Academic Journal
A Multi-Objective Optimization Approach to Layout Planning of Bio-Retention Facilities Based on Digital Elevation Models
| Τίτλος: | A Multi-Objective Optimization Approach to Layout Planning of Bio-Retention Facilities Based on Digital Elevation Models |
|---|---|
| Συγγραφείς: | Xu, Hanwen, Randall, Mark, Hou, Qinghe |
| Πηγή: | Xu, H, Randall, M & Hou, Q 2025, 'A Multi-Objective Optimization Approach to Layout Planning of Bio-Retention Facilities Based on Digital Elevation Models', Landscape Architecture Frontiers, vol. 13, no. 5, pp. 104-115. https://doi.org/10.15302/J-LAF-0-020054 |
| Έτος έκδοσης: | 2025 |
| Συλλογή: | University of Copenhagen: Research / Forskning ved Københavns Universitet |
| Θεματικοί όροι: | Bio-Retention Facilities, Digital Elevation Model, Genetic Algorithm, Multi-Objective Optimization, Stormwater Management, Terrain Modification |
| Περιγραφή: | Under the trends of global urbanization and climate change, urban stormwater management has become increasingly critical in addressing urban flooding and water scarcity issues. Bio-retention facilities play a key role in stormwater management systems by reducing runoff volume and peak flow. Surface elevation is directly related to the layout of facilities by influencing their sink areas, runoff paths, and retention capacity. This study treats the raster cells of the digital elevation model as optimization variables to establish the linkage between surface elevation modification and layout objectives, and employs the Non-dominated Sorting Genetic Algorithm II (NSGA-II) to solve for retention space and facility layout. At a demonstration site in Copenhagen, the method was tested under different constraint scenarios and proved capable of rapidly generating solution sets based on three objectives: maximizing retention volume, maximizing sink area, and minimizing total earthwork. The resulting surface elevation changes in the solution sets exhibited clear spatial differences and a gradient of retention benefits. Furthermore, this paper discussed optimization efficiency, solution set probability visualization, and layout strategies, providing feasible roadmaps and insights for identifying potential stormwater retention spaces and improving blue–green infrastructure planning. |
| Τύπος εγγράφου: | article in journal/newspaper |
| Περιγραφή αρχείου: | application/pdf |
| Γλώσσα: | English |
| ISSN: | 2096-336X |
| Relation: | info:eu-repo/semantics/altIdentifier/pissn/2096-336X |
| DOI: | 10.15302/J-LAF-0-020054 |
| Διαθεσιμότητα: | https://researchprofiles.ku.dk/da/publications/332faf90-c6ca-4d7d-8fa1-3d299c3603c5 https://doi.org/10.15302/J-LAF-0-020054 https://curis.ku.dk/ws/files/523739321/A_Multi-Objective_Optimization_Approach_to_Layout_Planning_of_Bio-Retention_Facilities_Based_on_Digital_Elevation_Models.pdf |
| Rights: | info:eu-repo/semantics/openAccess |
| Αριθμός Καταχώρησης: | edsbas.34A2518B |
| Βάση Δεδομένων: | BASE |
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