Quantification of the flood mitigation ecosystem service by coupling hydrological and hydrodynamic models

IF 6.1 2区 环境科学与生态学 Q1 ECOLOGY Ecosystem Services Pub Date : 2024-06-14 DOI:10.1016/j.ecoser.2024.101640
Zixuan Xu , Jinfeng Ma , Hua Zheng , Lijing Wang , Lingxiao Ying , Ruonan Li , Yanzheng Yang
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Abstract

Flood mitigation service provides crucial information for reducing flood disasters and assessing ecosystem capacities by quantifying how much damage is reduced and how many benefiting areas are protected during flood events. However, there remains a gap in the full-process quantification, which results in less precise simulation outcomes. In this study, we introduce a novel methodology to accurately quantify the flood mitigation service of ecosystems by coupling hydrological and hydrodynamic models. We utilized the Hydrological Simulation Program-Fortran (HSPF) model to simulate peak flow and flood volume and then used these data as inputs for the Environmental Fluid Dynamics Code (EFDC) hydrodynamic model to simulate the spatial extent and depth of flood inundation. The contribution and capacity of the ecosystem are reflected through the reduction in peak flow, flood volume, and inundation areas. We used the Nandu Basin flood event in October 2010 as a case study to illustrate our approach, comparing our assessment results with those simulated by the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model and the Height Above Nearest Drainage (HAND) model. The results demonstrate that coupling the HSPF model (R2 = 0.93) with the EFDC model (overlap ratio = 83.71 %) allows for precise quantification of flood mitigation service. The process-based hydrological and hydrodynamic models show a high correlation with the simpler and faster InVEST and HAND model simulations, with the full-process models reducing relative errors by 7.66 % and 5.25 % respectively. This study offers a promising approach for accurately and comprehensively assessing flood mitigation ecosystem service and provides a basis for model selection.

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通过耦合水文和水动力模型量化洪水缓解生态系统服务
洪水减灾服务通过量化洪水事件中损失的减少程度和受益地区的数量,为减少洪水灾害和评估生态系统能力提供了重要信息。然而,在全过程量化方面仍存在差距,导致模拟结果不够精确。在本研究中,我们介绍了一种新方法,通过将水文模型和水动力模型结合起来,精确量化生态系统的洪水缓解服务。我们利用水文模拟程序-Fortran(HSPF)模型模拟峰值流量和洪水量,然后将这些数据作为环境流体动力学代码(EFDC)水动力模型的输入,模拟洪水淹没的空间范围和深度。生态系统的贡献和能力通过洪峰流量、洪水量和淹没面积的减少得以体现。我们以 2010 年 10 月的南渡江流域洪水事件为案例,将我们的评估结果与生态系统服务和权衡综合评估 (InVEST) 模型和最近排水口以上高度 (HAND) 模型模拟的结果进行比较,以说明我们的方法。结果表明,将 HSPF 模型(R2 = 0.93)与 EFDC 模型(重叠率 = 83.71%)相结合,可以精确量化洪水缓解服务。基于过程的水文和水动力模型与更简单、更快速的 InVEST 和 HAND 模型模拟显示出很高的相关性,全过程模型分别减少了 7.66 % 和 5.25 % 的相对误差。这项研究为准确、全面地评估洪水缓解生态系统服务提供了一种可行的方法,并为模型选择提供了依据。
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来源期刊
Ecosystem Services
Ecosystem Services ECOLOGYENVIRONMENTAL SCIENCES&-ENVIRONMENTAL SCIENCES
CiteScore
14.90
自引率
7.90%
发文量
109
期刊介绍: Ecosystem Services is an international, interdisciplinary journal that is associated with the Ecosystem Services Partnership (ESP). The journal is dedicated to exploring the science, policy, and practice related to ecosystem services, which are the various ways in which ecosystems contribute to human well-being, both directly and indirectly. Ecosystem Services contributes to the broader goal of ensuring that the benefits of ecosystems are recognized, valued, and sustainably managed for the well-being of current and future generations. The journal serves as a platform for scholars, practitioners, policymakers, and other stakeholders to share their findings and insights, fostering collaboration and innovation in the field of ecosystem services.
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