Sensitivity analysis of permeable pavement hydrological modelling in the Storm Water Management Model

[EN] The Storm Water Management Model (SWMM), widely used by engineers to design or analyse stormwater networks, allows to model the so-called Low Impact Development (LID) controls, which reduce the flow conveyed to traditional networks. But, values for LID control parameters are often unknown. Furt...

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Detalles Bibliográficos
Autores: Madrazo-Uribeetxebarria, Eneko, Garmendia Antín, Maddi, Almandoz Berrondo, Jabier, Andrés-Doménech, Ignacio|||0000-0003-4237-4863
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/182862
Acceso en línea:https://riunet.upv.es/handle/10251/182862
Access Level:acceso abierto
Palabra clave:Permeable pavement
SWMM
Low impact development
SUDS
Sensitivity analysis, Calibration
INGENIERIA HIDRAULICA
06.- Garantizar la disponibilidad y la gestión sostenible del agua y el saneamiento para todos
09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación
11.- Conseguir que las ciudades y los asentamientos humanos sean inclusivos, seguros, resilientes y sostenibles
13.- Tomar medidas urgentes para combatir el cambio climático y sus efectos
Descripción
Sumario:[EN] The Storm Water Management Model (SWMM), widely used by engineers to design or analyse stormwater networks, allows to model the so-called Low Impact Development (LID) controls, which reduce the flow conveyed to traditional networks. But, values for LID control parameters are often unknown. Furthermore, it is not always easy to link the cross-section materials to those provided by the model, particularly in the soil layer. This article provides a global sensitivity analysis for the PP type of LID control, in order to support practitioners in calibration tasks. The analysis explores what factors are the most influential and which can be fixed while calibrating a model. In particular, flow volume and peak are studied but the analysis also explores the influence of storm length and drain layer, which is optional. At the end, the most influential parameters, and those that can be neglected are presented, showing that we can focus on quite less parameters than initially given when calibrating a PP model in SWMM.