Data-driven and numerical simulation coupling to quantify the impact of ecological water replenishment on surface water-groundwater interactions

IF 5.9 1区地球科学 Q1 ENGINEERING, CIVIL

Journal of Hydrology 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

{"title":"Data-driven and numerical simulation coupling to quantify the impact of ecological water replenishment on surface water-groundwater interactions","authors":"Kewei Lyu, Yihan Dong, Wensheng Lyu, Yan Zhou, Sufen Wang, Zhaomeng Wang, Weizhe Cui, Yaobin Zhang, Qiulan Zhang, Yali Cui","doi":"10.1016/j.jhydrol.2024.132508","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"77 1","pages":""},"PeriodicalIF":5.9000,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hydrology","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1016/j.jhydrol.2024.132508","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}

引用次数: 0

Abstract

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.

查看原文本刊更多论文

生态补水（EWR）将地表水和地下水调节结合起来，以促进河流基流并支持地下水恢复，同时影响它们之间的相互作用。本研究介绍了 SWAT-LSTM-MODFLOW，这是一种结合 LSTM 网络的先进 SWAT-MODFLOW 模型，可提高数据稀缺流域的预测精度。该模型应用于永定河流域北京河段，评估了通过水库和再生水释放的 EWR 对地下水恢复和 SW-GW 相互作用的影响。结果表明，EWR 在短期内提高了地下水位，尤其是在山区与平原的交界处，在大水量补水期间，地下水位最高上升了 5 米。从 2019 年到 2022 年的多次补给将动态变化从河流渗漏转变为地下水补给的增加，尤其是在补给区附近。这些发现凸显了 EWR 在改变西南-地下水动态和加强水文连通性方面的作用。这项研究为评估人工补给对地下水和西南水文-地下水相互作用的影响提供了一个定量框架，为类似的水文地质条件提供了一种可扩展的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Journal of Hydrology 地学-地球科学综合

CiteScore

11.00

自引率

12.50%

发文量

1309

审稿时长

7.5 months

期刊介绍： The Journal of Hydrology publishes original research papers and comprehensive reviews in all the subfields of the hydrological sciences including water based management and policy issues that impact on economics and society. These comprise, but are not limited to the physical, chemical, biogeochemical, stochastic and systems aspects of surface and groundwater hydrology, hydrometeorology and hydrogeology. Relevant topics incorporating the insights and methodologies of disciplines such as climatology, water resource systems, hydraulics, agrohydrology, geomorphology, soil science, instrumentation and remote sensing, civil and environmental engineering are included. Social science perspectives on hydrological problems such as resource and ecological economics, environmental sociology, psychology and behavioural science, management and policy analysis are also invited. Multi-and interdisciplinary analyses of hydrological problems are within scope. The science published in the Journal of Hydrology is relevant to catchment scales rather than exclusively to a local scale or site.