Unveiling Groundwater Potential in Hangu District, Pakistan: A GIS-Driven Bivariate Modeling and Remote Sensing Approach for Achieving SDGs DOI Open Access
Abdur Rehman, Lianqing Xue, Fakhrul Islam

et al.

Water, Journal Year: 2024, Volume and Issue: 16(22), P. 3317 - 3317

Published: Nov. 18, 2024

Sustainable groundwater development stands out as a contemporary concern for growing global populations, particularly in stressed riverine arid and semi-arid regions. This study integrated satellite-based (Sentinel-2, ALOS-DEM, CHIRPS rainfall) data with ancillary lithology infrastructure datasets using Weight of Evidence (WoE) Frequency Ratio (FR) models to delineate Groundwater Potential Zones (GWPZs) the Hangu District, hydrologically region northern Pakistan, support Development Goals (SDGs). Ten key variables, including elevation, slope, aspect, distance drainage (DD), rainfall, land use/land cover, Normalized Difference Vegetation Index, lithology, road proximity, were incorporated into Geographic information system (GIS) environment. The FR model outperformed WoE model, achieving success prediction rates 89% 93%, compared 82% 86%. GWPZs-FR identified 23% (317 km2) high potential, located highly fractured pediment fans below 550 m, gentle slopes (<5 degrees), DD (within 200 m), rainfall areas natural trees vegetation on valley terrace deposits. research findings significantly multiple SDGs, estimated achievement potentials 37.5% SDG 6 (Clean Water Sanitation), 20% 13 (Climate Action), 15% 8 (Decent Work Economic Growth), 12.5% 9 (Industry, Innovation, Infrastructure), notable contributions 10% 2 5% 3. approach provides valuable insights policymakers, offering framework managing resources advancing sustainable practices similar

Language: Английский

Sustainable urban water management through the application of smart water meters in developing countries: example case study from Pakistan DOI Creative Commons
Toqeer Ahmed, Mumtaz Ahmed,

Hassan Sipra

et al.

Sustainable Water Resources Management, Journal Year: 2025, Volume and Issue: 11(2)

Published: March 1, 2025

Language: Английский

Citations

0
Unveiling Groundwater Potential in Hangu District, Pakistan: A GIS-Driven Bivariate Modeling and Remote Sensing Approach for Achieving SDGs DOI Open Access
Abdur Rehman, Lianqing Xue, Fakhrul Islam

et al.

Water, Journal Year: 2024, Volume and Issue: 16(22), P. 3317 - 3317

Published: Nov. 18, 2024

Sustainable groundwater development stands out as a contemporary concern for growing global populations, particularly in stressed riverine arid and semi-arid regions. This study integrated satellite-based (Sentinel-2, ALOS-DEM, CHIRPS rainfall) data with ancillary lithology infrastructure datasets using Weight of Evidence (WoE) Frequency Ratio (FR) models to delineate Groundwater Potential Zones (GWPZs) the Hangu District, hydrologically region northern Pakistan, support Development Goals (SDGs). Ten key variables, including elevation, slope, aspect, distance drainage (DD), rainfall, land use/land cover, Normalized Difference Vegetation Index, lithology, road proximity, were incorporated into Geographic information system (GIS) environment. The FR model outperformed WoE model, achieving success prediction rates 89% 93%, compared 82% 86%. GWPZs-FR identified 23% (317 km2) high potential, located highly fractured pediment fans below 550 m, gentle slopes (<5 degrees), DD (within 200 m), rainfall areas natural trees vegetation on valley terrace deposits. research findings significantly multiple SDGs, estimated achievement potentials 37.5% SDG 6 (Clean Water Sanitation), 20% 13 (Climate Action), 15% 8 (Decent Work Economic Growth), 12.5% 9 (Industry, Innovation, Infrastructure), notable contributions 10% 2 5% 3. approach provides valuable insights policymakers, offering framework managing resources advancing sustainable practices similar

Language: Английский

Citations

3