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首页> 外文期刊>Data in Brief >Data on artificial recharge sites identified by geospatial tools in semi-arid region of Anantapur District, Andhra Pradesh, India
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Data on artificial recharge sites identified by geospatial tools in semi-arid region of Anantapur District, Andhra Pradesh, India

机译:通过地理空间工具在印度安得拉邦阿纳塔普尔区半干旱地区识别的人工补给点数据

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摘要

The Geospatial Technologies like Remote Sensing (RS) and Geographic Information System (GIS) have been playing vital role in capable forecasting and management of imperative groundwater resources in the emerging nations. In recent times, the geospatial technologies like RS, GIS and Multi Influence Factor (MIF) methodology are helpful in identifying groundwater potential zone. For the present study, the geospatial technology is used to prepare various thematic maps such as Land Slope, Geomorphology, Geology, Soil, Drainage Density, Lineament Density, Landuse/Landcover, Hydrogeomorphology, and Annual consideration of the valuation of groundwater assets for the semi-arid region in and around Bommanahal Mandal of Anantapur District in Andhra Pradesh, Southern India. As a part of the study eight thematic layers and their functions have been designed applicable weights at the Saaty?s scale according to their comparative connotation in groundwater occurrence. The designed weights are normalized by using AHP (Analytic Hierarchy Process) MIF techniques and eigenvector method to various thematic layers and their features. Further to create a groundwater potential map the chosen thematic maps are integrated by weighted linear grouping method in a GIS environment. Based on the groundwater potential index values, the study area is classified into four different groundwater potential zones such as ‘good’, ‘moderate to good’, ‘moderate’ and ‘poor’. The new recharge structures have proposed to fulfill the demand of groundwater to expand the scope of groundwater for future generations. Considering the overlay analysis of geomorphology and drainage layer execution through GIS technologies, the appropriate sites for artificial recharge structures have been identified.
机译:诸如遥感(RS)和地理信息系统(GIS)之类的地理空间技术在新兴国家能够有效地预测和管理必要的地下水资源方面发挥着至关重要的作用。近年来,RS,GIS和多重影响因子(MIF)方法等地理空间技术有助于确定地下水的潜在地带。对于本研究,地理空间技术用于准备各种专题图,例如坡度,地貌,地质,土壤,排水密度,线质密度,土地利用/土地覆被,水文地貌以及对半地下水资源价值的年度考虑印度南部安得拉邦阿南塔普尔区Bommanahal Mandal附近的干旱地区。作为研究的一部分,根据在地下水发生中的比较含义,设计了八个主题层及其功能,在Saaty尺度上设计了可应用的权重。通过使用AHP(层次分析法)MIF技术和特征向量法将设计的权重归一化为各个主题层及其特征。为了进一步创建地下水潜力图,将选定的专题图通过加权线性分组方法整合到GIS环境中。根据地下水潜力指数值,研究区域分为四个不同的地下水潜力区,例如“好”,“中到好”,“中”和“差”。提出了新的补给结构,以满足地下水的需求,以扩大子孙后代的地下水范围。考虑到通过GIS技术进行的地貌和排水层覆盖分析,已经确定了适合人工补给结构的地点。

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