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  • ISSN 1000-694X
  • 双月刊 创刊于1981年
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喀什地区PM10输送路径及潜在源区

  • 李汉林 ,
  • 何清 ,
  • 赵权威
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  • 1.中国气象局乌鲁木齐沙漠气象研究所,新疆 乌鲁木齐 830002
    2.新疆维吾尔自治区气象服务中心,新疆 乌鲁木齐 830002
何清(E-mail: qinghe@idm.cn
李汉林(1994—),男,安徽宿州人,硕士研究生,主要从事大气污染防治研究。E-mail: lihanlin5016@163.com

收稿日期: 2021-04-07

  修回日期: 2021-05-12

  网络出版日期: 2021-09-23

基金资助

国家自然科学基金重点项目(42030612);第二次青藏高原综合科学考察子专题(2019QZKK010206)

Transport pathways and potential source regions of PM10 in Kashgar Xinjiang China

  • Hanlin Li ,
  • Qing He ,
  • Quanwei Zhao
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  • 1.Institute of Desert Meteorology,China Meteorological Administration,Urumqi 830002,China
    2.Xinjiang Meteorological Service Center,Urumqi 830002,China

Received date: 2021-04-07

  Revised date: 2021-05-12

  Online published: 2021-09-23

摘要

基于HYSPLIT模型和2019年9月至2020年8月喀什地区大气颗粒物逐时数据,利用聚类分析、潜在源贡献因子法(PSCF)和浓度权重轨迹法(CWT)分析喀什地区四季PM10传输路径与潜在源区,揭示研究期间喀什地区不同季节PM10的潜在源分布及其贡献水平。结果表明:喀什地区PM10、PM2.5年均值分别为237.3±268.3、89.3±82.3 μg·m-3,大气颗粒物以PM10为主;喀什地区气流输送路径主要来自中亚西风气流,其次是来自中国新疆南部;PM10秋季主要贡献源区分布在中亚部分地区以及中国新疆南部区域,贡献水平为250—450 μg·m-3;冬季主要贡献源区与秋季相似,贡献水平为150—300 μg·m-3;春季重点贡献源区主要分布在新疆南部塔克拉玛干沙漠区域,贡献水平为250—500 μg·m-3;夏季主要贡献源区与春季相似,贡献水平为150—250 μg·m-3。喀什地区重点防范应是塔克拉玛干沙漠沙尘气溶胶的影响,其次是中亚西风气流携带的大气颗粒物远距离输送。

本文引用格式

李汉林 , 何清 , 赵权威 . 喀什地区PM10输送路径及潜在源区[J]. 中国沙漠, 2021 , 41(5) : 62 -70 . DOI: 10.7522/j.issn.1000-694X.2021.00060

Abstract

Based on HYSPLIT model and hourly date of atmospheric particulate matters in Kashgar from September 2019 to August 2020, the main transport pathways and potential source regions of PM10 wereanalyzed by cluster analyses, potential source contribution function (PSCF) and concentration-weight trajectory (CWT), and revealed the potential source distributions and contribution levels of PM10 in different seasons in Kashgar during the study period. This study revealed that the annual mean concentrations of PM10 and PM2.5 were 237.3±268.3 and 89.3±82.3 μg·m-3, respectively, indicating that PM10 was the main particulate matters. The westerly airflows in Kashgar mainly came from the westerly airflows from Central Asia, followed by the southern Xinjiang of China. Furthermore, the potential source regions of PM10 were mainly located in some parts of Central Asia and southern Xinjiang of China in autumn, the contribution levels were 250-450 μg·m-3;The main contribution source areas in winter were similar to that in autumn, and the contribution levels were 150-300 μg·m-3; The main contribution source areas in winter were similar to that in autumn, and the contribution levels were 150-300 μg·m-3;In spring, the main contribution source areas were located in the Taklimakan Desert in southern Xinjiang, and the concentration contribution levels were 250-500 μg·m-3;The main contribution source areas in summer were similar to that in spring, and the contribution levels were 150-250 μg·m-3;The prevention and control focus were to prevent the impacts of dust aerosol of the Taklimakan Desert, and the second was on the long-rang transportation of atmospheric particulate matters carried by the westerly wind from Central Asia.

参考文献

1 Yao T T,Huang X F,He L Y,et al.High time resolution observation and statistical analysis of atmospheric light extinction properties and the chemical speciation of fine particulates[J].Science China Chemistry,2010,53(8):1801-1808.
2 胡元洁,蒋楠.沙尘天气对西安市环境空气质量的影响[J].中国沙漠,2020,40(6):53-60.
3 Luo H,Han Y,Lu C S,et al.Characteristics of surface solar radiation under different air pollution conditions over Nanjing,China:observation and simulation[J].Advances in Atmospheric Sciences,2019,36(10):1047-1059.
4 崔娟,王浩,刘杰,等.沙尘天气对榆林市环境空气质量的影响[J].中国沙漠,2021,41(2):59-66.
5 薛文博,付飞,王金南,等.中国PM2.5跨区域传输特征数值模拟研究[J].中国环境科学,2014,34(6):1361-1368.
6 Li D,Liu J,Zhang J,et al.Identification of long-range transport pathways and potential sources of PM2.5 and PM10 in Beijing from 2014 to 2015[J].Journal of Environmental Sciences-China,2017,56(6):214-229.
7 茹建波,王天河,李积明,等.东亚沙尘源区晴空和云上沙尘气溶胶特征[J].中国沙漠,2018,38(2):372-383.
8 王玉竹,闫浩文,王小平.新疆风沙灾害风险评估[J].中国沙漠,2020,40(6):13-21.
9 Yerramilli A,Dodla V B R,Challa V S,et al.An integrated WRF/HYSPLIT modeling approach for the assessment of PM2.5 source regions over the Mississippi Gulf Coast region[J].Air Quality,Atmosphere & Health,2012,5(4):401-412.
10 符传博,丹利,唐家翔,等.基于轨迹模式分析海口市大气污染的输送及潜在源区[J].环境科学学报,2020,40(1):36-42.
11 陈乃华,胡宝叶,杨玉香,等.基于后向轨迹的平潭大气污染输送来源研究[J].环境污染与防治,2019(8):14.
12 Han Y J,Holsen T M,Hopke P K.Estimation of source locations of total gaseous mercury measured in New York State using trajectory-based models[J].Atmospheric Environment,2007,41(28):6033-6047.
13 Zhao M,Huang Z,Qiao T,et al.Chemical characterization,the transport pathways and potential sources of PM2.5 in Shanghai:seasonal variations[J].Atmospheric Research,2015,158:66-78.
14 葛拥晓,阿力甫·那思尔,吉力力·阿不都外力,等.咸海地区粉尘气溶胶动态变化及潜在扩散特征[J].中国沙漠,2016,36(5):1374-1380.
15 Balentd H,Akkoyunlu B O,Arslan H,et al.The influence of meteorological conditions and atmospheric circulation types on PM10 levels in western Turkey[J].Environmental Monitoring and Assessment,2019,191(7):466.
16 段时光,姜楠,杨留明,等.郑州市冬季大气PM2.5传输路径和潜在源分析[J].环境科学,2019,40(1):86-93.
17 周茹,朱君.东南亚生物质燃烧输送影响我国西南气溶胶辐射特性研究[J].中国环境科学,2020,40(4):1429-1436.
18 李汉林,何清,刘新春,等.帕米尔高原东部PM10输送路径及潜在源分析[J].中国环境科学,2020,40(11):4660-4668.
19 羊兴,赵克明,闵月,等.2015年喀什市大气颗粒物的时空分布特征[J].沙漠与绿洲气象,2017,11(5):83-88.
20 魏兴,周金龙,乃尉华,等.新疆喀什三角洲地下水化学特征及演化规律[J].环境科学,2019,40(9):4042-4051.
21 环境空气质量标准:[S].
22 刘晓东,田良,张小曳.塔克拉玛干沙尘活动对下游大气PM10浓度的影响[J].中国环境科学,2004(5):17-21.
23 李红军,杨兴华,赵勇,等.塔里木盆地春季沙尘暴频次与大气环流的关系[J].中国沙漠,2012,32(4):1077-1081.
24 Mischke S,Zhang C J,Birgit P.Lake Balkhash (Kazakhstan):recent human impact and natural variability in the last 2900 years[J].Journal of Great Lakes Research,2020,46(2):267-276.
25 Alam K,Qureshi S,Blaschke T,et al.Monitoring spatio-temporal aerosol patterns over Pakistan based on MODIS,TOMS and MISR satellite data and a HYSPLIT model[J].Atmospheric Environment,2011,45(27):4641-4651.
26 Li H L,He Q,Liu X C.Identification of long-range transport pathways and potential source regions of PM2.5 and PM10 at Akedala Station,Central Asia[J].Atmosphere,2020,11(11):1183.
27 韩茜,魏文寿,刘明哲,等.气流输送对乌鲁木齐市PM10、PM2.5和PM1.0质量浓度的影响[J].中国沙漠,2013,33(1):223-230.
28 依再提古丽·外力,王明力,杨建军,等.2015-2018年乌鲁木齐市PM2.5及PM10时空分布特征[J].环境科学研究,2020,33(8):1749-1757.
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