Evaluating the impact of the environment on depleting groundwater resources: a case study from a semi-arid and arid climatic region

被引:4
|
作者
Rahman, Khalil Ur [1 ]
Hussain, Anwar [2 ]
Ejaz, Nuaman [3 ]
Shahid, Muhammad [4 ]
Duan, Zheng [5 ]
Mohammadi, Babak [5 ]
Pham Ngoc Hoai [6 ]
Quoc Bao Pham [6 ]
Khedher, Khaled Mohamed [7 ,8 ]
Duong Tran Anh [9 ]
机构
[1] Tsinghua Univ, Dept Hydraul Engn, State Key Lab Hydrosci & Engn, Beijing, Haidian, Peoples R China
[2] Univ Swat, Dept Econ & Dev Studies, Khyber Pakhtunkhwa, Pakistan
[3] King Abdulaziz Univ, Fac Meteorol Environm & Arid Land Agr, Dept Hydrol & Water Resources Management, Jeddah, Saudi Arabia
[4] Natl Univ Sci & Technol NUST, NICE, SCEE, Islamabad, Pakistan
[5] Lund Univ, Dept Phys Geog & Ecosyst Sci, Lund, Sweden
[6] Thu Dau Mot Univ, Inst Appl Technol, Thu Dau Mot, Binh Duong Prov, Vietnam
[7] King Khalid Univ, Coll Engn, Dept Civil Engn, Abha, Saudi Arabia
[8] Mrezgua Univ Campus, Dept Civil Engn, High Inst Technol Studies, Nabeul, Tunisia
[9] HUTECH Univ, Inst Appl Sci, 475A Dien Bien Phu,Ward 25, Ho Chi Minh City, Vietnam
关键词
environmental factors; groundwater resources; Bayesian network (BN); analytical hierarchy process (AHP); vulnerability; BAYESIAN NETWORKS; WATER-RESOURCES; HIERARCHY PROCESS; DECISION-SUPPORT; RISK-ASSESSMENT; INDUS BASIN; MANAGEMENT; PAKISTAN; MODELS; SUSCEPTIBILITY;
D O I
10.1080/02626667.2022.2044483
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
This study, for the first time, assesses the impact of critical environmental factors on groundwater using Bayesian network (BN) integrated with analytical hierarchy process (AHP) and develops a groundwater vulnerability map. The considered environmental factors are divided into the following categories: physical (rainfall, temperature (Tmax/Tmin), relative humidity (RHmax/RHmin)), water use and demand (surface water availability (SW) and number of tubewells (NTW)), agriculture and land use (total irrigated area (TIA), total cropped area (TCA), and total area sown (TAS)), and population. Results show a negative relationship of rainfall, RHmax/RHmin, and SW and a positive relationship of the remaining variables with groundwater. Elasticities demonstrate that a 1% change in SW (rainfall), major contributors, results in a decrease by 0.64% (0.55%) in groundwater in Bahawalpur (Multan). A 1% change in population (NTW), major consumers, results in an increase by 0.74% (0.70%) in depth to water table (DWT) across Jhang (Khanewal). The vulnerability map shows that high and very high vulnerability classes account for more than 50% of the total area of Punjab.
引用
收藏
页码:791 / 805
页数:15
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