dc.contributor.author | Ferrans Ramírez, Pascual | |
dc.contributor.author | Torres, María N. | |
dc.contributor.author | Temprano, Javier | |
dc.contributor.author | Rodríguez Sánchez, Juan Pablo | |
dc.date.accessioned | 2022-02-10T13:14:34Z | |
dc.date.available | 2022-02-10T13:14:34Z | |
dc.date.issued | 2022-02-01 | |
dc.identifier.citation | Science of the Total Environment 806(2) : (2022) // Article ID 150447 | es_ES |
dc.identifier.issn | 0048-9697 | |
dc.identifier.issn | 1879-1026 | |
dc.identifier.uri | http://hdl.handle.net/10810/55418 | |
dc.description.abstract | 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. (c) 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). | es_ES |
dc.description.sponsorship | This work was supported by the Instituto Colombiano de Credito Educativo y Estudios Tecnicos en el Exterior (ICETEX) under programm Pasaporte a la Ciencia granted to the first author under the number 5334506. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.subject | urban drainage modeling | es_ES |
dc.subject | Water Sensitive Urban Design (WSUD) | es_ES |
dc.subject | optimized SUDS design | es_ES |
dc.subject | green infrastructure (GI) | es_ES |
dc.subject | decision support tools | es_ES |
dc.subject | sponge cities | es_ES |
dc.subject | stormwater management | es_ES |
dc.subject | water management | es_ES |
dc.subject | optimal location | es_ES |
dc.subject | treatment trains | es_ES |
dc.subject | climate-change | es_ES |
dc.subject | optimization | es_ES |
dc.subject | design | es_ES |
dc.subject | urbanization | es_ES |
dc.subject | performance | es_ES |
dc.title | Sustainable Urban Drainage System (SUDS) modeling supporting decision-making: A systematic quantitative review | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ | es_ES |
dc.rights.holder | Atribución-NoComercial-SinDerivadas 3.0 España | * |
dc.relation.publisherversion | https://www.sciencedirect.com/journal/science-of-the-total-environment | es_ES |
dc.identifier.doi | 10.1016/j.scitotenv.2021.150447 | |
dc.departamentoes | Ingeniería química y del medio ambiente | es_ES |
dc.departamentoeu | Ingeniaritza kimikoa eta ingurumenaren ingeniaritza | es_ES |