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首页> 外文会议>The 28th International Symposium on Remote Sensing of Environment, Mar 27-31, 2000, Cape Town, South Africa >Assessment of water resources in arid land using remote sensing A case study from Sinkat District, Red Sea Hills, Sudan
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Assessment of water resources in arid land using remote sensing A case study from Sinkat District, Red Sea Hills, Sudan

机译：利用遥感评估干旱地区的水资源-以苏丹红海丘陵Sinkat区为例

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摘要

Recently the area of the Red Sea Hills in the Sudan including Sinkat district witnessed acute shortages of water supply. Some of the main reasons for these shortages, are inadequate rainfall and changes in the area's population and its distribution. The present study Investigates the variation of groundwater availability among different catchments in the Sinkat District, using a remote sensing approach. Different data sources were used; remotely sensed data and others. The methods of data analysis used are drainage basin analysis, lineament analysis. The results obtained from this study indicate that some factors show a big variation among the different catchments e.g. slopes, sediments thickness and lineaments concentration. Others like drainage density and drainage frequency show only slight variations. All these factors were studied with respect to their hydrological significant and the catchments with the most favourable conditions for groundwater availability were identified.
机译：最近，苏丹的红海山一带，包括辛卡特地区，都出现了严重的水供应短缺。造成这些短缺的一些主要原因是降雨不足以及该地区人口及其分布的变化。本研究使用遥感方法调查了辛卡特地区不同集水区的地下水可利用量。使用了不同的数据源。遥感数据和其他所使用的数据分析方法是流域分析，地层分析。从这项研究获得的结果表明，一些因素在不同的流域之间表现出很大的差异，例如坡度，沉积物厚度和沉积物浓度。排水密度和排水频率等其他参数仅显示出细微的变化。研究了所有这些因素的水文重要性，并确定了最有利于地下水利用的集水区。

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