Characteristics of Atmospheric Pollutants at Dinghushan Station During the Asian Games in Guangzhou

Chen Lin; Wang Lili; Ji Dongsheng; Wang Shigong; Wang Yuesi

Vol.24, NO.2, 2013

Article Contents

Article Navigation > Journal of Applied Meteorological Science > 2013 > 24(2): 151-161

Chen Lin, Wang Lili, Ji Dongsheng, et al. Characteristics of atmospheric pollutants at Dinghushan Station during the Asian Games in Guangzhou. J Appl Meteor Sci, 2013, 24(2): 151-161.

Citation:

Chen Lin, Wang Lili, Ji Dongsheng, et al. Characteristics of atmospheric pollutants at Dinghushan Station during the Asian Games in Guangzhou. J Appl Meteor Sci, 2013, 24(2): 151-161.

Chen Lin, Wang Lili, Ji Dongsheng, et al. Characteristics of atmospheric pollutants at Dinghushan Station during the Asian Games in Guangzhou. J Appl Meteor Sci, 2013, 24(2): 151-161.

Citation:

Chen Lin, Wang Lili, Ji Dongsheng, et al. Characteristics of atmospheric pollutants at Dinghushan Station during the Asian Games in Guangzhou. J Appl Meteor Sci, 2013, 24(2): 151-161.

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Characteristics of Atmospheric Pollutants at Dinghushan Station During the Asian Games in Guangzhou

1.
Atmospheric Science College, Lanzhou University, Key Laboratory of Semi-arid Climate Change, Chinese Education Ministry, Lanzhou 730000
2.
LAPC, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029

Received Date: 2012-08-23
Rev Recd Date: 2012-12-14
Publish Date: 2013-04-30

Abstract

Abstract

To understand the air quality status and influences of meteorological factors on concentrations of regional background pollutants in Southern China, online measurements of nitrogen oxide, sulfur dioxide, ozone, PM₁₀ and PM_2.5 observations are conducted in Mount Dinghu Background Monitoring Station in November of 2010. MICAPS data, NCEP FNL data and HYSPLIT model are used to deeply analyze the relationship between synoptic circulation, divergence and vorticity, meteorological factors, pollutant source regions and variation characteristics of pollutants in different periods. The results show that the average concentrations of NO₂, SO₂ and O₃ in Mount Dinghu area are (7.2±3.1)×10^-9, (8.5±3.8)×10^-9 and (28.7±9.8)×10^-9, respectively, during the Asian Games period.The aerosol pollution in this region is serious, with the monthly average concentration of PM₁₀ for 113 μg·m^-3 and PM_2.5 for 81 μg·m^-3, and the daily average concentration of PM_2.5 exceeds the WHO IT.1 air quality standard for 13 days. The analyses on air pollutants during high-level pollution periods show that the average concentrations of NO_x and O₃ are 13.2×10^-9 and 20.9×10^-9, which decreases by 41.3% and 10.7% than those in 2009, but the average concentration of SO₂ hardly changes in 2010 compared with that in 2009. All the results suggest that the air quality control measure is effective in some degree. However, the concentrations of PM₁₀ and PM_2.5 during the period of the Asian Games are higher than those during the same period in 2009, due to relatively stable meteorological conditions, fine weather and high temperature, while the continuous precipitations leads to the lower values of PM₁₀ and PM_2.5 during the same period in 2009. High temperature and humidity caused by uniform pressure and temperature fields of the generation of high pressure, continued convergence, weak rising mechanism, the weak surface wind at the surface layer and regional transport lead to the accumulation of primary air pollutants and fine particles. Backward trajectory simulation results show that the flows, originating from east, lead an obvious increase in primary air pollutants, fine particles and atmospheric oxidation in the areas of Mount Dinghu, which pass the industrial areas in Pearl River Delta. In summary, higher concentrations of PM_2.5 in Pearl River Delta regional background area are attributed to adverse meteorological condition and pollutant transport.
- the Asian Games in Guangzhou;
- regional background;
- air pollution;
- synoptic process

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References(32)

Figures and Tables

Fig. 1 Concentration variation of NO_x, SO₂, O₃, PM in Nov 2010 (a) hourly average, (b) daily average

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图 2 NO_x，O₃，SO₂，PM低值时段和高值时段各污染物平均日变化

(括号内数值为各污染物浓度时段平均值)

Fig. 2 Pollutant average diurnal variation in low concentration period and high concentration period

(the value within the brackets is average concentration for each pollutant)

DownLoad: Full-Size Img PowerPoint

图 3 2010年11月鼎湖山站气象要素与污染物时间变化图

(a)3—5日，(b)27—28日

Fig. 3 Diurnal variation of meteorological factors and pollutant concentrations at Mout Dinghu in 2010(a)3 November to 5 November, (b)27 November to 28 November

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图 4 2010年11月鼎湖山站低值时段与高值时段[O₃]与[NO₂]/[NO]的相关性分析

(a)3—5日，(b)27—28日

Fig. 4 Correlation analysis of [O₃] and [NO₂]/[NO] during low and high concentration periods at Mount Dinghu in 2010(a)3 November to 5 November, (b)27 November to 28 November

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Fig. 5 Height-time section of regional average diffusion (unit:10^-5s^-1) and vertical velocity (unit:Pa·s^-1) at Mount Dinghu during 3—5 November and 27—28 November in 2010

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Fig. 6 24 h back-trajectory simulation for the air mass arrived at Mount Dinghu in different periods in November 2010

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Table 1 Typical high and low pollutant concentration processes and corresponding weather patterns

典型过程	时段	对应天气形势	天气状况
低值	2009-11-02—04	冷高压南下	多云
	2009-11-12—16	冷高脊	阴有中到大雨
	2009-11-18—19	冷高压南下	多云转阴
	2010-11-03—05	冷高压南下	晴转阴雨
	2010-11-15—16	冷高压南下	晴
	2010-11-18—19	变性高压脊后部	多云
	2010-11-25—26	冷高压变性	晴间多云
高值	2009-11-06—07	变性脊回流	多云转阴
	2009-11-26—27	变性高压脊	多云
	2010-11-23—24	变性高压脊	晴
	2010-11-27—28	变性高压脊	多云

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