A time-space varying distributed unit hydrograph (TS-DUH) for operational flash flood forecasting using publicly-available datasets DOI

Ying Hu,

Huan Wu, Lorenzo Alfieri

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 642, P. 131785 - 131785

Published: Aug. 12, 2024

Language: Английский

Modelling the combined impact of sea level rise, land subsidence, and tropical cyclones in compound flooding of coastal cities DOI
Guofeng Wu, Qing Liu, Hanqing Xu

et al.

Ocean & Coastal Management, Journal Year: 2024, Volume and Issue: 252, P. 107107 - 107107

Published: April 1, 2024

Language: Английский

Citations

6
Characterizing future changes in compound flood risk by capturing the dependence between rainfall and river flow: An application to the Yangtze River Basin, China DOI
Jiarui Yu, Lei Zou, Jun Xia

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 635, P. 131175 - 131175

Published: April 6, 2024

Language: Английский

Citations

5
A framework for amplification flood risk assessment and threshold determination of combined rainfall and river level in an inland city DOI
Wanjie Xue, Zening Wu,

Hongshi Xu

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 640, P. 131725 - 131725

Published: July 28, 2024

Language: Английский

Citations

5
Compound effects in complex estuary-ocean interaction region under various combination patterns of storm surge and fluvial floods DOI

Zhaoli Wang,

Yuhong Chen, Zhaoyang Zeng

et al.

Urban Climate, Journal Year: 2024, Volume and Issue: 58, P. 102186 - 102186

Published: Oct. 30, 2024

Language: Английский

Citations

4
Integrating relative sea level rise into compound flooding hazard assessment for coastal cities DOI Creative Commons
Qing Liu, Hanqing Xu, Guofeng Wu

et al.

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 58, P. 102276 - 102276

Published: March 4, 2025

Language: Английский

Citations

0
A hybrid surrogate model for real-time coastal urban flood prediction: An application to Macao DOI
L. Xu, Liang Gao

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 642, P. 131863 - 131863

Published: Aug. 19, 2024

Language: Английский

Citations

3
Compound Flood Risk Assessment of Extreme Rainfall and High River Water Level DOI Open Access
Wanchun Li,

Chengbo Wang,

Jiangming Mo

et al.

Water, Journal Year: 2025, Volume and Issue: 17(6), P. 841 - 841

Published: March 14, 2025

Urban flooding is typically caused by multiple factors, with extreme rainfall and rising water levels in receiving bodies both contributing to increased flood risks. This study focuses on assessing urban risks Jinhua City, Zhejiang Province, China, considering the combined effects of high river levels. Using historical data from station (2005–2022), constructed a joint probability distribution via copula function. The findings show that risk significantly higher than each factor separately, indicating ignoring their interaction could greatly underestimate Scenario simulations using Infoworks ICM model demonstrate areas range 0.67% 5.39% under baseline scenario but increase 8.98–12.80% when 50a return period level. High play critical role increasing extent depth flooding, especially low coincides These highlight importance compound disaster-causing factors assessment can serve as reference for drainage control planning management.

Language: Английский

Citations

0
Relation of riverbank erosion with land use practices on floodplain of Weyb River at Agarfa District villages, south east Ethiopia DOI Creative Commons
Umer Abdela,

Dinku Shiferaw,

Seifeden Abdulsemed

et al.

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: March 25, 2025

The relationship between riverbank erosion and land use practices is a critical issue that impacting developing developed nations recognized as significant environmental challenge, with human activities exacerbating it. In the same way, floodplain of Weyb River in Agarfa district villages southeast Ethiopia confronting challenge due to escalating erosion, posing threat sustainability this ecosystem. findings from study aim evaluate dynamics inform policymakers stakeholders about need for sustainable mitigate enhance resilience affected communities. employed mixed-methods approach, integrating quantitative qualitative data collection techniques through field observations, community surveys land-use cover change analysis, has uncovered key insights into complex dynamics. Notably, research identified hotspots such Ambentu villages, Koloba Seada, Harogoda, where 96.5% respondents recognize drainage congestion along river necessitating operation sluices. Moreover, Analysis reveals intricate interplay revealed causes including excessive flooding heavy rainfall upstream, poor riverbanks. Respondents farming practices, particularly removing vegetation near riverbank, significantly contribute erosion. Additionally, 92% informants agreed agricultural seedlings rising exacerbate risks. recommends development buffer zones, establishment conservation associations, implementation rehabilitation measures, infrastructure development, support empowerment, deployment developmental agents, strengthening adaptation flood hazards. Urgent action crucial safeguard ecosystem ensure long-term amid ongoing ecological changes interventions.

Language: Английский

Citations

0
Efficient urban flood control and drainage management framework based on digital twin technology and optimization scheduling algorithm DOI
Chenchen Fan, Jingming Hou, Xuan Li

et al.

Water Research, Journal Year: 2025, Volume and Issue: unknown, P. 123711 - 123711

Published: April 1, 2025

Language: Английский

Citations

0
Digital twin-based risk assessment method for dynamic monitoring of heavy rain disasters in rammed earth city site: a case study of the Puzhou ancient city DOI
Ruiling Zhang, Miaole Hou, Youqiang Dong

et al.

Bulletin of Engineering Geology and the Environment, Journal Year: 2025, Volume and Issue: 84(6)

Published: May 6, 2025

Language: Английский

Citations

0