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

Rahman, Khalil Ur ; Hussain, Anwar ; Ejaz, Nuaman ; Shahid, Muhammad ; Duan, Zheng LU ; Mohammadi, Babak LU orcid ; Hoai, Pham Ngoc ; Pham, Quoc Bao ; Khedher, Khaled Mohamed and Anh, Duong Tran (2022) In Hydrological Sciences Journal
Abstract

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.... (More)

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.

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author
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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Hydrology, Bayesian network (BN), environmental factors, groundwater resources, Water resources management
in
Hydrological Sciences Journal
publisher
Taylor & Francis
external identifiers
  • scopus:85127095456
ISSN
0262-6667
DOI
10.1080/02626667.2022.2044483
language
English
LU publication?
yes
additional info
Publisher Copyright: © 2022 IAHS.
id
0451e15f-c2d8-46ba-946b-633926b2140c
date added to LUP
2022-04-11 22:16:46
date last changed
2023-05-10 11:05:52
@article{0451e15f-c2d8-46ba-946b-633926b2140c,
  abstract     = {{<p>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.</p>}},
  author       = {{Rahman, Khalil Ur and Hussain, Anwar and Ejaz, Nuaman and Shahid, Muhammad and Duan, Zheng and Mohammadi, Babak and Hoai, Pham Ngoc and Pham, Quoc Bao and Khedher, Khaled Mohamed and Anh, Duong Tran}},
  issn         = {{0262-6667}},
  keywords     = {{Hydrology; Bayesian network (BN); environmental factors; groundwater resources; Water resources management}},
  language     = {{eng}},
  publisher    = {{Taylor & Francis}},
  series       = {{Hydrological Sciences Journal}},
  title        = {{Evaluating the impact of the environment on depleting groundwater resources: a case study from a semi-arid and arid climatic region}},
  url          = {{http://dx.doi.org/10.1080/02626667.2022.2044483}},
  doi          = {{10.1080/02626667.2022.2044483}},
  year         = {{2022}},
}