{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T13:10:22Z","timestamp":1777641022728,"version":"3.51.4"},"reference-count":23,"publisher":"Emerald","issue":"8","license":[{"start":{"date-parts":[[2014,8,26]],"date-time":"2014-08-26T00:00:00Z","timestamp":1409011200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,8,26]]},"abstract":"\n Purpose<\/jats:title>\n \u2013 The purpose of this paper is to build a support vector machine (SVM) model to evaluate the city air quality level, using the three main air pollutants selected as evaluation index. <\/jats:p>\n <\/jats:sec>\n \n Design\/methodology\/approach<\/jats:title>\n \u2013 PM10<\/jats:sub>, SO2<\/jats:sub>, NO2<\/jats:sub> are the most important three air pollutants and their concentration data are selected as the influencing factor. And the SVM model is build and used to evaluate the air quality level of 29 major cities in China 2011. The cross-validation is adopted to select optimal penalty parameters and optimal kernel function, and the classification accuracies achieved under different normalization methods and kernel functions are compared in the end. <\/jats:p>\n <\/jats:sec>\n \n Findings<\/jats:title>\n \u2013 The study found, the parameters and kernel functions chosen by the SVM model have influence on the model's prediction accuracy. Through continuous optimization of model parameters, finally it is found that the model performs better with [0, 1] normalization method and RBF kernel function. It proves that SVM classification model is effective in dealing with the problem of city air quality evaluation. <\/jats:p>\n <\/jats:sec>\n \n Practical implications<\/jats:title>\n \u2013 The result of this study shows that the SVM classification model can be well applied to predict the city air quality level by using air pollutants concentration data as evaluation index. It can help the government and relevant department issue corresponding environmental policy and environmental protection measures. <\/jats:p>\n <\/jats:sec>\n \n Originality\/value<\/jats:title>\n \u2013 The qualitative and quantitative study method are combined in this paper, on the basis of predecessors\u2019 research results, as well as careful analysis to select evaluation index. The SVM classification model build is simulated by using Matlab technique, beyond comparing the accuracy, its outcomes and its efficiency in classification are demonstrated.<\/jats:p>\n <\/jats:sec>","DOI":"10.1108\/k-07-2013-0146","type":"journal-article","created":{"date-parts":[[2014,10,3]],"date-time":"2014-10-03T11:46:53Z","timestamp":1412336813000},"page":"1224-1236","source":"Crossref","is-referenced-by-count":6,"title":["Research on the relationship between air quality and economy development in major cities of China"],"prefix":"10.1108","volume":"43","author":[{"given":"Xin","family":"Ma","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rubing","family":"Ge","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Li","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"key":"key2020122921581557900_b1","doi-asserted-by":"crossref","unstructured":"Ch, S.\n , \n Anand, N.\n and \n Panigrahi, B.K.\n (2013), \u201cStreamflow forecasting by SVM with quantum behaved particle swarm optimization\u201d, Neurocomputing, Vol. 101 No. 3, pp. 18-23.","DOI":"10.1016\/j.neucom.2012.07.017"},{"key":"key2020122921581557900_b2","doi-asserted-by":"crossref","unstructured":"Cristianini, N.\n (2000), An Introduction to Support Vector Machines, Cambridge University Press, Cambridge.","DOI":"10.1017\/CBO9780511801389"},{"key":"key2020122921581557900_b3","doi-asserted-by":"crossref","unstructured":"Cropper, M.L.\n and \n Simon, N.B.\n (1997), \u201cThe health effects of air pollution in Delhi\u201d, American Journal of Agricultural Economics, Vol. 79 No. 4, pp. 1625-1629.","DOI":"10.2307\/1244393"},{"key":"key2020122921581557900_b4","doi-asserted-by":"crossref","unstructured":"Guo, X.R.\n , \n Cheng, S.Y.\n , \n Chen, D.S.\n , \n Zhou, Y.\n and \n Wang, H.Y.\n (2010), \u201cEstimation of economic costs of particulate air pollution from road transport in China\u201d, Atmospheric Environment, Vol. 44 No. 28, pp. 3369-3377.","DOI":"10.1016\/j.atmosenv.2010.06.018"},{"key":"key2020122921581557900_b5","doi-asserted-by":"crossref","unstructured":"Krupa, S.V.\n , \n Manning, W.J.\n and \n Nosal, M.\n (1993), \u201cUse of tobacco cultivars as biological indicators of ambient ozone pollution: an analysis of exposure-response relationships\u201d, Environmental Pollution, Vol. 81 No. 2, pp. 137-146.","DOI":"10.1016\/0269-7491(93)90078-3"},{"key":"key2020122921581557900_b6","unstructured":"Ma, J.T.\n (2012), 2011 China statistical yearbook, China Statistics Press, Beijing."},{"key":"key2020122921581557900_b7","doi-asserted-by":"crossref","unstructured":"Pouteau, R.\n , \n Meyer, J.Y.\n and \n Stoll, B.\n (2011), \u201cA SVM-based model for predicting distribution of the invasive tree Miconia calvescens in tropical rainforests\u201d, Ecological Modeling, Vol. 222 No. 15, pp. 2631-2641.","DOI":"10.1016\/j.ecolmodel.2011.04.030"},{"key":"key2020122921581557900_b8","unstructured":"Shi, F.\n and \n Wang, X.H.\n (2010), Neural Network Analysis of 30 Cases, Beijing University of Aeronautics and Astronautics Press, Beijing."},{"key":"key2020122921581557900_b9","unstructured":"Shi, Z.Y.\n and \n Yuan, J.Y.\n (2006), \u201cApplication of several ANN models to air quality assessment environmental\u201d, Protection of Xinjiang, Vol. 28 No. 4, pp. 36-39."},{"key":"key2020122921581557900_b10","unstructured":"Tao, C.\n (2006), \u201cApplication of support vector machine to atmospheric pollution prediction\u201d, Meteorological Monthly, Vol. 32 No. 12, pp. 61-65."},{"key":"key2020122921581557900_b11","unstructured":"Wang, X.\n (2012), \u201cThe application of fuzzy comprehension evaluation method in air quality assessment\u201d, The Environmental Protection and Circular Economy, Vol. 17 No. 3, pp. 52-54."},{"key":"key2020122921581557900_b12","doi-asserted-by":"crossref","unstructured":"Wang, X.K.\n and \n Lu, W.Z.\n (2006a), \u201cSeasonal variation of air pollution index: Hong Kong case study\u201d, Chemosphere, Vol. 63 No. 8, pp. 1261-1272.","DOI":"10.1016\/j.chemosphere.2005.10.031"},{"key":"key2020122921581557900_b13","unstructured":"Wang, Z.T.\n and \n Yu, W.D.\n (2006b), \u201cStatistical forecasting methods for air quality of Shang Qiu city\u201d, Meteorological and Environmental Sciences, Vol. 6 No. 4, pp. 44-45."},{"key":"key2020122921581557900_b14","unstructured":"Wei, M.Q.\n (2005), \u201cEvaluation of urban air quality by fuzzy support vector machine method\u201d, Yunan Environmental Protection, Vol. 27 No. 6, pp 12-18."},{"key":"key2020122921581557900_b15","doi-asserted-by":"crossref","unstructured":"Xing, Z.W.\n and \n Zhang, H.\n (2012), \u201cAircraft icing type classification forecast based on support vector machine\u201d, Computer Technology and Development, Vol. 22 No. 3, pp. 247-250.","DOI":"10.1109\/WCICA.2012.6359339"},{"key":"key2020122921581557900_b16","unstructured":"Yang, Z.M.\n , \n Tian, Y.J.\n and \n Liu, G.L.\n (2006), \u201cFuzzy support vector machine method for city air quality assessment\u201d, Journal of China Agricultural University, Vol. 11 No. 5, pp. 92-97."},{"key":"key2020122921581557900_b17","unstructured":"Yao, Z.L.\n (1993), Environmental Hygiene, People's Medical Publishers, Beijing."},{"key":"key2020122921581557900_b18","unstructured":"Yin, Y.R.\n , \n Haimiti, Y.\n and \n Aimiwaer, M.\n (2007), \u201cThe atmospheric quality status research based on gray clustering method in Urumqi\u201d, Research of Soil and Water Conservation, Vol. 14 No. 6, pp. 139-141."},{"key":"key2020122921581557900_b20","unstructured":"Zhang, H.\n and \n Zeng, J.\n (2010), \u201cStudy on SVM forecast model for wind speed\u201d, Acta Energiae Solaris Sinica, Vol. 31 No. 7, pp. 928-932."},{"key":"key2020122921581557900_b19","unstructured":"Zhang, L.\n and \n Chen, X.H.\n (2006), \u201cStudy on SVM forecast model for water demand based on AGA\u201d, Journal of China Hydrology, Vol. 28 No. 6, pp. 38-46."},{"key":"key2020122921581557900_b21","unstructured":"Zhang, Y.H.\n , \n Ma, Y.J\n and \n Sun, C.T.\n (2010), \u201cApplication of grey clustering method for atmospheric environmental quality assessment in Shenyang economic zone environmental\u201d, Science & Technology, Vol. 33, pp. 426-428."},{"key":"key2020122921581557900_b22","unstructured":"Zhou, S.X.\n (2012), Environmental Air Quality Report Analysis of Key Environmental Protection Cities in 2011, China Environmental Science Press, Beijing."},{"key":"key2020122921581557900_b23","unstructured":"Zhou, S.X.\n (2013), The Ambient air Quality Standard (GB3095-2012), China Environmental Science Press, Beijing."}],"container-title":["Kybernetes"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.emeraldinsight.com\/doi\/full-xml\/10.1108\/K-07-2013-0146","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/K-07-2013-0146\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/K-07-2013-0146\/full\/html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T21:49:06Z","timestamp":1753393746000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.emerald.com\/k\/article\/43\/8\/1224-1236\/265273"}},"subtitle":[],"editor":[{"given":"Dr","family":"Mourad Oussalah and Professor Ali Hessami","sequence":"first","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2014,8,26]]},"references-count":23,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2014,8,26]]}},"alternative-id":["10.1108\/K-07-2013-0146"],"URL":"https:\/\/doi.org\/10.1108\/k-07-2013-0146","relation":{},"ISSN":["0368-492X"],"issn-type":[{"value":"0368-492X","type":"print"}],"subject":[],"published":{"date-parts":[[2014,8,26]]}}}