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Remote Sensing and GIS in Identification of Groundwater Potential Zones: A Study at Thirumullaivasal Village, Nagapattinam District, Tamilnadu, India

机译:遥感和GIS在地下水潜在区域的识别中:印度纳卡纳州区Nagapattinam区的Thirumullaivasal Village的研究

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The demand for need of groundwater goes with descending powers, when compared with the available natural resources to meet the expectations of Agricultural, Municipal and Industrial needs. Consequently, groundwater is being withdrawn from storage and water levels are declining resulting in crop failures, seawater intrusion in coastal aquifers, land subsidence etc. This urges the need of artificial recharge of groundwater by augmenting the natural infiltration of precipitation into subsurface formation by some suitable methods of recharge. This inturns expects the quantitative availability of groundwater in the area, at the earliest, to follow suitable recharge methods. This rapid determination is found possible only when Remote Sensing and GIS approaches are applied in addition to conventional methods, where time frame is lagging. In this study, Remote Sensing and GIS approaches were used to identify groundwater potential zones in Thirumullaivasal village of Nagapattinam district of Tamilnadu. Various thematic maps were prepared for the factors that influence groundwater such as rainfall, soil type, land use, slope and geology using satellite imageries, toposheets and data from Government and other organizations. Ranks and Weightages were assigned for different categories by devising criterion table and Cumulative Suitability Index (CSI) values were found out using Multi-criterion analysis of the prepared thematic maps through GIS. Based on CSI values, the area was prioritized into different groundwater potential zones for future investigation.
机译:与可用的自然资源相比,对地下水需求的需求与下降的权力相比,以满足农业,市政和工业需求的期望。因此,地下水正在储存,水平下降导致作物失败,沿海含水层的海水侵入,土地沉降等。这促请了通过一些合适的地下地层增加了地下水的人工补给人工补给需要。充电方法。这意味着预计该地区的地下水的定量可用性最早遵循合适的充电方法。只有在除了遥感和GIS方法除了传统方法之外,才能发现这种快速确定,其中时间帧滞后。在这项研究中,遥感和GIS方法用于识别Tamilnadu纳卡帕塔姆地区Thirumullaivasal村的地下水潜在区域。为使用卫星成像,TOPOSHELS和来自政府和其他组织的数据影响降雨,土壤类型,土地利用,坡度和地质等地下水的因素准备了各种专题地图。通过设计标准表和累积适用性指数(CSI)使用GIS的多标准分析发现累积适用性指数(CSI)值。基于CSI值,该区域优先于不同地下水潜在地区,以进行未来调查。

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