Examining LightGBM and CatBoost models for wadi flash flood susceptibility prediction

M Saber, T Boulmaiz, M Guermoui… - Geocarto …, 2022 - Taylor & Francis
This study presents two machine learning models, namely, the light gradient boosting
machine (LightGBM) and categorical boosting (CatBoost), for the first time for predicting …

The time of concentration application in studies around the world: a review

AK Almeida, IK de Almeida, JA Guarienti… - … Science and Pollution …, 2022 - Springer
The time of concentration (Tc) is the main hydrological parameter used to characterize the
response of a given Hydrological Response Unit (HRU) to a precipitation event. Because of …

Flash flood susceptibility mapping in Sinai, Egypt using hydromorphic data, principal component analysis and logistic regression

M El-Rawy, WM Elsadek, F De Smedt - Water, 2022 - mdpi.com
Flash floods in the Sinai often cause significant damage to infrastructure and even loss of
life. In this study, the susceptibility to flash flooding is determined using hydro-morphometric …

Evolving a total-evaluation map of flash flood hazard for hydro-prioritization based on geohydromorphometric parameters and GIS–RS manner in Al-Hussain river …

HG Abdo - Natural Hazards, 2020 - Springer
Floods are one of the most severe hydrological hazards that cause an excessive threat to
landscape stability, population welfare, infrastructure and spatial development in the Syrian …

Scrutinizing the performance of GIS-based analytical Hierarchical process approach and frequency ratio model in flood prediction–Case study of Kakegawa, Japan

WM Elsadek, M Wahba, N Al-Arifi, S Kanae… - Ain Shams Engineering …, 2024 - Elsevier
Floods are one of the most common catastrophes in the world. This study generates the
flood susceptibility maps (FSM) using AHP and FR in Kakegawa, Japan. A set of 100 flood …

Recognizing the Wadi Fluvial Structure and Stream Network in the Qena Bend of the Nile River, Egypt, on Landsat 8-9 OLI Images

P Lemenkova, O Debeir - Information, 2023 - mdpi.com
With methods for processing remote sensing data becoming widely available, the ability to
quantify changes in spatial data and to evaluate the distribution of diverse landforms across …

Flash flood risk modeling of swat river sub-watershed: a comparative analysis of morphometric ranking approach and El-Shamy approach

MJ Nasir, J Iqbal, W Ahmad - Arabian Journal of Geosciences, 2020 - Springer
Globally, flash floods are the most damaging natural hazards, because of its sudden nature
and difficulty in forecasting that restrains emergency responses. Flash floods triggered by …

Risk assessment and management of vulnerable areas to flash flood hazards in arid regions using remote sensing and GIS-based knowledge-driven techniques

M Abdelkareem, AM Mansour - Natural Hazards, 2023 - Springer
Earth Observation from space has allowed characterizing, detecting, and managing natural
hazards in spatiotemporal scale. Flash flood is the most frequent natural disaster that causes …

Sustainable development goals (SDGs) associated with flash flood hazard mapping and management measures through morphometric evaluation

MM Mansour, MG Ibrahim, M Fujii, M Nasr - Geocarto International, 2022 - Taylor & Francis
This study is the first to demonstrate the interlinkages between several flash flood mitigation
strategies and sustainable development goals (SDGs) by understanding the basins' …

Using morphometric analysis for assessment of flash flood susceptibility in the Mediterranean region of Turkey

H Dutal - Environmental monitoring and assessment, 2023 - Springer
Flash floods are one of the most severe natural disasters around the world because of their
rapid and unpredictable nature. It is expected that the frequency and intensity of flood events …