A5050922013- Hydrology and Watershed Management Studies
- Flood Risk Assessment and Management
- Soil erosion and sediment transport
- Hydrology and Drought Analysis
- Hydrological Forecasting Using AI
- Climate variability and models
- Plant Water Relations and Carbon Dynamics
- Hydrology and Sediment Transport Processes
- Groundwater and Watershed Analysis
- Water resources management and optimization
- Land Use and Ecosystem Services
- Remote Sensing in Agriculture
- Precipitation Measurement and Analysis
- Transboundary Water Resource Management
- Aquatic Ecosystems and Biodiversity
- Meteorological Phenomena and Simulations
- Rangeland Management and Livestock Ecology
- Groundwater flow and contamination studies
- Water Quality Monitoring and Analysis
- Soil and Water Nutrient Dynamics
- Soil Moisture and Remote Sensing
- Water-Energy-Food Nexus Studies
- Groundwater and Isotope Geochemistry
- Water Quality Monitoring Technologies
- Water Quality and Pollution Assessment
Florida International University
2016-2025
Haramaya University
2015
University of North Dakota
2003-2006
University of Guelph
2006
Center For Remote Sensing (United States)
2001-2002
University of Florida
2001-2002
Abstract. Some of the most valued natural and cultural landscapes on Earth lie in river basins that are poorly gauged have incomplete historical climate runoff records. The Mara River Basin East Africa is such a basin. It hosts internationally renowned Mara-Serengeti landscape as well rich mixture indigenous cultures. sole source surface water to during dry season periods drought. During recent years, flow has become increasingly erratic, especially upper reaches, resource managers hampered...
Mapping flood-prone areas is a key activity in flood disaster management. In this paper, we propose new susceptibility mapping technique. We employ ensemble models based on bagging as meta-classifier and K-Nearest Neighbor (KNN) coarse, cosine, cubic, weighted base classifiers to spatially forecast flooding the Haraz watershed northern Iran. identified using data from Sentinel-1 sensor. then selected 10 conditioning factors predict floods assess their predictive power Relief Attribute...
Abstract Lake Tana Basin is of significant importance to Ethiopia concerning water resources aspects and the ecological balance area. Many years mismanagement, wetland losses due urban encroachment population growth, droughts are causing its rapid deterioration. The main objective this study was assess performance applicability soil assessment tool (SWAT) model for prediction streamflow in Basin, so that influence topography, land use, climatic condition on hydrology can be well examined....
Climate change has the potential to reduce water resource availability in Nile Basin countries forthcoming decades. We investigated sensitivity of resources climate Lake Tana Basin, Ethiopia, using outputs from global models (GCMs). First, we compiled projected changes monthly precipitation and temperature basin 15 GCMs. Although GCMs uniformly suggest increases temperature, rainfall projections are not consistent. Second, how daily might translate into streamflow other hydrological...
Landslides are the most frequent phenomenon in northern part of Iran, which cause considerable financial and life damages every year. One widely used approaches to reduce these is preparing a landslide susceptibility map (LSM) using suitable methods selecting proper conditioning factors. The current study aimed at comparing four bivariate models, namely frequency ratio (FR), Shannon entropy (SE), weights evidence (WoE), evidential belief function (EBF), for LSM Klijanrestagh Watershed, Iran....
Flash flooding is considered one of the most dynamic natural disasters for which measures need to be taken minimize economic damages, adverse effects, and consequences by mapping flood susceptibility. Identifying areas prone flash a crucial step in hazard management. In present study, Kalvan watershed Markazi Province, Iran, was chosen evaluate susceptibility modeling. Thus, detect flood-prone zones this study area, five machine learning (ML) algorithms were tested. These included boosted...
Floods are some of the most dangerous and frequent natural disasters occurring in northern region Iran. Flooding this area frequently leads to major urban, financial, anthropogenic, environmental impacts. Therefore, development flood susceptibility maps used identify zones catchment is necessary for improved management decision making. The main objective study was evaluate performance an Evidential Belief Function (EBF) model, both as individual model combination with Logistic Regression...
Land use/land cover change evaluation and prediction using spatiotemporal data are crucial for environmental monitoring better planning management of land use. The main objective this study is to evaluate changes the time period 1991–2022 predict future CA-ANN model in Upper Omo–Gibe River basin. Landsat-5 TM 1991, 1997, 2004, Landsat-7 ETM+ 2010, Landsat-8 (OLI) 2016 2022 were downloaded from USGS Earth Explorer Data Center. A random forest machine learning algorithm was employed LULC...
Accurate crop performance monitoring and production estimation are critical fortimely assessment of the food balance several countries in world. Since 2001, theFamine Early Warning Systems Network (FEWS NET) has been cropperformance relative using satellite-derived data simulation models inAfrica, Central America, Afghanistan where ground-based is limitedbecause a scarcity weather stations. The commonly used arebased on water-balance algorithm with inputs from rainfallestimates. These useful...
Abstract The main objective of this study was to identify the most vulnerable areas soil erosion in Lake Tana Basin, Blue Nile, Ethiopia using Soil and Water Assessment Tool (SWAT), a physically based distributed hydrological model, Geographic Information System decision support system that uses multi‐criteria evaluation (MCE). SWAT model used estimate sediment yield within each sub‐basin contributing basin. Using MCE analysis, an attempt made combine set factors (land use, soil, slope river...
Setegn, Shimelis G., Bijan Dargahi, Ragahavan Srinivasan, and Assefa M. Melesse, 2010. Modeling of Sediment Yield From Anjeni‐Gauged Watershed, Ethiopia Using SWAT Model. Journal the American Water Resources Association (JAWRA) 46(3):514‐526. DOI: 10.1111/j.1752‐1688.2010.00431.x Abstract: The Soil Assessment Tool (SWAT) was tested for prediction sediment yield in Anjeni‐gauged watershed, Ethiopia. erosion land degradation is a major problem on Ethiopian highlands. objectives this study were...
Reservoir and lake sedimentation is a vital problem in Ethiopia. Constructing small medium size dams at the outlets of sub-catchments within larger catchment helps to reduce transport sediment downstream reservoirs or lakes. This study assessed trapping efficacy (STE) storage (SSDs) built eight northwest Ethiopia, as an off-site measure. Satellite imagery topographic maps were used assess land use/land cover delineate boundaries sub-catchments. In field, trapped by SSDs was measured...