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A modified-DRASTIC model (DRASTICA) for assessment of groundwater vulnerability to pollution in an urbanized environment in Lucknow, India

机译:修改后的DRASTIC模型(DRASTICA),用于评估印度勒克瑙在城市化环境中地下水对污染的脆弱性

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Groundwater contamination and vulnerability in urbanized areas are of major concern and need proper attention. Several models including the DRASTIC model are used to evaluate groundwater vulnerability. In the present study, a modified DRASTIC model named as DRASTICA was used, by including anthropogenic influence as a model parameter. The study included an innovative methodology to characterize the anthropogenic influence by using satellite observations of night-lights from human settlements as a proxy and land-use/land-cover surrounding the urbanized area in Lucknow, the capital city of the most populous State of Uttar Pradesh in India. Geographical information system was used for spatial integration of different parameter maps. The groundwater vulnerability to pollution indicated that about 0.7 % area is covered under very high vulnerable zone, 24.5 % area under high vulnerable zone, 66.6 % area under moderately vulnerable zone and 8.2 % area under low vulnerable zone. The results were validated using nitrate concentration in ground water. It was shown that the proposed DRASTICA model performed better than conventional DRASTIC model in an urbanized environment. Sensitivity analysis indicated that anthropogenic impact and depth to water table largely influenced the groundwater vulnerability to pollution, thereby signifying that anthropogenic influence has to be addressed precisely in such studies. The modified-DRASTIC/DRASTICA model proposed in this study will help in better categorization of groundwater vulnerable zones to pollution where anthropogenic contamination is high, particularly in and around urban centers.
机译:城市化地区的地下水污染和脆弱性是主要问题,需要给予适当关注。包括DRASTIC模型在内的几种模型用于评估地下水脆弱性。在本研究中,通过将人为影响作为模型参数,使用了名为DRASTICA的改良DRASTIC模型。这项研究包括一种创新的方法,以卫星观测人类住区的夜间照明为代表,以及勒克瑙(北方邦人口最多的州首府)城市化地区周围的土地利用/土地覆盖,来表征人为影响印度的邦。地理信息系统用于不同参数图的空间整合。地下水对污染的脆弱性表明,极高脆弱性区域覆盖约0.7%的区域,高脆弱性区域覆盖24.5%的区域,中度脆弱性区域覆盖66.6%的区域,低脆弱性区域覆盖8.2%的区域。使用地下水中的硝酸盐浓度验证了结果。结果表明,所提出的DRASTICA模型在城市化环境中的性能优于常规DRASTIC模型。敏感性分析表明,人为影响和对地下水位的深度在很大程度上影响了地下水对污染的脆弱性,因此表明在这些研究中必须精确解决人为影响。这项研究中提出的改进的DRASTIC / DRASTICA模型将有助于更好地将人为污染高的地下水脆弱区分类为污染,特别是在城市中心及其周围。

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