Quantitative Stress Test of Compound Coastal‐Fluvial Floods in China's Pearl River Delta

Abstract Floods in river deltas are driven by complex interactions between astronomical tides, sea levels, storm surges, wind waves, rainfall‐runoff, and river discharge. Given the anticipated increase in compound flood hazards in river deltas in a warming climate, climate‐informed regional to local...

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Main Authors: Jiangchao Qiu, Bingjun Liu, Fang Yang, Xiaola Wang, Xiaogang He
Format: Article
Language:English
Published: Wiley 2022-05-01
Series:Earth's Future
Subjects:
Online Access:https://doi.org/10.1029/2021EF002638
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author Jiangchao Qiu
Bingjun Liu
Fang Yang
Xiaola Wang
Xiaogang He
author_facet Jiangchao Qiu
Bingjun Liu
Fang Yang
Xiaola Wang
Xiaogang He
author_sort Jiangchao Qiu
collection DOAJ
description Abstract Floods in river deltas are driven by complex interactions between astronomical tides, sea levels, storm surges, wind waves, rainfall‐runoff, and river discharge. Given the anticipated increase in compound flood hazards in river deltas in a warming climate, climate‐informed regional to local extreme water levels (EWLs) is thus critical for decision‐makers to evaluate flood hazards and take adaptation measures. We develop a simple yet computationally efficient stress test framework, which combines historical and projected climatological information and a state‐of‐the‐art hydrodynamic model, to assess future compound coastal‐fluvial flood hazards in river deltas. Our framework is applied in the world's largest single urban area, China's Pearl River Delta (PRD), which is also characterized by densely crossed river network. We find that extreme sea level is the dominant driver causing the compound coastal‐fluvial flood in the PRD over the past 60 years. Meanwhile, there is large spatial heterogeneity of the individual and compound effects of the typhoon intensity, local sea‐level rise, and riverine inflow on coastal‐fluvial floods. In a plausible disruptive scenario (e.g., a 0.50 m sea‐level rise combined with a 9% increase in typhoon intensity in a 2°C warming), the EWL will increase by 0.76 m on average. An additional 1.54 and 0.56 m increase in EWL will occur in the river network and near the river mouth, respectively, if coastal floods coincide with the upstream mean annual flood. Findings from our modeling framework provide important insights to guide adaptation planning in river deltas to withstand future compound floods under climate change.
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spelling doaj.art-53f8d3f9051b4c9c926f3bdf54dfed2c2022-12-22T00:53:25ZengWileyEarth's Future2328-42772022-05-01105n/an/a10.1029/2021EF002638Quantitative Stress Test of Compound Coastal‐Fluvial Floods in China's Pearl River DeltaJiangchao Qiu0Bingjun Liu1Fang Yang2Xiaola Wang3Xiaogang He4School of Geography and Planning Sun Yat‐Sen University Guangzhou ChinaSchool of Civil Engineering Sun Yat‐sen University Guangzhou ChinaKey Laboratory of the Pearl River Estuary Regulation and Protection of Ministry of Water Resources Guangzhou ChinaSchool of Civil Engineering Sun Yat‐sen University Guangzhou ChinaDepartment of Civil and Environmental Engineering National University of Singapore Singapore SingaporeAbstract Floods in river deltas are driven by complex interactions between astronomical tides, sea levels, storm surges, wind waves, rainfall‐runoff, and river discharge. Given the anticipated increase in compound flood hazards in river deltas in a warming climate, climate‐informed regional to local extreme water levels (EWLs) is thus critical for decision‐makers to evaluate flood hazards and take adaptation measures. We develop a simple yet computationally efficient stress test framework, which combines historical and projected climatological information and a state‐of‐the‐art hydrodynamic model, to assess future compound coastal‐fluvial flood hazards in river deltas. Our framework is applied in the world's largest single urban area, China's Pearl River Delta (PRD), which is also characterized by densely crossed river network. We find that extreme sea level is the dominant driver causing the compound coastal‐fluvial flood in the PRD over the past 60 years. Meanwhile, there is large spatial heterogeneity of the individual and compound effects of the typhoon intensity, local sea‐level rise, and riverine inflow on coastal‐fluvial floods. In a plausible disruptive scenario (e.g., a 0.50 m sea‐level rise combined with a 9% increase in typhoon intensity in a 2°C warming), the EWL will increase by 0.76 m on average. An additional 1.54 and 0.56 m increase in EWL will occur in the river network and near the river mouth, respectively, if coastal floods coincide with the upstream mean annual flood. Findings from our modeling framework provide important insights to guide adaptation planning in river deltas to withstand future compound floods under climate change.https://doi.org/10.1029/2021EF002638climate changesea level risetyphoon intensity increasehydrodynamic modelstress testtidal river delta
spellingShingle Jiangchao Qiu
Bingjun Liu
Fang Yang
Xiaola Wang
Xiaogang He
Quantitative Stress Test of Compound Coastal‐Fluvial Floods in China's Pearl River Delta
Earth's Future
climate change
sea level rise
typhoon intensity increase
hydrodynamic model
stress test
tidal river delta
title Quantitative Stress Test of Compound Coastal‐Fluvial Floods in China's Pearl River Delta
title_full Quantitative Stress Test of Compound Coastal‐Fluvial Floods in China's Pearl River Delta
title_fullStr Quantitative Stress Test of Compound Coastal‐Fluvial Floods in China's Pearl River Delta
title_full_unstemmed Quantitative Stress Test of Compound Coastal‐Fluvial Floods in China's Pearl River Delta
title_short Quantitative Stress Test of Compound Coastal‐Fluvial Floods in China's Pearl River Delta
title_sort quantitative stress test of compound coastal fluvial floods in china s pearl river delta
topic climate change
sea level rise
typhoon intensity increase
hydrodynamic model
stress test
tidal river delta
url https://doi.org/10.1029/2021EF002638
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AT bingjunliu quantitativestresstestofcompoundcoastalfluvialfloodsinchinaspearlriverdelta
AT fangyang quantitativestresstestofcompoundcoastalfluvialfloodsinchinaspearlriverdelta
AT xiaolawang quantitativestresstestofcompoundcoastalfluvialfloodsinchinaspearlriverdelta
AT xiaoganghe quantitativestresstestofcompoundcoastalfluvialfloodsinchinaspearlriverdelta