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Data-driven and numerical simulation coupling to quantify the impact of ecological water replenishment on surface water-groundwater interactions
Journal of Hydrology ( IF 5.9 ) Pub Date : 2024-12-11 , DOI: 10.1016/j.jhydrol.2024.132508 Kewei Lyu, Yihan Dong, Wensheng Lyu, Yan Zhou, Sufen Wang, Zhaomeng Wang, Weizhe Cui, Yaobin Zhang, Qiulan Zhang, Yali Cui
Journal of Hydrology ( IF 5.9 ) Pub Date : 2024-12-11 , DOI: 10.1016/j.jhydrol.2024.132508 Kewei Lyu, Yihan Dong, Wensheng Lyu, Yan Zhou, Sufen Wang, Zhaomeng Wang, Weizhe Cui, Yaobin Zhang, Qiulan Zhang, Yali Cui
Ecological water replenishment (EWR) integrates surface and groundwater regulation to promote riverine baseflows and support groundwater recovery, affecting their interactions. This study introduces SWAT-LSTM-MODFLOW, an advanced SWAT-MODFLOW model incorporating LSTM networks to improve predictive accuracy in data-scarce watersheds. Applied to the Beijing section of the Yongding River Basin, the model evaluates the impact of EWR via reservoir and reclaimed water releases on groundwater recovery and SW-GW interactions. Results show that EWR enhanced groundwater levels in the short term, particularly at the mountain-plain boundary, with increases up to 5 m during high-volume replenishments. Repeated replenishments from 2019 to 2022 shifted dynamics from river seepage to increased groundwater recharge, particularly near replenishment zones. These findings highlight EWR’s role in transforming SW-GW dynamics and enhancing hydrological connectivity. This study provides a quantitative framework for assessing artificial recharge effects on groundwater and SW-GW interactions, offering a scalable methodology for similar hydrogeological conditions.
更新日期：2024-12-11
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