Study on Optimal Control Strategy of PM2.5 in Wuhan, China
In this paper, we analyzed the correlation relationship among PM2.5 from other five Air Quality Indices (AQIs) based on the grey relational degree, and built a multivariate nonlinear regression equation model of PM2.5 and the five monitoring indexes. For the optimal control problem of PM2.5, we took the partial large Cauchy distribution of membership equation as satisfaction function. We established a nonlinear programming model with the goal of maximum performance to price ratio. And the optimal control scheme is given.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1126583Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1224
 D. H. Xia, B. F. Jiang, Y. L. Xie. Modeling and analysis of PM2.5 generation for key factors identification in China (J). Atmospheric Environment, 2016, (134): 208-216.
 W. Q. Wang, Z. D. Niu. VAR model of PM2.5, weather and traffic in Los Angeles long beach area (C). 2009 International Conference on Environmental Science and Information Application Technology, 2009: 66–69.
 Y. Zhao, Y.A. Hasan, Machine learning algorithms for predicting roadside fine particulate matter concentration level in Hong Kong Central (J). Comput. Ecol. Softw. 2013, 3 (3): 61–73.
 Y. M. Hong, G. F. Zhou. Asymmetries in stock returns: statistical test and economic evaluation (J). Rev. Financ. Stud. 2007, (20): 1547-1581.
 S. L. Feng, D. Gao, et al. The healtheffectsofambientPM2.5 and potential mechanisms (J). Ecotoxicology and Environmental Safety. 2016, (128): 67-74.
 Eric Cokera, Jokay Ghoshb, et al. Modeling spatial effects of PM2.5 on term low birth weight in Los Angeles County (J). Environmental Research. 2015, (142): 354–364.
 Daisuke Goto, Kayo Ueda, et al. Estimation of excess mortality due to long-term exposure to PM2.5 in Japan using a high-resolution model for present and future scenarios (J). Atmospheric Environment. 2016, (140): 320-332.
 Harikishan Perugua, Heng Weia, Zhuo Yaoa. Integrated data-driven modeling to estimate PM2.5 pollution from heavy-duty truck transportation activity over metropolitan area (J). Transportation Research Part D: Transport and Environment. 2016, (46): 114–127.
 Environmental Protection Bureau of Whuhan city (EB). (2015-01-08). http://www.whepb.gov.cn.
 Han Zhonggeng. Mathematical modeling method and its application (M). 2005, Beijing: Beijing Higher Education.
 Weekly cycle of magnetic characteristics of the daily PM2.5 and PM2.5–10 in Beijing, China (J). Atmospheric Environment. 2014, (98): 357–367.