Comprehensive Environmental Monitoring based on Stations of Environmental Pollutants (Air, Water and Soil) in Tehran

Document Type: Research Article


Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran


This research is conducted with an aim of locating the monitoring stations of environmental pollutants (air, water and soil) and monitoring management of such pollutants in Tehran. Given the nature of the research and the factors and elements investigated in this study, the research method is in the line of descriptive-analytical studies, and in terms of objective, this is an applied-developmental research. In summary, the specific and practical purposes of this research include; determining the factors, criteria and sub-criteria associated with monitoring of environmental pollutants (air, water and soil), prioritizing and ranking the criteria and sub-criteria of indicators with a specific logic, and providing a pattern for management on monitoring of environmental pollutants in Tehran. ArcGis software was applied for data analysis and providing digital and basic maps. Analytic network process (ANP) was used for weighting the indicators studied in the research and the fuzzy logic model was used for data analysis and overlapping. According to the table of verbal and numerical scales based on hourly method, a pairwise comparison was performed between air, water and soil environments based on importance and preference and the data were imported into the Super-Decision software. According to the output of this software, the air weight of 673, water weight of 226, and soil weight of 101 were obtained, respectively. As a result, this output showed us that air is ranked first, water is ranked second, and soil is ranked third, in terms of importance.  From the results and prepared (weighted) maps and also in response to the research hypotheses, it was found that some of the available stations are not properly located. Finally, the location of monitoring stations was presented in four classes of very desirable, desirable, relatively desirable, and undesirable. 


Abbaspour, A., Saremi, M., Alibabaei, A., & Moghanlu, P. S. (2020). Determining the optimal human reliability analysis (HRA) method in healthcare systems using Fuzzy ANP and Fuzzy TOPSIS. Journal of Patient Safety and Risk Management, 2516043519900431.
AlAttar, A., Rouillard, L., & Kormushev, P. (2019). Autonomous air-hockey playing cobot using optimal control and vision-based bayesian tracking. In Proc. 20th International Conference Towards Autonomous Robotic Systems (TAROS 2019).
Alizadeh, R., Soltanisehat, L., Lund, P. D., & Zamanisabzi, H. (2020). Improving renewable energy policy planning and decision-making through a hybrid MCDM method. Energy Policy, 137, 111174.
Amirahmadi, H., & Ali, K. (2017). The transformation of Tehran from a Garrison Town to a Primate City: A tale of rapid growth and uneven development. In Urban development in the Muslim world (pp. 109-136). Routledge.
Asif, Z., & Chen, Z. (2019). An Integrated Multicriteria Decision Analysis System for Reducing Air Emissions from Mining Process. Environmental Modeling & Assessment, 1-15.
Bachagha, N., Wang, X., Luo, L., Li, L., Khatteli, H., & Lasaponara, R. (2020). Remote sensing and GIS techniques for reconstructing the military fort system on the Roman boundary (Tunisian section) and identifying archaeological sites. Remote Sensing of Environment, 236, 111418.
Biglari, H., Afsharnia, M., Alipour, V., Khosravi, R., Sharafi, K., & Mahvi, A. H. (2017). A review and investigation of the effect of nanophotocatalytic ozonation process for phenolic compound removal from real effluent of pulp and paper industry. Environmental Science and Pollution Research, 24(4), 4105-4116.
Ceccaroni, L. (2001). ONTOWEDSS-An ontology-based environmental decision-support system for the management of wastewater treatment plants. Universitat Politècnica de Catalunya.
Chen, X., Li, F., Zhang, J., Zhou, W., Wang, X., & Fu, H. (2020). Spatiotemporal mapping and multiple driving forces identifying of PM2. 5 variation and its joint management strategies across China. Journal of Cleaner Production, 250, 119534.
Chen, Y. S., Chuang, H. M., Sangaiah, A. K., Lin, C. K., & Huang, W. B. (2019). A study for project risk management using an advanced MCDM-based DEMATEL-ANP approach. Journal of Ambient Intelligence and Humanized Computing, 10(7), 2669-2681.
Danesh, G., Monavari, S. M., Omrani, G. A., Karbasi, A., & Farsad, F. (2019). Compilation of a model for hazardous waste disposal site selection using GIS-based multi-purpose decision-making models. Environmental monitoring and assessment, 191(2), 122.
De Nevers, N. (2010). Air pollution control engineering. Waveland press.
Dinan, N. M., Keshtkar, M., & Mokhtari, Z. (2020). Site selection of a waste incineration plant using integrated fuzzy-ANP and weighted sum-ANP in Qazvin Province, Iran. International Journal of Environment and Waste Management, 25(3), 381-394.
Dwivedi, M. K., Shyam, B. S., Shukla, R., Sharma, N. K., & Singh, P. K. (2020). GIS Mapping of Antimalarial Plants Based on Traditional Knowledge in Pushparajgarh Division, District Anuppur, Madhya Pradesh, India. Journal of Herbs, Spices & Medicinal Plants, 1-23.
Eghbal, N., Nasrabadi, T., Karbassi, A. R., & Taghavi, L. (2019). Investigating the pattern of soil metallic pollution in urban areas (case study: a district in Tehran city). International Journal of Environmental Science and Technology, 16(11), 6717-6726.
Fei, L. (2020). D-ANP: a multiple criteria decision making method for supplier selection. Applied Intelligence, 1-18.
Gaafar, M., Mahmoud, S. H., Gan, T. Y., & Davies, E. G. (2020). A practical GIS-based hazard assessment framework for water quality in stormwater systems. Journal of Cleaner Production, 245, 118855.
Goovaerts, P., Avruskin, G., Meliker, J., Slotnick, M., Jacquez, G., & Nriagu, J. (2004, June). Modeling uncertainty about pollutant concentration and human exposure using geostatistics and a space-time information system: Application to arsenic in groundwater of Southeast Michigan. In Accuracy 2004: Proceedings of the 6th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Portland.
Hoek, G., Beelen, R., De Hoogh, K., Vienneau, D., Gulliver, J., Fischer, P., & Briggs, D. (2008). A review of land-use regression models to assess spatial variation of outdoor air pollution. Atmospheric environment, 42(33), 7561-7578.
Kazemi-Beydokhti, M., Abbaspour, R. A., Kheradmandi, M., & Bozorgi-Amiri, A. (2019). Determination of the physical domain for air quality monitoring stations using the ANP-OWA method in GIS. Environmental monitoring and assessment, 191(2), 299.
Khan, S. A., Alenezi, M., Agrawal, A., Kumar, R., & Khan, R. A. (2020). Evaluating Performance of Software Durability through an Integrated Fuzzy-Based Symmetrical Method of ANP and TOPSIS. Symmetry, 12(4), 493.
Modak, M., Ghosh, K. K., & Pathak, K. (2019). A BSC-ANP approach to organizational outsourcing decision support-A case study. Journal of Business Research, 103, 432-447.
Mohammadi-Zadeh, M. J., Karbassi, A., Bidhendi, G. N., Abbaspour, M., & Padash, A. (2017). An analysis of air pollutants’ emission coefficient in the transport sector of Tehran. Open Journal of Ecology, 7(05), 309.
Mohammadi-Zadeh, M. J., Karbassi, A., Bidhendi, G. N., Abbaspour, M., & Padash, A. (2017). Functions and Curves Analysis of Air Indicators Pollutant Emission in Transport Sector of Tehran. Transylvanian Review, 6(10).
Nasab, F. N., Karbassi, A. R., & Ghoddousi, J. (2018). Criteria selection for sensitivity evaluation framework in coastal areas; Bushehr Province, Iran.
Padash, A. (2017). Modeling of Environmental Impact Assessment Based on RIAM and TOPSIS for Desalination and Operating Units. Environmental Energy and Economic Research, 1(1), 75-88.
Padash, A., & Ataee, S. (2019). Prioritization of Environmental Sensitive Spots in Studies of Environmental Impact Assessment to Select the Preferred Option, Based on AHP and GIS Compound in the Gas Pipeline Project. Pollution, 5(3), 671-685.
Padash, A., & Ghatari, A. R. (2020). Toward an Innovative Green Strategic Formulation Methodology: Empowerment of corporate social, health, safety and environment. Journal of Cleaner Production, 121075.
Rückerl, R., Greven, S., Ljungman, P., Aalto, P., Antoniades, C., Bellander, T., ... & von Klot, S. (2007). Air pollution and inflammation (interleukin-6, C-reactive protein, fibrinogen) in myocardial infarction survivors. Environmental health perspectives, 115(7), 1072-1080.
Safavi, S. Y., & Alijani, B. (2006). Study of effective geographical factorsthe air pollution in Tehran city. Geogr Res J, 58, 99-112.
Shirani-Bidabadi, N., Nasrabadi, T., Faryadi, S., Larijani, A., & Roodposhti, M. S. (2019). Evaluating the spatial distribution and the intensity of urban heat island using remote sensing, case study of Isfahan city in Iran. Sustainable cities and society, 45, 686-692.
Skjøth, C. A., Sommer, J., Stach, A., Smith, M., & Brandt, J. (2007). The long‐range transport of birch (Betula) pollen from Poland and Germany causes significant pre‐season concentrations in Denmark. Clinical & Experimental Allergy, 37(8), 1204-1212.
Tian, C., & Peng, J. (2020). An integrated picture fuzzy ANP-TODIM multi-criteria decision-making approach for tourism attraction recommendation. Technological and Economic Development of Economy, 26(2), 331-354.
Wang, H., Zhuang, B., Chen, Y., Li, N., & Wei, D. (2018). Deep Inferential Spatial-Temporal Network for Forecasting Air Pollution Concentrations. arXiv preprint arXiv:1809.03964.
Wu, L., Bai, H., Yuan, C., & Xu, C. (2019). FANPCE technique for risk assessment on subway station construction. Journal of Civil Engineering and Management, 25(6), 599-616.
Wu, Y., Wang, J., Ji, S., & Song, Z. (2020). Renewable energy investment risk assessment for nations along China’s Belt & Road Initiative: An ANP-cloud model method. Energy, 190, 116381.
Zhang, N., Zhao, X., Liu, T., Lei, M., Wang, C., & Wang, Y. (2020). Layout Planning of Highway Transportation Environment Monitoring Network: The Case of Xinjiang, China. Sustainability, 12(1), 290.
Zhou, J., Wu, Y., Wu, C., He, F., Zhang, B., & Liu, F. (2020). A geographical information system based multi-criteria decision-making approach for location analysis and evaluation of urban photovoltaic charging station: A case study in Beijing. Energy Conversion and Management, 205, 112340.