Volume 23, Issue 69 (6-2023)
jgs 2023, 23(69): 137-153 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
moharreri M, lari K, arkian F, salehi G. Determining Urban Development Orientation Based on Air Pollution Diffusion Modeling from Thermal Power Plants, Case Study: Mashhad. jgs 2023; 23 (69) : 8
URL: http://jgs.khu.ac.ir/article-1-3515-en.html
URL: http://jgs.khu.ac.ir/article-1-3515-en.html
1- , k_lari@iau-tnb.ac.ir
Abstract: (5115 Views)
There are several limiting factors to the development of cities. These factors lead cities to develop in certain directions. Air pollution as a major problem of metropolises can itself be considered as a limiting factor of urban development by urban decision makers. 4 relatively large power plants are operating in Mashhad. There are currently two power plants in the east of the city and two in the west of Mashhad. Most of the fuel in these power plants is gasoline and natural gas. Modeling the air pollutant emissions of these power plants and identifying the pattern of pollutant emissions across the city can play a key role in the quality of life and health of approximately 3.5 million Mashhad residents. The outputs of this model can also be used as an effective parameter in estimating the urban development model. In this study, the emission of NOX, CO and 10PM pollutants was modeled and evaluated using AERMOD software in Mashhad. Using Arc GIS software, the population affected by these air pollutants was determined by one year solar time, the concentration of pollutants in different areas of the city and the area affected by the pollution concentration range was determined.
Article number: 8
Type of Study: Research |
Subject:
Geography and Urban Planning
References
1. شاهمحمدی، عاطفه، بیات، علی، مشهدی¬زاده ملکی، سعید، 1398، بررسی رفتار دی‌اکسید نیتروژن در شهرستان مشهد و ارتباط آن با پارامترهای هواشناسی، نشریه تحقیقات کاربردی علوم جغرافیایی، زیر چاپ.
2. فردی، غلامرضا اسدالله، زنگوئی، 1396، حسین، پیش‌بینی آلودگی 10PM هوای شهر مشهد با استفاده از شبکه‌های عصبی مصنوعی MLP و مدل زنجیره مارکف، نشریه تحقیقات کاربردی علوم جغرافیایی، ۱۷ (۴۷).
3. نژاد کورکی، فرهاد، توسعه مدل پخش آلودگی هوا (AERMOD) در نرم‌افزار (MATLAB)، کارشناسی ارشد مهندسی محیط‌زیست، دانشکده منابع طبیعی و کویر شناسی، دانشگاه یزد، 1392.
4. Aarshabh Misra, Matthew J. Roorda, Heather L. MacLean, (2013). An integrated modelling approach to estimate urban traffic emissions. Atmospheric Environment 73 (2013) 81_91. [DOI:10.1016/j.atmosenv.2013.03.013]
5. AERMIC, 2009. AERMOD Modelling System.
6. AERMIC.www.epa.gov/ttn/scram/dispersion prefrec.htm
7. ArcGIS for (Desktop, Engine, Server) 10.2.2 | Samples and Utilities".
8. Azapagic A. Z. Chalabi Z., Fletcher T. Grundy C. Jonesa M. Leonardo G. Osammord O. Sharifie V. Swithenbanke J. Tiwarya A. Vardoulakisb S. (2013), An integrated approach to assessing the environmental and health impacts of pollution in the urban environment: Methodology and a case study, Process Safety and Environmental Protection 91, pp. 508-520. [DOI:10.1016/j.psep.2012.11.004]
9. Boris Galvis, Michael Bergin, James Boylan, Yan Huang, Michelle Bergin, Armistead G. Russel (2015), Science of the Total Environment. Air quality impacts and health-benefit valuation of a low-emission technology for rail yard locomotives in Atlanta Georgia. 533 (2015) 156-164. [DOI:10.1016/j.scitotenv.2015.06.064] [PMID]
10. Chad W. Milando, Sheena E. Martenies, Stuart A. Batterman, (2016). Assessing concentrations and health impacts of air quality management strategies: Framework for Rapid Emissions Scenario and Health impact ESTimation (FRESH-EST). Environment International 94, pp 473-481. [DOI:10.1016/j.envint.2016.06.005] [PMID] []
11. Chan. T.L., Dong. G., Leung. C.W., Cheung. C.S., Hung. W.T., 2002. Validation of a two-dimensional pollutant dispersion model in an isolated street canyon, Journal of Atmospheric Environment 36, 861-872. [DOI:10.1016/S1352-2310(01)00490-3]
12. Chao Yuan, Leslie Norford, Rex Britter, Edward Ng, (2016). A modelling-mapping approach for fine-scale assessment of pedestrian-level wind in high-density cities. Building and Environment 97, pp 152-165. [DOI:10.1016/j.buildenv.2015.12.006]
13. Dipankar.C, Gautam.B, Sakir.A., 2010. Numerical simulation of flow past row of square cylinders for various separation ratios, Computers & Fluids39 , 49-59. [DOI:10.1016/j.compfluid.2009.07.002]
14. Harikishan Perugu, Heng Wei, Zhuo Yao, (2016). Integrated data-driven modeling to estimate PM2.5 pollution from heavy-duty truck transportation activity over metropolitan area. Transportation Research Part D 46 (2016) 114-127. [DOI:10.1016/j.trd.2016.03.013]
15. Masoud Fallah Shorshani, Christian Seigneur, Lucie Polo Rehn, Hervé Chanut. Atmospheric dispersion modeling near a roadway under calm meteorological conditions, Transportation Research Part D. 34 (2015) 137-154. [DOI:10.1016/j.trd.2014.10.013]
16. Moharreri, M.A, Arkian, F, Lari, K, Salehi, G.R., 2019, PM10 and CO Dispersion Modeling of Emissions from the Four Thermal Power Plants in Mashhad-Iran, Scientia Iranica, inpress. [DOI:10.20944/preprints201902.0163.v1] []
17. Qian Di, Joel Schwartz, Petros Koutrakis (2016). A Hybrid Prediction Model for PM2.5 Mass and Components Using a Chemical Transport Model and Land Use Regression. http://dx.doi.org/10.1016/j.atmosenv.2016.02.002. [DOI:10.1016/j.atmosenv.2016.02.002]
18. Rafael Borge, Adolfo Narros, Begoña Artíñano, Carlos Yagüe, Francisco Javier Gómez-Moreno, David de la Paz, Carlos Román-Cascón, Elías Díaz, Gregorio Maqueda, Mariano Sastre, Christina Quaassdorff, Chrysanthi Dimitroulopoulou, Sotiris Vardoulakis, (2016). 10.1016/j.atmosenv.2016.06.020.
19. Shih Ying Chang, William Vizuete, Alejandro Valencia, Brian Naess, Vlad Isakov, Ted Palma, (2015). A modeling framework for characterizing near-road air pollutant concentration at community scales. Science of the Total Environment 538 (2015) 905-921. [DOI:10.1016/j.scitotenv.2015.06.139] [PMID]
20. Support.esri.com Retrieved 2015-12-09.
21. Tamura.T., 2008. Towards practical use of LES in wind engineering, Journal of Wind Engineering and Industrial Aerodynamics 96 1451-1471. [DOI:10.1016/j.jweia.2008.02.034]
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
Journal of Applied researches in Geographical Sciences are fully compliant with open access mandates, by publishing its articles under Creative Commons Attribution 4.0 International License (CC BY 4.0).
