符传博:SPATIOTEMPORAL VARIATION OF NO2 AND SUB-REGIONAL TRANSPORT DURING WINTER POLLUTION EVENTS IN HAIKOU, CHINA论文

符传博:SPATIOTEMPORAL VARIATION OF NO2 AND SUB-REGIONAL TRANSPORT DURING WINTER POLLUTION EVENTS IN HAIKOU, CHINA论文

本文主要研究内容

作者符传博,丹利,唐家翔,杨薇(2019)在《SPATIOTEMPORAL VARIATION OF NO2 AND SUB-REGIONAL TRANSPORT DURING WINTER POLLUTION EVENTS IN HAIKOU, CHINA》一文中研究指出:An ensemble of satellite measurements, statistic data from government and meteorological diagnosis in regional background site(Haikou, China) has revealed the spatial and temporal characteristics of NO2 and associated synoptic transport patterns over southern China from January 2013 to February 2014. The result are as follows.(1)Ozone Monitoring Instrument(OMI) satellite products have a good correlation with observation NO2 in Haikou. The correlation coefficients between Observation NO2 and tropospheric column NO2 and ratio of Tro NO2/Tot NO2(tropospheric column NO2/total column NO2) have all passed the confidence level of 99.9% test.(2) Tro NO2 over southern China has an obvious seasonal variation, which is closely coupled with regional meteorology in each season.(3) NO2 concentration in Haikou revealed three pollution periods during December 2013 and January 2014. The variation of NO2 concentration in Haikou is related to the meteorological elements closely.(4) Compared to the monthly mean meteorological fields of the pollution periods, the results indicate that NO2 pollution event in Haikou is directly related to the exogenous transportation from PRD region. An ensemble analysis of meteorological dynamic factors,wind vectors and backward trajectories during the pollution periods further verifies this conclusion.

Abstract

An ensemble of satellite measurements, statistic data from government and meteorological diagnosis in regional background site(Haikou, China) has revealed the spatial and temporal characteristics of NO2 and associated synoptic transport patterns over southern China from January 2013 to February 2014. The result are as follows.(1)Ozone Monitoring Instrument(OMI) satellite products have a good correlation with observation NO2 in Haikou. The correlation coefficients between Observation NO2 and tropospheric column NO2 and ratio of Tro NO2/Tot NO2(tropospheric column NO2/total column NO2) have all passed the confidence level of 99.9% test.(2) Tro NO2 over southern China has an obvious seasonal variation, which is closely coupled with regional meteorology in each season.(3) NO2 concentration in Haikou revealed three pollution periods during December 2013 and January 2014. The variation of NO2 concentration in Haikou is related to the meteorological elements closely.(4) Compared to the monthly mean meteorological fields of the pollution periods, the results indicate that NO2 pollution event in Haikou is directly related to the exogenous transportation from PRD region. An ensemble analysis of meteorological dynamic factors,wind vectors and backward trajectories during the pollution periods further verifies this conclusion.

论文参考文献

  • [1].Observations of atmospheric pollutants at Lhasa during 2014-2015: Pollution status and the influence of meteorological factors[J]. Bu Duo,Lulu Cui,Zhenzhen Wang,Rui Li,Liwu Zhang,Hongbo Fu,Jianmin Chen,Huifang Zhang,A.Qiong.  Journal of Environmental Sciences.2018(01)
  • [2].The impact of meteorological changes from 2013 to 2017 on PM2.5 mass reduction in key regions in China[J]. Xiaoye ZHANG,Xiangde XU,Yihui DING,Yanju LIU,Hengde ZHANG,Yaqiang WANG,Junting ZHONG.  Science China Earth Sciences.
  • [3].Is Smog a Bolt From the Blue or Made by Man?[J].   Beijing Review.2017(03)
  • [4].Retrospective Evaluation of Radiation Environmental Impact from Normal Operation of CIAE Installation during 2006 to 2014[J]. SONG Wei-jie,CHENG Wei-ya.  Annual Report of China Institute of Atomic Energy.2016(00)
  • [5].Chemical composition and quantitative relationship between meteorological condition and fine particles in Beijing[J]. WANG Jing-li 1, ZHANG Yuan-hang 2, SHAO Min 2,* , Liu Xu-lin 3, ZENG Li-min 2, CHENG Cong-lan 1, XU Xiao-feng 1 (1.Institute of Urban Meteorology, CMA, Beijing 100089, China. ; 2.State Joint Key Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences, Peking University, Beijing 100871, China; 3.Beijing Meteorological Information and Network Center, Beijing 100089, China).  Journal of Environmental Sciences.2004(05)
  • [6].Mesoscale meteorological modelling for Hong Kong-application of the MC2 model[J]. Dennis Y.C. Leung 1* , Michal Niewiadomski 2, Robert Benoit+3 (1. Dept. of Mechanical Engineering, The University of Hong Kong, Hong Kong. ; 2.ERM|Hong Kong, Ltd, 3. Recherche en Prvision Numrique, 2121 Route Transcanadienne, Dorval, Quebec, C.  Journal of Environmental Sciences.2002(02)
  • [7].Spatial patterns and effects of air pollution and meteorological factors on hospitalization for chronic lung diseases in Beijing, China[J]. Lin Tian,Chuan Yang,Zijun Zhou,Ziting Wu,Xiaochuan Pan,Archie C.A.Clements.  Science China(Life Sciences).2019(10)
  • [8].Assessing the inter-annual variability of separation distances around odour sources to protect the residents from odour annoyance[J]. Marlon Brancher,Martin Piringer,Davide Franco,Paulo Belli Filho,Henrique De Melo Lisboa,Günther Schauberger.  Journal of Environmental Sciences.2019(05)
  • [9].Estimation of daily PM2.5 concentration and its relationship with meteorological conditions in Beijing[J]. Qian Yin,Jinfeng Wang,Maogui Hu,Hoting Wong.  Journal of Environmental Sciences.2016(10)
  • [10].Impact of meteorological conditions on a nine-day particulate matter pollution event observed in December 2013,Shanghai,China[J]. Jianming Xu,Fengxia Yan,Ying Xie,Fengyun Wang,Jianbin Wu,Qingyan Fu.  Particuology.2015(03)
  • 论文详细介绍

    论文作者分别是来自Journal of Tropical Meteorology的符传博,丹利,唐家翔,杨薇,发表于刊物Journal of Tropical Meteorology2019年03期论文,是一篇关于,Journal of Tropical Meteorology2019年03期论文的文章。本文可供学术参考使用,各位学者可以免费参考阅读下载,文章观点不代表本站观点,资料来自Journal of Tropical Meteorology2019年03期论文网站,若本站收录的文献无意侵犯了您的著作版权,请联系我们删除。

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