Abstract. Management planning for aging dam infrastructure is typically conducted through the lens of a traditional cost-benefit analysis, in which flood characteristics are related to implementation costs while lacking endogenous consideration of environmental risks (i.e., pollutant dispersion, habitat disruption) and social impacts (i.e., vulnerability, community buy-in, hazard resiliency). To address this gap, we integrate cost-benefit ratios into a spatial multi-criterion decision analysis framework that amalgamates a suite of social and environmental criteria with stakeholder-defined weights and inundation outputs from standard flood control modelling. We use this framework to assess the costs and trade-offs for eight (8) alternative mitigation strategies associated with the Addicks and Barker Reservoir System in Houston, Texas, USA under extreme rainfall conditions. This case study illustrates how the total effectiveness of flood management scenarios may shift when flood modelling outputs are combined with spatially distributed environmental and social risks. We merge quantitative and qualitative data for high-risk decision-making, thereby fostering stakeholder collaboration amongst conflicting goals.

中文翻译：

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通过结合成本效益和多标准决策分析，将社会、经济和环境风险整合到老化大坝基础设施的洪水管理中

摘要。老化大坝基础设施的管理规划通常通过传统成本效益分析的视角进行，其中洪水特征与实施成本相关，而缺乏对环境风险（即污染物扩散、栖息地破坏）和社会影响（即、脆弱性、社区认同、灾害弹性）。为了解决这一差距，我们将成本效益比整合到一个空间多标准决策分析框架中，该框架将一系列社会和环境标准与利益相关者定义的权重和标准防洪模型的淹没输出合并在一起。我们使用此框架来评估与德克萨斯州休斯顿的 Addicks 和 Barker 水库系统相关的八 (8) 种替代缓解策略的成本和权衡，美国在极端降雨条件下。本案例研究说明了当洪水建模输出与空间分布的环境和社会风险相结合时，洪水管理方案的总体有效性可能会发生怎样的变化。我们为高风险决策合并定量和定性数据，从而促进利益相关者在相互冲突的目标之间进行协作。