A decision tool for groundwater-surface water interaction assessment method selection: Application to case studies in Iran

Understanding groundwater–surface water (GW/SW) interactions is fundamental to hydrologic system integrity, particularly in arid and semi-arid regions where unsaturated zone processes exert a dominant influence on recharge, discharge, and exchange dynamics. Despite its importance, existing assessment frameworks often lack spatial adaptability and fail to account for local hydrogeologic complexity, data limitations, and implementation constraints. This study introduces the Iranian Groundwater–Surface Water Interaction Method Selection Decision Tool (IR-GWSW-IA-MSDT), a modular, semi-quantitative framework designed to facilitate scientifically robust and context-sensitive selection of GW/SW assessment methods. The tool synthesizes hydrogeological and socioeconomic indicators, spatially calibrated across 609 officially delineated study areas in Iran, to quantify the relative importance of GW/SW interactions. It employs a dual-pathway decision structure: the first ranks candidate methods based on their alignment with interaction importance scores and expert-assessed accuracy; the second filters methods according to user-defined objectives, data availability, technical feasibility, and site constraints. Evaluations incorporate both compatibility and functional adequacy across interaction types, including river–aquifer exchange, return flow, and precipitation-driven recharge. Application to three representative basins—Dezful-Andimeshk, Tehran-Karaj, and Urmia—demonstrates the tool’s capacity to recommend hydrologically appropriate and operationally feasible methods across diverse GW/SW regimes. Unlike conventional frameworks such as GW/SW-MST, IR-GWSW-IA-MSDT explicitly integrates unsaturated zone dynamics and enables flexible reconfiguration for regional or international contexts. By aligning method selection with both environmental relevance and institutional capacity, the tool supports improved groundwater–surface water governance and contributes to global sustainability targets, particularly SDG 6 (Clean Water and Sanitation) and SDG 13 (Climate Action). • A method selection decision tool was developed to assess the groundwater-surfacewater interaction. • It assists practitioners in identifying methods for studies of groundwater and surface water interactions. • It enables users to select answers to questions about site location, objectives, datasets, and user-accepted method categories. • It is set for the Iran’s situation while it can be updated and implemented across other regions around the world.

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Publication Details

Journal
Environmental and Sustainability Indicators
Published
2025-05-19
DOI
https://doi.org/10.1016/j.indic.2025.100726
Citations
1
Primary Topic
Groundwater and Isotope Geochemistry
Type
article
Field-Weighted Citation Impact
1.34

Funders

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article

A decision tool for groundwater-surface water interaction assessment method selection: Application to case studies in Iran

Hamed Ketabchi, Davood Mahmoodzadeh, Hossein Sadeghi-Jahani, Seyyed Mostafa Vafeghi
1 citations
Environmental and Sustainability Indicators
Groundwater and Isotope Geochemistry
1.34
article

A decision tool for groundwater-surface water interaction assessment method selection: Application to case studies in Iran

Hamed Ketabchi, Davood Mahmoodzadeh, Hossein Sadeghi-Jahani, Seyyed Mostafa Vafeghi
article en
1 citations

Abstract

Understanding groundwater–surface water (GW/SW) interactions is fundamental to hydrologic system integrity, particularly in arid and semi-arid regions where unsaturated zone processes exert a dominant influence on recharge, discharge, and exchange dynamics. Despite its importance, existing assessment frameworks often lack spatial adaptability and fail to account for local hydrogeologic complexity, data limitations, and implementation constraints. This study introduces the Iranian Groundwater–Surface Water Interaction Method Selection Decision Tool (IR-GWSW-IA-MSDT), a modular, semi-quantitative framework designed to facilitate scientifically robust and context-sensitive selection of GW/SW assessment methods. The tool synthesizes hydrogeological and socioeconomic indicators, spatially calibrated across 609 officially delineated study areas in Iran, to quantify the relative importance of GW/SW interactions. It employs a dual-pathway decision structure: the first ranks candidate methods based on their alignment with interaction importance scores and expert-assessed accuracy; the second filters methods according to user-defined objectives, data availability, technical feasibility, and site constraints. Evaluations incorporate both compatibility and functional adequacy across interaction types, including river–aquifer exchange, return flow, and precipitation-driven recharge. Application to three representative basins—Dezful-Andimeshk, Tehran-Karaj, and Urmia—demonstrates the tool’s capacity to recommend hydrologically appropriate and operationally feasible methods across diverse GW/SW regimes. Unlike conventional frameworks such as GW/SW-MST, IR-GWSW-IA-MSDT explicitly integrates unsaturated zone dynamics and enables flexible reconfiguration for regional or international contexts. By aligning method selection with both environmental relevance and institutional capacity, the tool supports improved groundwater–surface water governance and contributes to global sustainability targets, particularly SDG 6 (Clean Water and Sanitation) and SDG 13 (Climate Action). • A method selection decision tool was developed to assess the groundwater-surfacewater interaction. • It assists practitioners in identifying methods for studies of groundwater and surface water interactions. • It enables users to select answers to questions about site location, objectives, datasets, and user-accepted method categories. • It is set for the Iran’s situation while it can be updated and implemented across other regions around the world.

Environmental and Sustainability IndicatorsVol. 27
Tarbiat Modares University (IR)
Tarbiat Modares University
Openalex Percentile: Top 20%
Groundwater and Isotope Geochemistry
1.34
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