Assessment and economic evaluation of delineation of agricultural groundwater potential zones using geo-spatial and multi-influencing factor techniques

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成果类型：

期刊论文

作者：

Jie, Yu;Ullah, Niamat;Tariq, Aqil;Panezai, Sanaullah;Abdullah-Al-Wadud, M.;...

通讯作者：

Tariq, A;Ullah, S

作者机构：

[Jie, Yu] Hunan Agr Univ, Sch Econ, Changsha 410128, Hunan, Peoples R China.

[Panezai, Sanaullah] Univ Balochistan, Dept Geog & Reg Planning, Quetta 87300, Pakistan.

[Tariq, Aqil] Mississippi State Univ, Coll Forest Resources, Dept Wildlife Fisheries & Aquaculture, Mississippi State, MS 39762 USA.

[Abdullah-Al-Wadud, M.] King Saud Univ, Coll Comp & Informat Sci, Dept Software Engn, Riyadh 11543, Saudi Arabia.

[Ullah, Sajid] Nangarhar Univ, Dept Water Resources & Environm Engn, Nangarhar 2600, Afghanistan.

通讯机构：

[Ullah, S ] N

[Tariq, A ] M

Mississippi State Univ, Coll Forest Resources, Dept Wildlife Fisheries & Aquaculture, Mississippi State, MS 39762 USA.

Nangarhar Univ, Dept Water Resources & Environm Engn, Nangarhar 2600, Afghanistan.

语种：

英文

关键词：

Geospatial technique;Multi-influencing factor (MIF);Groundwater potential zones;Remote sensing (RS);Geographic information system (GIS)

期刊：

APPLIED WATER SCIENCE

ISSN：

2190-5487

年：

2025

卷：

期：

页码：

1-13

DOI：

10.1007/s13201-025-02567-2

基金类别：

The author acknowledge the Ongoing Research Funding program (ORF-2025-951), Kind Saud University, Riyadh, Saudi Arabia.

机构署名：

本校为第一机构

院系归属：

经济学院

摘要：

Climate change has affected groundwater resources worldwide. Consequently, Pakistan is ranked in the world’s top ten climate change-affected countries and is experiencing a water stress situation. Remote sensing and geographic information systems (RS and GIS) play important roles in preserving water resources. This study was carried out in one of the most climate-affected provinces of Pakistan to delineate potential groundwater resources. This study has integrated RS, GIS, and multi-influencing factor (MIF) techniques for delineating groundwat...

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Assessment and economic evaluation of delineation of agricultural groundwater potential zones using geo-spatial and multi-influencing factor techniques

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