Webbläsaren som du använder stöds inte av denna webbplats. Alla versioner av Internet Explorer stöds inte längre, av oss eller Microsoft (läs mer här: * https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Var god och använd en modern webbläsare för att ta del av denna webbplats, som t.ex. nyaste versioner av Edge, Chrome, Firefox eller Safari osv.

Default user image.

Zheng Duan

Universitetslektor

Default user image.

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

Författare

  • Khalil Ur Rahman
  • Anwar Hussain
  • Nuaman Ejaz
  • Muhammad Shahid
  • Zheng Duan
  • Babak Mohammadi
  • Pham Ngoc Hoai
  • Quoc Bao Pham
  • Khaled Mohamed Khedher
  • Duong Tran Anh

Summary, in English

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.

Avdelning/ar

  • MERGE: ModElling the Regional and Global Earth system
  • Institutionen för naturgeografi och ekosystemvetenskap

Publiceringsår

2022

Språk

Engelska

Publikation/Tidskrift/Serie

Hydrological Sciences Journal

Dokumenttyp

Artikel i tidskrift

Förlag

Taylor & Francis

Ämne

  • Water Engineering
  • Oceanography, Hydrology, Water Resources
  • Physical Geography

Nyckelord

  • Hydrology
  • Bayesian network (BN)
  • environmental factors
  • groundwater resources
  • Water resources management

Aktiv

Published

ISBN/ISSN/Övrigt

  • ISSN: 0262-6667