Safwan Mohammed
University of Debrecen
62 Papers
45 Citations
Safwan Mohammed is an academic researcher from University of Debrecen. The author has contributed to research in topics: Environmental science & Biology. The author has an hindex of 10, co-authored 36 publications. Previous affiliations of Safwan Mohammed include United States Department of Agriculture.
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Papers
Estimation of soil erosion risk in southern part of Syria by using RUSLE integrating geo informatics approach
Safwan Mohammed,Karam Alsafadi,Swapan Talukdar,Samer Kiwan,Sami Hennawi,Omran Alshihabi,Mohammed Sharaf,Endre Harsanyie +7 more
TL;DR: In this article, the authors used the Revised Universal Soil Loss Equation (RUSLE) model and Geographic Information System (GIS) approach to estimate soil erosion in the eastern part of Yarmouk Basin in Al-Swida governorate (Southern Syria).
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Assessing the impacts of agricultural drought (SPI/SPEI) on maize and wheat yields across Hungary
Safwan Mohammed,Karam Alsafadi,G. O. Enaruvbe,Bashar Bashir,Ahmed Elbeltagi,Adrienn Széles,Abdullah Alsalman,E.G. Harsányi +7 more
TL;DR: This paper examined the physical properties of agricultural drought (i.e., intensity, duration, and severity) in Hungary from 1961 to 2010 based on the standardized precipitation index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI), and found that the western part of Hungary has significantly more prone to agricultural drought than the eastern part of the country.
Spatial-Temporal Evolution of Drought Characteristics Over Hungary Between 1961 and 2010
TL;DR: In this paper, the authors used climate datasets obtained from Climate of the Carpathian region project-CARPATCLIM for 1045 gridded points covering entire Hungary.
Combination of Limited Meteorological Data for Predicting Reference Crop Evapotranspiration Using Artificial Neural Network Method
Ahmed Elbeltagi,Attila Nagy,Safwan Mohammed,Chaitanya B. Pande,Mamleshwar Kumar,Shakeel Ahmad Bhat,József Zsembeli,László Huzsvai,János Tamás,Elza Kovács,E.G. Harsányi,Csaba Juhász +11 more
TL;DR: In this paper , the authors used an ANN to estimate the reference crop evapotranspiration (ETo) based on limited meteorological data using an artificial neural network (ANN) method.
CMIP5 climate projections and RUSLE-based soil erosion assessment in the central part of Iran.
Fatemeh Hateffard,Safwan Mohammed,Karam Alsafadi,G. O. Enaruvbe,Ahmad Heidari,Hazem Ghassan Abdo,Jesús Rodrigo-Comino +6 more
TL;DR: In this paper, the authors present a novel study where changes in soil erosion by water in the central part of Iran under current and future climate scenarios are analyzed using the Climate Model Intercomparison Project-5 (CMIP5) under three Representative Concentration Pathway-RCP 2.6, 4.5 and 8.5 scenarios.