M
Mojgan Mirzaei
Researcher at University of Calgary
Publications - 8
Citations - 122
Mojgan Mirzaei is an academic researcher from University of Calgary. The author has contributed to research in topics: Internal medicine & Medicine. The author has an hindex of 3, co-authored 5 publications receiving 86 citations.
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Journal ArticleDOI
Transportation network vulnerability analysis for the case of a catastrophic earthquake
Navid Khademi,Behrooz Balaei,Matin Shahri,Mojgan Mirzaei,Behrang Sarrafi,Moeid Zahabiun,Afshin Shariat Mohaymany +6 more
TL;DR: In this paper, the authors proposed a post-disaster vulnerability analysis for the designed emergency transportation networks in Tehran, an earthquake-prone metropolis in a developing country, by identifying redundancy-based isolation measures to find out which zones in this city are most susceptible to disruptions of the transport system due to a devastating earthquake, and which emergency response trips are most vulnerable in the super-chaotic situation after the earthquake.
Journal ArticleDOI
Estimation of local daily PM2.5 concentration during wildfire episodes: integrating MODIS AOD with multivariate linear mixed effect (LME) models
Mojgan Mirzaei,Stefania Bertazzon,Stefania Bertazzon,Isabelle Couloigner,Babak Farjad,Babak Farjad,Roland Ngom +6 more
TL;DR: In this article, two nested linear mixed effect (LME) models are developed to estimate the link between AOD and PM2.5, and the results indicate that the potential of the LME model increases when additional variables are integrated with AOD measures in a multivariate framework.
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Modeling Wildfire Smoke Pollution by Integrating Land Use Regression and Remote Sensing Data: Regional Multi-Temporal Estimates for Public Health and Exposure Models
TL;DR: In this paper, the authors developed land-use regression (LUR) models to investigate the impact that a cluster of wildfires in the northwest USA had on the level of PM in southern Alberta (Canada), in the summer of 2015.
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Assessment of machine learning model performance for seasonal precipitation simulation based on teleconnection indices in Iran
Jalil Helali,Mehdi Mohammadi Ghaleni,Seyed Asaad Hosseini,Ali Lotfi Siraei,Vahideh Saeidi,Farshad Safarpour,Mojgan Mirzaei,Mohammad Hassan Lotfi +7 more
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Assessing the Potential of Artificial Intelligence (Artificial Neural Networks) in Predicting the Spatiotemporal Pattern of Wildfire-Generated PM2.5 Concentration
TL;DR: In this paper, the authors developed artificial neural networks (ANNs) and multilayer perceptron (MLP) by integrating ground-based PM2.5 measurements with AOD images and meteorological and spatial variables.