Assessing Economic Loss from Urban Waterlogging in Beijing under Climate Change Using a Hydraulic Model DOI

Jiaxiang Zou,

Bin Chen, Cuncun Duan

et al.

ACS Sustainable Chemistry & Engineering, Journal Year: 2024, Volume and Issue: 12(35), P. 13090 - 13105

Published: Aug. 17, 2024

Long-term climate change has amplified the frequency of extreme events, such as intense short-duration heavy rainfall, which increased risk urban waterlogging. The severe economic losses that result warrant serious attention, but accurately quantifying remains a significant challenge. In this study, change-adapted loss evaluation framework is established for waterlogging using hydraulic model with coupled intercomparison project phase 6 (CMIP6) scenarios. Choosing Beijing case based on shared socioeconomic pathways (SSP) and representative concentration (RCP), we formulate three future scenarios (SSP2–RCP4.5, SSP3–RCP7.0, SSP5–RCP8.5) CMIP6 data. Next, simulate under each scenario four return period subscenarios employing InfoWorks integrated catchment management (InfoWorks ICM) model. We develop rate functions distinct land-use types in Beijing. Finally, quantify caused by find impacts an extensive area 199 million m2, or 26.05% study region, causes maximum estimated at 29.78 billion yuan 100 year recurrence SSP5–RCP8.5 scenario. largest are observed residential land use, closely followed commercial use. By offering method arising from change, aids implementation effective risk-management strategies.

Language: Английский

Enhancing flexibility and efficiency for urban waterlogging response scenarios simulation: an open-ended approach involving user participation DOI Creative Commons
Shuai Hong, Jie Shen,

Haoyu Yang

et al.

International Journal of Digital Earth, Journal Year: 2025, Volume and Issue: 18(1)

Published: Feb. 23, 2025

Language: Английский

Citations

0
Multi-Scenario Urban Waterlogging Risk Assessment Study Considering Hazard and Vulnerability DOI Open Access
Yanbin Li,

Tongxuan Huang,

Hongxing Li

et al.

Water, Journal Year: 2025, Volume and Issue: 17(6), P. 783 - 783

Published: March 8, 2025

In recent years, the increasing frequency of extreme rainfall has exacerbated urban waterlogging, which seriously constrained sustainable development cities. Given problem that impact social information on waterlogging risk is easy to ignore in assessment process, it great significance carry out a comprehensive and identify for prevention control. Based hazard–vulnerability framework, this study comprehensively considers flood disaster hazard socio-economic vulnerability multi-scenario central area Zhoukou. The results show that, assessment, proportions are expressed as medium > low higher high risk. For single shown difference ranges low, medium, higher, (−61.00%, −54.00%), (49.00%, 56.00%), (1.30%, 2.70%), (1.80%, 4.00%), respectively. It can be seen compared with introduction factor, highly increases correspondingly, while decreases relatively, more line actual situation.

Language: Английский

Citations

0
Risk Assessment of Campus Waterlogging and Evacuation Route Planning DOI
Feng Jing, Yu Tian,

Zheng Dao Xie

et al.

Water Resources Management, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

Citations

0
Urban drainage efficiency evaluation and flood simulation using integrated SWMM and terrain structural analysis DOI
Xuelian Zhang,

Aiqing Kang,

Xiaohui Lei

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 957, P. 177442 - 177442

Published: Nov. 19, 2024

Language: Английский

Citations

3
Practical drought risk assessment and management framework: A step toward sustainable modernization in agricultural water management DOI

Javad Pourmahmoud,

Seied Mehdy Hashemy Shahdany, Abbas Roozbahani

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: unknown, P. 132121 - 132121

Published: Sept. 1, 2024

Language: Английский

Citations

1
Assessing Economic Loss from Urban Waterlogging in Beijing under Climate Change Using a Hydraulic Model DOI

Jiaxiang Zou,

Bin Chen, Cuncun Duan

et al.

ACS Sustainable Chemistry & Engineering, Journal Year: 2024, Volume and Issue: 12(35), P. 13090 - 13105

Published: Aug. 17, 2024

Long-term climate change has amplified the frequency of extreme events, such as intense short-duration heavy rainfall, which increased risk urban waterlogging. The severe economic losses that result warrant serious attention, but accurately quantifying remains a significant challenge. In this study, change-adapted loss evaluation framework is established for waterlogging using hydraulic model with coupled intercomparison project phase 6 (CMIP6) scenarios. Choosing Beijing case based on shared socioeconomic pathways (SSP) and representative concentration (RCP), we formulate three future scenarios (SSP2–RCP4.5, SSP3–RCP7.0, SSP5–RCP8.5) CMIP6 data. Next, simulate under each scenario four return period subscenarios employing InfoWorks integrated catchment management (InfoWorks ICM) model. We develop rate functions distinct land-use types in Beijing. Finally, quantify caused by find impacts an extensive area 199 million m2, or 26.05% study region, causes maximum estimated at 29.78 billion yuan 100 year recurrence SSP5–RCP8.5 scenario. largest are observed residential land use, closely followed commercial use. By offering method arising from change, aids implementation effective risk-management strategies.

Language: Английский

Citations

0