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INTEGRATED APPROACH FOR IDENTIFICATION OF GROUNDWATER POTENTIAL ZONE IN HARD ROCK TERRAIN

机译:硬岩地形中地下水潜在地带的综合识别方法

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El Nino phenomenon in Malaysia prolonged dry seasons resulted in the decrease of surface water resources. Groundwater has been identified by the relevant authorities in Malaysia as an alternative water resource in the areas affected by the El Nino. Several studies have shown that integration of remote sensing and Geographical Information System (GIS) were able to identify groundwater potential zone in more accurate, faster and cost effective. The aim of this study is to use remote sensing and GIS to identify groundwater potential zone in hard rock aquifer at Upper part of Muar River Basin which is one of the areas affected by El-Nino event. In this study, five (5) parameters that controlled the groundwater occurrence were derived and extracted from satellite images (Landsat-8 & SPOT 6) and ancillary data. Analytical Hierarchy Process (AHP) was used to determine the weightage and score of each parameter. Weighted Overlay technique was then used to integrate these parameters in GIS environment to produce groundwater potential map. As a result, three (3) zones of groundwater potential were categorised as High (>10m~3/hour). Moderate (5-10m~3/hour) and Low (<5m~3/hour) that indicate the groundwater potential in term of yield. The map shows that 22% of the study area is in High, 23% in Moderate and 55% in Low potential zones. The yield (25m~3/h) of verification borehole drilled in the High potential zone is consistent with the groundwater potential map. This study shows that integrated approach of remote sensing and GIS is proven to be a useful tool in producing groundwater potential map. The map is needed to assist the relevant authorities in identifying an alternative water resource especially to overcome the water crisis during El-Nino event.
机译:马来西亚的El Nino现象延长了旱季,导致地表水资源减少。马来西亚有关当局已将地下水确定为受厄尔尼诺现象影响的地区的替代水资源。多项研究表明,遥感与地理信息系统(GIS)的集成能够以更准确,更快和更具成本效益的方式确定地下水的潜在区域。这项研究的目的是利用遥感和GIS识别麻坡河流域上部的硬岩含水层中的地下水潜在带,麻坡河流域是受El-Nino事件影响的地区之一。在这项研究中,从卫星图像(Landsat-8和SPOT 6)和辅助数据中提取并提取了控制地下水发生的五(5)个参数。使用层次分析法(AHP)确定每个参数的权重和分数。然后使用加权叠加技术将这些参数集成到GIS环境中以生成地下水位图。结果,三(3)个地下水位区域被归类为高(> 10m〜3 / hour)。中度(5-10m〜3 /小时)和低度(<5m〜3 /小时)表示以产量计的地下水潜力。该地图显示,研究区域的22%位于高电位区域,23%位于中度区域,55%位于低电位区域。高电位区钻探核查井的产量(25m〜3 / h)与地下水位图一致。这项研究表明,遥感和GIS的集成方法被证明是制作地下水潜力图的有用工具。需要该地图以协助有关当局确定替代水资源,尤其是要克服厄尔尼诺事件期间的水危机。

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