Zobrazeno 1 - 10
of 181
pro vyhledávání: '"Flood hazard mapping"'
Publikováno v:
Applied Water Science, Vol 14, Iss 4, Pp 1-17 (2024)
Abstract Flash floods are a major threat to life and properties in arid regions. In recent decades, Egypt has experienced severe flash floods that have caused significant damage across the country, including the Red Sea region. The aim of this study
Externí odkaz:
https://doaj.org/article/33530fd0cd364bbc9362c9c8bba69626
Autor:
Mauro Arcorace, Andrea Libertino, Lorenzo Alfieri, Simone Gabellani, Alessia Matanò, Alessandro Masoero, Valerio Basso, Giorgio Boni
Publikováno v:
Journal of Flood Risk Management, Vol 17, Iss 4, Pp n/a-n/a (2024)
Abstract Reliable flood hazard mapping is crucial for enhancing flood preparedness, especially in poorly gauged and vulnerable areas. Yet, current flood models are either highly detailed and computationally intensive or oversimplified, failing to cap
Externí odkaz:
https://doaj.org/article/b08da3ac72514abdbc0ab93b8b2c4c15
Autor:
Sascha Welten, Adrian Holt, Julian Hofmann, Sven Weber, Elena-Maria Klopries, Holger Schüttrumpf, Stefan Decker
Publikováno v:
Journal of Hydroinformatics, Vol 26, Iss 2, Pp 534-548 (2024)
Increasing extreme weather events pose significant challenges in hydrology, requiring tools for preparedness and prediction of intense rainfall impacts, especially flash floods. Current risk reduction measures for pluvial flood risk management rely o
Externí odkaz:
https://doaj.org/article/40636a844b5b4a66bfbfac062dc24a21
Autor:
Zehra Koyuncu, Ömer Ekmekcioğlu
Publikováno v:
Doğal Afetler ve Çevre Dergisi, Vol 10, Iss 1, Pp 1-15 (2024)
The main objective of the current study is to generate a flood hazard map by using the machine learning algorithms hybridized with the geographic information systems (GIS). In this regard, the province of Istanbul, which is the metropolitan city of T
Externí odkaz:
https://doaj.org/article/09087feb2f42450cbf2f696c0c73afab
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 13, Iss 9, p 323 (2024)
Previous studies have utilized machine learning algorithms that incorporate topographic and geological characteristics to model flood susceptibility, resulting in comprehensive flood maps. This study introduces an innovative integration of geospatial
Externí odkaz:
https://doaj.org/article/a2083fac7e164140bf7caa3b857cf0a0
Publikováno v:
Jurnal Teknik Pengairan, Vol 15, Iss 1 (2024)
Currently, Batu City is experiencing rapid development both in terms of population and the amount of land building. Where development is uncontrolled and not balanced by reasonable conservation efforts, it will cause water resource problems such as f
Externí odkaz:
https://doaj.org/article/7ffe822af2f14223bbbff1c866cb5c97
Publikováno v:
World Journal of Engineering, 2022, Vol. 20, Issue 3, pp. 559-576.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/WJE-07-2021-0410
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 48, Iss , Pp 101459- (2023)
Study region: Second Songhua River basin (SSRB), Northeast China. Study focus: Accurately assessing future flood risks is the premise and foundation of flood control and water resources management. At present, studies are still lacking in assessing f
Externí odkaz:
https://doaj.org/article/434cddb0bbfd4ef89775d4625410008d
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