中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Comparative analysis of GIS and RS based models for delineation of groundwater potential zone mapping

文献类型:期刊论文

作者Islam, Fakhrul; Tariq, Aqil; Guluzade, Rufat; Zhao, Na; Shah, Safeer Ullah; Ullah, Matee; Hussain, Mian Luqman; Ahmad, Muhammad Nasar; Alasmari, Abdulrahman; Alzuaibr, Fahad M.
刊名GEOMATICS NATURAL HAZARDS & RISK
出版日期2023-12-31
卷号14期号:1页码:2216852
ISSN号1947-5713
关键词Ground water potential zones GIS RS FR AUC
DOI10.1080/19475705.2023.2216852
产权排序4
文献子类Article
英文摘要Groundwater is a crucial natural resource that varies in quality and quantity across Khyber Pakhtunkhwa (KPK), Pakistan. Increased population and urbanization place enormous demands on groundwater supplies, reducing both their quality and quantity. This research aimed to delineate the groundwater potential zone in the Kohat region, Pakistan by integrating twelve thematic layers. In the current research, Groundwater Potential Zone (GWPZ) were created by implementing Weight of Evidence (WOE), Frequency Ratio (FR), and Information Value (IV) models of the Kohat region. In this study, we used Sentinel-2 satellite data were utilized to generate an inventory map of groundwater using machine learning algorithms in Google Earth Engine (GEE). Furthermore, the validation was done with a field survey and ground data. The inventory data was divided into training (80%) and testing (20%) datasets. The WOE, FR, and IV models are applied to assess the relationship between inventory data and groundwater factors to generate the GWPZ of the Kohat region. Finally, the current research results of Area Under Curve (AUC) technique for WOE, FR, and IV models were 88%, 91%, and 89%. The final GWPZ can aid in better future planning for groundwater exploration, management, and supply of water in the Kohat region.
学科主题Geology ; Meteorology & Atmospheric Sciences ; Water Resources
WOS关键词GEOGRAPHICAL INFORMATION-SYSTEM ; WEIGHTS-OF-EVIDENCE ; LOGISTIC-REGRESSION ; BASIN ; VULNERABILITY ; AQUIFER ; REGION ; AREA
WOS研究方向Geology ; Meteorology & Atmospheric Sciences ; Water Resources
出版者TAYLOR & FRANCIS LTD
源URL[http://ir.igsnrr.ac.cn/handle/311030/193750]  
专题资源与环境信息系统国家重点实验室_外文论文
作者单位1.Mississippi State University
2.Wuhan University
3.Hohai University
4.Chinese Academy of Sciences
5.Institute of Geographic Sciences & Natural Resources Research, CAS
6.University of Vienna
7.University of Peshawar
8.University of Tabuk
9.Taif University
10.University of West Scotland
推荐引用方式
GB/T 7714
Islam, Fakhrul,Tariq, Aqil,Guluzade, Rufat,et al. Comparative analysis of GIS and RS based models for delineation of groundwater potential zone mapping[J]. GEOMATICS NATURAL HAZARDS & RISK,2023,14(1):2216852.
APA Islam, Fakhrul.,Tariq, Aqil.,Guluzade, Rufat.,Zhao, Na.,Shah, Safeer Ullah.,...&Aslam, Muhammad.(2023).Comparative analysis of GIS and RS based models for delineation of groundwater potential zone mapping.GEOMATICS NATURAL HAZARDS & RISK,14(1),2216852.
MLA Islam, Fakhrul,et al."Comparative analysis of GIS and RS based models for delineation of groundwater potential zone mapping".GEOMATICS NATURAL HAZARDS & RISK 14.1(2023):2216852.

入库方式: OAI收割

来源:地理科学与资源研究所

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