首页> 外文期刊>Journal of geovisualization and spatial analysis >Delineation of Groundwater Recharge Zones in Ali Al-Gharbi District, Southern Iraq Using Multi-criteria Decision-making Model and GIS
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Delineation of Groundwater Recharge Zones in Ali Al-Gharbi District, Southern Iraq Using Multi-criteria Decision-making Model and GIS

机译:在阿里界定地下水补给区al - gharbi区,伊拉克南部多准则决策模型和GIS

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摘要

This study identifies the groundwater recharge zone in an arid region of southern Iraq in a GIS framework using two multi-criteria decision-making techniques, namely the analytical hierarchy process (AHP) and the technique for order of preference by similarity to ideal solutions (TOPSIS). Eight factors are used to delineate groundwater recharge zones based on local conditions and data availability. These factors are elevation, slope, lithology, soil, land cover, drainage density, aquifer's saturated thickness, and groundwater depths. These factors are prepared using different data sources, such as remotely sensed imagery, field survey, and borehole testing reports. AHP is mainly used to derive factor weights that reflect the contribution of each factor in the siting of the groundwater recharge project, while TOPSIS is used to rank the alternatives. The ranked values are classified into five groundwater recharge suitability zones: very low, low, moderate, high, and very high. The very low to low suitability classes cover an area of 75 km(2) (12% of the study area), the high to very high classes encompass an area of 436 km(2) (72%), and the moderate class extends over the remaining parts of the study area 99 km(2) (16%). Results are validated using the receiver operating characteristic curve. This validation test revealed a prediction accuracy of 76% (good predictive model).
机译:本研究确定了地下水补给在伊拉克南部的干旱地区GIS框架使用两个多决策技术,即分析层次分析法(AHP)和技术秩序的偏好相似的理想解决方案(TOPSIS)。划定地下水补给区基于当地条件和数据可用性。因素是海拔高度、边坡、岩性、土壤、土地覆盖、水系密度、含水层的饱和厚度、地下水深度。准备使用不同的数据源,这样吗遥感图像,实地调查,钻孔测试报告。推导因素权重反映了每个因素的选址的贡献地下水补给项目,而指标值用于排名选择。分为五个地下水补给适宜性区:非常低,低风险、中度风险高,和非常高的。类占地面积75公里(2)(12%的研究区域),高到非常高的类包括一个面积436公里(2)(72%),和适度类扩展了剩下的部分研究区99公里(2)(16%)。使用接收方操作进行验证特性曲线。揭示了预测精度为76%(好预测模型)。

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