Spatial-temporal characteristics of the contributions to the particle pollution meteorological conditions in central and southern Beijing-Tianjin-Hebei (BTH) region
JIAO Ya-yin1, MENG Kai1, DU Hui-yun2, MA Zhi-chun1
1. Hebei Provincial Environmental Meteorological Center, Shijiazhuang 050021, China; 2. State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Abstract:In this study, environmental meteorology index (EMI) from model simulation of CMA (China Meteorological Administration) was used to analyze the spatial and temporal distribution characteristics of meteorological conditions variation during 2013~2018 in four key cities of central and southern Beijing-Tianjin-Hebei (BTH) region (Shijiazhuang, Xingtai, Handan and Hengshui). The results showed that, the correlation coefficient between EMI and the detrended PM2.5 concentration was up to 0.88. EMI had high reliability, and could be applied to atmospheric environment assessment and the meteorological condition evaluation during heavy polluted processes; the contributions of monthly meteorological condition to PM2.5 concentration variation during 2013~2018 were calculated by the quantitative analysis method based on EMI. The influence of meteorological conditions in months with different atmosphere pollution degrees could be effectively evaluated by quantitatively analyzing the monthly variations of meteorological conditions. In addition, the quantitative analysis method had been effectively applied in the evaluation of meteorological conditions and emission reduction effect on PM2.5 pollution during important events; According to the spatial distribution of meteorological conditions in winter, it was found that the regions with high positive EMI anomaly percentage concentration were those over central and southern BTH region in front of Taihang-Mountain, which indicated that severe weather conditions were the important reasons for the serious PM2.5 pollution in central and southern BTH region, in addition to the high anthropogenic emissions.
焦亚音, 孟凯, 杜惠云, 马志淳. 京津冀中南部污染气象贡献的时空变化特征[J]. 中国环境科学, 2021, 41(11): 4982-4989.
JIAO Ya-yin, MENG Kai, DU Hui-yun, MA Zhi-chun. Spatial-temporal characteristics of the contributions to the particle pollution meteorological conditions in central and southern Beijing-Tianjin-Hebei (BTH) region. CHINA ENVIRONMENTAL SCIENCECE, 2021, 41(11): 4982-4989.
Zhu W, Xu X, Zheng J, et al. The characteristics of abnormal wintertime pollution events in the Jing-Jin-Ji region and its relationships with meteorological factors[J]. Science of The Total Environment, 2018,626:887-898.
[2]
Kang H, Zhu B, Gao J, et al. Potential impacts of cold frontal passage on air quality over the Yangtze River Delta, China[J]. Atmos. Chem. Phys., 2019,19:3673-3685.
[3]
Chen S, Jiang N, Huang J, et al. Estimations of indirect and direct anthropogenic dust emission at the global scale[J]. Atmospheric environment, 2019,200:50-60.
[4]
陈颢元,王晓琦,程水源,等.京津冀和长三角地区一次重霾过程气象成因及传输特征[J]. 中国环境科学, 2021,41(6):2481-2492.Chen H Y, Wang X Q,Cheng S Y, et al. Analysis of meteorological causes and transmission characteristics of a heavy haze process in Beijing Tianjin Hebei and Yangtze River Delta[J]. China Environmental Science, 2021,41(6):2481-2492.
[5]
尹晓梅,李梓铭,乔林,等.北京冬季疫情期间空气质量及气象影响分析[J]. 中国环境科学, 2021,41(5):1985-1994.Yin X M, Li Z M, Qiao L, et al. Effect analysis of meteorological conditions on air quality during the winter COVID-19 lockdown in Beijing. China Environmental Science, 2021,41(5):1985-1994.
[6]
Zhang X, Xu X, Ding Y, et al. The impact of meteorological changes from 2013 to 2017 on PM2.5 mass reduction in key regions in China. Sci. China Earth Sci., 2019,62:1885-1902.
[7]
Sun J, Liang M, Shi Z, et al. Investigating the PM2.5 mass concentration growth processes during 2013~2016 in Beijing and Shanghai[J]. Chemosphere, 2019,221:452-463.
[8]
江琪,王飞,张恒德,等.北京市PM2.5和反应性气体浓度的变化特征及其与气象条件的关系[J]. 中国环境科学, 2017,37(3):829-837.Jiang Q, Wang F, Zhang H D, et al. Analysis of temporal variation characteristics and meteorological conditions of reactive gas and PM2.5 in Beijing[J]. China Environmental Science, 2017,37(3):829-837.
[9]
吕梦瑶,张恒德,王继康,等.2015年冬季京津冀两次重污染天气过程气象成因[J]. 中国环境科学, 2019,39(7):2748-2757.LÜ M Y, Zhang H D, Wang J K, et al. Analysis of meteorological causes of two heavily polluted weather processes in Beijing-Tianjin-Hebei Region in winter of 2015[J]. China Environmental Science, 2019,39(7):2748-2757.
[10]
Sun Y, Niu T, He J K, et al. Classification of circulation patterns during the formation and dissipation of continuous pollution weather over the Sichuan Basin, China[J]. Atmospheric Environment, 2019, 117244.
[11]
张莹,王式功,贾旭伟,等.华北地区冬半年空气污染天气客观分型研究[J]. 环境科学学报, 2018,38(10):43-50.Zhang Y, Wang S G, Jia X W, et al. Study on an objective synoptic typing method for air pollution weather in north China during winter half year[J]. Acta Scientiae Circumstantiae, 2018,38(10):43-50.
[12]
Allwine K J, Whiteman C D, Single-station integral measures of atmosphere Stagnation, recirculation and ventilation[J]. Atmospheric Environment, 1994,28(4):713-721.
[13]
廖碧婷,吴兑,陈静,等.灰霾天气变化特征及垂直交换系数的预报应用[J]. 热带气象学报, 2012,28(3):417-424.Liao B T, Wu D, Chen J, et al. Astudy of the variation trends of haze and application of the vertical exchange coefficient[J]. Journal of Tropical Meteorology, 2012,28(3):417-424.
[14]
张恒德,吕梦瑶,张碧辉,等.2014年2月下旬京津冀持续重污染过程的静稳天气及传输条件分析[J]. 环境科学学报, 2016,36(12):4340-4351.Zhang H D, Lu M Y, Zhang B H, et al. Analysis of the stagnant meteorological situation and the transmission condition of continuous heavy pollution course from February 20 to 26, 2014 in Beijing-Tianjin-Hebei[J]. Acta Scientiae Circumstantiae, 2016,36(12):4340-4351.
[15]
张恒德,张碧辉,吕梦瑶,等.北京地区静稳天气综合指数的初步构建及其在环境气象中的应用[J]. 气象, 2017,43(8):998-1004.Zhang H D, Zhang B H, LÜ M Y, et al. Development and application of stable weather index of Beijing in environment metrorology[J]. Meteorological Monthly, 2017,43(8):998-1004.
[16]
朱蓉,张存杰,梅梅.大气自净能力指数的气候特征与应用研究[J]. 中国环境科学, 2018,38(10):3601-3610.Zhu R, Zhang C J, Mei M. The climate characteristics of atmospheric self-cleaning ability index and its application in China[J]. China Environmental Science, 2018,38(10):3601-3610.
[17]
刘洪利,龚山陵,何建军,等.环境气象评估指数EMI原理及应用[Z]. 第35届中国气象学会年会, 2018.Liu H L, Gong S L, He J J, et al. The theory and application of evaluation on meteorological condition index for air pollution[Z]. The 35th Annual Meeting of China Meteorological Society, 2018.
[18]
李雪,黄选瑞,张先亮.不同去趋势方法对树轮气候信号识别的影响.生态学报, 2021,41(5):1970-1978.Li X, Huang X R, Zhang X L. Influences of different detrending methods on identifying the climate signals from tree-ring analysis[J]. Acta Ecologica Sinica, 2021,41(5):1970-1978.
[19]
周孝煌,郑彦佳,徐琳,等.基于去趋势分析的中国温带旱柳开花始期对气候变暖的响应[J]. 中国农业气象, 2018,39(9):559-566.Zhou X H, Zheng Y J, Xu L, et al. Detrending time series improves the response of salix matsudana's flowering to climate in China's temperate zone[J]. Chinese Journal of Agrometeorology, 2018,39(9):559-566.
[20]
王婷.青藏高原积雪对陆面过程水热输送的影响研究[D]. 成都:成都信息工程大学, 2019.Wang T. Study on the effects of snow cover on hydrothermal transport in land surface processes over Qinghai-Tibetan Plateau[D]. Chengdu:Chengdu University of Information Technology, 2019.
[21]
QX/T 479-2019 PM2.5气象条件评估指数(EMI)[S].QX/T 479-2019 Evaluation on meteorological condition index of PM2.5 pollution[S].
[22]
Gong S, Liu H, Zhang B, et al. Assessment of meteorology vs. control measures in the China fine particular matter trend from 2013 to 2019 by an environmental meteorology index[J]. Atmospheric Chemistry and Physics, 2021,21(4):2999-3013.
[23]
梅梅,徐大海,朱蓉,等.基于城市大气环境荷载指数的大气污染排放变率估算[J]. 中国环境科学, 2020,40(2):465-474.Mei M, Xu D H, Zhu R, et al. Quantitative estimation of air pollutant emission rate based on urban atmospheric load index[J]. China Environmental Science, 2020,40(2):465-474.
[24]
贾佳,郭秀锐,程水源.APEC期间北京市PM2.5特征模拟分析及污染控制措施评估[J]. 中国环境科学, 2016,36(8):2337-2346.Jia J, Guo X R, Cheng S Y. Numerical study on the characteristics of PM2.5 in Beijing and the assessment of pollution control measures during APEC[J]. China Environmental Science, 2016,36(8):2337-2346.
[25]
Zhang Y, Wang J,Yang Y, et al. Contribution distinguish between emission reduction and meteorological conditions to "Blue Sky"[J]. Atmospheric Environment, 2018,190(OCT.):209-217.
[26]
曹天慧,王哲,张晶,等."9·3"阅兵期间协同减排措施对北京市大气PM2.5质量浓度及其来源影响的数值模拟[J]. 北京师范大学学报(自然科学版), 2017,53(2):201-207.Cao T H, Wang Z, Zhang J, et al. Impact of coordinated emission controls on concentrations and sources of PM2.5 in Beijing during "9·3" military parade:a numerical model[J]. Journal of Beijing Normal University (Natural Science), 2017,53(2):201-207.
[27]
Xu X, Zhao T, Liu F, et al. Climate modulation of the Tibetan Plateau on haze in China[J]. Atmospheric Chemistry & Physics Discussions, 2015,15(3):28915-28937.
[28]
Zhu W, Xu X, Zheng J, et al. The characteristics of abnormal wintertime pollution events in the Jing-Jin-Ji region and its relationships with meteorological factors[J]. Science of The Total Environment, 2018,626:887-898.
[29]
Meng K, Xu X, Xu X, et al. The causes of "vulnerable regions" to air pollution in winter in the Beijing-Tianjin-Hebei region:a topographic-meteorological impact model based on adaptive emission constraint technique. Atmosphere, 2019,10(11):719.