Mohamed Saber

This study presents two machine learning models, namely, the light gradient boosting machine (LightGBM) and categorical boosting (CatBoost), for the first time for predicting flash flood susceptibility (FFS) in the Wadi System (Hurghada, Egypt). A flood inventory map with 445 flash flood sites was produced and randomly divided into two groups for training (70%) and testing (30%). Fourteen flood controlling factors were selected and evaluated for their relative importance in flood occurrence pred

AbstractThis study aims to examine three machine learning (ML) techniques, namely random forest (RF), LightGBM, and CatBoost for flooding susceptibility maps (FSMs) in the Vietnamese Vu Gia-Thu Bon (VGTB). The results of ML are compared with those of the rainfall-runoff model, and different training dataset sizes are utilized in the performance assessment. Ten independent factors are assessed. An inventory map with approximately 850 flooding sites is based on several post-flood surveys. The inve

Urban growth, extreme climate, and mismanagement are crucial controlling factors that affect flood vulnerability at wadi catchments. Therefore, this study attempts to understand the impacts of these three factors on the flash flood vulnerability in different climatic regions in Egypt. An integrated approach is presented to evaluate the urban growth from 1984 to 2019 by using Google Images and SENTINEL-2 data, and to develop hazard maps by using a rainfall-runoff-inundation model (RRI). Annual ra

This study investigates the utility of satellite-based rainfall estimates in simulating flash floods in Karpuz River Basin, Turkey, characterized by limited rain gauge network. Global Satellite Mapping of Precipitation (GSMaP) product was evaluated with the rain gauge network at daily and monthly time-scales considering seasonality, elevation zones, extreme events and rainfall intensity thresholds. Statistical analysis indicated that GSMaP shows acceptable linear correlation coefficient with rai

The study aims to use PHREEQC model to characterize hydrogeochemical characteristics of groundwater aquifer based on the physico-chemical properties and to understand rock–water interactions. Fifteen samples have been hydrochemically analyzed form groundwater wells located in Sohag City, Egypt. Hydrochemical characteristics were spatially depicted to understand the spatial variations such as (pH, EC, TDS, Na+, K+, Ca2+ and Mg2+, SO42−, CO32−, HCO3−, and Cl−). Groundwater quality evaluation is co

Abstract. This study investigates the utility of gauge-corrected satellite-based rainfall estimates in simulating flash floods at Karpuz River - a semi-arid basin in Turkey. Global Satellite Mapping of Precipitation (GSMaP) product was evaluated with the rain gauge network at monthly and daily time-scales considering various time periods and rainfall rate thresholds. Statistical analysis indicated that GSMaP shows acceptable linear correlation coefficient with rain gauges however suffers from si

The El-Kharga Oasis in the Western Desert of Egypt is selected as the study area due to its hyberarid climate condition and water scarcity. In this region, the fossil groundwater is the main water source; therefore, preserving groundwater quality and quantity is mandatory. This study evaluated groundwater suitability for irrigation purposes and assessed the water requirements of cultivated crops to optimize the water supply in hyperarid climate regions. In total, 79 deep groundwater samples were

ABSTRACT This study evaluates climate change adaptation and disaster risk reduction (DRR) efforts across 12 African countries: Uganda, Nigeria, Ghana, Sierra Leone, Senegal, Benin, Ethiopia, Comoros, Malawi, Mali, the Democratic Republic of Congo, and Kenya. Using a systematic review guided by the PRISMA framework, 257 peer-reviewed studies were analyzed and grouped into key themes: climate-related disasters, biophysical vulnerabilities, socio-economic impacts, national adaptation plans, and ada

Groundwater over-pumping is a chief contributor to groundwater quality degradation and landsubsidence. Expecting land subsidence is quite difficult, thus using satellite data to monitor such disaster ishighly promising. This paper presents the use of Gravity Recovery and Climate Experiment data along withGlobal Land Data Assimilation System data to monitor and investigate land subsidence resulting from theimpact of groundwater depletion in different regions throughout the world. The trend rates

The surface flow discharge in the arid regions is characterized by behaviors which are different from the humid areas. A physically-based, distributed hydrological model to estimate wadi runoff and to evaluate initial and transmission losses as well as flood control in the arid regions is proposed. A comparative study has been done between W. Al-Khoud (Oman), W. Ghat (Saudi Arabia) and W. Assiut (Egypt) concerning runoff behaviors to understand the effect of watershed characteristics and climati

This study presents a comprehensive flood vulnerability assessment for Freetown, Sierra Leone, spanning the period from 2001 to 2022. The objective of this research was to assess the temporal and spatial changes in the flood vulnerability using Geographic Information System (GIS) tools and AHP-based Multi-Criteria Decision-Making (MCDM) analysis. This study identified the flood-vulnerable zones (FVZs) by integrating critical factors such as the rainfall, NDVI, elevation, slope, drainage density,

Climate change and global warming have become the most significant challenges to the agricultural production worldwide, especially in arid and semiarid areas. The main purpose of plant breeding programs now is to produce a genetically wide range of genotypes that can withstand the adverse effects of climate change. Moreover, farmers have to reallocate their cultivars due to their ability to tolerate unfavorable conditions. During this study, two field experiments and climate analysis based on 15