Sarkar Soumyajit, Mukherjee Abhijit, Senapati Balaji, Duttagupta Srimanti
School of Environmental Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur 721302, West Bengal, India.
Department of Geology and Geophysics, Indian Institute of Technology Kharagpur, Kharagpur 721302, West Bengal, India.
ACS Environ Au. 2022 Sep 1;2(6):556-576. doi: 10.1021/acsenvironau.2c00042. eCollection 2022 Nov 16.
One of the potential impacts of climate change is enhanced groundwater contamination by geogenic and anthropogenic contaminants. Such impacts should be most evident in areas with high land-use change footprint. Here, we provide a novel documentation of the impact on groundwater nitrate (GW ) pollution with and without climate change in one of the most intensely groundwater-irrigated areas of South Asia (northwest India) as a consequence of changes in land use and agricultural practices at present and predicted future times. We assessed the probabilistic risk of GW pollution considering climate changes under two representative concentration pathways (RCPs), i.e., RCP 4.5 and 8.5 for 2030 and 2040, using a machine learning (Random Forest) framework. We also evaluated variations in GW distribution against a no climate change (NCC) scenario considering 2020 status quo climate conditions. The climate change projections showed that the annual temperatures would rise under both RCPs. The precipitation is predicted to rise by 5% under RCP 8.5 by 2040, while it would decline under RCP 4.5. The predicted scenarios indicate that the areas at high risk of GW pollution will increase to 49 and 50% in 2030 and 66 and 65% in 2040 under RCP 4.5 and 8.5, respectively. These predictions are higher compared to the NCC condition (43% in 2030 and 60% in 2040). However, the areas at high risk can decrease significantly by 2040 with restricted fertilizer usage, especially under the RCP 8.5 scenario. The risk maps identified the central, south, and southeastern parts of the study area to be at persistent high risk of GW pollution. The outcomes show that the climate factors may impose a significant influence on the GW pollution, and if fertilizer inputs and land uses are not managed properly, future climate change scenarios can critically impact the groundwater quality in highly agrarian areas.
气候变化的潜在影响之一是地质成因和人为污染物对地下水的污染加剧。这种影响在土地利用变化足迹较大的地区应最为明显。在此,我们提供了一份新颖的记录,阐述了南亚(印度西北部)地下水灌溉最为密集的地区之一,由于目前以及预测的未来土地利用和农业实践的变化,在有和没有气候变化的情况下对地下水硝酸盐(GW)污染的影响。我们使用机器学习(随机森林)框架,评估了在两种代表性浓度路径(RCPs),即2030年和2040年的RCP 4.5和8.5情景下考虑气候变化时GW污染的概率风险。我们还对照考虑2020年现状气候条件的无气候变化(NCC)情景,评估了GW分布的变化。气候变化预测表明,在两种RCP情景下年气温都会上升。预计到2040年,RCP 8.5情景下降水量将增加5%,而在RCP 4.5情景下降水量将下降。预测情景表明,在RCP 4.5和8.5情景下,2030年GW污染高风险地区将分别增加到49%和50%,2040年将分别增加到66%和65%。与NCC情景(2030年为43%,2040年为60%)相比,这些预测值更高。然而,通过限制化肥使用,到2040年高风险地区可能会显著减少,特别是在RCP 8.5情景下。风险地图确定研究区域的中部、南部和东南部地区一直处于GW污染的高风险中。结果表明,气候因素可能对GW污染产生重大影响,如果化肥投入和土地利用管理不当,未来气候变化情景可能会严重影响农业高度发达地区的地下水质量。