Evaluation of Groundwater Potential Zone Using Remote Sensing and Geographical Information System: in Kaffa Zone, South Western Ethiopia

Azarias Woldegebriel, T. A. Amibo, Abreham Bekele Bayu
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引用次数: 3

Abstract

This study focused on delineating the groundwater potential and recharge area for Kaffa Zone by the method of remote sensing and ArcGIS 10.4 software analysis techniques. There are six main influencing factors (rainfall, slope, land use/cover, lineaments, drainage density, and Lithology) selected for groundwater recharge zone mapping. The thematic maps were scanned, geo-referenced, and classified as suitable for groundwater using ArcGIS 10.4. The methods to assess the potential zone were using weight overlay analysis and hierarchy of analytical process algorithm. The result obtained the potential of ground water were discussed recharge zones into four major categories: very good, good, and moderate and low. This can help for better planning and management the potential resource of groundwater. The results analyzed the groundwater potential that were subdivided in to low, moderate, high, and very high groundwater potentials areas that cover 1664.1,7682.9, 958.27, and 192.78 km2 respectively. The prediction accuracy was checked based on the borehole yield observed and predicted data of respective locations within the selected area. The prediction accuracy obtained (68.42%) reflects that the present study's method was produced significantly reliable and precise results.
基于遥感和地理信息系统的地下水潜力区评价:在埃塞俄比亚西南部Kaffa地区
利用遥感技术和ArcGIS 10.4软件分析技术,对卡法区地下水潜力和补给区进行了圈定。地下水补给带制图选择了六个主要影响因素(降雨、坡度、土地利用/覆盖、地形、排水密度和岩性)。对专题地图进行扫描、地理参考,并使用ArcGIS 10.4将其分类为适合地下水的地图。潜在区评价方法采用权重叠加法和层次分析法。将地下水的回灌潜力划分为“极好”、“好”、“中、低”四大类。这有助于更好地规划和管理潜在的地下水资源。地下水潜力区划分为低、中、高、特高4个区域,分别覆盖1664.1、7682.9、958.27、192.78 km2。根据选定区域内各位置的井眼产量观测和预测数据,对预测精度进行了验证。得到的预测精度为68.42%,表明本研究方法的预测结果可靠、准确。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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