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2017 | 26 | 2 |

Tytuł artykułu

Air quality management in tehran using a multi-dimensional decision support system

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN
Management of air pollution in Tehran, Iran, has been a significant challenge for urban authorities in recent years owing to the number and complexity of the factors affecting the formation and spread of the pollutions. The present study used an integrated modeling approach involving Spatio, Temporal, Uncertainty Decision Support Systems (STUDSS) using Multi Criteria Decision Analysis (MCDA) and an Artificial Neural Network (ANN) for the virtual simulation and strategy assessment of air pollution. Since sources of air pollution and associated pollution control strategies are dependent on location, time and uncertain variables, Multi-Dimensional Decision Support System (MDDSS) can be efficient tool for urban air quality decision-making process. In order to model and evaluate air pollution, time-series data over a period of four years, screened and classified management strategies as well as other structural and environmental data such as land uses, terrain topography, heights of buildings, climatic conditions, population density and pollution sources were modeled using advanced software packages of MCDA and ANN. They were ultimately simulated and evaluated using the MDDSS. The results obtained from the implementation of the STUDSS showed that this tool could be used to provide sustainable solutions to air quality in metropolises and could respond to social satisfaction and economic development.

Słowa kluczowe

Wydawca

-

Rocznik

Tom

26

Numer

2

Opis fizyczny

P.593-603,fig.,ref.

Twórcy

autor
  • Department of Environmental Management, Graduate School of the Environment and Energy, Science and Research Branch, Islamic Azad University, Tehran, Iran
autor
  • Department of Environmental Engineering, Graduate School of the Environment and Energy, Science and Research Branch, Islamic Azad University, Tehran, Iran
autor
  • Department of Environmental Health Engineering, Tehran University of Medical Sciences, Tehran, Iran
  • Geomatics College, NCC of Iran, Tehran, Iran

Bibliografia

  • 1. Tehran Municipality, Atlas of Tehran Metropolis, ICT organization, Tehran, IRI, 2012.
  • 2. Cofała J., Amann M., Asman W., Bertok I., Heyes C., Hoeglund I.L., Klimont Z., Schoepp W., Wagner F. Integrated assessment of air pollution and greenhouse gases mitigation in Europe. Archives of Environmental Protection. 36 (1), 29, 2010.
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  • 4. Cheng B., Li S., Wang M., Li Y., Investigation of Combined Pollution between Malathion and a Variety of Pollutants Based on the Fractional Factorial Design, Polish Journal of Environmental Studies, 24 (5), 1939, 2015.
  • 5. Zhu Y.G. Environmental impacts of rapid urbanization in China: a showcase of recent research developments, Environment Science and Pollution Research, 19, 1351, 2012.
  • 6. Kobus D., Kostrzewa J. The use of spatial data processing tools for air quality assessments – practical examples, Air Quality Monitoring Department, Institute of Environmental Protection – National Research Institute (IOS-PIB), Information Systems in Management: 4, 251, 2015.
  • 7. Cai Y., Zhang H., Pan W. Detecting Urban Growth Patterns and Wetland Conversion Processes in a Natural Wetlands Distribution Area, Polish Journal of Environmental Studies, 24 (5), 1919, 2015.
  • 8. Jank R., Kellerov D., Schieber B. Spatial and Temporal Variations in O₃ Concentrations in Western Carpathian Rural Mountain Environments, Polish Journal of Environmental Studies, 24 (5), 2003, 2015.
  • 9. Kanevski M. Advanced Mapping of Environmental Data, Geo statistics, Machine Learningand Bayesian Maximum Entropy , John Wiley & Sons, Inc., River Street London W1T 5DX Hoboken, UK, 2011.
  • 10. Syp A., Faber A., Borzęcka-Walker M., Osuch D. Assessment of Greenhouse Gas Emissions in Winter Wheat Farms Using Data Envelopment Analysis Approach, Polish Journal of Environmental Studies, 24 (5), 2197, 2015.
  • 11. Younsi Z., Hamdadou D., Bouamrane K. Integration of GIS and Artificial Neural Networks Faculty of Sciences, University of Oran, Algeria, Published by The International Federation of Surveyors (FIG), DK-1780 Copenhagen Denmark, 2010.
  • 12. Wallenius J.D., Dyer J.S., Fishburn P.C., Steuer R.E., Zionts S., Deb,K., Multiple criteria decision making, multi attribute utility theory: Recent accomplishments and what lies ahead. Management Science, 54 (7), 1336, 2008.
  • 13. Nejadkoork F., Nicholson K. Integrating passive sampling and interpolation techniques to assess the spatiotemporal variability of urban pollutants using limited data sets, Environmental Engineering and Management Journal, 11 (9), 1649, 2012.
  • 14. Fischer M.M., Getis A. Handbook of Applied Spatial Analysis – Software Tools, Methods and Applications Springer-Verlag Berlin Heidelberg / 35, 2011.
  • 15. Holnicki P., Nahorski Z., Tainio M. Uncertainty in air quality forecasts caused by emission uncertainty. Proceedings of HARMO 13th Conference on Harmonization within Atmospheric Dispersion Modeling, 119, ISBN 2-8681-5062-4, Paris, France, June 1-4, 2010.
  • 16. Gschwind B., Lefevre M., Blanc I., Ranchin T, Wyrwa A., Drebszok K., Cofala J., Fuss S. Including the temporal change in PM₂.₅ concentration in the assessment of human health impact: Illustration with renewable energy scenarios to 2050, Environmental Impact Assessment Review, 2014.
  • 17. Elbir T., Mangir N., Kara M., Simsir S., Eren T., Ozdemir S. Development of a GIS-based decision support system for urban air quality management in the city of Istanbul. Atmospheric Environment, 44 (4), 441, 2010.
  • 18. Lu P., Mei K., Zhang Y., Liao Lingling, Long B., Dahlgren Randy A., Zhang M. Spatial and temporal variations of nitrogen pollution in Wen-Rui Tang River watershed, Zhejiang, China, Environmental Monitoring and Assessment, 180, 501, 2011.
  • 19. Filip A., Drag P. The creation of "questions bank" and introduction of two examination session, Information Systems in Management, 4, 241, 2015.
  • 20. Nyerges T., Roderick M., Prager S., Bennett D., Lam N. Foundations of sustainability information representation theory: spatial-temporal dynamics of sustainable systems, International Journal of Geographical Information Science, 28 (5), 1165, 2014.
  • 21. Peckham S., Grell G., McKeen S., Fast J., Gustafson W., Ghan S. Characterization of urban air quality using GIS as a management system. Environmental pollution, 122 (1), 15, 2010.
  • 22. Gettinger J., Kiesling E., Stummer C., Vetschera R. A comparison of representations for discrete multi-criteria decision problems, Decision Support Systems, 54, 976, 2013.
  • 23. Jiménez E., Tapiador F.J., Sáez-Martínez F. Atmospheric pollutants in a changing environment, Environment Science and Pollution Research, 22, 4789, 2015.
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  • 25. Lin B.B., Morefield P.E. The Vulnerability Cube: A Multi-Dimensional Framework for Assessing Relative Vulnerability, Environmental Management, 48, 631, 2011.
  • 26. Matkan A., Shakiba A.R., Purali S.H., Baharloo I. Determination of Spatial Variation of CO and PM10 Air Pollutants, Using GIS Techniques (Case study : Tehran, Iran), International Geomatic conference, Tehran, Iran, 2011.

Typ dokumentu

Bibliografia

Identyfikatory

Identyfikator YADDA

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