Advancing Groundwater Sustainability: Integrated Risk Assessment and Management Strategies

A special issue of Geosciences (ISSN 2076-3263).

Deadline for manuscript submissions: 15 June 2026 | Viewed by 803

Special Issue Editors

Department of Geological Sciences, George Washington University, Washington, DC 20052, USA
Interests: hydrology; groundwater contamination and risk assessment; GIS and remote sensing in hydrogeology; numerical modeling of groundwater flow

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Guest Editor
Interdisciplinary Department of Remote Sensing and GIS Applications, Aligarh Muslim University, Aligarh 202002, India
Interests: computational hydrology; stream-aquifer interactions; GIS and remote sensing in hydrogeology; geomorphology

Special Issue Information

Dear Colleagues,

Groundwater sustainability is a critical challenge in the face of climate variability, increasing demand and contamination threats. A multidisciplinary approach that integrates hydrogeological risk assessments, modeling, policy-driven management strategies, and advanced computational techniques is required to ensure long-term availability and quality of groundwater. This Special Issue, titled “Advancing Groundwater Sustainability: Integrated Risk Assessment and Management Strategies”, aims to showcase innovative research that enhances our understanding of groundwater systems and supports the development of sustainable water resource management solutions.

This Special Issue will feature studies that apply numerical modeling of aquifer dynamics, GIS and remote sensing for groundwater risk assessment and mapping, machine learning in hydrology, and emerging technologies for contamination mitigation. It will also highlight research on climate-resilient water management, groundwater recharge strategies, and regulatory frameworks for sustainable governance.

We invite contributions that offer novel methodologies, case studies, and cross-disciplinary insights with respect to the following topics:

  • Groundwater vulnerability and risk assessment.
  • Hydrogeochemical processes and water quality monitoring.
  • GIS and remote sensing in hydrogeology.
  • Stream–aquifer interactions and surface water–groundwater exchange.
  • Computational hydrology and numerical modeling.
  • Groundwater contamination and remediation strategies.
  • Climate change impacts on groundwater resources.
  • Managed aquifer recharge and water conservation.
  • Policy frameworks for groundwater governance.

Dr. Arina Khan
Dr. Haris Hasan Khan
Guest Editors

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Keywords

  • groundwater sustainability
  • hydrogeological risk assessment
  • numerical modelling
  • remote sensing
  • GIS applications in hydrology
  • managed aquifer recharge
  • groundwater contamination
  • climate change impacts
  • water resource management
  • policy and governance

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Published Papers (1 paper)

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Research

21 pages, 15740 KB  
Article
A Dual-Method Assessment of the Yarmouk Basin’s Groundwater Vulnerability Using SINTACS and Random Forest
by Ibraheem Hamdan, Ahmad AlShdaifat, Majed Ibrahim, Abdel Rahman Al-Shabeeb, Rida Al-Adamat and A’kif Al-Fugara
Geosciences 2025, 15(11), 414; https://doi.org/10.3390/geosciences15110414 - 30 Oct 2025
Viewed by 458
Abstract
Water scarcity and increased human pressures are crucial issues facing Jordan. Chemical pollutants significantly influence groundwater quality in Jordan due to increased pollution risks, ease of contamination, and various human activities that release harmful compounds into the groundwater. The Yarmouk River Groundwater Basin [...] Read more.
Water scarcity and increased human pressures are crucial issues facing Jordan. Chemical pollutants significantly influence groundwater quality in Jordan due to increased pollution risks, ease of contamination, and various human activities that release harmful compounds into the groundwater. The Yarmouk River Groundwater Basin (YRB) is one of the main basins in northern Jordan. It is exploited for domestic, drinking, agricultural, and industrial uses. This study assessed the groundwater vulnerability for the YRB through the implementation of a dual-method approach, employing the SINTACS intrinsic groundwater vulnerability model and the Random Forest (RF) machine learning method. The results revealed similarities and differences between the two models. The delineation of low-vulnerability zones was similar, suggesting that the intrinsic hydrogeological characteristics of these areas provide robust natural protection against contamination. In addition, both models suggest that the eastern, northern, and southern parts are areas of ‘high’ and ‘very high’ vulnerability. Subtle differences can be observed, particularly in the precise delineation of boundaries and the fragmentation of vulnerability zones. Generally, the results show that over (47%) and (43%) of the basin area falls into the high- and very high-vulnerability classes, while the very low and low classes make up about (14%) and (15%), based on the SINTACS and RF models, respectively. Using the SINTACS and RF groundwater vulnerability assessments in the YRB provides valuable insights into groundwater susceptibility in this critical area of Jordan. The identified high- and very high-vulnerability areas within YRB highlight the urgent need for protective measures to safeguard this vital groundwater resource for both present and future generations. The SINTACS model proves to be a reliable tool for intrinsic vulnerability assessment in the study area, consistent with its application in other parts of Jordan and similar dry regions. Full article
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