985–2000 | Rs. 462.04 Cr. (360.96 million USD) | The focus was restricted to augmentation of wastewater treatment facilities only |
| Ganga Action Plan (GAP) Phase II | 1993–1999 | Rs. 2285.48 Cr. | Lack of sufficient budgetary allocations and resources for operation and maintenance of the wastewater treatment facilities created |
| National Ganga River Basin Authority (NGRBA) | 20th February 2009–20th September 2016 | Rs. 4607.82 Cr. | Ecological flows in the Ganga and its tributaries was not integrated in the basin management plan |
| National Mission for Clean Ganga (NMCG) | 12th August 2011–7th October 2016 | Lack of enabling policy and legal framework | |
| Continuing since June 2014 | Rs. 20,000 Cr. | Diminutive focus on ecological and geological integrity of the river |
Note:
The exchange rate of conversion of INR to USD follows the date of sanction of the project. The value of 1 USD was 12.37 INR, 30.49 INR, 48.41 INR and 62.33 INR in 1985, 1993, 2009 and 2014 respectively.
NMCG was implementation arm of NGRBA which was dissolved in October 2016 as National Ganga Council. NGRBA was transferred to the Ministry of Water Resources from the Ministry of Environment and Forests in July 2014.