CN 11-5366/S     ISSN 1673-1530
“风景园林,不只是一本期刊。”

基于HEC-RAS的多尺度河漫滩恢复适宜性评估框架构建与应用

Development and Application of a Multi-Scale Framework for Evaluating Floodplain Restoration Suitability Based on HEC-RAS

  • 摘要:
    目的 在城市化进程和极端气候变化的影响下,河流生态系统面临着生境退化和洪水风险。恢复河漫滩作为一种基于自然的解决方案,可提供防洪、生态及景观游憩等多重效益。因此,如何选择优先恢复的河漫滩以平衡流域的生态和社会效益,成为当前流域管理的核心科学问题。
    方法 整合高程、土地利用、植被以及土壤等多源数据,基于地理信息系统和HEC-RAS水动力模型,提出了一套系统的河漫滩恢复适宜性评估框架。该框架可识别各尺度上关键的水文、生态及社会经济等参数,采用熵权法计算漫滩恢复适宜性指数。以广州流溪河中下游流域为案例,筛选高恢复适宜性的漫滩区域,并通过水动力模型验证恢复效益。
    结果 流溪河中下游地区漫滩恢复适宜性较高,共筛选出9个适宜恢复的区域,这些区域多位于平坦的河岸带林地和水源补给充足的区域。单个漫滩恢复后显著增强了河流的水文调节功能,洪峰流量降低了7.7%,流量过程更平稳,同时在小规模洪水作用下适宜栖息地面积增加了56.52 hm2
    结论 所提出的评估框架有效识别了适宜恢复的潜在河漫滩,为科学优化河漫滩恢复选址提供了量化依据。恢复后预期可提升洪水防御和生态功能,同时兼顾社会游憩需求,为流域管理与漫滩恢复策略的制定提供了科学支持。

     

    Abstract:
    Objective River ecosystems are increasingly threatened by habitat degradation and heightened flood risks due to rapid urbanization and the intensification of extreme climate events. These pressures have led to significant habitat degradation, loss of biodiversity, and heightened flood risks in many regions worldwide. Restoring river floodplains, as a nature-based solution (NBS), offers a promising approach to mitigate these challenges by providing multiple benefits, including flood control, ecological restoration, and recreational opportunities. Floodplains can offer many benefits if properly restored. However, identifying floodplains with high restoration suitability remains a critical scientific challenge in basin management, particularly at the basin scale where multiple ecological and socio-economic factors must be considered. This research aims to develop a comprehensive framework for evaluating the suitability of river floodplain restoration, with the goal of maximizing social and ecological benefits at the basin scale. By focusing on the integration of hydrological, ecological, and socio-economic factors, this research seeks to provide a scientifically robust method for prioritizing floodplain restoration efforts.
    Methods This research proposes a multi-dimensional floodplain restoration suitability evaluation framework, integrating Geographic Information Systems (GIS) and the HEC-RAS (Hydrologic Engineering Center’s River Analysis System) hydrodynamic model. The framework incorporates multi-source data, including digital elevation models (DEM), land use classifications, vegetation indices (NDVI), soil types, and socio-economic factors, to evaluate the restoration potential of floodplains. The research area is divided into multiple sub-basins to capture hydrological and geomorphic variability. This research selects indicators at three scales through a multilevel hierarchical screening method: At the basin scale, the framework focuses on the hydrological processes and ecological functions of the entire basin; at the sub-basin scale, the framework evaluates the hydrological characteristics and geomorphological conditions of specific river segments or sub-basins; and at the site scale, the framework focuses on the impacts of localized hydrological processes, land use, and socio-economic factors on the restoration of floodplains. Through multi-scale and multi-dimensional synergistic evaluation, the research avoids not being able to conduct global analysis due to insufficient data, and also prevents ignoring the overall restoration effect by limiting to the local area. Key indicators such as hydrological conditions, ecological habitats, water quality, vegetation cover, and socio-economic factors are identified and quantified. For quantitative evaluation, the entropy weight method is employed to calculate the restoration suitability index, ensuring an objective weighting of each indicator. Finally, region-specific socio-economic factors are incorporated into the evaluation system for the final selection of restorable floodplains. Hydrodynamic simulations are conducted using HEC-RAS to model baseline and post-restoration scenarios. These simulations help evaluate changes in flood behavior and habitat conditions under various flow events. A case study is conducted in the middle and lower reaches of the Liuxi River Basin in Guangzhou, China, to validate the framework. The research area is selected due to its susceptibility to frequent flooding, rich biodiversity, and strategic importance in regional greenway planning.
    Results The evaluation results indicate that the middle and lower reaches of the Liuxi River Basin exhibit high floodplain restoration suitability. Nine floodplains are identified as highly suitable for restoration, located predominantly in low-slope riparian zones with minimal human development pressure. These areas demonstrate strong hydrological connectivity and favorable ecological conditions. The post-restoration simulations demonstrate significant improvements in hydrological regulation, with a 7.7% reduction in flood peak flow, and smoother flow change curves, indicating enhanced flood control capacity. From an ecological perspective, the restoration efforts have led to a substantial increase in suitable habitats for indicator species (e.g., Spinibarbus hollandi, a local fish species), with an expansion of 56.52 hm2 under one-year flood conditions. This suggests that restoration interventions can effectively recreate critical habitats and support species conservation. The research also highlights the importance of socio-economic factors, such as proximity to greenways and tourist attractions, in determining the feasibility and sustainability of restoration projects. The integration of these factors ensure that the selected floodplains not only provide ecological benefits but also align with local development goals.
    Conclusion This research presents a novel, comprehensive framework for evaluating floodplain restoration suitability that integrates hydrological modeling, ecological evaluation, and socio-economic analysis. The case study in the Liuxi River Basin demonstrates that the restored floodplains can significantly enhance flood defense capabilities and ecological functions, while also supporting recreational and socio-economic needs at multiple spatial scales. The integration of HEC-RAS simulations with GIS-based spatial data enables precise identification of high-priority areas, while the entropy weight method ensures that indicator weighting remains data-driven and objective. The framework not only enhances the scientific basis for restoration decision-making but also bridges the gap between ecological science and land-use planning. Importantly, it emphasizes the need to balance ecological objectives with socio-economic considerations, especially in densely populated and ecologically sensitive regions. As such, the methodology developed in this research may offer valuable insights for practitioners and policymakers seeking to implement nature-based solutions for river basin management. It is adaptable to other river systems facing similar challenges, and contributes to the broader discourse on sustainable urban water management, climate adaptation, and ecosystem resilience. Ultimately, the research underscores that successful floodplain restoration requires a holistic, interdisciplinary approach rooted in both science and local context.

     

/

返回文章
返回