A review of factors affecting the performance and impact of managed aquifer recharge projects: Insights from arid regions

Managed Aquifer Recharge (MAR) is a strategic approach to artificially replenishing groundwater supplies and has become an integral component of global water resource management. The number of MAR projects has steadily increased in recent decades, yet many have failed to achieved their intended outcomes, underscoring the complexity of project implementation. This review is dedicated to examine existing research and reports on MAR performance and impacts, aiming to establish objective criteria for gauging the success and identify key factors influencing the effectiveness of MAR project. Five critical performance factors have been identified as major determinants of MAR performance: aquifer transmissivity, vertical permeability, availability of recharge water, recharge water quality, and aquifer thickness, geometry and boundary conditions. These factors are directly related to project success and significantly shape MAR outcomes. In addition, this review explores research-based strategies to improve MAR success, including cutting-edge methodologies, technological innovations, and integrated management approaches to address key challenges. The ultimate goal is to foster more efficient, effective, and sustainable MAR practices, thereby enhancing the resilience and sustainability of water resource management.

Authors

Publication Details

Journal
Journal of Groundwater Science and Engineering
Published
2025-08-18
DOI
https://doi.org/10.26599/jgse.2025.9280057
Citations
1
Primary Topic
Groundwater and Isotope Geochemistry
Type
article
Field-Weighted Citation Impact
1.34
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A review of factors affecting the performance and impact of managed aquifer recharge projects: Insights from arid regions

Ali K. Al-Maktoumi
1 citations
Journal of Groundwater Science and Engineering
Groundwater and Isotope Geochemistry
1.34
article

A review of factors affecting the performance and impact of managed aquifer recharge projects: Insights from arid regions

Ali K. Al-Maktoumi
article en
1 citations

Abstract

Managed Aquifer Recharge (MAR) is a strategic approach to artificially replenishing groundwater supplies and has become an integral component of global water resource management. The number of MAR projects has steadily increased in recent decades, yet many have failed to achieved their intended outcomes, underscoring the complexity of project implementation. This review is dedicated to examine existing research and reports on MAR performance and impacts, aiming to establish objective criteria for gauging the success and identify key factors influencing the effectiveness of MAR project. Five critical performance factors have been identified as major determinants of MAR performance: aquifer transmissivity, vertical permeability, availability of recharge water, recharge water quality, and aquifer thickness, geometry and boundary conditions. These factors are directly related to project success and significantly shape MAR outcomes. In addition, this review explores research-based strategies to improve MAR success, including cutting-edge methodologies, technological innovations, and integrated management approaches to address key challenges. The ultimate goal is to foster more efficient, effective, and sustainable MAR practices, thereby enhancing the resilience and sustainability of water resource management.

Journal of Groundwater Science and EngineeringVol. 13(3)
Openalex Percentile: Top 17%
Groundwater and Isotope Geochemistry
1.34
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.