Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Hongshi Xu"'
Publikováno v:
International Journal of Disaster Risk Science, Vol 15, Iss 5, Pp 769-788 (2024)
Abstract Flash floods are one of the most devastating natural hazards in mountainous and hilly areas. In this study, a dynamic warning model was proposed to improve the warning accuracy by addressing the problem of ignoring the randomness and uncerta
Externí odkaz:
https://doaj.org/article/ed3e0021495248f6b3c54b51f5ec57fb
Autor:
Yihong Zhou, Zening Wu, Mengmeng Jiang, Hongshi Xu, Denghua Yan, Huiliang Wang, Chentao He, Xiangyang Zhang
Publikováno v:
Journal of Flood Risk Management, Vol 17, Iss 1, Pp n/a-n/a (2024)
Abstract Accurate prediction of urban floods is regarded as one of the critical means to prevent urban floods and reduce the losses caused by floods. In this study, a refined prediction and early warning method system for urban flood and waterlogging
Externí odkaz:
https://doaj.org/article/cdd6833419714c6ebf0dd6bded6143ec
Publikováno v:
International Journal of Disaster Risk Science, Vol 14, Iss 1, Pp 79-97 (2023)
Abstract Global climate change and sea level rise have led to increased losses from flooding. Accurate prediction of floods is essential to mitigating flood losses in coastal cities. Physically based models cannot satisfy the demand for real-time pre
Externí odkaz:
https://doaj.org/article/4ec384e61250453fa8d0e9870ca06855
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 44, Iss , Pp 101248- (2022)
Study region: Built-up area of Zhengzhou, China. Study focus: An urban flood forecasting model based on multi-model integrated forecasting is proposed. Based on the data of rainfall process and inundation process, a multi-model ensemble prediction mo
Externí odkaz:
https://doaj.org/article/858117c2404b436aad88fcf6d97274ee
Publikováno v:
Ecological Indicators, Vol 137, Iss , Pp 108615- (2022)
Externí odkaz:
https://doaj.org/article/06f2d5ee579e4de4b5e150355bb96dbe
Publikováno v:
Ecological Indicators, Vol 135, Iss , Pp 108565- (2022)
Flooding is one of the most frequent and disastrous natural hazards that can have catastrophic impacts on human society and urban infrastructure. Increasing the incidence of urban flooding highlights the need for reliable flood mitigation strategies
Externí odkaz:
https://doaj.org/article/32cff65dea6b4e0daf4de99eb34ed2fc
Publikováno v:
Remote Sensing, Vol 14, Iss 19, p 4777 (2022)
Flood risk assessment is an important tool for disaster warning and prevention. In this study, an integrated approach based on a D-number-improved analytic hierarchy process (D-AHP) and a self-organizing map (SOM) clustering algorithm are proposed fo
Externí odkaz:
https://doaj.org/article/f37ad5f156d1491f8a904baf06097db0
Publikováno v:
International Journal of Disaster Risk Science. 13:602-620
In the context of climate change, coastal cities are at increased risk of extreme precipitation and sea level rise, and their interaction will aggravate coastal floods. Understanding the potential change of compound floods is valuable for flood risk
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15f5aed1671a085109280132872ee915
https://doi.org/10.1007/s13753-022-00429-y
https://doi.org/10.1007/s13753-022-00429-y
Publikováno v:
Natural Hazards. 113:1903-1924
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00a65887fce017c1b9c16a698a4ba673
https://doi.org/10.1007/s11069-022-05375-y
https://doi.org/10.1007/s11069-022-05375-y
Publikováno v:
Water; Volume 15; Issue 1; Pages: 149
The USEPA (United States Environmental Protection Agency) Storm Water Management Model (SWMM) is one of the most extensively implemented numerical models for simulating urban runoff. Parameter optimization is essential for reliable SWMM model simulat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d747730a1aede37ffc666f7caa3c7f9b