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Conference Paper: Assessing the robustness of green infrastructure under stochastic design storms and climate change scenarios
Title | Assessing the robustness of green infrastructure under stochastic design storms and climate change scenarios |
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Authors | |
Issue Date | 2017 |
Citation | 2017 American Geophysical Union (AGU) Fall Meeting: What Will You Discover?, New Orleans, LA, 11-15 December 2017 How to Cite? |
Abstract | Green infrastructures (GI) have been widely used to mitigate flood risk, improve surface water quality, and to restore predevelopment hydrologic regimes. Commonly-used GI include, bioretention system, porous pavement and green roof, etc. They are normally sized to fulfil different design criteria (e.g. providing certain storage depths, limiting peak surface flow rates) that are formulated for current climate conditions. While GI commonly have long lifespan, the sensitivity of their performance to climate change is however unclear. This study first proposes a method to formulate suitable design criteria to meet different management interests (e.g. different levels of first flush reduction and peak flow reduction). Then typical designs of GI are proposed. In addition, a high resolution stochastic design storm generator using copulas and random cascade model is developed, which is calibrated using recorded rainfall time series. Then, few climate change scenarios are generated by varying the duration and depth of design storms, and changing the parameters of the calibrated storm generator. Finally, the performance of GI with typical designs under the random synthesized design storms are then assessed using numerical modeling. The robustness of the designs is obtained by the comparing their performance in the future scenarios to the current one. This study overall examines the robustness of the current GI design criteria under uncertain future climate conditions, demonstrating whether current GI design criteria should be modified to account for climate change. |
Description | NH52A: Investigation, Monitoring, Projection, and Mitigation of Environmental Changes Related to Climate Change Impact I - Natural Hazards - No. NH52A-07 |
Persistent Identifier | http://hdl.handle.net/10722/269301 |
DC Field | Value | Language |
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dc.contributor.author | Chui, TFM | - |
dc.contributor.author | YANG, Y | - |
dc.date.accessioned | 2019-04-23T03:53:19Z | - |
dc.date.available | 2019-04-23T03:53:19Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | 2017 American Geophysical Union (AGU) Fall Meeting: What Will You Discover?, New Orleans, LA, 11-15 December 2017 | - |
dc.identifier.uri | http://hdl.handle.net/10722/269301 | - |
dc.description | NH52A: Investigation, Monitoring, Projection, and Mitigation of Environmental Changes Related to Climate Change Impact I - Natural Hazards - No. NH52A-07 | - |
dc.description.abstract | Green infrastructures (GI) have been widely used to mitigate flood risk, improve surface water quality, and to restore predevelopment hydrologic regimes. Commonly-used GI include, bioretention system, porous pavement and green roof, etc. They are normally sized to fulfil different design criteria (e.g. providing certain storage depths, limiting peak surface flow rates) that are formulated for current climate conditions. While GI commonly have long lifespan, the sensitivity of their performance to climate change is however unclear. This study first proposes a method to formulate suitable design criteria to meet different management interests (e.g. different levels of first flush reduction and peak flow reduction). Then typical designs of GI are proposed. In addition, a high resolution stochastic design storm generator using copulas and random cascade model is developed, which is calibrated using recorded rainfall time series. Then, few climate change scenarios are generated by varying the duration and depth of design storms, and changing the parameters of the calibrated storm generator. Finally, the performance of GI with typical designs under the random synthesized design storms are then assessed using numerical modeling. The robustness of the designs is obtained by the comparing their performance in the future scenarios to the current one. This study overall examines the robustness of the current GI design criteria under uncertain future climate conditions, demonstrating whether current GI design criteria should be modified to account for climate change. | - |
dc.language | eng | - |
dc.relation.ispartof | American Geophysical Union (AGU) Fall Meeting | - |
dc.title | Assessing the robustness of green infrastructure under stochastic design storms and climate change scenarios | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Chui, TFM: maychui@hku.hk | - |
dc.identifier.authority | Chui, TFM=rp01696 | - |
dc.identifier.hkuros | 289265 | - |