Examining flood vulnerability map** approaches in develo** countries: A sco** review

GM Membele, M Naidu, O Mutanga - International Journal of Disaster Risk …, 2022 - Elsevier
In the face of climate change, map** flood vulnerability has become important. This is
because it helps to identify vulnerable people in particular communities and provides a …

Parameters and methods used in flood susceptibility map**: a review

CM Kaya, L Derin - Journal of Water and Climate Change, 2023 - iwaponline.com
A correct understanding of the parameters and methods used in flood susceptibility map**
(FSM) is critical for identifying the strengths and limitations of different map** approaches …

[HTML][HTML] An XGBoost-SHAP approach to quantifying morphological impact on urban flooding susceptibility

M Wang, Y Li, H Yuan, S Zhou, Y Wang, RMA Ikram… - Ecological …, 2023 - Elsevier
Urban flooding risks, often overlooked by conventional methods, can be profoundly affected
by city configurations. However, explainable Artificial Intelligence could provide insights into …

GIS-based comparative assessment of flood susceptibility map** using hybrid multi-criteria decision-making approach, naïve Bayes tree, bivariate statistics and …

SA Ali, F Parvin, QB Pham, M Vojtek, J Vojteková… - Ecological …, 2020 - Elsevier
Flood is a devastating natural hazard that may cause damage to the environment
infrastructure, and society. Hence, identifying the susceptible areas to flood is an important …

A comparative assessment of flood susceptibility modelling of GIS-based TOPSIS, VIKOR, and EDAS techniques in the Sub-Himalayan foothills region of Eastern India

R Mitra, J Das - Environmental Science and Pollution Research, 2023 - Springer
Abstract In the Sub-Himalayan foothills region of eastern India, floods are considered the
most powerful annually occurring natural disaster, which cause severe losses to the socio …

[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 …

[HTML][HTML] How do machine learning techniques help in increasing accuracy of landslide susceptibility maps?

Y Achour, HR Pourghasemi - Geoscience Frontiers, 2020 - Elsevier
Landslides are abundant in mountainous regions. They are responsible for substantial
damages and losses in those areas. The A1 Highway, which is an important road in Algeria …

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] Flash flood susceptibility assessment and zonation by integrating analytic hierarchy process and frequency ratio model with diverse spatial data

A Tariq, J Yan, B Ghaffar, S Qin, BG Mousa, A Sharifi… - Water, 2022 - mdpi.com
Flash floods are the most dangerous kinds of floods because they combine the destructive
power of a flood with incredible speed. They occur when heavy rainfall exceeds the ability of …

[HTML][HTML] Flood vulnerability map** using frequency ratio (FR) model: a case study on Kulik river basin, Indo-Bangladesh Barind region

D Sarkar, P Mondal - Applied Water Science, 2020 - Springer
Flood is a natural but inevitable phenomenon occurring over the period of time. It not only
damages the life, property and resources, but also hampers the economy of a nation. In this …