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Remote Sensing and GIS Techniques for Evaluation of Groundwater Quality in Municipal Corporation of Hyderabad (Zone-V) India

机译:印度海得拉巴(Zone-V)市政公司用于评估地下水质量的遥感和GIS技术

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摘要

Groundwater quality in Hyderabad has special significance and needs great attention of all concerned since it is the major alternate source of domestic, industrial and drinking water supply. The present study monitors the ground water quality, relates it to the land use / land cover and maps such quality using Remote sensing and GIS techniques for a part of Hyderabad metropolis. Thematic maps for the study are prepared by visual interpretation of SOI toposheets and linearly enhanced fused data of IRS-ID PAN and LISS-III imagery on 1:50,000 scale using AutoCAD and ARC/INFO software. Physico-chemical analysis data of the groundwater samples collected at predetermined locations forms the attribute database for the study, based on which, spatial distribution maps of major water quality parameters are prepared using curve fitting method in Arc View GIS software. Water Quality Index (WQI) was then calculated to find the suitability of water for drinking purpose. The overall view of the water quality index of the present study area revealed that most of the study area with > 50 standard rating of water quality index exhibited poor, very poor and unfit water quality except in places like Banjara Hills, Erragadda and Tolichowki. Appropriate methods for improving the water quality in affected areas have been suggested.
机译:海得拉巴的地下水水质具有重要意义,并且是所有家庭,工业和饮用水供应的主要替代来源,因此需要得到所有有关方面的高度重视。本研究监测地下水水质,将其与土地使用/土地覆盖相关联,并使用遥感和GIS技术为海得拉巴大都市的一部分绘制这样的水质地图。该研究的专题图是通过视觉解释SOI拓扑表以及使用AutoCAD和ARC / INFO软件以1:50,000比例线性增强的IRS-ID PAN和LISS-III图像的融合数据而制得的。在预定位置收集的地下水样品的理化分析数据构成了用于研究的属性数据库,在此基础上,使用Arc View GIS软件中的曲线拟合方法绘制了主要水质参数的空间分布图。然后计算水质指数(WQI),以找到适合饮用的水。本研究区水质指数的整体视图表明,除Banjara Hills,Erragadda和Tolichowki等地外,大多数水质指数均超过50的研究区显示出差,极差和不合适的水质。已经提出了适当的方法来改善受灾地区的水质。

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