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A review on implementing infiltration-based green infrastructure in shallow groundwater environments: Challenges, approaches, and progress

机译:浅层地下水环境中实施渗透的绿色基础设施的综述:挑战,方法和进展

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摘要

Urban water problems (e.g., increased runoff, inhibited infiltration, and groundwater recharge) are becoming increasingly serious, and green infrastructure (GI) has been demonstrated to be effective in tackling these problems and restoring the pre-development hydrologic cycle. However, shallow groundwater limits the implementation of infiltration-based GI. Although projects and studies have been conducted, knowledge of the hydrologic performance of infiltration-based GI, and the impact on shallow groundwater environments, has not been comprehensively summarized. In this review, we first identify the challenges of implementing infiltration-based GI in shallow groundwater environments, and then evaluate and compare the potential approaches to evaluating GI in such environments. We also summarize progress in the understanding of the performance and impact of GI in shallow groundwater environments from previous and ongoing engineering projects and academic studies. The main topics include the evaluation of the potential reduction in runoff control performance of GI, the formation of groundwater mounds, and groundwater contamination. We also assess the exploration of strategies for optimally allocating and designing GI in shallow groundwater environments. The distance between the bottom of the GI and the groundwater table, the selection of the media soil, and the design of underdrain pipes are the main considerations when implementing GI in shallow groundwater environments. The review is concluded with recommendations for future studies, which include conducting tracer monitoring and variably saturated modeling to track subsurface flows of GI, improving existing hydrological models, developing new multi-scale models, and utilizing more advanced data-driven artificial intelligence models to predict the performance and impact of GI and to process the monitoring data for model calibration.
机译:城市水问题(例如,增加径流,抑制渗透和地下水补给)正在变得越来越严重,并且已经证明绿色基础设施(GI)有效地解决这些问题并恢复预先开发的水文周期。然而,浅层地下水限制了基于渗透的GI的实施。虽然已经进行了项目和研究,但尚未全面地总结了对渗透的渗透性的水文性能以及对浅层地下水环境的影响。在这篇综述中,我们首先确定在浅地下水环境中实施基于渗透的GI的挑战,然后评估和比较在这种环境中评估GI的潜在方法。我们还总结了了解浅层地下水环境中GI的绩效和影响的进展,从前行的工程项目和学术研究。主要话题包括评估GI的径流控制性能的潜在降低,地下水丘的形成和地下水污染。我们还评估浅层地下水环境中最佳分配和设计GI的策略探索。 GI底部与地下水位的距离,介质土壤的选择,以及透露管的设计是在浅地下水环境中实现GI时的主要考虑因素。该审查是核准未来研究的建议,包括进行示踪监测和可变饱和的建模,以跟踪地下的GI,改善现有的水文模型,开发新的多尺度模型,并利用更先进的数据驱动的人工智能模型来预测GI的性能和影响以及处理模型校准监控数据。

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