Ferrans Pascual, Torres María N, Temprano Javier, Rodríguez Sánchez Juan Pablo
Departamento de Ciencias y Técnicas del Agua y del Medio Ambiente, Universidad de Cantabria, Spain; Escuela de Ingeniería de Bilbao, Universidad del País Vasco UPV/EHU, Spain.
Department of Civil, Structural and Environmental Engineering, University of Buffalo, USA; RENEW Institute, University of Buffalo, USA.
Sci Total Environ. 2022 Feb 1;806(Pt 2):150447. doi: 10.1016/j.scitotenv.2021.150447. Epub 2021 Sep 25.
Decision Support Systems (DSS) for Sustainable Urban Drainage Systems (SUDS) are a valuable aid for SUDS widespread adoption. These tools systematize the decision-making criteria and eliminate the bias inherent to expert judgment, abridging the technical aspect of SUDS for non-technical users and decision-makers. Through the collection and careful assessment of 120 papers on SUDS models and SUDS-DSS, this review shows how these tools are built, selected, and used to assist decision-makers questions. The manuscript classifies the DSS based on the question they assist in answering, the spatial scale used, the software selected, among other aspects. SUDS-DSS aspects that require more attention are identified, including environmental and social considerations, SUDS trains performance and criteria for selection, stochasticity of rainfall, and future scenarios impact. Suggestions for SUDS-DSS are finally offered to better equip decision-makers in facing emerging stormwater challenges in urban centers.
用于可持续城市排水系统（SUDS）的决策支持系统（DSS）是促进SUDS广泛采用的宝贵工具。这些工具将决策标准系统化，消除专家判断中固有的偏差，为非技术用户和决策者简化了SUDS的技术层面。通过收集和仔细评估120篇关于SUDS模型和SUDS-DSS的论文，本综述展示了这些工具是如何构建、选择和用于协助决策者解决问题的。该手稿根据所协助回答的问题、所使用的空间尺度、所选软件等方面对DSS进行了分类。确定了需要更多关注的SUDS-DSS方面，包括环境和社会因素、SUDS序列性能和选择标准、降雨的随机性以及未来情景的影响。最后为SUDS-DSS提供了建议，以便更好地帮助决策者应对城市中心新出现的雨水挑战。
