Flash flood susceptibility analysis and its mapping using different bivariate models in Iran: a comparison between Shannon's entropy, statistical index, and weighting …

K Khosravi, HR Pourghasemi, K Chapi… - Environmental monitoring …, 2016 - Springer
Flooding is a very common worldwide natural hazard causing large-scale casualties every
year; Iran is not immune to this thread as well. Comprehensive flood susceptibility mapping …

Prediction success of machine learning methods for flash flood susceptibility mapping in the Tafresh watershed, Iran

S Janizadeh, M Avand, A Jaafari, TV Phong, M Bayat… - Sustainability, 2019 - mdpi.com
Floods are some of the most destructive and catastrophic disasters worldwide. Development
of management plans needs a deep understanding of the likelihood and magnitude of future …

Flash flood susceptibility assessment in Jeddah city (Kingdom of Saudi Arabia) using bivariate and multivariate statistical models

AM Youssef, B Pradhan, SA Sefry - Environmental Earth Sciences, 2016 - Springer
Abstract The city of Jeddah (Saudi Arabia) has experienced two catastrophic flash flood
events in 2009 and 2011. These flood events had catastrophic effect on human lives and …

A GIS-based flood susceptibility assessment and its mapping in Iran: a comparison between frequency ratio and weights-of-evidence bivariate statistical models with …

K Khosravi, E Nohani, E Maroufinia, HR Pourghasemi - Natural hazards, 2016 - Springer
Flood is one of the most prevalent natural disasters that frequently occur in the northern part
of Iran reported in hot spots of flood occurrences. The main aim of the current study was to …

A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran

K Khosravi, BT Pham, K Chapi, A Shirzadi… - Science of the Total …, 2018 - Elsevier
Floods are one of the most damaging natural hazards causing huge loss of property,
infrastructure and lives. Prediction of occurrence of flash flood locations is very difficult due …

Flash-flood susceptibility mapping based on XGBoost, random forest and boosted regression trees

R Abedi, R Costache… - Geocarto …, 2022 - Taylor & Francis
Historical exploration of flash flood events and producing flash-flood susceptibility maps are
crucial steps for decision makers in disaster management. In this article, classification and …

GIS based hybrid computational approaches for flash flood susceptibility assessment

BT Pham, M Avand, S Janizadeh, TV Phong… - Water, 2020 - mdpi.com
Flash floods are one of the most devastating natural hazards; they occur within a catchment
(region) where the response time of the drainage basin is short. Identification of probable …

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 …

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 …

Novel hybrid models between bivariate statistics, artificial neural networks and boosting algorithms for flood susceptibility assessment

R Costache, QB Pham, M Avand, NTT Linh… - Journal of …, 2020 - Elsevier
Across the world, the flood magnitude is expected to increase as well as the damage caused
by their occurrence. In this case, the prediction of areas which are highly susceptible to …