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Infrastructure benchmarking for semi-real urban stormwater networks

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Infrastructure benchmarking for semi-real urban stormwater networks

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dc.contributor.author Hesarkazzazi, Sina es_ES
dc.contributor.author Hajibabaei, Mohsen es_ES
dc.contributor.author Dastgir, Aun es_ES
dc.contributor.author Sitzenfrei, Robert es_ES
dc.date.accessioned 2024-07-10T09:23:47Z
dc.date.available 2024-07-10T09:23:47Z
dc.date.issued 2024-03-06
dc.identifier.isbn 9788490489826
dc.identifier.uri http://hdl.handle.net/10251/205898
dc.description.abstract [EN] Attaining accurate information on the underground urban drainage/storm networks is a very difficult task, specifically in (developing) countries undergoing urban expansion. The problem of limited data availability gets even worse when considering that most case studies cannot made public due to security reasons. This, therefore, shed light on the lack of possessing enough case studies with different topological characteristics/attributes for the urban drainage research community to regularly explore and exploit their strategies/methodologies in a unified and integrated manner, allowing scholars to analyse and even compare their implications. To cover this research gap, we developed a ready-to-use open-access database of a multitude of (semi) real urban stormwater case studies with different characteristics. Specifically, optimized centralized and decentralized stormwater networks are considered for creating the benchmarks while redundant flow pathways are introduced into these structures (by leveraging complex network analysis) to create more diverse characteristics. This allows that if for a real case study area, no further information is available (e.g., developing countries), with the proposed approach, a feasible model for principal evaluations can be created with very low efforts. We expect more scholars join this momentum in the future by adding more case studies with various attributes to form a comprehensive and rich database not only in terms of hydrodynamic models and case studies but also digital sensors and observation data (e.g., flow meter, rain gauge data, etc.). es_ES
dc.format.extent 9 es_ES
dc.language Inglés es_ES
dc.publisher Editorial Universitat Politècnica de València es_ES
dc.relation.ispartof 2nd International Join Conference on Water Distribution System Analysis (WDSA) & Computing and Control in the Water Industry (CCWI)
dc.rights Reconocimiento - No comercial - Compartir igual (by-nc-sa) es_ES
dc.subject Urban drainage networks es_ES
dc.subject Benchmarks es_ES
dc.subject Optimization es_ES
dc.subject Redundancy es_ES
dc.subject Functional resilience es_ES
dc.title Infrastructure benchmarking for semi-real urban stormwater networks es_ES
dc.type Capítulo de libro es_ES
dc.type Comunicación en congreso es_ES
dc.identifier.doi 10.4995/WDSA-CCWI2022.2022.14738
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Hesarkazzazi, S.; Hajibabaei, M.; Dastgir, A.; Sitzenfrei, R. (2024). Infrastructure benchmarking for semi-real urban stormwater networks. Editorial Universitat Politècnica de València. https://doi.org/10.4995/WDSA-CCWI2022.2022.14738 es_ES
dc.description.accrualMethod OCS es_ES
dc.relation.conferencename 2nd WDSA/CCWI Joint Conference es_ES
dc.relation.conferencedate Julio 18-22, 2022 es_ES
dc.relation.conferenceplace Valencia, España es_ES
dc.relation.publisherversion http://ocs.editorial.upv.es/index.php/WDSA-CCWI/WDSA-CCWI2022/paper/view/14738 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela OCS\14738 es_ES


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