甘肃省区域颗粒物时空分布特征及传输路径

郭春晔; 王颖; 刘灏; 刘扬; 王思潼; 李博

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中国环境科学 ›› 2021, Vol. 41 ›› Issue (9) : 3990-4000.

大气污染与控制

甘肃省区域颗粒物时空分布特征及传输路径

郭春晔^1,2, 王颖¹, 刘灏¹, 刘扬¹, 王思潼¹, 李博¹

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Spatial and temporal distribution characteristics and transport path analysis of regional particulate matter over Gansu Province

GUO Chun-ye^1,2, WANG Ying¹, LIU Hao¹, LIU Yang¹, WANG Si-tong¹, LI Bo¹

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摘要

基于甘肃省2018~2019年颗粒物质量浓度监测数据，分析了全省大气颗粒物浓度的时空变化及排放特征，并利用HYSPLIT后向轨迹模式研究了颗粒物传输路径.结果表明：颗粒物（PM₁₀和PM_2.5）空间分布呈现区域特征：PM₁₀浓度高值位于河西走廊地区，由北向南呈阶梯式递减；PM_2.5以陇中地区为高值中心，向南北两侧递减，陇南地区为全省颗粒物清洁区.不同地区PM₁₀与PM_2.5地面浓度季节变化特征存在差异，陇中、陇东和陇南地区PM₁₀和PM_2.5浓度变化特征一致，陇中和陇东地区颗粒物（PM₁₀与PM_2.5）浓度冬高夏低，陇南地区则为冬高秋低；河西走廊PM₁₀和PM_2.5浓度季节变化不同，PM_2.5冬高夏低，PM₁₀春高夏低.后向轨迹聚类结果表明全省春季、冬季均受到来自中亚及新疆的偏西气流影响，该路径输送下可吸入颗粒物（PM₁₀）浓度明显高于其他路径，是典型的沙尘输送路径，4大分区受沙尘传输影响程度依次为河西 > 陇中 > 陇东 > 陇南，来自陕西、川渝的偏东路径是陇南地区颗粒物的主要输送路径，该路径下PM_2.5/PM₁₀比值大于0.5，明显高于偏西路径，说明偏东路径人为源污染贡献显著.研究结果有助于全面认识全省颗粒物污染特点、为分区制定颗粒物污染防治政策、以及区域污染协同治理提供科学的参考依据.

Abstract

Based on the monitoring data of particulate matter mass concentration, the spatial-temporal variation and emission characteristics of atmospheric particulate matter concentration were analyzed across the Gansu Province for the time period of 2018~2019, with a focus of the transport path of particulate matter using the HYSPLIT backward trajectory model. The results suggested that:Different spatial distribution of PM₁₀ and PM_2.5 were shown across the Gansu Province with a significant regional dependency. The peak value of PM₁₀ concentration was located at the Hexi Corridor area, with a strong step-decreasing from north to south. While, the high value center of PM_2.5 concentration was observed over Longzhong region, which experienced a extending decreasing to the north and south. Furthermore, Longnan region was identified as the noticeable clean area of particulate matter across the Gansu Province. Significant discrepancies were found in the seasonal variation of PM₁₀/PM_2.5 concentrations among different regions. The similar seasonal patterns of PM₁₀/PM_2.5 concentration were found over central Gansu, eastern Gansu and southern Gansu, with the concentration of PM₁₀ and PM_2.5 both peaking in winter (winter) but plunging in summer (autumn) at Longzhong and Longdong (Longnan). However, different seasonal variations of PM₁₀ and PM_2.5 concentrations were found over Hexi Corridor, where PM_2.5 was found to be experiencing high concentration in winter and low in summer, but high concentration of PM₁₀ was shown in spring and low in summer. The backward trajectory clustering results showed that the Gansu province was strongly governed by the west air current which come from central Asia and Xinjiang, especially in spring and winter time. This path is considered to be a typical dust transport pathway across the Gansu Province when considering the higher concentration of PM₁₀ than others, with which affecting. the four regions in the order of Hexi > Longzhong > Longdong > Longnan. The eastern path from Shanxi, Sichuan & Chongqing with PM_2.5/PM₁₀ ratio over 0.5which is significantly higher than the western one was deemed to be the dominant transmission path in Longnan area, which indicated that the contribution of man-made source pollution along the eastern path is significant. The results of this study can serve as a scientific reference for comprehensively understanding the characteristics of particulate pollution in the Gansu Province, formulating regional particulate pollution prevention and regional cooperative governance policies.

导出引用

郭春晔, 王颖, 刘灏, 刘扬, 王思潼, 李博. 甘肃省区域颗粒物时空分布特征及传输路径[J]. 中国环境科学. 2021, 41(9): 3990-4000

GUO Chun-ye, WANG Ying, LIU Hao, LIU Yang, WANG Si-tong, LI Bo. Spatial and temporal distribution characteristics and transport path analysis of regional particulate matter over Gansu Province[J]. China Environmental Science. 2021, 41(9): 3990-4000

中图分类号： X513

参考文献

[1] García M Á, Sánchez M L, de L R A, et al. Analysis of PM₁₀ and PM_2.5 concentrations in an urban atmosphere in Northern Spain[J]. Archives of Environmental Contamination and Toxicology, 2019,76(2):331-345.
[2] Ulla A H, Mette S, Camilla G, et al. Long-term residential exposure to PM_2.5, PM₁₀, black carbon, NO₂, and ozone and mortality in a Danish cohort[J]. Environment International, 2019,123:265-272.
[3] 刘凡,谭钦文,江霞,等.成都市冬季相对湿度对颗粒物浓度和大气能见度的影响[J]. 环境科学, 2018,39(4):1466-1472.Liu F, Tan X W, Jiang X, et al.Effect of relative humidity on particulate matter concentration and visibility during winter in Chengdu[J]. Environmental Science, 2018,39(4):1466-1472.
[4] 赵晨曦,王云琦,王玉杰,等.北京地区冬春PM_2.5和PM₁₀污染水平时空分布及其与气象条件的关系[J]. 环境科学, 2014,35(2):418-427.Zhao C X, Wang Y Q, Wang Y J, et al. Temporal and spatial distribution of PM_2.5 and PM₁₀ pollution status and the correlation of particulate matters and meteorological factors during winter and spring in Beijing[J]. Environmental Science, 2014,35(2):418-427.
[5] 查慧敏.河北省PM_2.5/PM₁₀比值时空分布及影响因素分析[D]. 石家庄:河北师范大学, 2020.Cha H M. Analysis on the Spatial and temporal of PM_2.5/PM₁₀ ratio and its influencing factors in Hebei Province[D]. Shijiazhuang:Hebei Normal University, 2020.
[6] 徐楠,王甜甜,李晓,等.北京冬季PM_2.5中有机气溶胶的化学特征和来源解析[J]. 环境科学, 2021,42(5):2101-2109.Xu N, Wang T T, Li X, et al. Chemical characteristics and source apportionment of organic aerosols in atmospheric PM_2.5 in winter in Beijing[J]. Environmental Science, 2021,42(5):2101-2109.
[7] Wang Y Q, Zhang X Y, Arimoto R, et al. The transport pathways and sources of PM₁₀ pollution in Beijing during spring 2001, 2002 and 2003[J]. Geophysical Research Letters, 2004,31(14).
[8] 古金霞,陈泽鑫,李琳希,等.京津冀区域颗粒物污染特征研究[J]. 南开大学学报(自然科学版), 2020,53(5):26-32.Gu J X, hen Z X, Li L X, et al. The pollution characteristics of particulate matter in Beijing-Tianjin-Hebei region[J]. Journal of Nankai University (Natural Science edition), 2020,53(5):26-32.
[9] 王心培.长三角背景点大气颗粒物中水溶性无机离子污染特征、来源与形成机制[D]. 上海:华东师范大学, 2020.Wang X P. Chemical characteristics,sources and formation mechanisms of atmospheric water-soluble inorganic ions at a background site of Yangtze River Delta Region, China[D]. Shanghai:East China Normal University, 2020.
[10] 刘可可.合肥市重污染天气PM_2.5和PM₁₀组成特征及来源分析[D]. 合肥:中国科学技术大学, 2020.Liu K K. The characteristics and pollution source of PM_2.5 and PM₁₀ in heavy pollution weather in Hefei, China[D]. Hefei:University of Science and Technology of China, 2020.
[11] 王肖杰.珠三角地区不同粒径大气颗粒物对不同类型脑卒中死亡的急性效应及死亡负担研究[D]. 广州:广东药科大学, 2019.Wang X J. Particulate matter pollution of different particle sizes and stroke mortality:estimating the associations and attributable risk in the Pearl River Delta Region[D]. Guangzhou:Guangdong Pharmaceutical University, 2019.
[12] 张夏夏.基于长时段多站点组分监测的珠三角颗粒物来源解析研究[D]. 广州:华南理工大学, 2018.Zhang X X. Source apportionment based on long-term PM compositional monitoring at multiple stations over the Pearl River Delta[D]. Guangzhou:South China University of Technology, 2018.
[13] 赖安琪,陈晓阳,刘一鸣,等.珠江三角洲PM_2.5和O₃复合污染过程的数值模拟[J]. 中国环境科学, 2017,37(11):4022-4031.Lai A Q, Chen X Y, Liu Y M, et al. Numerical simulation of a complex pollution episode with high concentrations of PM_2.5 and O₃ over the Pearl River Delta region, China[J]. China Environmental Science, 2017,37(11):4022-4031.
[14] 贾晓鹏,王海兵.甘肃河西地区大气沙尘成分及影响分析[J]. 中国沙漠, 2009,29(1):156-161.Jia X P, Wang H B. Analysis of atmospheric dust composition and its influence in Hexi Corridor, Gansu[J]. Journal of Desert Resaerch, 2009,29(1):156-161.
[15] 王芳.兰州市大气颗粒物及其化学组分污染特征和成因研究[D]. 兰州:兰州大学, 2014.Wang F. Pollution characteristics and formation causes of atmospheric particles and its chemical components in Lanzhou city[D]. Lanzhou:Lanzhou University, 2014.
[16] 王芳龙.天水市主要大气污染物特征研究[D]. 兰州:西北师范大学, 2020.Wang F L. Characteristics of main air pollutants in Tianshui[D]. Lanzhou:Northwest Normal University, 2020.
[17] 蒙晓瑞.酒泉市大气颗粒物PM₁₀、PM_2.5中无机元素污染特征研究和来源解析[D]. 兰州:兰州交通大学, 2020.Meng X R. Pollution characteristics and source analysis of inorganic elements in atmospheric PM₁₀ and PM_2.5 in Jiuquan city[D]. Lanzhou:Lanzhou Jiaotong University, 2020.
[18] 常毅,刘得守,刘文君.兰州城市大气中PM₁₀污染特征研究[J]. 中国环境监测, 2020,36(4):45-52.Chang Y, Liu D S, Liu W J. Study on the pollution characteristics of PM₁₀ in Lanzhou City[J]. Environmental Monitoring in China, 2020,36(4):45-52
[19] 赵留元,李子璇,吕沛诚等.基于SPAMS的兰州市2018年冬季沙尘天气过程细颗粒物污染特征及来源研究[J]. 环境科学学报, 2020, 40(2):388-400.Zhao L Y, Li Z X, Lü P C, et al. Pollution characteristics and sources of atmospheric fine particulates during the period of 2018, winter dust weather in Lanzhou City based on SPAMS technology[J]. Acta Scientiae Circumstantiae, 2020,40(2):388-400.
[20] 贾维平,李斌,刘兴鹏,等.2013~2017年武威市大气颗粒物浓度时空变化研究[J]. 甘肃科技, 2018,34(24):29-34.Jia W P, Li B, Liu X P, et al. Spatio-temporal variation of atmospheric particulate matter concentration in Wuwei City from 2013 to 2017[J]. Gansu Science and Technology, 2018,34(24):29-34.
[21] 王亚领.甘肃省2016年夏季大气首要污染物PM₁₀的空间分析[D]. 兰州:兰州大学, 2017.Wang Y L. Spatial analyis of PM₁₀, the primary pollutant of atmosphere in Gansu province in the summer of 2016[D]. Lanzhou:Lanzhou University, 2017.
[22] 胡良柏.基于GIS的甘肃省城市PM_2.5的时空分布特征研究[J]. 环境保护科学, 2019,45(1):79-83.Hu L B. The temporal and spatial distribution of PM_2.5 in the urban of Gansu province based on GIS technology[J]. Environmental Protection Science, 2019,45(1):79-83.
[23] Nelson L. S. Future directions of meteorology related to air-quality research[J]. Environment International, 2003,29(2):245-252.
[24] Pateraki S, Asimakopoulos D N, Flocas H A, et al. The role of meteorology on different sized aerosol fractions (PM₁₀, PM_2.5, PM_2.5_-10)[J]. Science of The Total Environment, 2012,419:124-135.
[25] Kok Jasper F, Parteli Eric J R, Michaels Timothy I,et al. The physics of wind-blown sand and dust[J]. Reports on progress in physics. Physical Society (Great Britain), 2012,75(10):106-901.
[26] Huang R J, Zhang Y L, Bozzetti K, et al. High secondary aerosol contribution to particulate pollution during haze events in China[J]. Nature:International weekly journal of science, 2014,514(7521):218-222.
[27] Lm A, Ling J A, Jl B, et al. PM_2.5 in the Yangtze River Delta, China:Chemical compositions, seasonal variations, and regional pollution events[J]. Environmental Pollution, 2017,223:200-212.
[28] Xie Y Z, Liu Z R, Wen T J, et al. Characteristics of chemical composition and asonal variations of PM_2.5 in Shi jia zhuang, China:Impact of primary emissions and secondary formation Science of the Total Environment[J]. Ecology Environment & Conservation, 2019,677:215-229.
[29] Zhang X Y, Arimoto R, Zhu G H, et al. Concentration, size-distribution and deposition of mineral aerosol over Chinese desert regions[J]. Tellus B, 1998,50(4):317-330.
[30] Filonchyk M, Yan H, Yang S, et al. A study of PM_2.5 and PM₁₀ concentrations in the atmosphere of large cities in Gansu Province, China, in summer period[J]. Journal of Earth System Science, 2016, 125(6):1-13.
[31] Sumesh R K, Rajeevan K, Resmi E A, et al. Particulate Matter Concentrations in the Southern Tip of India:Temporal Variation, Meteorological Influences, and Source Identification[J]. Earth Systems & Environment, 2017,1(2):13.
[32] Chai F H, Gao J, Chen Z X, et al. Spatial and temporal variation of particulate matter and gaseous pollutants in 26cities in China[J]. Journal of Environmental Sciences, 2014,26(1):75-82.
[33] 蔡惠文,吴序鹏.常州地区PM₁₀和PM_2.5质量浓度的变化特征[C]//中国环境科学学会.2013中国环境科学学会学术年会论文集(第五卷).中国环境科学学会:中国环境科学学会, 2013.Cai H W, Wu X P. Variation characteristics of PM₁₀ and PM_2.5 mass concentration in Changzhou region[C]//Chinese Society for Environmental Science.2013 Annual Conference proceedings of Chinese Society for Environmental Science (Vol.5). Chinese Society for Environmental Science:Chinese Society for Environmental Science, 2013.
[34] 马敏劲,杨秀梅,丁凡,等.中国南北方大气污染物的时空分布特征[J]. 环境科学与技术, 2018,41(5):187-197.Ma M J, Yang X M, Ding F, et al. Temporal and spatial distribution of atmospheric pollutants between Northern China and Southern China[J]. Environmental Science & Technology, 2018,41(5):187-197.
[35] Zhao S P, Yu Y, Yin D Y, et al. Spatial patterns and temporal variations of six criteria air pollutants during 2015 to 2017 in the city clusters of Sichuan Basin, China[J]. Science of the Total Environment, 2018, 624:540-557.
[36] 苏亚乔.甘肃中部地区人工增雨适宜条件分析[D]. 兰州:兰州大学, 2019.Su Y Q. Suitable conditions for artificial precipitation enhancement in the central region of Gansu Province[D]. Lanzhou:Lanzhou University, 2019.
[37] Ramanathan V, Feng Y. Air Pollution, Greenhouse Gases and Climate Change:Global and Regional Perspectives[J]. Atmospheric Environment, 2009,43(1):37-50.
[38] Cao J J, Shen Z X, Chow J C, et al. Winter and summer PM_2.5 chemical compositions in fourteen Chinese cities[J]. Journal of the Air & Waste Management Association (1995), 2012,62(10):1214-26.
[39] Ma X Y, Jia H L, Sha T, et al. Spatial and seasonal characteristics of particulate matter and gaseous pollution in China:Implications for control policy[J]. Environmental Pollution, 2019,248:421-428.
[40] Borge R, Lumbreras J, Vardoulakis S, et al. Analysis of long-range transport influences on urban PM₁₀ using two-stage atmospheric trajectory clusters[J]. Atmospheric Environment, 2007,41(21):4434-4450.
[41] 刘灏,王颖,王思潼,等.基于HYSPLIT4模式的天水市颗粒物输送路径的研究[J]. 中国环境科学, 2021,41(8):3529-3538.Liu H, Wang Y, Wang S T, et al. Study on the transport path of particles in Tianshui City based on HYSPLIT4model[J]. China Environmental Science, 2021,41(8):3529-3538.
[42] Abdalmogith S S, Harrison R M. The use of trajectory cluster analysis to examine the long-range transport of secondary inorganic aerosol in the UK[J]. Atmospheric Environment, 2005,39(35):6686-6695.
[43] 邓萌杰,闫雨龙,胡冬梅,等.长治市沙尘天气污染特征及传输路径解析[J]. 中国环境科学, 2020,40(10):4275-4283.Deng M J, Yan Y L, Hu D M, et al. Analysis of dust weather pollution characteristics and transmission paths in Changzhi, China[J]. China Environmental Science, 2020,40(10):4275-4283.
[44] 赵燕华,张文娟,高庆先,等.中国的沙尘暴及其研究进展[C]//中国环境科学学会大气环境分会.大气环境科学技术研究进展第九届全国大气环境学术会议论文集, 2002:79-86.Zhao Y H, Zhang W J, Gao Q X, et al. Sandstorm in China and its research progress[C]//Atmospheric Environment Branch, Chinese Society for Environmental Sciences. Advances in atmospheric environmental science and technology. Proceedings of the ninth National Conference on Atmospheric Environment, 2002:79-86.