[HTML][HTML] Flood susceptibility modelling using advanced ensemble machine learning models

ARMT Islam, S Talukdar, S Mahato, S Kundu… - Geoscience …, 2021 - Elsevier
Floods are one of nature's most destructive disasters because of the immense damage to
land, buildings, and human fatalities. It is difficult to forecast the areas that are vulnerable to …

Predicting future urban waterlogging-prone areas by coupling the maximum entropy and FLUS model

J Lin, P He, L Yang, X He, S Lu, D Liu - Sustainable Cities and Society, 2022 - Elsevier
Urban waterlogging is a severe hazard that can directly damage environmental quality and
human well-being. It would be desirable for hazard mitigation planning and sustainable …

Evaluating the association between morphological characteristics of urban land and pluvial floods using machine learning methods

J Lin, W Zhang, Y Wen, S Qiu - Sustainable Cities and Society, 2023 - Elsevier
Spatial pattern of urban land plays a significant role in the occurrence of pluvial floods. While
landscape metrics have been widely used to reflect land use spatial patterns, the …

Flash flood susceptibility modeling using new approaches of hybrid and ensemble tree-based machine learning algorithms

SS Band, S Janizadeh, S Chandra Pal, A Saha… - Remote Sensing, 2020 - mdpi.com
Flash flooding is considered one of the most dynamic natural disasters for which measures
need to be taken to minimize economic damages, adverse effects, and consequences by …

[HTML][HTML] Flood susceptibility map** using multi-temporal SAR imagery and novel integration of nature-inspired algorithms into support vector regression

S Mehravar, SV Razavi-Termeh, A Moghimi… - Journal of …, 2023 - Elsevier
Flood has long been known as one of the most catastrophic natural hazards worldwide.
Map** flood-prone areas is an important part of flood disaster management. In this study …

[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 …

Quantitative and semi-quantitative methods in flood hazard/susceptibility map**: a review

RB Mudashiru, N Sabtu, I Abustan - Arabian Journal of Geosciences, 2021 - Springer
Flood mitigation and risk management is a very challenging task that requires accurate
identification of flood hazard/susceptible regions for adequate planning and management …

[HTML][HTML] Flash flood detection and susceptibility map** in the Monsoon period by integration of optical and radar satellite imagery using an improvement of a …

SV Razavi-Termeh, MB Seo, A Sadeghi-Niaraki… - Weather and Climate …, 2023 - Elsevier
Rainfall monsoons and the resulting flooding have always been cataclysmic disasters that
have heightened global concerns in light of climate change. Flood susceptibility modeling is …

Flood hazards susceptibility map** using statistical, fuzzy logic, and MCDM methods

H Akay - Soft Computing, 2021 - Springer
In this study, the flood hazards susceptibility map of an area in Turkey which is frequently
exposed to flooding was predicted by training 70% of inventory data. For this, statistical, and …

Flood susceptibility map** using an improved analytic network process with statistical models

P Yariyan, M Avand, RA Abbaspour… - … , Natural Hazards and …, 2020 - Taylor & Francis
Flooding is a natural disaster that causes considerable damage to different sectors and
severely affects economic and social activities. The city of Saqqez in Iran is susceptible to …