Seyed Mohammad Ashrafi

Dr. Seyed Mohammad Ashrafi

Department of Civil Engineering, Shahid Chamran University of Ahvaz, Ahvāz, Khūzestān, Iran
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Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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7 December 2024 in Acta Geophysica
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Journal Article
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MRMohammad Roohi
Mohammad Roohi
HGHamid Reza Ghafouri
Hamid Reza Ghafouri
Seyed Mohammad AshrafiSeyed Mohammad Ashrafi
Seyed Mohammad Ashrafi

26 October 2022 in Stochastic Environmental Research and Risk Assessment
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Journal Article
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HGHooman Gholami
Hooman Gholami
MLMorteza Lotfirad
Morteza Lotfirad
Seyed Mohammad AshrafiSeyed Mohammad Ashrafi
Seyed Mohammad Ashrafi
Seyed Mostafa Biazar SeighalaniSeyed Mostafa Biazar Seighalani
Seyed Mostafa Biazar Seighalani
VSVijay P. Singh
Vijay P. Singh

21 September 2023 in Stochastic Environmental Research and Risk Assessment
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Journal Article
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HNHossein Namdari
Hossein Namdari
Ali HaghighiAli Haghighi
Ali Haghighi
Seyed Mohammad AshrafiSeyed Mohammad Ashrafi
Seyed Mohammad Ashrafi


3 September 2020 in Journal of Water and Climate Change
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Seyed Mohammad AshrafiSeyed Mohammad Ashrafi
Seyed Mohammad Ashrafi
HGH. Gholami
H. Gholami
MNM. R. Najafi
M. R. Najafi
Hydrological drought plays an important role in planning and managing water resources systems to meet increasing water demands due to population growth. In this study, the effects of climate change on the hydrological drought characteristics of the Gharasu basin, as one of the major sub-basins of the Karkheh river basin, are investigated. This river basin has experienced severe droughts, and floods, in recent years. The uncertainties in projected drought conditions are characterized based on a suite of 34 general circulation models (GCMs). Based on hydrological simulations over the historical period, 12 GCMs are selected to estimate projected runoff values and the corresponding streamflow drought index (SDI) in the future period. The ‘run theory’ is applied to evaluate the drought characteristics under Representative Concentration Pathways (RCPs) 4.5 and 8.5 emission scenarios. Results show that uncertainties of drought projection under RCP8.5 are higher than under RCP4.5, where among different drought characteristics, the maximum uncertainty is detected for drought severity and maximum drought duration. Moreover, the uncertainty of drought projection in wet periods is greater than that in dry periods.

9 July 2023 in Journal of Cleaner Production
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Journal Article
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MVMasoud Vahabzadeh
Masoud Vahabzadeh
AAAbbas Afshar
Abbas Afshar
AMAmir Molajou
Amir Molajou
KPKosar Parnoon
Kosar Parnoon
Seyed Mohammad AshrafiSeyed Mohammad Ashrafi
Seyed Mohammad Ashrafi