Podrobná bibliografia
| Názov: |
Adaptive Flood Mitigation Planning: Harnessing the Maximum Capability of Strategic Green Stormwater Infrastructure |
| Autori: |
Muangsri, Suphicha, McWilliam, Wendy, Lawson, Gillian |
| Zdroj: |
Landscape Review, Vol 20, Iss 1 (2024) |
| Informácie o vydavateľovi: |
Lincoln University, 2024. |
| Rok vydania: |
2024 |
| Predmety: |
HD101-1395.5, low-lying coastal city, ANZSRC::330404 Land use and environmental planning, ANZSRC::370201 Climate change processes, ANZSRC::330107 Architecture management, ANZSRC::310406 Evolutionary impacts of climate change, NA1-9428, ANZSRC::3304 Urban and regional planning, ANZSRC::3301 Architecture, adaptive planning, climate change, flood mitigation, ANZSRC::330303 Design for disaster relief, Architecture, Land use, green stormwater infrastructure, ANZSRC::330109 Landscape architecture |
| Popis: |
Flooding in low-lying coastal cities is expected to worsen with climate change, and planning for long-term flood mitigation is challenging due to high uncertainty in projections. There are risks associated with under- or over-investment in expensive grey infrastructure. Implementing green stormwater infrastructure (GSI) on strategically large private properties may be a lower-risk alternative. In our previous studies published in 2022 and currently under review, we found that the capability of industrial properties to supplement city flood mitigation was substantial. They could offset climate change impacts in the long term, even under a major climate change scenario, and reduce flood probabilities. In this article, we restate their potential as a case study of large private properties to draw more attention from practitioners and transfer scientific knowledge into practice. The maximum flood mitigation capabilities of large private properties can be met through networks of GSI facilities and a long-term adaptation plan that considers all possible approaches to implementing GSI over time. However, government regulations and policies are likely to be needed to support their implementation to the maximum capabilities. |
| Druh dokumentu: |
Article |
| Jazyk: |
English |
| ISSN: |
2253-1440 |
| DOI: |
10.34900/lr.v20i1.1212 |
| Prístupová URL adresa: |
https://doaj.org/article/ae4743963d1d4dcdb3fe763abb395341 |
| Rights: |
CC BY |
| Prístupové číslo: |
edsair.dedup.wf.002..94d147cbaa01ec4db46a861d6e32e7ed |
| Databáza: |
OpenAIRE |