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

и другие.

Journal of Hydrology, Год журнала: 2024, Номер 642, С. 131785 - 131785

Опубликована: Авг. 12, 2024

Язык: 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

и другие.

Ocean & Coastal Management, Год журнала: 2024, Номер 252, С. 107107 - 107107

Опубликована: Апрель 1, 2024

Язык: Английский

Процитировано

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

и другие.

Journal of Hydrology, Год журнала: 2024, Номер 635, С. 131175 - 131175

Опубликована: Апрель 6, 2024

Язык: Английский

Процитировано

6

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

и другие.

Journal of Hydrology, Год журнала: 2024, Номер 640, С. 131725 - 131725

Опубликована: Июль 28, 2024

Язык: Английский

Процитировано

5

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

Journal of Hydrology, Год журнала: 2024, Номер 642, С. 131863 - 131863

Опубликована: Авг. 19, 2024

Язык: Английский

Процитировано

4

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

и другие.

Urban Climate, Год журнала: 2024, Номер 58, С. 102186 - 102186

Опубликована: Окт. 30, 2024

Язык: Английский

Процитировано

4

Integrating relative sea level rise into compound flooding hazard assessment for coastal cities DOI Creative Commons
Qing Liu,

Hanqing Xu,

Guofeng Wu

и другие.

Journal of Hydrology Regional Studies, Год журнала: 2025, Номер 58, С. 102276 - 102276

Опубликована: Март 4, 2025

Язык: Английский

Процитировано

0

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

Chengbo Wang,

Jiangming Mo

и другие.

Water, Год журнала: 2025, Номер 17(6), С. 841 - 841

Опубликована: Март 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.

Язык: Английский

Процитировано

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

и другие.

Frontiers in Environmental Science, Год журнала: 2025, Номер 13

Опубликована: Март 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.

Язык: Английский

Процитировано

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

и другие.

Water Research, Год журнала: 2025, Номер unknown, С. 123711 - 123711

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

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

и другие.

Bulletin of Engineering Geology and the Environment, Год журнала: 2025, Номер 84(6)

Опубликована: Май 6, 2025

Язык: Английский

Процитировано

0