Relieving seawater intrusion and soil salinization in coastal sponge cities: An integrated approach for optimizing the rainfall infiltration thresholds.

Environ Res

School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, China; Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, Beijing, 100083, China. Electronic address:

Published: February 2025

Coastal regions often suffer from intertwined issues of seawater intrusion and soil salinization due to various factors. Although the application of rainwater infiltration measures in sponge city construction have shown effectiveness for stormwater control and water resource management, their role in addressing coastal ecological issues and the potential to identify optimal permeation thresholds to simultaneously mitigate these coastal challenges remains unexplored. This study developed an integrated modeling approach, including a rainfall infiltration model, variable density solute transport model, and statistical soil salinization model, to assess the impacts of different rainfall infiltration levels on seawater intrusion and soil salinization in Zhuanghe, China. The models were calibrated and validated using monthly observational data and extensive field sampling measurements. Scenario simulation analyses quantified sponge city implementation increased rainwater infiltration by 2.752 × 10 m/a and raised groundwater levels by 4 m compared to non-sponge conditions, thereby mitigating seawater intrusion extent, with intrusion area and distance reduced by 21% and 33% respectively after 20 years. However, excessive infiltration also rebounded soil salinity, reaching 0.015% higher than initial levels. A rainfall infiltration increase of approximately 2 × 10 m/a was identified as optimal threshold for simultaneously mitigating both issues in the region. This study provides quantitative insights into designing appropriate infiltration recharge strategies through coastal sponge city construction.

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http://dx.doi.org/10.1016/j.envres.2025.121167DOI Listing

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