干旱区生态环境知识资源中心(Arid): Groundwater Potential Zones Assessment Using Geospatial Models in Semi-Arid Areas of South Africa

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DOI	10.3390/land12101877
	Groundwater Potential Zones Assessment Using Geospatial Models in Semi-Arid Areas of South Africa
	Adesola, Gbenga Olamide; Thamaga, Kgabo Humphrey; Gwavava, Oswald; Pharoe, Benedict Kinshasa
通讯作者	Adesola, GO
来源期刊	LAND
EISSN	2073-445X
出版年	2023
卷号	12 期号:10
英文摘要	Water resources are under tremendous pressure as a result of the growing demand for water to meet human needs. Hence, it is necessary to delineate groundwater potential zones (GWPZs) to sustainably develop and manage groundwater resources. In this study, the geospatial-based analytical hierarchy process (AHP) and frequency ratio (FR) techniques were used to identify the GWPZs. Seven factors (geology, rainfall, slope, lineament density, soil, drainage density, and land use/land cover), which partially or entirely influence the groundwater potentiality of an area, were accessed separately and later combined to create GWPZ maps. Weights and ranks were assigned to the factors to perform the AHP model using existing knowledge. The FR was performed by calculating the percentage ratio between the dependent variable (boreholes) and the independent variable (factors). The preparation of the contributing factors and the creation of the resulting models was done using ArcGIS 10.8. The final GWPZ maps were classified into five zones: very low, low, moderate, high, and very high. About 80 boreholes in the study area were randomly subset into training and testing datasets; 58% were used for model training, and the remaining 42% were used for validation purposes. The receiver operating characteristic (ROC) curves for the GWPZs models were generated, and the areas under the curves (AUC) were calculated. Validation of the models shows that the FR model is more efficient (85.3% accuracy) than the AHP model (83.2% accuracy). The findings show that the AHP and FR models are reliable and can be adopted to characterize GWPZs in arid or semi-arid environments.
英文关键词	GIS groundwater frequency ratio ROC water scarcity
类型	Article
语种	英语
开放获取类型	gold
收录类别	SSCI
WOS记录号	WOS:001093585900001
WOS关键词	ANALYTIC HIERARCHY PROCESS ; WEIGHTS-OF-EVIDENCE ; EVIDENTIAL BELIEF FUNCTION ; FREQUENCY RATIO ; LOGISTIC-REGRESSION ; GIS ; REGION ; DELINEATION ; MAHARASHTRA ; DISTRICT
WOS类目	Environmental Studies
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/397695
推荐引用方式 GB/T 7714	Adesola, Gbenga Olamide,Thamaga, Kgabo Humphrey,Gwavava, Oswald,et al. Groundwater Potential Zones Assessment Using Geospatial Models in Semi-Arid Areas of South Africa[J],2023,12(10).
APA	Adesola, Gbenga Olamide,Thamaga, Kgabo Humphrey,Gwavava, Oswald,&Pharoe, Benedict Kinshasa.(2023).Groundwater Potential Zones Assessment Using Geospatial Models in Semi-Arid Areas of South Africa.LAND,12(10).
MLA	Adesola, Gbenga Olamide,et al."Groundwater Potential Zones Assessment Using Geospatial Models in Semi-Arid Areas of South Africa".LAND 12.10(2023).