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Hossein Babazadeh  - - - 
Top co-authors See all
Edward Z. Hosseinipour

30 shared publications

Engineering Manager, Ventura County Watershed Protection District, California, USA

Sayyed-Hassan Tabatabaei

18 shared publications

Shahrekord University

Leila Talebi

11 shared publications

University of Alabama, Department of Civil, Construction, and Environmental Engineering, Tuscaloosa, AL

Hossein Sedghi

5 shared publications

Department of Water Sciences and Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

Abdolrasoul Telvari

3 shared publications

Department of Civil Engineering, Islamic Azad University, Ahvaz, Iran

Publication Record
Distribution of Articles published per year 
(2014 - 2018)
Total number of journals
published in
Publications See all
Article 0 Reads 1 Citation Adopting GMS–PSO Model to Reduce Groundwater Withdrawal by Integrated Water Resources Management Fariba Alaviani, Hossein Sedghi, Asghar Asghari Moghaddam, H... Published: 14 July 2018
International Journal of Environmental Research, doi: 10.1007/s41742-018-0115-x
DOI See at publisher website
Article 2 Reads 0 Citations Estimate of Peanut Production Function under Irrigated Conditions and Salinity Ali Abdzad Gohari, Hossein Babazadeh, Ebrahim Amiri, Hossein... Published: 30 March 2018
Polish Journal of Environmental Studies, doi: 10.15244/pjoes/76789
DOI See at publisher website
Article 0 Reads 1 Citation Modeling Climate Variables of Rivers Basin using Time Series Analysis (Case Study: Karkheh River Basin at Iran) Karim Hamidi Machekposhti, Hossein Sedghi, Abdolrasoul Telva... Published: 07 February 2018
Civil Engineering Journal, doi: 10.28991/cej-030970
DOI See at publisher website ABS Show/hide abstract
Stochastic models (time series models) have been proposed as one technique to generate scenarios of future climate change. Precipitation, temperature and evaporation are among the main indicators in climate study. The goal of this study is the simulation and modeling of climatic parameters such as annual precipitation, temperature and evaporation using stochastic methods (time series analysis). The 40-year data of precipitation and 37-year data of temperature and evaporation at Jelogir Majin station (upstream of Karkheh dam reservoir) in western of Iran has been used in this study and based on ARIMA model, The auto-correlation and partial auto-correlation methods, assessment of parameters and types of model, the suitable models to forecast annual precipitation, temperature and evaporation were obtained. After model validation and evaluation, the Predicting was made for the ten future years (2006 to 2015). In view of the Predicting made, the precipitation amounts will be decreased than recent years. As regards the mean of annual temperature and evaporation, the findings of the Predicting show an increase in temperature and evaporation.
Article 1 Read 0 Citations Investigation of Headcut Erosion in Cohesive Soils Masoumeh Ashourian, Mahmood Shafai-Bejestan, Hossein Babazad... Published: 01 January 2018
Water Resources, doi: 10.1134/s0097807818010049
DOI See at publisher website
PROCEEDINGS-ARTICLE 11 Reads 0 Citations Prediction of Annual Inflow to Karkheh Dam Reservoir using Time Series Models Karim Hamidi Machekposhti, Hossein Sedghi, Abdolrasoul Telva... Published: 05 November 2017
Proceedings of First International Electronic Conference on the Hydrological Cycle, doi: 10.3390/chycle-2017-04830
DOI See at publisher website ABS Show/hide abstract
The optimal exploitation of water from a dam reservoir requires a comprehensive knowledge of future availability of water resources. In this case the amount of water that will be available in the future is important. Also, we need to examine the flows at the dam from a short-term perspective. This is necessary to avoid overflowing and to minimize damage. In order to facilitate forecasting of the water resources, many different techniques have been developed through the years. In this paper, using annual mean flow data (since 1958-2005) obtained from jelogir majin Hydrometric station at Karkheh River (upstream of Karkheh Dam), the Auto Regressive Integrated Moving average (ARIMA) model, for prediction of annual mean inflow to Karkheh Dam reservoir was accomplished. On the basic of comparison the results of the model with measured data, the performance of ARIMA (4, 1, 1) model by conditional least square (CLS) estimation parameter method is acceptable.The SAS and SPSS softwares were used to implement of the models.
Article 0 Reads 1 Citation Flood Analysis in Karkheh River Basin using Stochastic Model Karim Hamidi Machekposhti, Hossein Sedghi, Abdolrasoul Telva... Published: 07 October 2017
Civil Engineering Journal, doi: 10.21859/cej-030915
DOI See at publisher website