Beijing Municipal Meteorological Observatory

Beijing, China

Beijing Municipal Meteorological Observatory

Beijing, China
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Pu W.,Institute of Urban Meteorology | Zhao X.,Institute of Urban Meteorology | Shi X.,China Meteorological Administration | Ma Z.,Institute of Urban Meteorology | And 2 more authors.
Atmospheric Research | Year: 2015

The impact of long-range transport on aerosol properties at SDZ regional background station in Northern China during 2005-2010, was analyzed using trajectory clustering method with 3-day, 6-hourly backward trajectories determined by using HYSPLIT 4 model. Eleven clusters were determined by using the two-stage cluster method. PM2.5 levels, aerosol scattering coefficient (σsp) and scattering efficiency (αsp_2.5) of PM2.5 associated with each cluster were calculated. Based on the levels of PM2.5 and σsp, eleven clusters were classified into a relatively "clean" group (group A) and a "polluted" group (group B). The PM2.5 concentration and σsp of group A were lower than that of group B. Group A was mainly composed of the trajectories from northwest, north and northeast, which originated and passed through the emission areas such as Mongolia and Inner Mongolia. Group B mostly consisted of the air masses from the south and southeast, and the ones from the northwest. It was characterized with short and low trajectories over major anthropogenic emission regions in North China Plain (NCP), northwestern Hebei province and Inner Mongolia. The trajectory pathway of the northwest cluster in group B was lowest and slowest among all clusters from northerly direction, which caused the accumulation of pollutants along this pathway. High PM hours were identified in each cluster for each month, and were found mainly in group B, especially during March to October. Except of the contribution of high PM2.5 emissions in NCP, the production of secondary aerosols with the increasing solar radiation and humidity from March to October, and the straw burning that usually occurs in June in NCP are responsible for the high PM2.5 as well. The characteristics of αsp_2.5 of each cluster indicated that the northerly clusters were affected by anthropogenic pollutants mixed with dust, but southerly clusters were only influenced by the pollution aerosols. The αsp_2.5 of dust and anthropogenic pollution aerosols had a clear difference and ranged from 0.44 to 1.85, and 3.01 to 5.43, respectively. The higher αsp_2.5 of anthropogenic pollutant occurred mainly in the southerly trajectory pathways and partially in northwest pathways. The primary emissions and secondary formation of PM2.5 along these pathways were significant contributors to the aerosol properties of SDZ. However, emissions northwest of SDZ also make significant contributions to the PM2.5 mass loading and αsp_2.5, especially in spring and winter. © 2014 Elsevier B.V.


Zhang D.-S.,Beijing Municipal Meteorological Observatory | Zhang X.,Beijing University of Chinese Medicine | Ouyang Y.-H.,Beijing Otolaryngology Institute | Zhang L.,Beijing Otolaryngology Institute | And 2 more authors.
Chinese Journal of Integrative Medicine | Year: 2016

Objective: To analyze the correlations between the incidence of allergic rhinitis (AR) and meteorological variables of previous periods, so as to establish non-linear prediction equations of AR in Beijing area. Methods: AR patients (10,478 cases) collected from Beijing Tongren Hospital during 2007—2010 and meteorological data (including daily average temperature, daily maximum temperature, daily minimum temperature, daily relative humidity, daily average vapor pressure, daily dew point temperature, daily precipitation, daily average wind speed, sea level pressure, and degree of comfort) collected from Beijing Municipal Meteorological Observatory in the same periods were used for the analysis. Non-linear correlation and regression were adopted to analyze the relationship between AR incidence and meteorological variables of former six-qi stage which was defined according to Yunqi theory of Chinese medicine. Comprehensive meteorological parameter was introduced to establish the predictive model. Results: The high incidence of AR appeared in the 4th qi stage (from the Beginning of Autumn to Autumn Equinox), while the changes of meteorological variables appeared in the 3rd qi stage (from Grain in Beard to Greater Heat), which advanced one phase. The incidence of AR was closely associated with vapor pressure. The correlation coeffifi cients of two predictive models were between 0.8931–0.9176 and all of them have passed signififi cant statistical tests, which showed a satisfactory fifi tting effect. Conclusion: Comprehensive meteorological parameters can be used to forecast AR incidence, which is benefifi cial to AR prevention. © 2016 Chinese Association of the Integration of Traditional and Western Medicine and Springer-Verlag Berlin Heidelberg


PubMed | Beijing Otolaryngology Institute, Beijing Municipal Meteorological Observatory and Beijing University of Chinese Medicine
Type: | Journal: Chinese journal of integrative medicine | Year: 2016

To analyze the correlations between the incidence of allergic rhinitis (AR) and meteorological variables of previous periods, so as to establish non-linear prediction equations of AR in Beijing area.AR patients (10,478 cases) collected from Beijing Tongren Hospital during 2007-2010 and meteorological data (including daily average temperature, daily maximum temperature, daily minimum temperature, daily relative humidity, daily average vapor pressure, daily dew point temperature, daily precipitation, daily average wind speed, sea level pressure, and degree of comfort) collected from Beijing Municipal Meteorological Observatory in the same periods were used for the analysis. Non-linear correlation and regression were adopted to analyze the relationship between AR incidence and meteorological variables of former six-qi stage which was defined according to Yunqi theory of Chinese medicine. Comprehensive meteorological parameter was introduced to establish the predictive model.The high incidence of AR appeared in the 4th qi stage (from the Beginning of Autumn to Autumn Equinox), while the changes of meteorological variables appeared in the 3rd qi stage (from Grain in Beard to Greater Heat), which advanced one phase. The incidence of AR was closely associated with vapor pressure. The correlation coeffifi cients of two predictive models were between 0.8931-0.9176 and all of them have passed signififi cant statistical tests, which showed a satisfactory fifi tting effect.Comprehensive meteorological parameters can be used to forecast AR incidence, which is benefifi cial to AR prevention.

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