融合地理信息系统、遥感、地球物理和 Dempster Shafer 证据理论绘制地下水远景图:尼日利亚拉各斯州中部地区案例研究

IF 2 4区 地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY
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引用次数: 0

摘要

水资源用于不同的人类活动至关重要,但在某些地区,如尼日利亚拉各斯州的中部地区,却无法随时取用水资源。此外,造成这种情况的地下水控制因素(GWCFs)很多,包括地质、地球物理和水文因素,再加上不确定性,有必要使用适当的建模技术对这些因素进行仔细选择。在本研究中,采用 Dempster-Shafer 证据信念函数理论(DST-EBF)模型(一种耦合方法)绘制了研究区域的地下水远景分区图(GWPZ)。之所以选择这些地点,是因为供水持续匮乏,需要发现新的地点或对现有地点进行重新评估,以开发地下水资源。此外,遥感、地质、实地地球物理和水文数据集构成了 GWCF,并被整合到地理信息系统(GIS)环境中。接着,利用 Dempster-Shafer 组合规则将计算出的质量函数证据值(即相信、不相信、不确定和可信度)进行组合,然后利用反距离加权法(IDW)进行内插。随后,生成了 GWPZ 地图,并将其划分为五个区域,从极低前景区到高前景区不等。利用交叉验证估算统计误差、接收器操作特征曲线(ROC)以及二维电阻率成像勘测的反演电阻率模型,对 GWPZ 图进行了验证。所有用于验证的指标都很好地说明了 GWPZ 地图的分类情况。东北部和中南部是地下水最有潜力的地区,可通过钻井利用地下水实现可持续发展。因此,DST-EBF 模型与地理信息系统的整合在有效绘制地下水资源和不确定性地图方面是相当成功和可靠的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fusion of GIS, remote sensing, geophysics and Dempster Shafer theory of evidence for mapping groundwater prospectivity: A case study of the central parts of Lagos State, Nigeria

Water utilization for different human activities is universally crucial, but it is not readily available for consumption in some areas, such as the central parts of Lagos State, Nigeria. Moreover, there are many groundwater controlling factors (GWCFs) spanning geological, geophysical, and hydrological factors that contribute to this scenario, coupled with uncertainties that necessitate their careful selection using appropriate modelling techniques. In this study, the Dempster–Shafer Theory of Evidential Belief Function (DST-EBF) model (a coupling approach) was deployed to produce a groundwater prospectivity zonation (GWPZ) map for the study areas. The choice of the selected locations was informed by the continued dearth of water supplies, necessitating the need to discover new locations or re-appraise the existing ones for groundwater resource development. Furthermore, remote sensing, geological, field geophysical, and hydrological datasets that constituted GWCFs were integrated into a Geographic Information System (GIS) environment. Next, the computed values for the evidence of the mass functions (i.e., belief, disbelief, uncertainty, and plausibility) were combined using the Dempster–Shafer combination rule and then interpolated using the Inverse Distance Weighted (IDW) method. Subsequently, the GWPZ map was generated and classified into five zones, ranging from very low to high prospectivity zones. The GWPZ map was validated using cross-validation to estimate statistical errors, the receiver operating characteristic (ROC) curve, and the use of inverted resistivity models from the 2D electrical resistivity imaging surveys. All the metrics used for the validation provided good account for the classified GWPZ map. The north-eastern and the south-central parts are the most promising regions for groundwater, which could be harnessed for sustainable development through borehole drilling. Thus, the integration of the DST-EBF model and GIS for effective groundwater resources and uncertainty mapping was quite successful and impressively reliable.

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来源期刊
Solid Earth Sciences
Solid Earth Sciences GEOSCIENCES, MULTIDISCIPLINARY-
CiteScore
3.60
自引率
5.00%
发文量
20
审稿时长
103 days
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