Zobrazeno 1 - 10
of 84
pro vyhledávání: '"lcsh:River protective works. Regulation. Flood control"'
Autor:
Bin He, Jiqiang Lyu, Daniel Nover, Meimei Zhou, Xiaoli Zhao, Aidi Huo, Weili Duan, Pingping Luo, Dengrui Mu
Publikováno v:
Journal of Flood Risk Management, Vol 14, Iss 1, Pp n/a-n/a (2021)
Urban flooding is a perennial problem, especially in developing countries with relatively weak infrastructure under ever‐increasing stress due to climate change and human activities. We simulate the temporally variable flood‐water depth and inund
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b352aa08a8607f6e6b73fc83d2023346
https://doaj.org/article/75d6e48538ed406dadfb57e09dd67a1e
https://doaj.org/article/75d6e48538ed406dadfb57e09dd67a1e
Publikováno v:
Journal of Flood Risk Management, Vol 14, Iss 1, Pp n/a-n/a (2021)
This study presents a novel stochastic simulation–optimization approach for optimum designing of flood control dam through incorporation of various sources of uncertainties. The optimization problem is formulated based on two objective functions, n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38511b8890022a9a6e9cee0a9d412890
https://doaj.org/article/ebc5a44343dc42fbbea550c83bfbbeea
https://doaj.org/article/ebc5a44343dc42fbbea550c83bfbbeea
Publikováno v:
Journal of Flood Risk Management, Vol 14, Iss 1, Pp n/a-n/a (2021)
Journal of Flood Risk Management, 14 (1)
Journal of Flood Risk Management, 14 (1)
Computational complexity has been the bottleneck for applying physically based simulations in large urban areas with high spatial resolution for efficient and systematic flooding analyses and risk assessment. To overcome the issue of long computation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99e65f5de2db6d1f998d95b615df8b5a
https://doaj.org/article/28f55d46f1654760b8a4e13067512405
https://doaj.org/article/28f55d46f1654760b8a4e13067512405
Publikováno v:
Journal of Flood Risk Management, Vol 14, Iss 1, Pp n/a-n/a (2021)
Collective memory plays a controlling role in adaptation to potential flood risks, by learning from past disasters. However, with little quantitative empirical data, previous socio‐hydrological models have conceptualized the decaying process of flo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3fb70f3205da2d37d8ef89e388922b72
https://doaj.org/article/e72dff01c03e4ec1bb98303968721bd2
https://doaj.org/article/e72dff01c03e4ec1bb98303968721bd2
Autor:
Ahmadlou, Mohammad, Al-Fugara, A'kif, Al-Shabeeb, Abdel Rahman, Arora, Aman, Al-Adamat, Rida, Pham, Quoc Bao, Al-Ansari, Nadhir, Linh, Nguyen Thi Thuy, Sajedi, Hedieh
Publikováno v:
Journal of Flood Risk Management, Vol 14, Iss 1, Pp n/a-n/a (2021)
Floods are one of the most destructive natural disasters causing financial dam-ages and casualties every year worldwide. Recently, the combination of data-driven techniques with remote sensing (RS) and geographical information sys-tems (GIS) has been
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4ed246bddc5c7f79da700be539eaf1ee
https://doaj.org/article/e7496bb0f5294f31977d8376ad50df2a
https://doaj.org/article/e7496bb0f5294f31977d8376ad50df2a
Publikováno v:
Journal of Flood Risk Management, Vol 14, Iss 1, Pp n/a-n/a (2021)
A major challenge in flood mapping using multi‐criteria decision analysis (MCDA) is the selection of the flood risk factors and the estimation of their relative importance. A novel MCDA method through the integration of two state‐of‐the‐art M
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab2b63cd83eb1a00f6d2365793b4eb82
https://doaj.org/article/214d590e5ebc4f2f961819d16cbdb8e1
https://doaj.org/article/214d590e5ebc4f2f961819d16cbdb8e1
Autor:
Paul Samuels
Publikováno v:
Journal of Flood Risk Management, Vol 14, Iss 1, Pp n/a-n/a (2021)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea38959a972c0f56e81026db14aa4653
https://doi.org/10.1111/jfr3.12701
https://doi.org/10.1111/jfr3.12701
Autor:
Edmund C. Penning-Rowsell
Publikováno v:
Journal of Flood Risk Management, Vol 14, Iss 1, Pp n/a-n/a (2021)
As the Sendai framework recognises, understanding the nature and severity of risk is an important prerequisite to sensible risk reducing measures. The UK has been in the forefront of assessing the scale of flood risk at a national level to inform inv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c66fa72d669ba603774ac9885f0109df
https://eprints.mdx.ac.uk/31511/2/jfr3.12685_VoR.pdf
https://eprints.mdx.ac.uk/31511/2/jfr3.12685_VoR.pdf
Publikováno v:
Journal of Flood Risk Management, Vol 14, Iss 1, Pp n/a-n/a (2021)
The study of risk perception (RP) has much increased in the last years to improve flood risk management. Effective communication requires an understanding of how the risk of flooding is perceived by residents of different areas. In this work, RP is i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8cd187996e7b3f80dab2250b8fee4c60
https://doi.org/10.1111/jfr3.12694
https://doi.org/10.1111/jfr3.12694
Publikováno v:
Journal of Flood Risk Management, Vol 13, Iss 4, Pp n/a-n/a (2020)
Extreme flood events are becoming more frequent and challenging due to climate change. Key objectives of this study are to evaluate different criteria used in assessing the hazard to people during flood events and, once determined, the most suitable
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70ba7dff1ed3bb5e9fee4fcf5cf63c98
https://orca.cardiff.ac.uk/id/eprint/131140/3/jfr3.12627.pdf
https://orca.cardiff.ac.uk/id/eprint/131140/3/jfr3.12627.pdf