Quantitative flood hazard assessment methods: A review
A Maranzoni, M D'Oria, C Rizzo - Journal of Flood Risk …, 2023 - Wiley Online Library
Flood hazard assessment is a fundamental step in flood risk mapping. Quantitative
assessment requires hydrodynamic modelling of the flooding process in order to calculate …
assessment requires hydrodynamic modelling of the flooding process in order to calculate …
Indicator-based assessment of climate-change impacts on coasts: A review of concepts, methodological approaches and vulnerability indices
Increasing human pressures on coastlines and associated threats posed by sea-level rise
have stimulated development of a range of different concepts and methodological …
have stimulated development of a range of different concepts and methodological …
[HTML][HTML] Evaluating urban flood risk using hybrid method of TOPSIS and machine learning
With the growth of cities, urban flooding has increasingly become an issue for regional and
national governments. The destructive effects of floods are magnified in cities. Accurate …
national governments. The destructive effects of floods are magnified in cities. Accurate …
Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms
The flooding in Bangladesh during monsoon season is very common and frequently
happens. Consequently, people have been experiencing tremendous damage to properties …
happens. Consequently, people have been experiencing tremendous damage to properties …
[HTML][HTML] Flooding and its relationship with land cover change, population growth, and road density
Bangladesh experiences frequent hydro-climatic disasters such as flooding. These disasters
are believed to be associated with land use changes and climate variability. However …
are believed to be associated with land use changes and climate variability. However …
Flood susceptibility assessment in Bangladesh using machine learning and multi-criteria decision analysis
This work proposes a new approach by integrating statistical, machine learning, and multi-
criteria decision analysis, including artificial neural network (ANN), logistic regression (LR) …
criteria decision analysis, including artificial neural network (ANN), logistic regression (LR) …
Impacts of land use–land cover change and urbanization on flooding: A case study of Oshiwara River Basin in Mumbai, India
PE Zope, TI Eldho, V Jothiprakash - Catena, 2016 - Elsevier
In the present study, the impact of land use–land cover (LULC) change and urbanization on
floods are investigated for an expanding urban catchment of the Oshiwara River in Mumbai …
floods are investigated for an expanding urban catchment of the Oshiwara River in Mumbai …
Risk assessment and zoning of flood disaster in Wuchengxiyu Region, China
Based on the data of physical geography and social economy, an index system of
Wuchengxiyu Region was constructed with the disaster-inducing factors, disaster-pregnant …
Wuchengxiyu Region was constructed with the disaster-inducing factors, disaster-pregnant …
[图书][B] Hazards, risk, and vulnerability
A Dewan, AM Dewan - 2013 - Springer
Natural hazard terminologies with existing models of vulnerability, hazard, and risk are
presented in this chapter. A conceptual framework has been developed based on hazard …
presented in this chapter. A conceptual framework has been developed based on hazard …
Flood risk assessment and resilience strategies for flood risk management: A case study of Surat City
RK Waghwala, PG Agnihotri - International Journal of Disaster Risk …, 2019 - Elsevier
The process of urbanization has changed LULC patterns which have a strong influence on
flood risk and resulting economic losses from flood events. This study intends to assess the …
flood risk and resulting economic losses from flood events. This study intends to assess the …