M
Mohammad Shayannejad
Researcher at Isfahan University of Technology
Publications - 55
Citations - 1596
Mohammad Shayannejad is an academic researcher from Isfahan University of Technology. The author has contributed to research in topics: Irrigation & Surface irrigation. The author has an hindex of 20, co-authored 51 publications receiving 984 citations.
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Artificial neural network for modeling nitrate pollution of groundwater in marginal area of Zayandeh-rood River, Isfahan, Iran
TL;DR: In this article, the authors used MATLAB software and three-layer perceptron network for modeling and estimation of nitrate pollution in groundwater of marginal area of Zayandeh-rood River, Isfahan, Iran, using water quality and artificial neural networks.
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Quantity and quality modelling of groundwater to manage water resources in Isfahan-Borkhar Aquifer
TL;DR: In this paper, the authors investigated the changes in groundwater levels and quality in the Isfahan-Borkhar aquifer and found that excessive extraction of wells has led to a major decline in water levels and a marked increase in concentration of Total Dissolved Solids (TDS).
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Effect of management strategies on reducing negative impacts of climate change on water resources of the Isfahan–Borkhar aquifer using MODFLOW
Kaveh Ostad-Ali-Askari,Hossein Ghorbanizadeh Kharazi,Mohammad Shayannejad,Mohammad Javad Zareian +3 more
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Effect of Climate Change on Precipitation Patterns in an Arid Region Using GCM Models: Case Study of Isfahan-Borkhar Plain
Kaveh Ostad-Ali-Askari,Hossein Ghorbanizadeh Kharazi,Mohammad Shayannejad,Mohammad Javad Zareian +3 more
TL;DR: In this article, a wide range of natural processes and phenomena, with precipitation patterns particularly sensitive to changes in atmospheric forcing, have been studied in the arid and arid regions of the world.
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Development of a new method for determination of infiltration coefficients in furrow irrigation with natural non-uniformity of slope
Hamid Raeisi Vanani,Mohammad Shayannejad,Ali Reza Soltani Tudeshki,Kaveh Ostad-Ali-Askari,Saeid Eslamian,Elham Mohri-Esfahani,Majedeh Haeri-Hamedani,Hossein Jabbari +7 more
TL;DR: In this paper, a new method was developed to calculate the infiltration coefficients in furrow irrigation with natural non-uniformity of longitudinal slope, and the average error in computed infiltrated volumes was reduced to about 4%, which validates the application of the new method.