首页> 外文期刊>Journal of Geoscience and Environment Protection >Mapping the Spatial Distributions of Water Quality and Their Interpolation with Land Use/Land Cover Using GIS and Remote Sensing in Noyyal River Basin, Tamil Nadu, India
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Mapping the Spatial Distributions of Water Quality and Their Interpolation with Land Use/Land Cover Using GIS and Remote Sensing in Noyyal River Basin, Tamil Nadu, India

机译:使用GIS和Noyyal River盆地,泰米尔纳德邦,印度诺伊亚河流域的土地使用/陆地覆盖水质的空间分布及其与土地使用/陆地覆盖的插值

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Noyyal River is historically, ecologically and culturally significant river in Kongu region of western Tamilnadu. More than 100 villages are situated along the banks of the Noyyal River and it’s the was the best site of inhabitation on both the sides of the river up to 3 km from the river before the emergence of the issue of industrial pollution. But now river Noyyal was highly polluted by domestic and industrial growth by discharging of both domestic and industrial are discharged without any treatment. So methodology was proposed to identify the suitable zone for groundwater quality by using land use/land cover data along with groundwater quality in analytic hierarchy process. Suitability of groundwater for drinking was identified in the study area by collecting 63 samples in both postmonsoon and premonsoon as per Indian standards. To evaluate the land use pattern of the study area, land use/land cover map was prepared from satellite images of LISS III by using supervised classification according to National Remote Sensing Agency (NRSA) using Erdas imagine 8.4 software. Using ArcGIS software, weighted overlay analyses were carried out to identify the suitable zones for groundwater quality in postmonsoon and premonsoon and finally these two thematic maps were integrated with land use/land cover map to identify the suitable zone for quality of water. The interpretation shows that groundwater in most of the locations were unsuitable for drinking purposes.
机译:诺伊亚河是历史上,在泰米尔纳德西部孔田地区的生态和文化上有重要的河流。超过100个村庄位于诺伊亚河畔,这是河边两侧的最佳居住地,在产业污染问题出现之前,距离河流有3公里。但现在河诺伊河受到国内和工业的储蓄而没有任何治疗的情况下的国内和工业增长受到高度污染的。因此,提出了通过使用土地使用/陆地覆盖数据以及分析层次过程中的地下水质量来识别地下水质量的合适区域。根据印度标准,通过收集63个样品,在研究区内发现了地下​​水的适用性。为了评估研究区域的土地利用模式,通过使用Erdas Imagine 8.4软件的国家遥感机构(NRSA)的监督分类,从Liss III的卫星图像制备土地使用/陆地覆盖地图。使用ArcGIS软件,进行了加权覆盖分析,以识别Postmonsonon和ImonoNon的地下水质量的合适区域,最后与土地使用/陆地覆盖图集成了这两个主题地图,以确定水的适用区。解释表明,大多数地区的地下水不适合饮用目的。

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