2019
DOI: 10.1016/j.scitotenv.2019.06.051
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A planning-support tool for spatial suitability assessment of green urban stormwater infrastructure

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Cited by 98 publications
(67 citation statements)
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“…Previous research indicates that local authorities should lead the sponge city construction and be responsible for adaptation actions to be taken in the early stages of policy processes [29]. However, unclear relevant actors within the local authority are also confronted with unclear leadership, with urban planners being potential leaders during sponge city construction.…”
Section: Discussionmentioning
confidence: 99%
“…Previous research indicates that local authorities should lead the sponge city construction and be responsible for adaptation actions to be taken in the early stages of policy processes [29]. However, unclear relevant actors within the local authority are also confronted with unclear leadership, with urban planners being potential leaders during sponge city construction.…”
Section: Discussionmentioning
confidence: 99%
“…In previous studies, prioritizing sites based on their potential to generate stormwater runoff was one of the least addressed subjects. In addition, prior studies either overlooked integrated hydrological-hydraulic benefits with other indirect benefits of LID (i.e., socioeconomic or environmental status [64]), or used inadequate types and numbers of assessment criteria [46] (e.g., the hydrological-hydraulic benefits or indirect benefits were overlooked). Also, many of previous studies were based on an SWM model.…”
Section: Geospatial Physically-based Frameworkmentioning
confidence: 99%
“…Therefore, the objective of the present research was to develop a physically-based geospatial decision-making framework to identify the demand for LID in urban areas. The proposed framework is conceptually similar to and builds on existing frameworks (e.g., [46] and [60])-as geospatial data is used to determine LID demand. However, the proposed framework introduces three new indices and two new heuristic relationships to determine LID demand which integrates both the direct and indirect benefits of LID.…”
Section: Geospatial Physically-based Frameworkmentioning
confidence: 99%
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