Flood hazard mapping methods: A review
Flood hazard mapping (FHM) has undergone significant development in terms of approach
and capacity of the result to meet the target of policymakers for accurate prediction and …
and capacity of the result to meet the target of policymakers for accurate prediction and …
Evaluation of stormwater management approaches and challenges in urban flood control
Across the globe, the damage caused by urban floods has increased manifold. The
unchecked development has encroached the natural drainage, and the conventional …
unchecked development has encroached the natural drainage, and the conventional …
[HTML][HTML] Flood susceptibility modelling using advanced ensemble machine learning models
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 …
land, buildings, and human fatalities. It is difficult to forecast the areas that are vulnerable to …
GIS-based comparative assessment of flood susceptibility mapping using hybrid multi-criteria decision-making approach, naïve Bayes tree, bivariate statistics and …
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 …
infrastructure, and society. Hence, identifying the susceptible areas to flood is an important …
Flash flood susceptibility modeling using new approaches of hybrid and ensemble tree-based machine learning algorithms
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 …
need to be taken to minimize economic damages, adverse effects, and consequences by …
Flood susceptibility mapping through the GIS-AHP technique using the cloud
KC Swain, C Singha, L Nayak - ISPRS International Journal of Geo …, 2020 - mdpi.com
Flood susceptibility mapping is essential for characterizing flood risk zones and for planning
mitigation approaches. Using a multi-criteria decision support system, this study investigated …
mitigation approaches. Using a multi-criteria decision support system, this study investigated …
Flood susceptibility mapping using convolutional neural network frameworks
Flood is a very destructive natural disaster in the world, which seriously threatens the safety
of human life and property. In this paper, the most popular convolutional neural network …
of human life and property. In this paper, the most popular convolutional neural network …
Convolutional neural network approach for spatial prediction of flood hazard at national scale of Iran
Iran experiences frequent destructive floods with significant socioeconomic consequences.
Quantifying the accurate impacts of such natural hazards, however, is a complicated task …
Quantifying the accurate impacts of such natural hazards, however, is a complicated task …
Flood susceptibility assessment using novel ensemble of hyperpipes and support vector regression algorithms
Recurrent floods are one of the major global threats among people, particularly in
developing countries like India, as this nation has a tropical monsoon type of climate …
developing countries like India, as this nation has a tropical monsoon type of climate …
GIS-based flood hazard mapping using relative frequency ratio method: A case study of Panjkora River Basin, eastern Hindu Kush, Pakistan
K Ullah, J Zhang - Plos one, 2020 - journals.plos.org
Flood is the most devastating and prevalent disaster among all-natural disasters. Every year,
flood claims hundreds of human lives and causes damage to the worldwide economy and …
flood claims hundreds of human lives and causes damage to the worldwide economy and …