[1] S V Razavi-Termeh, A Sadeghi-Niaraki, S M Choi. Effects of air pollution in spatio-temporal modeling of asthma-prone areas using a machine learning model. Environmental Research, 200, 111344(2021).
[2] K J Lu, P P Duan, F Du. Primary exploration of the general ecological security for city. Safety and Environmental Engineering, 13, 83-86(2006).
[3] A M Liu. Research on the pollution property of atmospheric particulates in city region. Safety and Environmental Engineering, 16, 15-19(2009).
[4] G H Wang, Q M Liu. Air quality evaluation of Caofeidian district by fuzzy comprehensive evaluation method. Environment and Sustainable Development, 43, 42-44(2018).
[5] Y J Pu, L B Wang. Discussion on comprehensive index assessment method of environmental air quality. Environmental Science Survey, 29, 93-94(2010).
[6] J Hu, L Z Xu, J S Zhang. Modified grey clustering model on air quality assessment. Journal of Fujian Normal University(Natural Science Edition), 28, 49-54(2012).
[7] S A Abdul-Wahab, C S Bakheit, S M Al-Alawi. Principal component and multiple regression analysis in modelling of ground-level ozone and factors affecting its concentrations. Environmental Modelling & Software, 20, 1263-1271(2005).
[8] P Liu. Research on air quality assessment method based on principal component analysis. Environmental Protection and Circular Economy, 38, 46-52(2018).
[9] R Zhang, X Y Zhang, H G Lu et al. Urban air quality evaluation by analytic hierarchy process and principal component analysis: A case study of Xuzhou City. Safety and Environmental Engineering, 24, 103-107(2017).
[10] S Sahrir, A M Abdullah, Z Ponrahono et al. Environmetric study on air quality pattern for assessment in klang valley, Malaysia. International Journal of Recent Technology and Engineering (IJRTE), 8, 17-24(2019).
[11] V Sruthi Krishnan, C Mohammed Firoz. Regional urban environmental quality assessment and spatial analysis. Journal of Urban Management, 9, 191-204(2020).
[12] A Astel, S Tsakovski, P Barbieri et al. Comparison of self-organizing maps classification approach with cluster and principal components analysis for large environmental data sets. Water Research, 41, 4566-4578(2007).
[13] X M Zhu, L Li, S Lv et al. Air quality evaluation from 2014 to 2018 in Tongxiang. Environmental Science and Management, 45, 179-183(2020).
[14] S S He, B T Zhao, Z Y Yu. Development and comparison of national ambient air quality standards in China. Environmental Monitoring in China, 30, 50-55(2014).
[15] F K Duan, K B He, X D Liu. Concentration characteristics and sources of organic acids in PM2.5 in Beijing. Acta Scientiae Circumstantiae, 29, 1139-1145(2009).
[16] Y Q Tong, Y Yin, L Qian et al. Analysis of the characteristics of hazy phenomena in Nanjing Area. China Environmental Science, 27, 584-588(2007).
[17] J L An, Y S Wang, B Zhu. Principal component and multiple regression analysis predicting ozone concentrations: Case study in summer in Beijing. Acta Scientiae Circumstantiae, 30, 1286-1294(2010).
[18] C Li, H B Li, D D Gao et al. Application of principal component analysis in the evaluation of urban atmospheric environment quality. Journal of Hubei University (Natural Science), 38, 567-571(2016).