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Prediction of groundwater flowing well zone at An-Najif Province, central Iraq using evidential belief functions model and GIS

机译:基于证据信念函数模型和GIS的伊拉克中部安纳吉夫省地下水流井区预测

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The objective of this study is to delineate groundwater flowing well zone potential in An-Najif Province of Iraq in a data-driven evidential belief function model developed in a geographical information system (GIS) environment. An inventory map of 68 groundwater flowing wells was prepared through field survey. Seventy percent or 43 wells were used for training the evidential belief functions model and the reset 30 % or 19 wells were used for validation of the model. Seven groundwater conditioning factors mostly derived from RS were used, namely elevation, slope angle, curvature, topographic wetness index, stream power index, lithological units, and distance to the Euphrates River in this study. The relationship between training flowing well locations and the conditioning factors were investigated using evidential belief functions technique in a GIS environment. The integrated belief values were classified into five categories using natural break classification scheme to predict spatial zoning of groundwater flowing well, namely very low (0.17-0.34), low (0.34-0.46), moderate (0.46-0.58), high (0.58-0.80), and very high (0.80-0.99). The results show that very low and low zones cover 72 % (19,282 km2) of the study area mostly clustered in the central part, the moderate zone concentrated in the west part covers 13 % (3481 km2), and the high and very high zones extended over the northern part cover 15 % (3977 km2) of the study area. The vast spatial extension of very low and low zones indicates that groundwater flowing wells potential in the study area is low. The performance of the evidential belief functions spatial model was validated using the receiver operating characteristic curve. A success rate of 0.95 and a prediction rate of 0.94 were estimated from the area under relative operating characteristics curves, which indicate that the developed model has excellent capability to predict groundwater flowing well zones. The produced map of groundwater flowing well zones could be used to identify new wells and manage groundwater storage in a sustainable manner.
机译:这项研究的目的是在地理信息系统(GIS)环境中开发的数据驱动的证据信念函数模型中,描述伊拉克安纳吉夫省的地下水流动井区潜力。通过现场调查绘制了68口地下水流动井的清单图。 70%或43口井用于训练证据信念函数模型,重置的30%或19口井用于模型验证。在这项研究中,使用了七个主要来自RS的地下水调节因子,即海拔,坡度角,曲率,地形湿度指数,河流功率指数,岩性单位和距幼发拉底河的距离。在GIS环境下,采用证据信念函数技术研究了训练流动井位与条件因素之间的关系。使用自然中断分类方案将综合信念值分为五类,以预测地下水流动良好的空间分区,即极低(0.17-0.34),低(0.34-0.46),中度(0.46-0.58),高(0.58- 0.80)和非常高(0.80-0.99)。结果表明,极低和极低的区域占研究区域的72%(19,282 km2),大部分集中在中部,集中在西部的中度区域占13%(3481 km2),高和极高的区域覆盖北部,占研究区域的15%(3977平方公里)。极低和极低区域的巨大空间扩展表明,研究区域的地下水流井潜力很低。证据信念函数空间模型的性能已使用接收器工作特性曲线进行了验证。根据相关工作特征曲线下的面积估计成功率为0.95,预测率为0.94,这表明开发的模型具有出色的预测地下水流动井区的能力。生成的地下水流动井区地图可用于识别新井并以可持续的方式管理地下水存储。

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