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Research on the optimal decision method for precise management of regional air quality in China
TANG Xiangbo, CHEN Xiaohong
Systems Engineering - Theory & Practice ›› 2021, Vol. 41 ›› Issue (12) : 3199-3211.
PDF(1193 KB)
PDF(1193 KB)
Research on the optimal decision method for precise management of regional air quality in China
China's "Thirteenth Five-Year Plan" for ecological environmental protection clearly states that "focus on improving environmental quality, implement the target management of atmospheric environmental quality and planning of reaching quality standard within a definite time", and emphasizes environmental quality compliance planning by laws. This paper aims at the precise management of regional air quality, focusing on the research of optimal decision methods for air quality compliance management, and systematically studies the system, models and methods of air quality compliance management. A two-layer hierarchical optimization model based on stackelberg game theory is constructed. The research shows that the results of the optimization decision-making can not only come to the exact reduction amount of each area, each sector (industry), each pollutant under the regional optimal control scheme and the minimum emission reduction cost, but also clearly and precisely present the combination of pollution control technological measures of emission reduction for each area, each sector (industry) and each pollutant. This method can better guide the formulation and implementation of regional air quality standards management policies. The conclusions in this paper can provide technical support for the development of China's air quality improvement strategies, and provide practical guidance for municipal and regional air quality compliance management. This would help to achieve the comprehensive realization of scientific decision-making of air pollution control based on synergism of five elements including "economic development, environment quality, energy substitution, pollution control, cost saving". Finally, this study presents policy implications of development of detailed management initiatives align with regional air quality management requirements, such as strengthening regional top-level design, promoting data sharing, integrating industrial reality, combining short-term and long-term compliance planning. These implications will provide practical methods and paths for the precise management of regional air quality in China.
air quality / precise management / Stackelberg game / optimal decision method {{custom_keyword}} /
[1] 陈晓红, 徐戈, 冯项楠, 等. 公众对于"两型社会"建设的态度-意愿-行为分析[J]. 管理世界, 2016(12):90-101.Chen X H, Xu G, Feng X N, et al. An analysis of public attitude-intention-behavior regarding the development of resource-conserving and environment-friendly society[J]. Management World, 2016(12):90-101.
[2] West J J, Ansari A S, Pandis S N. Marginal PM2.5:Nonlinear aerosol mass response to sulfate reductions in the Eastern United States[J]. Journal of the Air & Waste Management Association, 1999, 49(12):1415-1424.
[3] Cohan D S, Hakami A, Hu Y, et al. Nonlinear response of ozone to emissions:Source apportionment and sensitivity analysis[J]. Environmental Science & Technology, 2005, 39(9):6739-6748.
[4] Megaritis A G, Fountoukis C, Charalampidis P E, et al. Response of fine particulate matter concentrations to changes of emissions and temperature in Europe[J]. Atmospheric Chemistry and Physics, 2013, 13(6):3423-3443.
[5] Lee C J, Martin R V, Henze D K. Response of global particulate-matter-related mortality to changes in local precursor emissions[J]. Environmental Science & Technology, 2015, 49(7):4335-4344.
[6] Pun B K, Seigneur C, Bailey E M, et al. Response of atmospheric particulate matter to changes in precursor emissions:A comparison of three air quality models[J]. Environmental Science & Technology, 2007, 42(3):831-837.
[7] 王占山,李晓倩,王宗爽,等. 空气质量模型CMAQ的国内外研究现状[J]. 环境科学与技术, 2013, 36(1):386-391. Wang Z S, Li X Q, Wang Z S, et al. Application status of models-3/CMAQ in environmental management[J]. Environmental Science & Technology, 2013, 36(1):386-391.
[8] Chemel C, Fisher B E A, Kong X, et al. Application of chemical transport model CMAQ to policy decisions regarding PM2.5 in the UK[J]. Atmospheric Environment, 2014, 82(1):410-417.
[9] Li X, Rappenglueck B. A WRF-CMAQ study on spring time vertical ozone structure in southeast texas[J]. Atmospheric Environment, 2014, 97(11):363-385.
[10] Xing J, Wang S, Zhao B, et al. Quantifying nonlinear multiregional contributions to ozone and fine particles using an updated response surface modeling technique[J]. Environmental Science & Technology, 2017, 51(20):11788-11798.
[11] Cai S, Wang Y, Zhao B, et al. The impact of the "Air Pollution Prevention and Control Action Plan" on PM2.5 concentrations in Jing-Jin-Ji region during 2012-2020[J]. Science of the Total Environment, 2017, 580:197-209.
[12] Tang X B, Chen X H, Tian Y. Chemical composition and source apportionment of PM2.5-A case study from one year continuous sampling in the Chang-Zhu-Tan urban agglomeration[J]. Atmospheric Pollution Research, 2017, 8(5):885-899.
[13] Wang S X, Xing J, Jang C, et al. Impact assessment of ammonia emissions on inorganic aerosols in east China using response surface modeling technique[J]. Environmental Science & Technology, 2011, 45(21):9293-9300.
[14] 李振亮, 薛文博, 陈敏, 等. 城市空气质量达标规划编制中的关键技术及其案例应用[J]. 中国环境管理, 2019, 11(2):80-86.Li Z L, Xue W B, Chen M, et al. Key technologies in urban air quality planning research and its application[J]. Chinese Journal of Environmental Management, 2019, 11(2):80-86.
[15] Wang K L, Yin H C, Chen Y W. The effect of environmental regulation on air quality:A study of new ambient air quality standards in China[J]. Journal of Cleaner Production, 2019, 215(4):268-279.
[16] 清洁空气创新中心. 城市空气质量达标规划编制手册[R]. ICCS, 2017.Innovation Center for Clean-air Solutions. Manual for the preparation of urban air quality standards[R]. ICCS, 2017.
[17] Mediavilla-Sahagún A, ApSimon H M. Urban scale integrated assessment of options to reduce PM10 in London towards attainment of air quality objectives[J]. Atmospheric Environment, 2003, 37(33):4651-4665.
[18] Saylor R D, Chameides W L, Chang M E. Demonstrating attainment in Atlanta using urban airshed model simulations:Impact of boundary conditions and alternative forms of the NAAQS[J]. Atmospheric Environment, 1999, 33(7):1057-1064.
[19] Zhang X, Fung J, Zhang Y, et al. Assessing PM2.5 emissions in 2020:The impacts of integrated emission control policies in China[J]. Environmental Pollution, 2020, 263:114575.
[20] Kumar A, Brandt J, Ketzel M, et al. Evaluation of the urban background model (UBM) and AERMOD for Mumbai city[J]. Environmental Modeling & Assessment, 2018(1):1-12.
[21] Thunis P, Degraeuwe B, Pisoni E, et al. PM2.5 source allocation in European cities:A SHERPA modelling study[J]. Atmospheric environment, 2018, 187(8):93-106.
[22] Wang H, Zhu Y, Jang C, et al. Design and demonstration of a next-generation air quality attainment assessment system for PM2.5 and O3[J]. Journal of Environmental Sciences, 2015, 29(3):178-188.
[23] Foley K M, Dolwick P, Hogrefe C, et al. Dynamic evaluation of CMAQ part II:Evaluation of relative response factor metrics for ozone attainment demonstrations[J]. Atmospheric Environment, 2015, 103(2):188-195.
[24] Kim Y, Fu J S, Miller T L. Improving ozone modeling in complex terrain at a fine grid resolution-Part II:Influence of schemes in MM5 on daily maximum 8-h ozone concentrations and RRFs for SIPs in the non-attainment areas[J]. Atmospheric Environment, 2018, 44(8):2116-2124.
[25] Box G, Wilson K. On the experimental attainment of optimum conditions[J]. Journal of the Royal Statistical Society, 1951, 13(1):1-45.
[26] Napelenok S L, Cohan D S, Hu Y, et al. Decoupled direct 3D sensitivity analysis for particulate matter (DDM-3D/PM)[J]. Atmospheric Environment, 2006, 40(32):6112-6121.
[27] Hakami A, Odman M T, Russell A G. High-order, direct sensitivity analysis of multidimensional air quality models[J]. Environmental Science & Technology, 2003, 37(11):2442-2452.
[28] Zhao B, Wang S X, Xing J, et al. Assessing the nonlinear response of fine particles to precursor emissions:Development and application of an extended response surface modeling technique V1.0[J]. Geoscientific Model Development, 2015(8):115-128.
[29] Zhao B, Wu W, Wang S, et al. A modeling study of the nonlinear response of fine particles to air pollutant emissions in the Beijing-Tianjin-Hebei region[J]. Atmospheric Chemistry and Physics, 2017, 17(19):12031-12050.
[30] Xing J, Wang S, Jang C, et al. ABaCAS:An overview of the air pollution control cost-benefit and attainment assessment system and its application in China[J]. Air & Waste Management Association's Magazine for Environmental Managers, 2017(4).
[31] Xing J, Ding D, Wang S, et al. Quantification of the enhanced effectiveness of NOx control from simultaneous reductions of VOC and NH3 for reducing air pollution in the Beijing-Tianjin-Hebei region, China[J]. Atmospheric Chemistry and Physics Discussions, 2018(1):1-27.
[32] Turnock S T, Wild O, Dentener F J, et al. The impact of future emission policies on tropospheric ozone using a parameterised approach[J]. Atmospheric Chemistry and Physics, 2018, 18(5):8953-8978.
[33] 劳苑雯, 朱云, Carey Jang, 等. 基于响应面模型的区域大气污染控制辅助决策工具研发[J]. 环境科学学报, 2012, 32(8):1913-1922.Lao Y W, Zhu Y, Carey J, et al. Research and development of regional air pollution control decision support tool based on response surface model[J]. Acta Scientiae Circumstantiae, 2012, 32(8):1913-1922.
[34] 龙世程. 多区域大气污染控制响应曲面模型的改进与应用[D]. 广州:华南理工大学, 2015.Long S C. Improvement and application of a multi-region air control and response modeling system[D]. Guangzhou:South China University of Technology, 2015.
[35] 宋国君, 何伟. 研究制定城市空气质量达标规划[J]. 环境经济, 2013(11):10-14.Song G J, He W. Study and formulate urban air quality standard planning[J]. Environmental Economy, 2013(11):10-14.
[36] 邢佳, 王书肖, 朱云. 大气污染防治综合科学决策支持平台的开发及应用[J]. 环境科学研究, 2019, 32(10):1713-1719.Xing J, Wang S X, Zhu Y. Development and application of the scientific decision support platform for air pollution prevention and control[J]. Research of Environmental Sciences, 2019, 32(10):1713-1719.
[37] Klimont Z, Winiwarter W. Integrated ammonia abatement-Modelling of emission control potentials and costs in GAINS[R]. Interim Report, IR-11-027, 2011.
[38] Oshiro K, Masui T, Kainuma M. Quantitative analysis of Japan's 2030 target based on AIM/CGE and AIM/enduse[M]. Springer, Singapore. 2017.
[39] 唐湘博, 陈晓红. 区域大气污染协同减排补偿机制研究[J]. 中国人口·资源与环境, 2017(9):76-82.Tang X B, Chen X H. Mechanism of regional atmospheric pollution collaborative reduction compensation[J]. China Population, Resources and Environment, 2017(9):76-82.
[40] 李莉, 徐健, 安静宇, 等. 长三角经济能源约束下的大气污染问题及对区域协作的启示[J]. 中国环境管理, 2017, 9(5):9-18.Li L, Xu J, An J Y, et al. The air pollution issues under the economic and energy constraint and their implications on the regional joint-effort in the Yangtze River Delta region[J]. Chinese Journal of Environmental Management, 2017, 9(5):9-18.
Basic Science Center Project for National Natural Science Foundation of China (72088101); National Natural Science Foundation of China (72174060); Integrated Project of the Major Research Plan of the National Natural Science Foundation of China (91846301); Natural Science Foundation of Hunan Province of China (2020JJ5103)
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