Please login first
Hossein Babazadeh  - - - 
Top co-authors See all
Mehdi Homaee

38 shared publications

Faculty of Agriculture, Tarbiat Modares University Department of Soil Science Tehran Iran

Masoud Parsinejad

5 shared publications

University of Tehran Department of Irrigation and Reclamation Engineering Tehran Iran

Ali Morshedi

4 shared publications

Leila Talebi

4 shared publications

8
Publications
0
Reads
0
Downloads
11
Citations
Publication Record
Distribution of Articles published per year 
(2011 - 2018)
Total number of journals
published in
 
6
 
Publications See all
Article 0 Reads 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
ABS Show/hide abstract
Headcut, known as knickpoint migration too, is developed due to sudden change in channel bed followed by bed scour and erosion which progressing upstream. The results are the downstream morphological change and transporting massive sediment to the downstream reservoir. Most of the past studies focus on non-cohesive soils, although many problems occur because of cohesive soils. In this study, 10 different samples of cohesive soils in long term consolidation with different composition of silt and clay were tested under different circumstances of waterfall height and flow velocity to investigate the neck migration rate and the sediment yield. Tests were continued to reach a constant migration rate. One of the effective phenomena in all tests was tensional cracks on soil surface. The size and number of these cracks have inverse relation with percent of clay. Because of these cracks, massive erosion occurs at the beginning of all tests. By reducing percent of clay, headcut, waterfall height and sediment yield were increased and by reducing waterfall height and flow velocity these parameters were reduced. In lower percent of clay, headcut erosion will occur quickly with more slants. Caving phenomenon was not observed in any tests and massive erosion rate was more quickly.
Article 0 Reads 0 Citations Basil root water uptake derived models under combined water and nitrogen deficit conditions Hossein Babazadeh, Mahdi Sarai Tabrizi, Mehdi Homaee Published: 07 February 2017
Irrigation and Drainage, doi: 10.1002/ird.2104
DOI See at publisher website
ABS Show/hide abstract
The objective of this research was to introduce and evaluate derived models under simultaneous water and nitrogen deficit stress conditions and consequently calibrating their parameters for basil. Therefore to do so, in order to introduce and evaluate derived models under simultaneous water and nitrogen deficit stress conditions, derived models from the composition of Mitscherlich–Baule (MB) for nutrient stress conditions and the models of Feddes (F), van Genuchten (VG), recommended exponential (EXP) and Homaee (H) for water stress conditions and also the composition model of Liebig–Sprengel (LS) for nutrients and the model of Feddes (F) for water stress conditions were presented and evaluated. This experiment was conducted with four irrigation water quantity levels of 120, 100, 80 and 60% of crop water requirement and four nitrogen fertilizer levels of 100, 75, 50 and 0% of fertilizer requirement based on a soil fertility test with three replicates. The results indicated that of the evaluated models, based on calculated statistical indices, the derived models of MB-EXP, MB-F, MB-VG and MB-H (mentioned above) had the best fitting on the measured data, respectively, compared to actual data. The results of calculated statistics to compared models based on the different nitrogen and water irrigation levels indicated that MB-EXP and MB-F using nRMSE statistics were 2.78 and 3.64, and EF statistics of both was 0.99% and they showed the highest accuracy in estimating basil yield. Copyright © 2017 John Wiley & Sons, Ltd.RésuméL'objectif de cette recherche était de présenter et d'évaluer le stress hydrique et la sensibilité aux nutriments du basilic à partir de modèles dérivés sous différents stress simultanés, et d'étalonner leurs paramètres. Les modèles dérivés de la composition de Mitscherlich–Baule (MB) pour les éléments nutritifs, d'une part, les modèles de Feddes (F), van Genuchten (VG), recommandé exponentiel (EXP) et Homaee (H) pour des conditions de stress hydrique, d'autre part, ont été présentés et évalués, ainsi que le modèle de composition de Liebig–Sprengel (LS) pour les nutriments et le modèle de Feddes (F) pour des conditions de stress hydrique. Cette expérience a été menée avec quatre niveaux de quantité d'eau d'irrigation, 120, 100, 80 et 60% des besoins en eau des cultures et quatre niveaux d'engrais azotés, 100, 75, 50 et 0% des besoins en engrais basé sur le test de la fertilité du sol avec trois répétitions. Les résultats indiquent que, parmi les modèles évalués, basés sur les indices statistiques calculés, le modèle dérivé de MB-EXP, F-MB, MB-TB, et MB-H a eu le meilleur ajustement aux données mesurées, respectivement. Les résultats des statistiques des modèles calculées sur les différents niveaux d'azote et d'irrigation de l'eau indiquent que MB-EXP et MB-F en utilisant des statistiques nRMSE étaient 2.78 et 3.64, et que leurs statistiques EF étaient de 0.99%; ils ont montré en outre la plus grande précision dans l'estimation du rendement du basilic. Copyright © 2017 John Wiley & Sons, Ltd.
Article 0 Reads 4 Citations An interactive fuzzy programming approach for bi-objective straight and U-shaped assembly line balancing problem S.T. Sayyari, M.H. Alavidoost, Hossein Babazadeh Published: 01 March 2016
Applied Soft Computing, doi: 10.1016/j.asoc.2015.11.025
DOI See at publisher website
ABS Show/hide abstract
Highlights•We developed a new fuzzy mixed-integer linear programming model for SALBP and SULBP.•We proposed a new two-phase interactive fuzzy programming to solve the problems.•Our interactive fuzzy approach is capable to handle any practical MOLP models. AbstractThe consideration of this paper is given to address the straight and U-shaped assembly line balancing problem. Although many attempts in the literature have been made to develop deterministic version of the assembly line model, the attention is not considerably given to those in uncertain environment. In this paper, a novel bi-objective fuzzy mixed-integer linear programming model (BOFMILP) is developed so that triangular fuzzy numbers (TFNs) are employed in order to represent uncertainty and vagueness associated with the task processing times in the real production systems. In this proposed model, two conflicting objectives (minimizing the number of stations as well as cycle time) are considered simultaneously with respect to set of constraints. For this purpose, an appropriate strategy in which new two-phase interactive fuzzy programming approach is proposed as a solution method to find an efficient compromise solution. Finally, validity of the proposed model as well as its solution approach are evaluated though numerical examples. In addition, a comparison study is conducted over some test problems in order to assess the performance of the proposed solution approach. The results demonstrate that our proposed interactive fuzzy approach not only can be applied in ALBPs but also is capable to handle any practical MOLP models. Moreover, in light of these results, the proposed model may constitute a framework aiming to assist the decision maker (DM) to deal with uncertainty in assembly line problem.
Article 0 Reads 1 Citation Adopting adequate leaching requirement for practical response models of basil to salinity Mahdi Sarai Tabrizi, Hossein Hassanpour Darvishi, Hossein Ba... Published: 01 January 2016
International Agrophysics, doi: 10.1515/intag-2016-0002
DOI See at publisher website
ABS Show/hide abstract
Several mathematical models are being used for assessing plant response to salinity of the root zone. Objectives of this study included quantifying the yield salinity threshold value of basil plants to irrigation water salinity and investigating the possibilities of using irrigation water salinity instead of saturated extract salinity in the available mathematical models for estimating yield. To achieve the above objectives, an extensive greenhouse experiment was conducted with 13 irrigation water salinity levels, namely 1.175 dS m−1 (control treatment) and 1.8 to 10 dS m−1. The result indicated that, among these models, the modified discount model (one of the most famous root water uptake model which is based on statistics) produced more accurate results in simulating the basil yield reduction function using irrigation water salinities. Overall the statistical model of Steppuhn et al. on the modified discount model and the math-empirical model of van Genuchten and Hoffman provided the best results. In general, all of the statistical models produced very similar results and their results were better than math-empirical models. It was also concluded that if enough leaching was present, there was no significant difference between the soil salinity saturated extract models and the models using irrigation water salinity.
Conference 0 Reads 0 Citations Assessment of Groundwater Vulnerability in a Coastal Region Using DRASTIC and IM-DRASTIC models: Case study of Kish Isla... Sayyed-Hassan Tabatabaei, Niloofar Khoshdooz, Hossein Babaza... Published: 29 May 2014
World Environmental and Water Resources Congress 2014, doi: 10.1061/9780784413548.028
DOI See at publisher website
ABS Show/hide abstract
A significant proportion of the world's population lives in coastal zones, where water resource requirements are extremely high for drinking water supply, industry, agriculture, and tourism. Therefore, monitoring and taking administrative measures in these areas has been significantly increased. Also, the measures are more significant and critical where the aquifer has limited water and is a vital resource. Coastal aquifers potentially tend to be contaminated by seawater intrusion caused by the intensive exploitation of the groundwater resources. This study is done to evaluate Kish Island aquifer vulnerability. Kish Island is a 91.5 km2 resort island, located in the northern Persian Gulf and in close proximity of southern shores of Iran. To study groundwater vulnerability of the island, the DRASTIC model was employed and a modified version was developed base on the coastal aquifer conditions known as IM-DRASTIC. A new parameter was added to DRASTIC model that describes the balance between seawater and groundwater level; this new parameter indicates the potential of seawater intrusion into the aquifer. Two sets of vulnerability maps were produced by DRASTIC and IM-DRASTIC models. The correlation of the maps was calculated with electrical conductivity (EC) as the main contaminant. Based on the DRASTIC vulnerability analysis, it was found that 23.8%, 49.9%, and 26.3% of Kish Island areas have low, high, and very extreme groundwater contamination risk, respectively. The results of IM-DRASTIC vulnerability analysis show that 20.4%, 44.8%, and 34.8% of Kish Island is under average, high and extreme contamination risk, respectively. Overall, the results show that IM-DRASTIC model has more agreement with the coastal zones condition especially salinity distribution. The model clearly supports delineation of groundwater supply protection zones and the aquifer protection areas from seawater intrusion.
Conference 0 Reads 0 Citations Validation and Performance of Several Radiation Models in Shahrekord Plain Sayyed-Hassan Tabatabaei, Mohammad Amin Zarei, Hossein Babaz... Published: 29 May 2014
World Environmental and Water Resources Congress 2014, doi: 10.1061/9780784413548.175
DOI See at publisher website
ABS Show/hide abstract
Solar radiation has a basic role in evapotranspiration and consequently on water requirements. This parameter is affected by elevation above sea level that has been less discussed. The objective of the present study is assessing and comparing the ability of several important models in calculating solar radiation (Rs) in Shahrekord plain as a region with high elevation in Iran. The equations used including Hargreaves-Samani (with initial coefficients), Annandale et al., Doorenbos-Pruitt, Ertekin-Yaldiz, Allen, Samani, Goodin et al., and Mahmood-Hubbard models. The values of estimated radiation were compared with the values of measured radiation. The results showed that all methods except the Samani method on average provided underestimations compared with measured radiation, and the Samani model overestimated by 40%. Generally the adjusted Annandale et al. model (in adjusting the primary Hargreaves-Samani model) with underestimation equal to 6%, root mean square error (RMSE) equal to 6.95 MJ/(m2.day), relative error (RE) equal to 1.62, index of agreement equal to 0.77, mean bias error (MBE) equal to -1.25 MJ/(m2.day), and model efficiency (ME) equal to 0.11 had the best and most accurate results in estimating solar radiation in the studied area and the primary Hargreaves-Samani equation (with initial coefficients) was in the next order. Also the adjusted Samani (in adjusting initial coefficient of the Hargreaves-Samani model) and the adjusted Goodin et al. models were the poorest equations respectively in estimating solar radiation in the present study.