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    Public participation role in sustainable urban management by quantitative strategic planning matrix (QSPM)

    , Article International Journal of Environmental Research ; Vol. 8, issue. 4 , 2014 , p. 1309-1314 Shiehbeiki, S ; Abbaspour, M ; Monavari S.M ; Arjmandi R ; Lahijanian, A ; Sharif University of Technology
    Public participation is counted as one of the main indexes in sustainable urban management. Based on their nature, metropolitan cities has several and complex problems. For this purpose Tehran metropolitan area is selected. Quantitative Strategic Planning Matrix (QSPM) weighted through a made-byresearcher questionnaire. The reliability of the model was verified by Cronbach’s alpha coefficient. Evaluation matrix for internal and external factors was equal to 1.944 and 3.413, respectively. The strategies were classified and prioritize by quantitative matrix. Suitable strategies for Tehran city are as follows: developing a strategic plan in field of social control participatory management for... 

    Promoting active transportation modes in school trips

    , Article Transport Policy ; Volume 37 , January , 2015 , Pages 203-211 ; 0967070X (ISSN) Ermagun, A ; Samimi, A ; Sharif University of Technology
    Elsevier Ltd  2015
    Urban and transportation planners have put a special focus on students' health and fitness in the past decade, however they struggle to find effective policies to promote walking and biking for school trips. Commuting to school is an opportunity to embed a regular physical activity in students' daily routines and prevent many health issues that are stimulated by physical inactivity during childhood. A three level nested logit model is introduced to explain the motives behind school trip modal selection. Four choice situations, namely walking, driving, school busing, and taking public transit are considered. This study, particularly, underscored the significance of model misspecification in... 

    Large metropolitan water demand forecasting using DAN2, FTDNN, and KNN models: A case study of the city of Tehran, Iran

    , Article Urban Water Journal ; Volume 14, Issue 6 , 2017 , Pages 655-659 ; 1573062X (ISSN) Ghiassi, M ; Fa'al, F ; Abrishamchi, A ; Sharif University of Technology
    Taylor and Francis Ltd  2017
    Efficient operation of urban water systems necessitates accurate water demand forecasting. We present daily, weekly, and monthly water demand forecasting using dynamic artificial neural network (DAN2), focused time-delay neural network (FTDNN), and K-nearest neighbor (KNN) models for the city of Tehran. The daily model investigates whether partitioning weekdays into weekends and non-weekends can improve forecast results; it did not. The weekly model yielded good results by using the summation of the daily forecast values into their corresponding weeks. The monthly results showed that partitioning the year into high and low seasons can improve forecast accuracy. All three models offer very... 

    Minimization of adverse environmental effects of a sports complex through implementation of green management

    , Article 4th International Conference on Urban Regeneration and Sustainability, SUSTAINABLE CITY 2006, SC06, Tallin, 17 July 2006 through 19 July 2006 ; Volume 93 , 2006 , Pages 457-465 ; 17433541 (ISSN); 1845640403 (ISBN); 9781845640408 (ISBN) Abbaspour, M ; Karbasi, A. R ; Khadivi, S ; Sharif University of Technology
    WITPress  2006
    Implementation of green management in sports complexes can ensure the continuous arrangement and assessment of activities from an environmental perspective and will end up with the control and prevention of contaminants. Enghelab Sports Complex in Iran was selected for this study due to its size and long-term activities. The establishment of Enghelab Sports Complex is among important national projects whose framework was founded in the late 1950s. Due to the comprehensive plan of the aforesaid sports complex, numerous centers and departments were established in this site in order to materialize its envisioned sports, recreational and cultural objectives. Green management pursues greater... 

    Failure risk assessment of interdependent infrastructures against earthquake, a Petri net approach: Case study-power and water distribution networks

    , Article Natural Hazards ; Vol. 71, issue. 3 , April , 2014 , pp. 1971-1993 ; ISSN: 0921030X Omidvar, B ; Hojjati Malekshah, M ; Omidvar, H ; Sharif University of Technology
    Metropolitan areas consist of complicated systems of interconnected infrastructures that are highly interdependent. Disruption of one infrastructure may induce disruption in other interconnected ones. The results from analysis of one infrastructure as an independent system are not realistic without considering the behavior of other interconnected infrastructures. Consequently, the study of the interdependencies among critical infrastructures is important for addressing the cascading effects of a failed infrastructure on the entire network to properly model its performance and help the disaster management team in decision making. In this study, the extended Petri net and Markov chain have... 

    Hierarchal assessment of noise pollution in urban areas - A case study

    , Article Transportation Research Part D: Transport and Environment ; Volume 34 , January , 2015 , Pages 95-103 ; 13619209 (ISSN) Abbaspour, M ; Karimi, E ; Nassiri, P ; Monazzam, M. R ; Taghavi, L ; Sharif University of Technology
    Elsevier Ltd  2015
    Noise pollution in urban areas has many harmful effects on the citizens. There are varieties of noise generation sources of which the traffic noise could be a major source. The point which is perhaps less noticed is that sound level is not the only parameter to indicate the extent and intensity of noise pollution. Situation of urban land uses, distribution of population centers and types of passages can deeply affect the concern on this environmental issue but not with a similar ratio. This article presents an overlaying technique to define noise prone areas using all different factors involved. A case study was carried out in the District 14 of Tehran Metropolitan City where there are busy... 

    A compact model for predicting road traffic noise

    , Article Iranian Journal of Environmental Health Science and Engineering ; Volume 6, Issue 3 , 2009 , Pages 181-186 ; 17351979 (ISSN) Golmohammadi, R ; Abbaspour, M ; Nassiri, P ; Mahjub, H ; Sharif University of Technology
    Noise is one of the most important sources of pollution in the metropolitan areas. The recognition of road traffic noise as one of the main sources of environmental pollution has led to develop models that enable us to predict noise level from fundamental variables. Traffic noise prediction models are required as aids in the design of roads and sometimes in the assessment of existing, or envisaged changes in, traffic noise conditions. The purpose of this study was to design a prediction road traffic noise model from traffic variables and conditions of transportation in Iran. This paper is the result of a research conducted in the city of Hamadan with the ultimate objective of setting up a... 

    Reliability framework for characterizing heat wave and cold spell events

    , Article Natural Hazards ; Volume 112, Issue 2 , 2022 , Pages 1503-1525 ; 0921030X (ISSN) Moghim, S ; Jahangir, M. S ; Sharif University of Technology
    Springer Science and Business Media B.V  2022
    Extreme weather events such as heat waves and cold spells affect people’s lives. This study develops a probabilistic framework to evaluate heat waves and cold spells. As case studies, average daily temperatures of meteorological stations of the two cities (Tehran and Vancouver) from 1995 to 2016 are used to identify four main indicators including intensity, average intensity, duration, and the rate of the occurrence. In addition, probabilistic spatial analysis of the events is obtained through MODIS’s land surface temperature product. To include possible uncertainties, the predictive probability distributions of the intensity and duration are derived using a Bayesian scheme and Monte Carlo... 

    Design of a mathematical model to minimize air pollution caused by job trips in Mega Cities

    , Article Scientia Iranica ; Volume 16, Issue 2 B , 2009 , Pages 177-188 ; 10263098 (ISSN) Abbaspour, M ; Dana, T ; Shafiepour, M ; Mahmoudi, M ; Sharif University of Technology
    Urban transportation is one of the main sources of air pollution in mega cities, and urban job related trips can effectively influence the state of air quality. Tehran, the capital of Iran, with a population of 7.3 million, was selected for this study. The present model is designed to investigate the effect on traffic of the business working hours of different occupations and, as a result, on the status of air pollution. Daily job, non-job and recreational trips using the present vehicle fleet is a major factor affecting air pollution in Tehran. In the context of the present study, the necessary information was utilized to define some relations between job trips and pollutant emissions. The... 

    Assessment of the urban heat island in the city of Tehran using reliability methods

    , Article Atmospheric Research ; Volume 225 , 2019 , Pages 144-156 ; 01698095 (ISSN) Jahangir, M. S ; Moghim, S ; Sharif University of Technology
    Elsevier Ltd  2019
    Climate change affects temperature, magnitude, and also the duration of the Urban Heat Island (UHI), which has severe impacts on the environment, communities, and the people's lives. This study evaluates UHI formation in the city of Tehran (Iran) using a reliability framework, which is able to include related uncertainties into the modeling procedure. First, 2 km air temperature field from Weather and Research Forecasting (WRF) model is downscaled to a 50 m grid spacing using a probabilistic downscaling method, which combines inverse distance weighting (IDW) interpolation and a Bayesian regression model. This downscaling method not only can produce a long record of the fine resolution of the... 

    Dust concentration over a semi-arid region: parametric study and establishment of new empirical models

    , Article Atmospheric Research ; Volume 243 , 1 October , 2020 Najafpour, N ; Afshin, H ; Firoozabadi, B ; Sharif University of Technology
    Elsevier Ltd  2020
    In recent years, the city of Tehran, Iran's capital, has encountered numerous dust events so that the dust concentration of PM10 has reached even more than 800 μg m−3. This emphasizes the importance of the statistical study of dust in Tehran and the development of correlations for estimating dust concentration of PM10. In the present study, by evaluating the data measured during dust observations over the years 2013–2016 in Tehran, new statistical models are established for estimating PM10 concentration in terms of horizontal visibility and MODIS AOD. Firstly, simple nonlinear regression models between dust concentration of PM10 and horizontal visibility as well as MODIS AOD are developed.... 

    On the environmental effectiveness analysis of energy policies: A case study of air pollution in the megacity of Tehran

    , Article Science of the Total Environment ; Volume 705 , 2020 Taksibi, F ; Khajehpour, H ; Saboohi, Y ; Sharif University of Technology
    Elsevier B.V  2020
    The present study compared different approaches to assessing the environmental cost-effectiveness of energy policy scenarios. As a case study, the megacity of Tehran in Iran was studied. A key policy challenge in this city is to curb high concentrations of PM2.5 and mitigate the associated adverse impacts. The results demonstrated that in the business as usual case, the spatially averaged primary and secondary PM2.5 concentration in Tehran will increase by 30% in the 2010–2030 period. Adopting certain planned policy scenarios and the corresponding pollutant concentration reductions in Tehran shows that although most of the emission comes from industrial activities around the city, the... 

    Evaluating near highway air pollutant levels and estimating emission factors: Case study of Tehran, Iran

    , Article Science of the Total Environment ; Volume 538 , December , 2015 , Pages 375-384 ; 00489697 (ISSN) Nayeb Yazdi, M ; Delavarrafiee, M ; Arhami, M ; Sharif University of Technology
    Elsevier  2015
    A field sampling campaign was implemented to evaluate the variation in air pollutants levels near a highway in Tehran, Iran (Hemmat highway). The field measurements were used to estimate road link-based emission factors for average vehicle fleet. These factors were compared with results of an in tunnel measurement campaign (in Resalat tunnel). Roadside and in-tunnel measurements of carbon monoxide (CO) and size-fractionated particulate matter (PM) were conducted during the field campaign. The concentration gradient diagrams showed exponential decay, which represented a substantial decay, more than 50-80%, in air pollutants level in a distance between 100 and 150meters (m) of the highway. The... 

    Short-term effects of particle size fractions on circulating biomarkers of inflammation in a panel of elderly subjects and healthy young adults

    , Article Environmental Pollution ; Volume 223 , 2017 , Pages 695-704 ; 02697491 (ISSN) Hassanvand, M. S ; Naddafi, K ; Kashani, H ; Faridi, S ; Kunzli, N ; Nabizadeh, R ; Momeniha, F ; Gholampour, A ; Arhami, M ; Zare, A ; Pourpak, Z ; Hoseini, M ; Yunesian, M ; Sharif University of Technology
    Systemic inflammation biomarkers have been associated with risk of cardiovascular morbidity and mortality. We aimed to clarify associations of acute exposure to particulate matter (PM10(PM < 10 μm), PM2.5-10(PM 2.5–10 μm), PM2.5(PM < 2.5 μm), PM1-2.5(PM 1–2.5 μm), and PM1 (PM < 1 μm)) with systemic inflammation using panels of elderly subjects and healthy young adults. We followed a panel of 44 nonsmoking elderly subjects living in a retirement home and a panel of 40 healthy young adults living in a school dormitory in Tehran city, Iran from May 2012 to May 2013. Blood biomarkers were measured one every 7–8 weeks and included white blood cells (WBC), high sensitive C-reactive protein... 

    Short-term associations between daily mortality and ambient particulate matter, nitrogen dioxide, and the air quality index in a Middle Eastern megacity

    , Article Environmental Pollution ; Volume 254 , 2019 ; 02697491 (ISSN) Amini, H ; Trang Nhung, N. T ; Schindler, C ; Yunesian, M ; Hosseini, V ; Shamsipour, M ; Hassanvand, M. S ; Mohammadi, Y ; Farzadfar, F ; Vicedo Cabrera, A. M ; Schwartz, J ; Henderson, S. B ; Künzli, N ; Sharif University of Technology
    Elsevier Ltd  2019
    There is limited evidence for short-term association between mortality and ambient air pollution in the Middle East and no study has evaluated exposure windows of about a month prior to death. We investigated all-cause non-accidental daily mortality and its association with fine particulate matter (PM2.5), nitrogen dioxide (NO2), and the Air Quality Index (AQI) from March 2011 through March 2014 in the megacity of Tehran, Iran. Generalized additive quasi-Poisson models were used within a distributed lag linear modeling framework to estimate the cumulative effects of PM2.5, NO2, and the AQI up to a lag of 45 days. We further conducted multi-pollutant models and also stratified the analyses by... 

    Source apportionment of fine particulate matter in a Middle Eastern Metropolis, Tehran-Iran, using PMF with organic and inorganic markers

    , Article Science of the Total Environment ; Volume 705 , 2020 Esmaeilirad, S ; Lai, A ; Abbaszade, G ; Schnelle Kreis, J ; Zimmermann, R ; Uzu, G ; Daellenbach, K ; Canonaco, F ; Hassankhany, H ; Arhami, M ; Baltensperger, U ; Prévôt, A. S. H ; Schauer, J. J ; Jaffrezo, J. L ; Hosseini, V ; El Haddad, I ; Sharif University of Technology
    Elsevier B.V  2020
    With over 8 million inhabitants and 4 million motor vehicles on the streets, Tehran is one of the most crowded and polluted cities in the Middle East. Frequent exceedances of national daily PM2.5 limit have been reported in this city during the last decade, yet, the chemical composition and sources of fine particles are poorly determined. In the present study, 24-hour PM2.5 samples were collected at two urban sites during two separate campaigns, a one-year period from 2014 to 2015 and another three-month period at the beginning of 2017. Concentrations of organic carbon (OC), elemental carbon (EC), inorganic ions, trace metals and specific organic molecular markers were measured by chemical...