Zobrazeno 1 - 10
of 1 145
pro vyhledávání: '"hazard mapping"'
Publikováno v:
Journal of Maps, Vol 20, Iss 1, Pp 1-14 (2024)
ABSTRACTIn mountain regions, the impact of areas on the sediment conveyance can not only be described by their susceptibility to debris flow release, but also by their structural connectivity to the rivers. This generates the need to combine suscepti
Externí odkaz:
https://doaj.org/article/264c0d43fcd948269e5dd8bb21be01c7
Autor:
Fernando Sánchez Carmona, Alexis Ordaz Hernández, Luis Miguel Espinosa Rodríguez, Elkin de Jesús Salcedo Hurtado
Publikováno v:
Investigaciones Geográficas, Iss 82, Pp 105-126 (2024)
This research integrates physical, social, and economic aspects to address seismic vulnerability in the municipality of Toluca, Mexico. The objective is to design and implement a procedure that estimates seismic vulnerability at the urban block scale
Externí odkaz:
https://doaj.org/article/88691c128ee54cd1a6c6df3ac5989a3f
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:
Tahmida Naher Chowdhury, Md Mahmudul Hasan, Gulam Md Munna, Md Jahir Bin Alam, Ahmad Hasan Nury, Shriful Islam, Tajmun Naher
Publikováno v:
Journal of Water and Health, Vol 22, Iss 4, Pp 757-772 (2024)
This study investigates groundwater contamination by arsenic and iron and its health implications within the Sylhet district in Bangladesh. Utilizing geographic information system (GIS) and inverse distance weighting (IDW) methods, hazard maps have b
Externí odkaz:
https://doaj.org/article/1c4574c7fe714272a8d33e9c59ae8fdd
Autor:
Hervé Vicari, Dieter Issler
Publikováno v:
Annals of Glaciology, Vol 65 (2025)
For snow-avalanche hazard mapping, one needs efficient tools that nevertheless capture the essential physical processes. The code MoT-PSA (Method of Transport – Powder Snow Avalanche) described here is based on the two-layer depth-averaged formulat
Externí odkaz:
https://doaj.org/article/e940dbf6185441cbbdb2b37aa117fcaf
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:
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:
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:
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