Interdisciplinary Centre for Water Research, Indian Institute of Science, Bangalore, India.
Civil Engineering, Indian Institute of Science, Bangalore, India.
Sci Rep. 2020 Jun 4;10(1):9107. doi: 10.1038/s41598-020-66171-x.
The heavily industrialised Kanpur region is the most polluted stretch of the Ganga river because of excessive pollutant discharge from the industries. Agricultural runoff along with climate change further adds to the pollution risk in this industrialised stretch of Ganga. In this paper, we analyse the potential impacts of climate change and land use change on the water quality in this stretch under hypothetical scenarios using the water quality model, QUAL2K. Water quality indicators of Dissolved Oxygen (DO), Biochemical Oxygen Demand, ammonia, nitrate, total nitrogen, organic-, inorganic- and total phosphorous and faecal coliform are assessed for eight climate change and six land use land cover scenarios. Eutrophic conditions are observed in this stretch of the river for all scenarios, implying severe impacts on aquatic life. DO is identified as the most sensitive indicator to the climate change scenarios considered, while nutrients and faecal coliform are more sensitive to the land use scenarios. Increase in agricultural land area leads to larger nutrient concentration while increase in built-up area causes an increase in faecal coliform concentration. Results from this hypothetical study could provide valuable guidance for improving the water quality of the Ganges in future climate change and land use change scenarios.
由于工业的过度污染排放,重工业发达的坎普尔地区是恒河最污染严重的一段。农业径流加上气候变化进一步增加了恒河这一工业化河段的污染风险。在本文中,我们使用水质模型 QUAL2K,在假设的情景下分析了气候变化和土地利用变化对该河段水质的潜在影响。对八种气候变化和六种土地利用土地覆盖情景下的溶解氧 (DO)、生化需氧量、氨、硝酸盐、总氮、有机-、无机-和总磷以及粪大肠菌群等水质指标进行了评估。所有情景下的河流都呈现富营养化状态,这意味着对水生生物造成了严重影响。DO 被确定为所考虑的气候变化情景中最敏感的指标,而养分和粪大肠菌群对土地利用情景更为敏感。农业用地面积的增加会导致养分浓度的增加,而建成区面积的增加会导致粪大肠菌群浓度的增加。这项假设研究的结果可以为未来气候变化和土地利用变化情景下改善恒河水质提供有价值的指导。