PDF下载 分享
[1]周 聪,王维佳,苗红妍,等.成都平原经济区空气污染扩散气象条件变化特征分析[J].成都信息工程大学学报,2021,36(04):472-478.[doi:10.16836/j.cnki.jcuit.2021.04.018]
　ZHOU Cong,WANG Weijia,MIAO Hongyan,et al.Analysis on Variation Characteristics of Meteorological Conditions of Air Pollution Diffusion in the Economic Zone of Chengdu Plain[J].Journal of Chengdu University of Information Technology,2021,36(04):472-478.[doi:10.16836/j.cnki.jcuit.2021.04.018]
点击复制

成都平原经济区空气污染扩散气象条件变化特征分析

成都信息工程大学学报[ISSN:1006-6977/CN:61-1281/TN] 卷: 36 期数: 2021年04期 页码: 472-478 栏目: 大气科学 出版日期: 2021-09-20
Title:
Analysis on Variation Characteristics of Meteorological Conditions of Air Pollution Diffusion in the Economic Zone of Chengdu Plain
文章编号:
2096-1618(2021)04-0472-07
作者:
周 聪1; 2;  王维佳1; 2;  苗红妍3;  孙 彧4
(1.成都市气象局,四川 成都 611133; 2.中国气象局云雾物理环境重点研究室,北京 100081; 3.中国气象局气象干部培训学院辽宁分院,辽宁 沈阳 110166; 4.四川省气象灾害防御技术中心,四川 成都 610072)
Author(s):
ZHOU Cong1; 2;  WANG Weijia1; 2;  MIAO Hongyan3;  SUN Yu4
(1.Chengdu Meteorological Bureau,Chengdu 611133,China; 2.Key Laboratory for Cloud Physics of China Meteorological Administration, Beijing 100081,China; 3.Meteorological Administration Training Center Liaoning Branch, Shenyang 110166,China; 4.Sichuan Meteorological Disaster Prevention Technology Center, Chengdu 610072,China)
关键词:
大气环境;  气象条件;  时空分布特征;  趋势检验
Keywords:
atmospheric environment;  meteorological conditions;  temporal and spatial variation characteristics;  trend test
分类号:
P421
DOI:
10.16836/j.cnki.jcuit.2021.04.018
文献标志码:
A
摘要:
为更好地分析成都平原经济区空气污染扩散气象条件的变化趋势,利用1981-2018年53个国家级地面气象台站观测资料,并主要采用非参数检验方法着重对降水量、风场等气象条件的时空分布特征进行讨论和分析。结果表明:1981-2018年,经济区内降水量与相对湿度具有相似的空间分布特征,且随时间的演变均表现出减少的变化趋势,其中夏季降水的显著下降是引起年累积降水量减少的重要原因; 近地面风场方面,除雅安西南部,其余地区的小风频次均表现出上升趋势,其中西北边缘地区的变化幅度较大。总体而言,1981-2018年区域内空气污染扩散气象条件是逐步转差的,尤其以中部地区的表现最为显著。
Abstract:
In order to better analyze the variation trends of meteorological conditions of air pollution diffusion in the Economic Zone of Chengdu Plain, observational data of 53 ground weather stations from 1981 to 2018 are used and the Mann Kendall trend test is mainly used to discuss and analyze the temporal and spatial variation characteristics of meteorological conditions such as rainfall, wind and so on. The results show that, from 1981 to 2018, the spatial distribution characteristics of cumulative annual precipitation amounts and daily average relative humidity were almost the same and they both showed downward trends, and the significant downward trend of summer precipitation is the important factor which leading to the decrease of cumulative annual precipitation. Moreover, in the aspect of near-surface wind-fields, excepting southwest of Ya’an, the frequencies of small wind show upward trends, and the magnitude of the upward trend in northwest marginal areas is more obvious. Overall, the meteorological conditions of air pollution diffusion in the Economic Zone of Chengdu Plain are becoming worse from 1981 to 2018, especially the situation of central region is of the most significant.

参考文献/References:

[1] 中国气象局.地面气象观测规范[M].北京:气象出版社,2003.
[2] 中国气象局.霾的观测与预报等级[M].北京:气象出版社,2010.
[3] 吴兑.霾与雾的区别和灰霾天气预警建议[J].广东气象,2004(4):1-4.
[4] 吴兑.关于霾与雾的区别和灰霾天气预警的讨论[J].气象,2005,31(4):3-7.
[5] 吴兑.再论都市霾与雾的区别[J].气象,2004,32(4):9-15.
[6] Zhang X Y,Wang Y Q,Niu T,et al.Atmospheric aerosol compositions in China,spatial temporal variability,chemical signature,regional haze distribution and comparisons with global aerosols[J].Atmospheric Chemistry and Physics Discussions,2011,11(9):26571-26615.
[7] 胡亚旦,周自江.中国霾天气的气候特征分析[J].气象,2009,35(7):73-78.
[8] 刘佳,马振峰,孙彧,等.1981-2014年四川不同强度霾时空特征及气候成因研究[J].环境科学学报,2016,36(12):4328-4339.
[9] 孙彧,马振峰,刘佳,等.不同判别方法下四川霾日的气候变化特征[J].环境科学学报,2016,36(11):3913-3921.
[10] 吴兑.灰霾天气的形成与演化[J].环境科学与技术,2011,34(3):157-161.
[11] 马小会,廖晓农,唐宜西,等.北京地区重空气污染天气分型及个例分析[J].气象与环境学报,2017,33(5):53-60.
[12] 王跃思,姚利,王莉莉,等.2013年元月我国中东部地区强霾污染成因分析[J].中国科学:地球科学,2014,44:15-26.
[13] 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.
[14] 陈镭,马井会,甄新蓉,等.上海地区空气污染变化特征及其气象影响因素[J].气象与环境学报,2017,33(3):59-67.
[15] Sun Y,Niu T,He J J,et al.Classification of circulation patterns during the formation and dissipation of continuous pollution weather over the Sichuan Basin,China [J].Atmospheric Environment,2020,223:117244.
[16] 付桂琴,张杏敏,尤凤春,等.气象条件对石家庄PM2.5浓度的影响分析[J].干旱气象,2016,34(2):349-355.
[17] 程念亮,李云婷,张大伟,等.2014年10月北京市4次典型空气重污染过程成因分析[J].环境科学研究,2015,28(2):163-170.
[18] 张小曳,孙俊英,王亚强,等.我国雾霾成因及其治理的思考[J].科学通报,2013,2013(13):18-27.
[19] 徐宗学,张楠.黄河流域近50年降水变化趋势分析[J].地理研究,2006,25(1):27-34.
[20] 马志刚.成都平原卵砾石层地震响应研究[D].成都:成都理工大学,2009.
[21] 宋明,韩素芹,张敏,等.天津大气能见度与相对湿度和PM10及PM2.5的关系[J].气象与环境学报,2013,29(2):34-41.
[22] 丁一汇,柳艳菊.近50年我国雾和霾的长期变化特征及其余大气湿度的关系[J].中国科学:地球科学,2014,44(1):37-48.
[23] 张夏琨,王春玲,王宝鉴.气象条件对石家庄空气质量的影响[J].干旱气象,2011,29(1):42-47.
[24] 王碧菡,廖婷婷,欧阳正午,等.2013-2017年成都冬季空气质量状况改善评估[J].环境科学学报,2019,39(11):3648-3658.

相似文献/References:

[1]鞠诗尧,张小玲,范广洲,等.北京地区一次持续重污染过程的气象成因分析[J].成都信息工程大学学报,2017,(04):419.[doi:10.16836/j.cnki.jcuit.2017.04.012]
　JU Shi-yao,ZHANG Xiao-ling,FAN Guang-zhou,et al.Analysis of Meteorological Conditions for a Continuous Heavy Pollution Process in Beijing[J].Journal of Chengdu University of Information Technology,2017,(04):419.[doi:10.16836/j.cnki.jcuit.2017.04.012]
[2]钟 垚,曾胜兰,宋雨润.四川盆地大气污染物质量浓度时空变化特征[J].成都信息工程大学学报,2023,38(01):107.[doi:10.16836/j.cnki.jcuit.2023.01.016]
　ZHONG Yao,ZENG Shenglan,SONG Yurun.Temporal and Spatial Variation Characteristics of Air Pollutant Mass Concentration in Sichuan Basin[J].Journal of Chengdu University of Information Technology,2023,38(04):107.[doi:10.16836/j.cnki.jcuit.2023.01.016]
[3]高楷祥,吕婷婷,张 洋,等.双流臭氧污染的气象条件特征分析[J].成都信息工程大学学报,2024,39(03):353.[doi:10.16836/j.cnki.jcuit.2024.03.013]
　GAO Kaixiang,LV Tingting,ZHANG Yang,et al.Analysis of Meteorological Conditions of Ozone Pollution in Shuangliu Area[J].Journal of Chengdu University of Information Technology,2024,39(04):353.[doi:10.16836/j.cnki.jcuit.2024.03.013]

备注/Memo

收稿日期:2020-08-28
基金项目:四川省科技计划资助项目(2019YJ0621); 中国气象局云雾物理环境重点开放实验室开放课题资助项目(2019Z01602); 四川省气象局青年基金课题资助项目(SCQXKJQN2019020)

更新日期/Last Update: 2021-09-20