Quantitative assessment of air quality guarantee measures: take G20 Summit in Hangzhou as an example
-
摘要: 选择杭州G20峰会保障措施实施期间的2016年8月24日—9月6日及其前后各14 d,分别确定为保障措施实施期间、实施前期与实施后期,对保障区域内主要大气污染物浓度变化进行分析,利用WRF/SMOKE/CMAQ模型对4类污染源(工业源、电厂源、扬尘源和道路移动源)设置6种减排情景,模拟计算并分析PM2.5和O3浓度变化,以评估强化环保措施对空气质量改善的成效。结果表明:1)研究期间杭州市各项污染物浓度呈起伏波动状,保障措施实施期间大部分时段污染物浓度峰谷差值明显比前期和后期小;NO2平均浓度表现为保障措施实施后期>前期>期间,保障措施对NO2减排效果显著;O3浓度表现为保障措施实施期间远高于前期与后期。2)与2015年同期相比,2016年保障措施实施期间,NO2、SO2、PM2.5、CO和PM10浓度在核心区和严控区下降,降幅表现为核心区>严控区>管控区;2016年核心区NO2、PM2.5、CO和PM10浓度均低于2017年;2016年相较2015年和2017年同期空气质量较好,不同力度的管控措施对空气质量的影响有差异,O3浓度变化规律与其他污染物浓度变化呈负相关。3)模拟对4类污染源都实施保障措施,核心区与严控区较强的管控措施执行力度使PM2.5浓度下降,O3浓度升高。4)模拟结果显示,对工业源做管控措施,能有效降低核心区与严控区PM2.5和O3排放;对电厂源或扬尘源实行管控措施只能略微抑制核心区与管控区PM2.5和O3排放;对道路移动源做减排措施,核心区与严控区O3浓度升幅较大。
-
关键词:
- 杭州G20峰会 /
- 保障措施成效 /
- WRF/SMOKE/CMAQ模型
Abstract: From August 24 to September 6, 2016, and 14 days before and after the implementation period of the guarantee measures of G20 Summit in Hangzhou were selected as the earlier and the later stages of the implementation of the guarantee measures, and the concentration changes of the main air pollutants in the guarantee area were analyzed. The WRF/SMOKE/CMAQ model was used to set up six scenarios of emission reduction for four types of pollution sources (industrial source, power plant source, dust source and road mobile source), and PM2.5 and O3 concentration changes were analyzed to evaluate the effect of strengthening environmental protection measures on air quality improvement. The results showed that: 1)During the whole research period, the concentrations of pollutants in Hangzhou were in the form of a wave, and the difference between the peak and valley concentrations of pollutants in most periods of the implementation of the guarantee measures was significantly smaller than that in the earlier and later periods; the average concentration of NO2 was in the later period > the earlier period > the period of the implementation of the guarantee measures, and the effect of the guarantee measures on the emission reduction of NO2 was significant; the concentration of O3 in the period of the implementation of the guarantee measures was much higher than that in the earlier and later periods. 2)Compared with the same period in 2015, the concentrations of NO2, SO2, PM2.5, CO and PM10 in the core area and strict control area decreased during the implementation of the measures in 2016, with a decrease of core area > strict control area > control area; the concentrations of NO2, PM2.5, CO and PM10 in the core area in 2016 were lower than those in 2017; the air quality in 2016 was better than that in 2015 and 2017; the impact of different control measures on air quality was different, and the variation of O3 concentration was negatively correlated with the variation of other pollutants. 3)Four types of pollution sources were simulated to implement guarantee measures; the strong implementation of control measures in the core area and strict control area made PM2.5 concentration decrease and O3 concentration increase. 4)The simulation results showed that the control measures for industrial sources could effectively reduce PM2.5 and O3 emissions in the core area and strict control area; the control measures for power plant sources or dust sources could only slightly inhibit PM2.5 and O3 emissions in the core area and control area; the emission reduction measures for road mobile sources could significantly increase O3 concentration in the core area and strict control area. -
[1] JI D S, GAO W K, ZHANG J K, et al. Investigating the evolution of summertime secondary atmospheric pollutants in urban Beijing[J]. Science of the Total Environment, 2016,572:289-300. [2] 李莉, 陈长虹, 黄成, 等. 长江三角洲地区大气O3和PM10的区域污染特征模拟[J]. 环境科学, 2008,29(1):237-245.LI L, CHEN C H, HUANG C, et al. Regional air pollution characteristics simulation of O3 and PM10 over Yangtze River Delta region[J]. Environmental Science, 2008,29(1):237-245. [3] ZHENG J Y, HE M, SHEN X L, et al. High resolution of black carbon and organic carbon emissions in the Pearl River Delta region,China[J]. Science of the Total Environment, 2012,438:189-200. [4] CHUDZIK R, PAWEŁ R, JAROSZ-CHUDZIK K, et al. Air pollution:how many cigarettes does each Pole’ smoke’ every year and how does it influence health,with special respect to lung cancer[J]. Annals of Agricultural and Environmental Medicine, 2019,26(4):566-571.
doi: 10.26444/aaem/109974 pmid: 31885229[5] BROITMAN D, PORTNOV B A. Forecasting health effects potentially associated with the relocation of a major air pollution source[J]. Environmental Research, 2020,182:109088.
pmid: 31901630[6] BAI L, HE Z J, LI C H, et al. Investigation of yearly indoor/outdoor PM2.5 levels in the perspectives of health impacts and air pollution control:case study in Changchun,in the northeast of China[J]. Sustainable Cities and Society, 2020,53:101871. [7] JONES B A, FLECK J. Shrinking lakes,air pollution,and human health:evidence from California’s Salton Sea[J]. Science of the Total Environment, 2020,712:136490. [8] WALTER W. Climate change,air pollution & health[J]. Explore, 2020,16(2):131-132.
doi: 10.1016/j.explore.2019.12.006 pmid: 32001223[9] WANG Y, HAO J, MCELROY M B, et al. Ozone air quality during the 2008 Beijing Olympics:effectiveness of emission restrictions[J]. Atmospheric Chemistry and Physics, 2009,9(14):5237-5251. [10] WANG X, WESTERDAHL D, CHEN L C, et al. Evaluating the air quality impacts of the 2008 Beijing Olympic Games:on-road emission factors and black carbon profiles[J]. Atmospheric Environment, 2009,43(30):4535-4543. [11] ZHANG X Y, WANG Y Q, LIN W L, et al. Changes of atmospheric composition and optical properties over Beijing-2008 Olympic monitoring campaign[J]. Bulletin of the American Meteorological Society, 2009,90(11):1633-1651. [12] LI S W, LI H B, LUO J, et al. Influence of pollution control on lead inalhalation bioaccessibility in PM2.5:a case study of 2014 Youth Olympic Games in Nanjing[J]. Environment International, 2016,94:69-75.
doi: 10.1016/j.envint.2016.05.010 pmid: 27209002[13] MIETTINEN M, LESKINEN A, ABBASZADE G, et al. PM2.5 concentration and composition in the urban air of Nanjing,China:effects of emission control measures applied during the 2014 Youth Olympic Games[J]. Science of the Total Environment, 2018,652:1-18.
doi: 10.1016/j.scitotenv.2018.10.191[14] GUO Z B, SHI L, CHEN S L, et al. Sulfur isotopic fractionation and source appointment of PM2.5 in Nanjing region around the second session of the Youth Olympic Games[J]. Atmospheric Research, 2016,174/175:9-17.
doi: 10.1016/j.atmosres.2016.01.011[15] WANG Y Q, ZHANG Y, SCHAUER J J, et al. Relative impact of emissions controls and meteorology on air pollution mitigation associated with the Asia-Pacific Economic Cooperation (APEC) conference in Beijing,China[J]. Science of the Total Environment, 2016,571:1467-1476.
doi: 10.1016/j.scitotenv.2016.06.215[16] BRIMBLECOMBE P, ZONG H X. Citizen perception of APEC blue and air pollution management[J]. Atmospheric Environment, 2019,214:116853.
doi: 10.1016/j.atmosenv.2019.116853[17] 李颖若, 汪君霞, 韩婷婷, 等. 利用多元线性回归方法评估气象条件和控制措施对APEC期间北京空气质量的影响[J]. 环境科学, 2019,40(3):1024-1034.LI Y R, WANG J X, HAN T T, et al. Using multiple linear regression method to evaluate the impact of meteorological conditions and control measures on air quality in Beijing during APEC 2014[J]. Environmental Science, 2019,40(3):1024-1034. [18] 李文涛, 高庆先, 刘俊蓉, 等. APEC期间北京空气质量改善对比分析[J]. 环境科学, 2015,36(12):4340-4347.LI W T, GAO Q X, LIU J R, et al. Comparative analysis on the improvement of air quality in Beijing during APEC[J]. Environmental Science, 2015,36(12):4340-4347. [19] 康志明, 桂海林, 王继康, 等. 2015年北京“阅兵蓝”特征及成因探讨[J]. 中国环境科学, 2016,36(11):3227-3236.KANG Z M, GUI H L, WANG J K, et al. Characteristics and cause of the “parade blue” in Beijing 2015[J]. China Environmental Science, 2016,36(11):3227-3236. [20] ZHOU L H, ZHANG X Y, ZHANG J, et al. A case study of air quality control in Beijing and the surrounding area during the 2015 World Championships and Parade[J]. Atmospheric and Oceanic Science Letters, 2017,10(3):252-260. [21] XUE Y F, WANG Y, LI X F, et al. Multi-dimension apportionment of clean air “parade blue” phenomenon in Beijing[J]. Journal of Environmental Sciences, 2018,65(3):29-42. [22] 杨琳, 杨红龙, 林楚雄, 等. 从大运会期间浓度变化来分析污染物削减措施效果[J]. 中国环境监测, 2014,30(4):82-88.YANG L, YANG H L, LIN C X, et al. Analysis of pollutant concentrations variation and reduction measures effectiveness during 2011 Shenzhen Universiade[J]. China Environmental Monitoring, 2014,30(4):82-88. [23] 应方, 来勇, 江斌焕, 等. 杭州市G20峰会保障期间PM2.5和O3污染特征与区域传输影响研究[J]. 环境污染与防治, 2019,41(8):965-968.YING F, LAI Y, JIANG B H, et al. The influence of regional transport on PM2.5 and O3 pollution during the G20 summit security period in Hangzhou and their pollution characteristics[J]. Environmental Pollution & Control, 2019,41(8):965-968. [24] LI H W, WANG D F, CUI L, et al. Characteristics of atmospheric PM2.5 composition during the implementation of stringent pollution control measures in shanghai for the 2016 G20 summit[J]. Science of the Total Environment, 2019,648:1121-1129. [25] ZHANG Y R, HONG Z Y, CHEN J S, et al. Impact of control measures and typhoon weather on characteristics and formation of PM2.5 during the 2016 G20 Summit in China[J]. Atmospheric Environment, 2020,224:117312. [26] 毛敏娟, 胡德云. 杭州G20峰会空气污染控制状况评估[J]. 环境科学研究, 2017,30(12):1822-1831.MAO M J, HU D Y. Evaluation of the air pollution control over Zhejiang Province during the G20 Summit in Hangzhou[J]. Research of Environmental Sciences, 2017,30(12):1822-1831. [27] 高庆先, 刘俊蓉, 王宁, 等. APEC期间北京及周边城市AQI区域特征及天气背景分析[J]. 环境科学, 2015,36(11):3952-3960.GAO Q X, LIU J R, WANG N, et al. Analysis on regional characteristics of air quality index and weather situation in Beijing and its surrounding cities during the APEC[J]. Environmental Science, 2015,36(11):3952-3960. [28] 陈敏, 马雷鸣, 魏海萍, 等. 气象条件对上海世博会期间空气质量影响[J]. 应用气象学报, 2013,24(2):140-150. [29] 环境保护部, 国家质量监督检验检疫总局. 环境空气质量标准:GB 3095—2012[S]. 北京: 中国环境科学出版社, 2012. [30] 赵军平, 罗玲, 郑亦佳, 等. G20峰会期间杭州地区空气质量特征及气象条件分析[J]. 环境科学学报, 2017,37(10):3885-3893.ZHAO J P, LUO L, ZHENG Y J, et al. Analysis on air quality characteristics and meteorological conditions in Hangzhou during the G20 Summit[J]. Acta Scientiae Circumstantiae, 2017,37(10):3885-3893. [31] 毛敏娟, 刘厚通, 杜荣光. 不同时间尺度下杭州市O3污染特征及控制因素[J]. 环境科学研究, 2019,32(11):1844-1851.MAO M J, LIU H T, DU R G. Characteristics and control factors of ozone pollution at different time scales in Hangzhou City[J]. Research of Environmental Science, 2019,32(11):1844-1851.
点击查看大图
计量
- 文章访问数: 486
- HTML全文浏览量: 78
- PDF下载量: 63
- 被引次数: 0