32 citations as recorded by crossref.

1. Understanding the exchange process between ground and surface water using mini drive point piezometer and mathematical models to identify suitable managed aquifer recharge sites S. Halder et al. https://doi.org/10.1007/s11356-023-28885-z
2. Estimating the impact of vadose zone heterogeneity on agricultural managed aquifer recharge: A combined experimental and modeling study T. Zhou et al. https://doi.org/10.1016/j.watres.2023.120781
3. Quantifying the effect of managed aquifer recharge on the hydrologic resilience of coupled surface-groundwater systems in northeast Germany J. Stautzebach et al. https://doi.org/10.1016/j.ejrh.2026.103533
4. Texture2Par: A texture-driven tool for estimating subsurface hydraulic properties L. Scantlebury et al. https://doi.org/10.1016/j.envsoft.2025.106372
5. Identifying suitable zones for integrated aquifer recharge and flood control in arid Qatar using GIS-based multi-criteria decision-making S. Aloui et al. https://doi.org/10.1016/j.gsd.2024.101137
6. Interfacial electron transfer from low-permeability lenses to transmissive zones enhanced by dissolved iron H. Wang et al. https://doi.org/10.1016/j.watres.2025.124426
7. Uncovering the gaps in managed aquifer recharge for sustainable groundwater management: A focus on hillslopes and mountains M. Meles et al. https://doi.org/10.1016/j.jhydrol.2024.131615
8. Modeling the fresh–saline water interface dynamics in coastal aquifers under managed aquifer recharge (MAR) S. Al-Yaqoubi et al. https://doi.org/10.1007/s40808-026-02757-0
9. Mapping sediment type at a recharge site with a towed electromagnetic system M. Goebel et al. https://doi.org/10.1016/j.agwat.2025.109750
10. Applicability of the Richards equation in infiltration simulation: A comparative study with the two-phase flow model H. Zhang et al. https://doi.org/10.1016/j.jhydrol.2026.135194
11. HYDRO-XM: a computationally efficient, externally coupled, and flexible watershed model M. Meles et al. https://doi.org/10.1016/j.jhydrol.2026.135954
12. Organosilanized Hydrophobic Sand for Drought Resilience: Reducing Water Percolation and Enhancing Crop Growth Conditions Y. Arcot et al. https://doi.org/10.1021/acsomega.5c03952
13. Groundwater recharge and MAR modelling: Input data, controlling processes, and future research priorities U. Khan & A. Baba https://doi.org/10.1007/s12665-026-13033-w
14. Measurement of vadose zone water content with direct-push nuclear magnetic resonance logging G. Osterman & R. Knight https://doi.org/10.1088/2515-7620/ada733
15. Redefining multi-soil-layering systems: Structural innovation and sulfur-autotrophic denitrification for decentralized wastewater treatment D. Sun et al. https://doi.org/10.1016/j.cej.2025.168392
16. Aquifer-specific flood forecasting using machine learning: A comparative analysis for three distinct sedimentary aquifers A. Ali & A. Ahmed https://doi.org/10.1016/j.scitotenv.2025.180756
17. Decadal simulation of winter deep percolation driven by snowmelt and precipitation using HYDRUS-1D N. Ali et al. https://doi.org/10.3389/fenvs.2026.1813971
18. A review of factors affecting the performance and impact of managed aquifer recharge projects: Insights from arid regions A. Al-Maktoumi https://doi.org/10.26599/JGSE.2025.9280057
19. Vadose zone infiltration wells for stormwater management and managed aquifer recharge: A global review and pre-/post-installation decision framework R. Gomes et al. https://doi.org/10.1080/10643389.2026.2678936
20. Depth-Dependent Effects of Dominant Tree Species on Soil Hydraulic Conductivity Q. Li et al. https://doi.org/10.3390/f17010077
21. Machine learning surrogates for efficient hydrologic modeling: Insights from stochastic simulations of managed aquifer recharge T. Dai et al. https://doi.org/10.1016/j.jhydrol.2024.132606
22. A conditioned Latin hypercube sampling design methodology for ground-truthing transient EM resistivity models G. Osterman et al. https://doi.org/10.1016/j.cageo.2024.105582
23. Time-lapse ensemble-based electrical resistivity tomography to monitor water flow from managed aquifer recharge operations M. Arboleda-Zapata et al. https://doi.org/10.1016/j.jhydrol.2025.133282
24. Soil water infiltration under thickening unsaturated zone: patterns, mechanisms, and quantitative formula K. Liu et al. https://doi.org/10.1016/j.jhydrol.2025.133450
25. Assessing recharge transit times in multilayered soil profiles influenced by preferential flow T. Zhou et al. https://doi.org/10.1016/j.jhydrol.2025.134144
26. Identification of feasible regions for managed aquifer recharge in the Republic of Cyprus using a co-participative multi-criteria decision analysis C. Panagiotou et al. https://doi.org/10.1016/j.gsd.2024.101323
27. Integration of clustering and principal component analyses in MCDA to identify feasible regions for managed aquifer recharge C. Panagiotou et al. https://doi.org/10.1016/j.jhydrol.2026.135316
28. Uncertainty-aware MAR planning with spatially explicit data-driven weighting C. Panagiotou et al. https://doi.org/10.1016/j.scitotenv.2026.181984
29. Reduction capacity in the transmissive zones fueled by the embedded low-permeability lenses: Implications for contaminant transformation in heterogeneous aquifers H. Wang et al. https://doi.org/10.1016/j.watres.2024.121955
30. Integration of Managed Aquifer Recharge into the Water Supply System in the Algarve Region, Portugal K. Standen et al. https://doi.org/10.3390/w15122286
31. Simulation of pesticide transport in 70-m-thick soil profiles in response to large water applications T. Zhou et al. https://doi.org/10.1016/j.jhazmat.2025.137517
32. PyHydroGeophysX: An extensible open-source platform for integrating hydrological models with geophysical measurements H. Chen et al. https://doi.org/10.1016/j.softx.2026.102710