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首页> 外文期刊>Indian Journal of Soil Conservation >Identification of groundwater potential zones and artificial recharge sites in Jaisamand catchment using remote sensing and geographical information system
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Identification of groundwater potential zones and artificial recharge sites in Jaisamand catchment using remote sensing and geographical information system

机译：使用遥感和地理信息系统识别Jaisamand集水区的地下水潜在区域和人工补给网站

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摘要

The aim of this study was to delineate groundwater potential zones in the Jaisamand catchment of Udaipur district, Rajasthan. To meet growing demand for groundwater, it is essential to identify the groundwater potential areas through scientific approach. It is in this context the remote sensing (RS) and geographical information system (GIS) technique was applied to demarcate the ground water potential zones in the study area. In the present study, thematic layers such as slope, relief, soil, geology,geomorphology, drainage, land use, recharge, post monsoon groundwater depth and transmissivity were prepared and integrated using the Spatial Analyst Tool in Arc GIS 10 software implying weighted overlay methods to delineate the groundwater potential zones and artificial recharge sites. In weighted overlay analysis rank value assigned for each class of all thematic data layers according to their influence on groundwater hydrology and factor weighted values was assigned according to analytical hierarchyprocess (AHP). The maximum area shows moderate groundwater potential and it covers 49.65% area. The 33.21% area shows poor groundwater potential whereas 4.32% area shows very poor groundwater potential. The area, which is favorable for artificial recharge is 279 km2, which contributes only 15.02% of the total study area.
机译：本研究的目的是在拉贾斯坦邦乌代普尔区的Jaisamand集水区中描绘地下水潜在区域。为了满足对地下水的需求不断增长，必须通过科学方法识别地下水潜在地区。正是在这种情况下，遥感（RS）和地理信息系统（GIS）技术被应用于划分研究区域的地下水势区。在本研究中，制备并在弧GIS 10软件中准备并整合了斜坡，浮雕，土壤，地质，地貌，排水，土地使用，充电，排水，土地利用，充电，季风地下水深度和透射率的主题层。描绘地下水潜在区域和人工补给网站。在加权覆盖分析中，根据分析层次分析（AHP）分配了根据其对地下水水文的影响和因子加权值的所有主题数据层分配的等级值。最大区域显示适度的地下水潜力，它占地49.65％的面积。 33.21％的区域显示出地面潜力差，而4.32％的面积显示出极差的地下水潜力。该地区有利于人工补给的是279平方公里，其中仅占总研究区域的15.02％。

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