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 …

Indicator-based assessment of climate-change impacts on coasts: A review of concepts, methodological approaches and vulnerability indices

TTX Nguyen, J Bonetti, K Rogers… - Ocean & Coastal …, 2016 - Elsevier
Increasing human pressures on coastlines and associated threats posed by sea-level rise
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

E Rafiei-Sardooi, A Azareh, B Choubin… - International Journal of …, 2021 - Elsevier
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 …

Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms

S Talukdar, B Ghose, Shahfahad, R Salam… - … Research and Risk …, 2020 - Springer
The flooding in Bangladesh during monsoon season is very common and frequently
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

M Rahman, C Ningsheng, GI Mahmud, MM Islam… - Geoscience …, 2021 - Elsevier
Bangladesh experiences frequent hydro-climatic disasters such as flooding. These disasters
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

M Rahman, C Ningsheng, MM Islam, A Dewan… - Earth Systems and …, 2019 - Springer
This work proposes a new approach by integrating statistical, machine learning, and multi-
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 …

Risk assessment and zoning of flood disaster in Wuchengxiyu Region, China

C Gao, B Zhang, S Shao, M Hao, Y Zhang, Y Xu… - Urban Climate, 2023 - Elsevier
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 …

[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 …

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 …