Pareta Kuldeep
DHI (India) Water & Environment Pvt Ltd., New Delhi, India.
Sci Rep. 2024 Jul 18;14(1):16624. doi: 10.1038/s41598-024-67752-w.
Groundwater, a vital freshwater resource catering to agricultural, domestic, and industrial needs, faces a pressing challenge of contamination due to escalating human activities. This study focuses on the Ayad River Basin in the Udaipur district of Rajasthan, employing the FEFLOW simulation code for the first time. A steady-state numerical model and a groundwater contaminant prediction model for total dissolved solids (TDS), nitrate, and fluoride were developed, simulating trends over the next five years with an accuracy exceeding 95%. The results reveal an eastward increase in TDS, nitrate, and fluoride concentrations, attributed to contamination from two waste disposal sites-Titadi and Baleecha. Titadi, operational for four decades until closure in 2010, retains residual waste over 32 thousand m. The initiation of a new dumping ground at Baleecha by the Udaipur Municipal Corporation post-2010 exacerbates regional contamination. Nitrate contamination is particularly high in agricultural zones with excessive chemical fertilizer usage. Of the 27 scenarios tested, 23 support using the water for irrigation but would require treatment before using it for drinking. Recommendations include deploying a chemical sensor network for real-time data input into the web enabled FEFLOW model, real-time monitoring and alerts, and a mobile application providing personalized guidance on water usage and health risks in case of contamination. This study can be beneficial to decision-makers, who work on the policy and groundwater management strategies.
地下水作为一种满足农业、家庭和工业需求的重要淡水资源,由于人类活动的不断增加,正面临着严峻的污染挑战。本研究聚焦于拉贾斯坦邦乌代布尔区的阿亚德河流域,首次采用了FEFLOW模拟代码。建立了一个稳态数值模型以及一个针对总溶解固体(TDS)、硝酸盐和氟化物的地下水污染物预测模型,模拟了未来五年的趋势,准确率超过95%。结果显示,TDS、硝酸盐和氟化物浓度向东增加,这归因于两个废物处理场——蒂塔迪和巴莱查的污染。蒂塔迪运营了四十年,直至2010年关闭,仍残留超过3.2万立方米的废物。2010年后,乌代布尔市政公司在巴莱查启用了一个新的垃圾倾倒场,加剧了区域污染。在化肥使用过量的农业区,硝酸盐污染尤为严重。在测试的27种情景中,有23种支持将该水用于灌溉,但在用于饮用之前需要进行处理。建议包括部署化学传感器网络,以便将实时数据输入到基于网络的FEFLOW模型中,进行实时监测和警报,以及开发一个移动应用程序,在发生污染时提供关于用水和健康风险的个性化指导。这项研究对制定政策和地下水管理策略的决策者可能会有所帮助。