seyed ali jozi
@iau-tnb.ac.ir
Full Professor, Department of Environment Engineering
Islamic Azad University. North Tehran Branch
RESEARCH INTERESTS
Environment Impact Assessment
Land Use Planning
HSE -MS
Risk Assessment
Environment Evaluation
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Fatemeh Mirzababaei, Seyed Ali Jozi, Omid Rafiey, and Mohammad Ebrahim Ramazani
HARD Publishing Company
Polychlorinated Biphenyls (PCBs) are mutagenic, carcinogenic, and persistent organic pollutants of the marine and coastal environment. No previous research has precisely used barnacles as potential PCBs bioindicators in the Caspian sea. The present survey was done to add the PCBs concentrations amongst the barnacle and sediment samples collected from 5 important Iranian ports besides the Caspian sea. Barnacle and sediment samples were collected from Astara, Anzali, Caspian, Kiashahr, and Chamkhaleh ports. Samples were transferred to the laboratory and analyzed for the presence and concentration of PCBs using GC-MS. Eighty different types of PCB were detected in the examined samples. PCBs concentration ranged from 02.00±00.10 to 53.00±00.60 ng/g. PCB-77 (53.00±00.60 ng/g in Chamkhaleh, 53.00±01.20 ng/g in Caspian, 53.00±02.40 ng/g in Anzali, and 53.00±2.7 ng/g in Astara ports) had the highest concentration in barnacle samples. PCB-52 (53.00±00.70 ng/g in Chamkhaleh port) had the highest concentration in sediment samples. PCB-114 had the lowest concentration amongst the barnacle (02.00±00.10 ng/g in Astara port) and sediment (03.00±00.20 ng/g in Anzali port) samples. This study is the first report evaluating the presence and concentration of PCBs in barnacle in the
Seyed Alireza Sharifi, Mojgan Zaeimdar, Seyed Ali Jozi, and Rokhshad Hejazi
Springer Science and Business Media LLC
Sepida Darabi, Seyed Masoud Monavari, Seyed Ali Jozi, Raziyeh Rahimi, and Alireza Vafaeinejad
Springer Science and Business Media LLC
The large scale of wind projects and wind turbines’ height result in a high level of visibility in the surrounding environment. Urban environments and tourism landscapes are visually sensitive viewpoints with sensitive receptors that need accurate visual impact assessments for the prediction of new projects’ effects on the existing landscape settings. In this study, distance, visibility, receptors sensitivity and view percentage that are four important criteria of visual impact have been used for impact assessment of Manjil wind farm’s visual effect in the urban environment and tourist destinations of Manjil City in Gilan Province of Iran. The main asset of this study is applying the multi-criteria decision-making method and also using the receptor sensitivity factor which helps to the detection of the most fragile areas based on the sensitivity of the potential significant observers and prepares the possibility of calculating a more accurate extent of the affected areas according to the impact magnitude. Significant viewpoints were determined based on the land use maps and field study and the calculated visibility and view percentage of the points combined by interpolation methods to prepare criteria layers. Receptor sensitivity map developed with classifying the land use data according to the observers’ sensitivity. The multi-criteria decision-making method and determined weights were used to calculate the visual impact magnitude. Significant viewpoints of the tourist destinations and buildings of the study area were affected by the high visual impact. Comparison of the calculated results from utilized techniques shows 84.73% similarity.
Mahdyeh Hajbabaie, Seyed Ali Jozi, Forough Farsad, Hadi Kiadaliri, and Alireza Gharagozlou
Springer Science and Business Media LLC
Farkhondeh Ebadzadeh, Seyed Masoud Monavari, Seyed Ali Jozi, Maryam Robati, and Razieh Rahimi
Springer Science and Business Media LLC
F. Ebadzadeh, S. M. Monavari, S. A. Jozi, M. Robati, and R. Rahimi
Springer Science and Business Media LLC
Razieh Doregar Zavareh, Tooraj Dana, Emad Roayaei, Seyed Massoud Monavari, and Seyed Ali Jozi
MDPI AG
The present study provides a framework for assessing the environmental risk associated with fire and explosion of gasoline storage tanks in oil depots. The proposed framework includes three main steps: problem formulation, risk analysis, and risk description. The necessary basic details were identified and collected in formulating the problem. The source, pathway, receptor (SPR) model was employed in the risk analysis process. Each part was analyzed using tools that provide appropriate results and maintain the model integrity; additionally, the findings can be used in the whole process. The Dow Fire and Explosion Index (F&EI) was deployed to scrutinize the source, the pollutant dispersion and transmission path characteristics were measured to inspect the pathway, and the vulnerability indicators of the receptor and the degree of impact were determined to scrutinize the receptor. Finally, the risk assessment results were presented in the form of risk description tables. The purpose of this integration was to develop a framework thoroughly evaluating the risk associated with fire and explosion to the point of environmental consequences and providing a better understanding of the outcomes. This study, conducted for the first time specifically for an oil depot, provides an exhaustive view highly contributing to managers and decision makers.
T. J. Nasab, S. M. Monavari, S. A. Jozi, and H. Majedi
Springer Science and Business Media LLC
Ghodratollah Siahpour, Seyed Ali Jozi, Neda Orak, Hossein Fathian, and Soolmaz Dashti
Informa UK Limited
Mohamad Hassan Golrayhan, Deyed Ali Jozi, M. Zaeimdar and S. Rezayan
R. Moghadam, S. Jozi, R. Hejazi, M. Zaeimdar and S. Malmasi
Tehran is reportedly one of the most polluted cities in the world, so that a serious measure is to provide simple and practical solutions for effectively reducing and eliminating air pollution in this city. This study aimed to introduce feasible strategies to reduce air pollution in District 2 of Tehran Municipality regarding the existing conditions and facilities using a SWOT model. In the present survey research using SWOT analysis method, first the strengths, weaknesses, opportunities and threats of air quality management were identified using the opinions of experts in the study district, followed by evaluating via IFE and EFE matrix tables and determining their weighted scores. The situations of internal and external environmental factors were analyzed through a set of weighted points. Then, through SWOT matrix, air pollution management strategies were identified in the district. Finally, the obtained strategies were prioritized using QSPM. The scores from assessing internal (2.02) and external (2.66) factors revealed that air quality management of the study district is in a conservative situation. The SWOT matrix results presented 21 strategies, 6 of which were in the conservative situation. Based on the prioritization of the QSPM for 6 strategies, the highest attractiveness was related to " Implementing a comprehensive energy management plan for vehicles and industries and plan for the use of clean energy " with a total attractiveness score of 10.36 for the study district. The result showed the efficiency of SWOT matrix in air quality management of the study area.
E. Mojaver, S. Sobhanardakani, F. Moattar, S. A. Jozi, and S. M. Monavari
Springer Science and Business Media LLC
This study aimed at upgrading the Air Indicator Report for Public Awareness and Community Tracking (Airpacts) model to evaluate the physical effects of sulfur dioxide (SO2) emissions from Shahid Rajaee power plant on the building façades in Qazvin, Iran in 2018. For this purpose, first, the methodological requirements of the model for the study area, including wind speed, relative humidity, and temperature, were analyzed. Then, the concentration of SO2 emission from the power plant stack was calculated using the Aeroqual Model 200. The obtained data were processed and loaded into the Airpacts model version 1.0. After localization of the costs for reconstruction of 1 m2 of façade, including the costs of purchasing materials, installation, and transport from the power plant, the damage posed by SO2 to the building façades in Qazvin was calculated. Outputs of the modified model suggested that the damage to the building façades included cleansing in contact with SO2 was 494,558,878.12 m2. Based on the calculations, the cost of damage caused by SO2 was estimated to be $0.25 per Megawatt-hour (MWh) electricity generation, reaching an amount of $29,422 annually. Based on the localized results obtained by the modified Airpacts, the external cost of damage to the façades was $0.3 per MWh electricity generation, reaching an amount of $35,720 annually. To overcome the constraints of the original model concerning the constant parameters of mixing height and wind speed in the default model algorithm, the two parameters were considered dynamic variables in the modified model.
Narges Zaredar, Seyed Ali Jozi, Nematollah Khorssani, and Seyed Mahmoud Shariat
Springer Science and Business Media LLC
S. Jozi, Ghodratollah Siahpour, N. Orak, H. Fathian and S. Dashti
Due to the difficulty of estimating the pollutant gas concentration in power plants, this study aimed to estimate the concentration of the air pollutants in a thermal power plant using the support vector machine model (SVM). The concentration of environmental pollutants in the thermal power plant, Shazand, Iran, at different distances from the chimney was estimated using SVM. The effective input variables in the SVM model were selected using the Partial Mutual Information (PMI) algorithm. The modeling period was weekly from December 2018 to December 2019.The PMI algorithm showed that the effective input variables for estimating the concentration of carbon monoxide (CO), carbon dioxide (CO2), sulfur dioxide (SO2), and nitrogen dioxide (NOX) pollutants at different distances are the same gas’ concentration at the power plant chimney. Among air pollutants, the maximum concentration is related to Co2 (2811.63 µg/m3), occurring at a distance of 5 km from the power plant chimney and the lowest concentration is related to Co (5.5 µg/m3, occurring at a distance of 20 km from the power plant chimney. The polynomial kernel function is the best kernel function of the SVM model for estimating SO2 and NOX concentrations at different distances and the best kernel function in the SVM model for estimating CO2 and CO concentrations.The SVM model has good accuracy and performance in estimating the pollutant concentrations, and selecting effective input variables in the SVM model with the PMI algorithm increases the model accuracy.
Bahareh Samadi Kuchaksaraei, Afshin Danehkar, Seyed Mohammad Reza Fatemi, Seyed Ali Jozi, and Ehsan Ramezani-Fard
Springer Science and Business Media LLC
Sheida Malekafzali, Seyed Ali Jozi, Morteza Kashefiolasl, Mojgan Zaeimdar, and Mohsen Sahti
Knowledge E
Introduction: This study provides a scientometric analysis of the health impact assessment within AirQ between 2005 and 2019, which are listed in the web science databases. Studies have been conducted in various indexed journals, researchers in World Health Organization (WHO) regional areas on product articles, international collaboration, and citation and keyword analysis.
 Materials and methods: Bibliographic records of research publications and articles were found and after screening process were input to study plan. The authors compared the growth of article that was published in this period time, conducted a citation and co-authorship analysis, and keywords co-occurrences relationship by publication using the scientometric visualization, VOSviewer.
 Results: The AirQ applying tool in research literature has seen most increase in 2017 production over the study period. Contributions by authors affiliated with WHO-Eastern Mediterranean Regional Office (EMRO) account for the most research literature. Most of studies focus on particles Particulate Matter with diameter <10 µm (PM ) and Particulate Matter with diameter <2.5µm (PM 2.5) and according to total mortality and in hospital admission, Respiratory Disease (RD) and Cardio Vascular Disease (CVD) are most commonly.
 Conclusion: All potential of AirQ has not been used in studies. Despite all function its scope is limited to several countries in the WHO regions. Implementation of “Driving Force, Pressure, State, Exposure, Effect, and Action” (DPSEEA) conceptual model need some evidence that AirQ can achieve and estimate Health Impact Assessment (HIA) but we didn’t find any articles that work on intervention by it on policy makers and management programs.
Arezoo Salamatnia and Sayed Ali Jozi
Springer Science and Business Media LLC
This study presents a novel method for modeling urban ecological resilience based on urban development uses. To this end, the factors affecting the ecological resilience were defined, followed by determining various types of strategic orientation and urban development uses on a local scale in the desired areas. A model was designed, developed, and tested through several techniques in the geographic information system (GIS) environment. References and other related documents were reviewed for ecological resilience modeling. Next, resilience factors in different fields were reviewed and classified in the Vensim software. A total of 8 factors including significant areas of ecological function (green spots, distance from wetlands, distance from rives, forest, and wildlife including birds and rodents), climate, topography (elevation from the sea level, slope, and aspect), spatial structure (composition, distribution, and height of buildings), human factors (waste management, water pollution, distance from industries, and access to water resources), significant protected areas, social factors, and natural hazards (distance from the fault, distance from the landslide, and distance from the flood) were selected. In the next step, a final correlation was developed based on the main factors of urban ecological resilience. Eventually, a sustainability barometer was applied to assess the sustainability of Yasuj City, Iran. Based on the obtained results, the values of the ecosystem and the human system are 57 and 49, respectively, with the ecosystem being in the higher part of the human segment. Evaluating the two parts of the system in the diagram revealed that Yasuj has an ecosystem with medium sustainability. The SWOT technique was applied to identify the development strength, weaknesses, opportunities, and threats of the study. The results of the SWOT model illustrate that weakness and instability in management, poor advertisement, and inconsistency of the related organizations in different developing areas and people are the main causes of the city’s underdevelopment. Overall, using this method in the analysis of urban resilience can help the planners decided about improving the potential opportunities and urban ecosystem services.