Indoor Air Quality Assessment of Metro Stations Based on the Optimal Combination Weight and Improved Fuzzy Comprehensive Evaluation
Publication: Journal of Environmental Engineering
Volume 149, Issue 4
Abstract
Aair quality issues and respiratory diseases have become issues of particular concern since the outbreak of the COVID-19 pandemic. The indoor air quality of crowded places such as underground metro stations has received growing attention from passengers and staff, thus requiring both qualitative and quantitative assessment. However, the traditional fuzzy comprehensive evaluation is ineffective in this respect. Therefore, this paper proposed the method of optimal combination weight and improved fuzzy comprehensive evaluation to assess the air quality. First, subjective weights were calculated with the multiple-input weighted precedence chart and analytic hierarchy process; objective weights were computed using the entropy weight and exceedance multiple methods. Second, the moment estimation theory was introduced for the optimal combination of these weights. Results show that the optimal combination weighting method achieves the minimum relative deviation. Moreover, in the traditional fuzzy comprehensive evaluation, the air quality is generally classified based on the maximum membership, and the evaluation is inapplicable when the validity () is less than 0.5. Therefore, the concept of confidence was introduced herein for improvement. Finally, the optimal combination weight and improved fuzzy comprehensive evaluation is proved to be the most reasonable in comparison with the traditional fuzzy comprehensive evaluation and indoor air quality index. This study not only suggests a good method to assess the indoor air quality of metro stations but also provides references for decision makers.
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Data Availability Statement
The data used to support the findings of this study are available from the corresponding author upon request.
Acknowledgments
This work is supported by the Applied Basic Research Project of the Department of Science and Technology of Sichuan Province, China (No. 19YYJC1060).
References
Abdullah, L., and N. D. Khalid. 2012. “Classification of air quality using fuzzy synthetic multiplication.” Environ. Monit. Assess. 184 (11): 6957–6965. https://doi.org/10.1007/s10661-011-2472-1.
Alves, C. A., et al. 2020. “Indoor and outdoor air quality: A university cafeteria as a case study.” Atmos. Pollut. Res. 11 (3): 531–544. https://doi.org/10.1016/j.apr.2019.12.002.
Bernstein, J. A., et al. 2008. “The health effects of nonindustrial indoor air pollution.” J. Allergy Clin. Immunol. 121 (3): 585–591. https://doi.org/10.1016/j.jaci.2007.10.045.
Brainvendra, W. D., M. N. Mohammed, S. Al-Zubaidi, and E. Zubaidi. 2020. “Environment indoor air quality assessment using fuzzy inference system.” ICT Express 6 (3): 185–194. https://doi.org/10.1016/j.icte.2020.05.007.
Chen, W. 2019. “Research on comprehensive performance evaluation of Z power supply branch of Jiangxi power grid.” Master’s thesis, School of Economics and Management, East China Univ. of Technology.
Chen, W., and J. Xia. 2007. “An optimal weights combination method considering both subjective and objective weight information.” Math. Pract. Theory 37 (1): 17–22.
Chen, Y.-H., and C.-Y. Sun. 2001. “A study of the validity of the maximum subordination principle for the fuzzy comprehensive evaluation method.” J. Chongqing Normal Univ. (Nat. Sci.) 18 (1): 45–47.
Chen, Y. X., G. L. Xiu, J. Yan, Y. Zheng, S. Wang, and J. Cai. 2012. “Environmental health risk factors and related standards for urban mass transit underground stations: A review of recent studies.” J. Environ. Health 29 (12): 1139–1148.
Chen, Z., K. Q. Chen, and J. Li. 2021. “Does air pollution affect the transmission of COVID-19? Evidence from China.” China J. Econ. 3 (8): 224–258.
Cheng, Q. S. 1997. “Attribute recognition theoretical model with application.” Acta Sci. Naturalium Universitatis Pekinensis 33 (1): 12–21.
Debnath, J., D. Majumder, and A. Biswas. 2018. “Air quality assessment using weighted interval type-2 fuzzy inference system.” Ecol. Inf. 46 (Jul): 133–146. https://doi.org/10.1016/j.ecoinf.2018.06.002.
EPA. 2000. A guide to air quality and your health, air quality index. Washington, DC: EPA.
EPA of Hong Kong of China. 2019. Guidelines for indoor air quality management in offices and public places. Hong Kong: Environmental Protection Agency.
Fang, Z., Y. Sun, and X. Cheng. 2003. “Using multilevel fuzzy identification way to evaluate lake water quality.” Chongqing Environ. Sci. 25 (10): 39–41.
Gorai, A. K., A. Upadhyay, and P. Goyal. 2014. “Design of fuzzy synthetic evaluation model for air quality assessment.” Environ. Syst. Decis. 34 (3): 456–469. https://doi.org/10.1007/s10669-014-9505-6.
Guo, L., and Y. G. Liu. 2007. “Application of multi input weighted priority chart method in project risk analysis.” Career Horiz. 6: 22.
Ji, W., Z. Liu, C. Liu, C. Wang, and X. Li. 2021. “Characteristics of fine particulate matter and volatile organic compounds in subway station offices in China.” Build. Environ. 188 (Jan): 107502. https://doi.org/10.1016/j.buildenv.2020.107502.
Jiang, W. Q. 2006. “Combination weighting optimization method for multi-attribute decision making.” Oper. Res. Manage. 15 (6): 40–43.
Kim, J. T. 2012. “Sustainable and healthy building.” Energy Build. 46: 1. https://doi.org/10.1016/j.enbuild.2011.10.032.
Li, G., J. P. Li, X. L. Sun, and D. S. Wu. 2017. “Research on a combined method of subjective-objective weighting based on the ordered information and intensity information.” Chin. J. Manage. Sci. 25 (12): 179–187.
Li, S. H., K. H. Hou, C. Deng, X. H. Chen, Y. Q. Liu, Y. W. Zhang, and H. W. Sun. 2021. “Study on tobacco leaf availability during threshing and redrying process based on optimal combination weighting.” Food Mach. 37 (12): 174–180.
Li, Y.-H., Z.-S. Tao, X.-W. Qin, and X.-M. Wang. 2011. “Compination weight method for determining the index weight in geological disaster risk extenics evaluation.” J. Harbin Inst. Technol. 43 (11): 141–144.
Li, Z., Y. Zeng, S. Liu, H. Gong, and P. Niu. 2018. “Application of fuzzy comprehensive evaluation method based on validity in water abundance evaluation for aquifer.” Min. Saf. Environ. Prot. 45 (5): 55–59.
Liu, H., C. Yang, M. Huang, D. Wang, and C. Yoo. 2018. “Modeling of subway indoor air quality using Gaussian process regression.” J. Hazard. Mater. 359 (Oct): 266–273. https://doi.org/10.1016/j.jhazmat.2018.07.034.
Lü, L. Y., and H. Y. Li. 2016. “Air quality evaluation of Beijing-Tianjin-Hebei region of China based on the fuzzy comprehensive evaluation method.” Acta Sci. Naturalium Universitatis Nankaiensis 49 (1): 62–68.
MOHURD (Ministry of Housing and Urban-Rural Development of the People’s Republic of China). 2020. Standard for indoor environmental pollution control of civil building engineering. GB50325-2020. Beijing: MOHURD.
Mokalled, T., J. A. Gérard, M. Abboud, C. Liaud, R. Nasreddine, and S. Le Calvé. 2019. “An assessment of indoor air quality in the maintenance room at Beirut-Rafic Hariri International Airport.” Atmos. Pollut. Res. 10 (3): 701–711. https://doi.org/10.1016/j.apr.2018.11.008.
Nath, R. K., M. F. M. Zain, and M. I. Jamil. 2016. “An environment-friendly solution for indoor air purification by using renewable photocatalysts in concrete: A review.” Renewable Sustainable Energy Rev. 62 (Sep): 1184–1194. https://doi.org/10.1016/j.rser.2016.05.018.
Oh, T., M. Kim, J. Lim, O. Kang, K. Vidya Shetty, B. SankaraRao, C. Yoo, J. H. Park, and J. T. Kim. 2012. “A real-time monitoring and assessment method for calculation of total amounts of indoor air pollutants emitted in subway stations.” J. Air Waste Manage. Assoc. 62 (5): 517–526. https://doi.org/10.1080/10962247.2012.660558.
Onkal-Engin, G., I. Demir, and H. Hiz. 2004. “Assessment of urban air quality in Istanbul using fuzzy synthetic evaluation.” Atmos. Environ. 38 (23): 3809–3815. https://doi.org/10.1016/j.atmosenv.2004.03.058.
Passi, A., S. M. S. Nagendra, and M. P. Maiya. 2021. “Characteristics of indoor air quality in underground metro stations: A critical review.” Build. Environ. 198 (Jul): 107907. https://doi.org/10.1016/j.buildenv.2021.107907.
Peng, C. L. 2019. “Air quality evaluation and influence factors analysis of Hunan province.” Master’s thesis, College of Environmental Science and Engineering, Central South Univ. of Forestry and Technology.
Peng, Z., P. Su, W. Chen, H. Tao, G. Ma, Z. Xia, and T. Bo. 2022. “3D quality evaluation of rock mass in urban underground space based on improved fuzzy analytic hierarchy process.” KSCE J. Civ. Eng. 4829–4839. https://doi.org/10.1007/s12205-022-0045-1.
Plaisance, H., A. Blondel, V. Desauziers, and P. Mocho. 2014. “Characteristics of formaldehyde emissions from indoor materials assessed by a method using passive flux sampler measurements.” Build. Environ. 73 (Mar): 249–255. https://doi.org/10.1016/j.buildenv.2013.12.011.
Pope, C. A., III, R. T. Burnett, G. D. Thurston, M. J. Thun, E. E. Calle, D. Krewski, and J. J. Godleski. 2004. “Cardiovascular mortality and long-term exposure to particulate air pollution: Epidemiological evidence of general pathophysiological pathways of disease.” Circulation 109 (1): 71–77. https://doi.org/10.1161/01.CIR.0000108927.80044.7F.
Possanzini, M., and V. Di Palo. 2003. “Simultaneous determination of HCHO, CH3CHO and O (x) in ambient air by hydrazine reagent and HPLC.” Ann. Chim. 93 (1–2): 149–156.
Saaty, T. L. 1980. The analytic hierarchy process: Planning, priority setting. Resources allocation. New York: McGraw.
SAMR (State Administration for Market Regulation) and Standardization Administration of the People’s Republic of China. 2020. Indoor air quality standard. GB/T18883-2020. Beijing: SAMR.
Setti, L., et al. 2020. “SARS-Cov-2RNA found on particulate matter of Bergamo in Northern Italy: First evidence.” Environ. Res. 188 (Sep): 109754. https://doi.org/10.1016/j.envres.2020.109754.
Shen, Y., X. Peng, T. Shi, X. Mao, and Y. Z. Sun. 2012. “A grey comprehensive evaluation method of power quality based on optimal combination weight.” Autom. Electr. Power Syst. 36 (10): 67–73.
Sowlat, M. H., H. Gharibi, M. Yunesian, M. T. Mahmoudi, and S. Lotfi. 2011. “A novel, fuzzy-based air quality index (FAQI) for air quality assessment.” Atmos. Environ. 45 (12): 2050–2059. https://doi.org/10.1016/j.atmosenv.2011.01.060.
Subway Sports Record. 2021. “Statistics and summary of Chengdu subway passenger flow on January 8, 2021 (Friday).” Baidu. Accessed February 15, 2021. https://baijiahao.baidu.com/s?id=1688402850469400749&wfr=spider&for=pc.
Sun, Z. W., J. H. Chen, M. C. Jia, Q. X. Yao, and B. Xu. 2008. “Air quality assessments by Fuzzy Multifactorial Evaluation in closed environment.” Chem. Eng. (China) 6: 61–63.
UITP (Union Internationale des Transports Publics). 2018. “UITP, world metro figures 2018.” Accessed January 20, 2021. https://cms.uitp.org/wp/wp-content/uploads/2020/06/Statistics-Brief-World-metro-figures-2018V3_WEB.pdf.
Wang, C. M., and Z. Q. Wang. 2021. Application of mathematical statistics. Wuhan, China: Wuhan Univ. of Technology Press.
Wang, F. Q., S. Y. Ma, H. Zhao, and P. H. Liu. 2021. “A fuzzy comprehensive evaluation of water cycle health in Beijing-Tianjin-Hebei region based on combined weights of AHP and entropy method.” South-to-North Water Transfers Water Sci. Technol. 19 (1): 67–74.
WHO (World Health Organization). 2021. “Global air quality guidelines (AQG, 2021).” Accessed January 25, 2021. https://www.who.int/news-room/feature-stories/detail/what-are-the-who-air-quality-guidelines.
Xie, J. J., and C. P. Liu. 2016. Fuzzy mathematics method and its application. 4th ed. Wuhan, China: Huazhong Univ. of Science and Technology Press.
Xie, T. Y. 1992. The study of indoor air quality indicators considering health risk assessment. Taipei, China: National Taipei Univ. of Science and Technology.
Xu, J., W. Wu, T. Huang, and H. Jia. 2014. “Application of improved fuzzy comprehensive evaluation to water quality evaluation in Tongli Town.” J. Hohai Univ. (Nat. Sci.) 42 (2): 143–149.
Yadav, J., V. Kharat, and A. Deshpande. 2014. “Fuzzy description of air quality using fuzzy inference system with degree of match via computing with words: A case study.” Air Qual. Atmos. Health 7 (3): 325–334. https://doi.org/10.1007/s11869-014-0239-x.
Yuan, J., Z. Chen, L. Zhong, and B. Wang. 2019. “Indoor air quality management based on fuzzy risk assessment and its case study.” Sustainable Cities Soc. 50 (Oct): 101654. https://doi.org/10.1016/j.scs.2019.101654.
Zadeh, L. A. 1965. “Fuzzy sets.” Inf. Control 8 (3): 338–353. https://doi.org/10.1016/S0019-9958(65)90241-X.
Zhu, C. 2012. “Research on comfort evaluation and grey theory analysis of indoor environment.” Doctoral dissertation, College of Civil Engineering, Hunan Univ.
Zhu, X., Y. Wang, and D. Li. 2016. “The effectiveness test of the maximum membership principle in fuzzy comprehensive evaluation.” Geomatics Spatial Inf. Technol. 39 (5): 135–143.
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Received: Mar 15, 2022
Accepted: Sep 19, 2022
Published online: Jan 14, 2023
Published in print: Apr 1, 2023
Discussion open until: Jun 14, 2023
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