Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Mohammad Rezaie-Balf"'
Autor:
Kangjie Sun, Mohammad Rajabtabar, Seyedehzahra Samadi, Mohammad Rezaie-Balf, Alireza Ghaemi, Shahab S. Band, Amir Mosavi
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 15, Iss 1, Pp 251-271 (2021)
Monitoring the water contaminants is of utmost importance in water resource management. Prediction of the total dissolved solid (TDS) is particularly essential for water quality management and planning in the areas exposed to a mixture of pollutants.
Externí odkaz:
https://doaj.org/article/f0f97eb4a9cb4c8b97e14bc415f6db2e
Autor:
Amin Kazemian-Kale-Kale, Azadeh Gholami, Mohammad Rezaie-Balf, Amir Mosavi, Ahmed A. Sattar, Amir H. Azimi, Bahram Gharabaghi, Hossein Bonakdari
Publikováno v:
Geosciences, Vol 11, Iss 8, p 308 (2021)
Entropy models have been recently adopted in many studies to evaluate the shear stress distribution in open-channel flows. Although the uncertainty of Shannon and Tsallis entropy models were analyzed separately in previous studies, the uncertainty of
Externí odkaz:
https://doaj.org/article/b89d54946235422eaa4a4ed800109e18
Autor:
Nasrin Fathollahzadeh Attar, Quoc Bao Pham, Sajad Fani Nowbandegani, Mohammad Rezaie-Balf, Chow Ming Fai, Ali Najah Ahmed, Saeed Pipelzadeh, Tran Duc Dung, Pham Thi Thao Nhi, Dao Nguyen Khoi, Ahmed El-Shafie
Publikováno v:
Applied Sciences, Vol 10, Iss 2, p 571 (2020)
Hydrological modeling is one of the important subjects in managing water resources and the processes of predicting stochastic behavior. Developing Data-Driven Models (DDMs) to apply to hydrological modeling is a very complex issue because of the stoc
Externí odkaz:
https://doaj.org/article/3751b3b3bfc44d728289ec709df2f076
Autor:
Mohammad Rezaie-Balf, Niloofar Maleki, Sungwon Kim, Ali Ashrafian, Fatemeh Babaie-Miri, Nam Won Kim, Il-Moon Chung, Sina Alaghmand
Publikováno v:
Energies, Vol 12, Iss 8, p 1416 (2019)
The precise forecasting of daily solar radiation (DSR) is receiving prominent attention among thriving solar energy studies. In this study, three standalone models, including gene expression programing (GEP), multivariate adaptive regression splines
Externí odkaz:
https://doaj.org/article/84f2f85bfd4246ff9267f63b1c849eb6
Publikováno v:
Geocarto International. 37:12638-12668
Publikováno v:
Hydrological Sciences Journal. 66:1437-1456
This study evaluated the effectiveness of Climate Hazards Group InfraRed Precipitation with Station (CHIRPS) satellite rainfall data for the development of multi-step ahead streamflow forecasting m...
Autor:
Ahmed M. A. Sattar, Amin Kazemian-Kale-Kale, Bahram Gharabaghi, Amir Mosavi, Mohammad Rezaie-Balf, Azadeh Gholami, Amir H. Azimi, Hossein Bonakdari
Publikováno v:
Geosciences, Vol 11, Iss 308, p 308 (2021)
Geosciences
Volume 11
Issue 8
Geosciences
Volume 11
Issue 8
Entropy models have been recently adopted in many studies to evaluate the shear stress distribution in open-channel flows. Although the uncertainty of Shannon and Tsallis entropy models were analyzed separately in previous studies, the uncertainty of
Autor:
Vijay P. Singh, Meysam Alizamir, Mohammad Rezaie-Balf, Ozgur Kisi, Niloofar Maleki, Jong-Tak Lee, Nam-Won Kim, Sungwon Kim
Publikováno v:
Environmental Monitoring and Assessment. 193
Total organic carbon (TOC) has vital significance for measuring water quality in river streamflow. The detection of TOC can be considered as an important evaluation because of issues on human health and environmental indicators. This research utilize
Publikováno v:
Water Resources Management. 33:3595-3613
Due to large number of decision variables and several hydraulic constraints, optimal design of water distribution networks (WDNs) is considered as one of the most complex optimization problems. This paper introduces and applies a new optimization app
Publikováno v:
Journal of Hydrology. 572:470-485
Developing hydrologic models based on data-driven approaches (DDA) is very complicated due to the complex nature of meteorological data. For example, a high degree of irregularities, periodicities, jumps, and other forms of stochastic behavior influe