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The Impact of Iran–Iraq War on the Population of Cities in Iran
, M.Sc. Thesis Sharif University of Technology ; Vesal, Mohammad (Supervisor)
Abstract
In economic literature, there are two major theories about population distribution; One perspective gives geography a central role, and the second one emphasizes path dependency. In this study, we investigate the Iran-Iraq war as an exogenous shock to the population of Iranian cities to answer the basic question of which theory best explains the population distribution. The Iran-Iraq war began in 1980, with Iraq invasion of Iran's western borders. Some border cities of Iran were captured at the beginning of the war and forced migration was inflicted on their population. non-captured cities near the western border were repeatedly targeted by artillery, airstrike and missile attacks, yet they...
Reliability of Tehran transportation network during earthquakes
, Article Scientia Iranica ; Volume 23, Issue 4 , 2016 , Pages 1618-1626 ; 10263098 (ISSN) ; Nassiri, H ; Sharif University of Technology
Sharif University of Technology
2016
Abstract
Tehran is the capital of Iran and is one of the largest cities in the world. With its history of earthquakes, high population density, and a population of over 8.5 million, it must be prepared to cope with disaster. This article introduces a new method for estimating the reliability of a roadway network that considers the physical characteristics of the road and link capacity degradation. The proposed method was applied to a real road network and the connectivity reliability of the city was calculated. The proposed technique for computing connectivity reliability is sensitive to the characteristics of the road and adjacent buildings. The results indicate that northern Tehran, with a low...
An adaptive neural network-fuzzy linear regression approach for improved car ownership estimation and forecasting in complex and uncertain environments: The case of Iran
, Article Transportation Planning and Technology ; Volume 35, Issue 2 , 2012 , Pages 221-240 ; 03081060 (ISSN) ; Neshat, N ; Rafiee, K ; Zohrevand, A. M ; Sharif University of Technology
Abstract
This paper applies a novel adaptive approach consisting of Artificial Neural Network (ANN) and Fuzzy Linear Regression (FLR) to improve car ownership forecasting in complex, ambiguous, and uncertain environments. This integrated approach is applied to forecast car ownership in Iran from 1930 to 2007. In this study, the level of car ownership is viewed as the result of demographic, politico-social, and urban structure factors including average family size, total population density, urban population density, urbanization rate, gross national product per capita, gasoline price, and total road length. To capture the potential complexity, uncertainty, and linearity relation between the car...
Application of population balance equation in modeling of asphaltene particle size distribution and characterization of aggregation mechanisms under miscible gas Injection
, Article Journal of Molecular Liquids ; Volume 232 , 2017 , Pages 207-213 ; 01677322 (ISSN) ; Hamed Mahvelati, E ; Ameli, F ; Dabir, B ; Rashtchian, D ; Sharif University of Technology
Elsevier B.V
2017
Abstract
Particle size distribution (PSD) is an important factor that determines how asphaltene instability can damage porous media during natural depletion and enhanced oil recovery processes. In this work, aggregate size distribution under natural depletion and miscible nitrogen injection processes are determined via image analysis techniques and the results are modelled by population balance equation. Unimodal distribution curves in natural depletion show the dominance of particle-particle aggregation mechanism and the clustering is detected only around crude oil bubble point pressure. It is also observed that miscible nitrogen injection considerably increases the number and size of asphaltene...
A study of liquid drainage rate from foam with population balance equation: impact of bubble evolution
, Article Colloid and Polymer Science ; Volume 296, Issue 6 , 2018 , Pages 1097-1108 ; 0303402X (ISSN) ; Ghazanfari, M. H ; Seyyedsar, S. M ; Sharif University of Technology
Springer Verlag
2018
Abstract
A significant challenge of foam injection is the stability of the foam in formations. In this study, the modeling of liquid drainage and the impact of some parameters (i.e., concentration of surfactants, nano-particles, and monovalent ions) on the liquid drainage rate and foam stability were investigated by using a population balance model. First, foam bubble size distribution was experimentally measured and used as input for the population balance model. The population balance equations were solved numerically, and the number density of bubble size distribution as a function of time was obtained. Then, the liquid drainage rate was calculated using volume balance equations. It is shown that...