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利用 GIS 支持的 DRASTIC 模型和层次分析法技术对印度半干旱的托特科河流域的地下水脆弱性和污染风险进行制图。

Groundwater vulnerability and contamination risk mapping of semi-arid Totko river basin, India using GIS-based DRASTIC model and AHP techniques.

机构信息

Department of Earth Sciences, Indian Institute of Engineering Science and Technology, Shibpur, Howrah, 711103, West Bengal, India.

Department of Earth Sciences, Indian Institute of Engineering Science and Technology, Shibpur, Howrah, 711103, West Bengal, India.

出版信息

Chemosphere. 2022 Nov;307(Pt 2):135831. doi: 10.1016/j.chemosphere.2022.135831. Epub 2022 Aug 6.

Abstract

Totko river basin is a semi-arid watershed, which undergoes severe water crisis during the dry season. Presently, due to increase in population, demand of food has increased leading to a rise in growth of high yield crop variety and usage of chemical fertilizers and pesticides. So, surface water as well as groundwater is getting polluted. In this study assessment of groundwater vulnerability of Totko river basin has been done using DRASTIC and Analytic Hierarchy Process (AHP) models. For this, seven hydrogeological parameters have been considered which are; Depth to water level (D), Net Recharge (R), Aquifer media (A), Soil media (S), Topography (T), Impact of vadose zone (I) and Hydraulic Conductivity (C). Weight and rating analysis of the seven criteria and their sub-criteria have been done using generic DRASTIC algorithm and AHP comparison matrix. Ground Water Vulnerability Map (GWV) obtained from DRASTIC and AHP analysis has been divided into five vulnerable classes. Area of very high vulnerable zone is 6.53% more in AHP based vulnerability as compared to Generic DRASTIC. Similarly, these regions show a high nitrate concentration (30-50 ppm) in groundwater. GWV maps have been validated through nitrate concentration and the accuracy of the models have been assessed through Pearson's correlation coefficient and Kappa coefficient. To prevent groundwater contamination proper land use planning and watershed management are necessary, for which vulnerable zones need to be demarcated and DRASTIC is a useful model for vulnerability assessment.

摘要

托特科河流域是一个半干旱流域,在旱季会经历严重的水资源危机。目前,由于人口增加,对食物的需求增加,导致高产量作物品种的增长和化肥及农药的使用增加。因此,地表水和地下水都受到了污染。本研究采用 DRASTIC 和层次分析法(AHP)模型对托特科河流域地下水脆弱性进行了评估。为此,考虑了 7 个水文地质参数,分别是:地下水埋深(D)、净补给量(R)、含水层介质(A)、土壤介质(S)、地形(T)、包气带影响(I)和水力传导率(C)。使用通用 DRASTIC 算法和 AHP 比较矩阵对这 7 个标准及其子标准进行了权重和评分分析。根据 DRASTIC 和 AHP 分析得到的地下水脆弱性图(GWV)被分为 5 个脆弱类。基于 AHP 的脆弱性分析中,高脆弱区的面积比通用 DRASTIC 多 6.53%。同样,这些地区的地下水硝酸盐浓度(30-50ppm)较高。GWV 图已通过硝酸盐浓度进行验证,模型的准确性通过皮尔逊相关系数和 Kappa 系数进行评估。为了防止地下水污染,需要进行适当的土地利用规划和流域管理,为此需要划定脆弱区,而 DRASTIC 是评估脆弱性的有用模型。

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