Beijing Meteorological Service Center

Beijing, China

Beijing Meteorological Service Center

Beijing, China
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Sun Z.-B.,Institute of Urban Meteorology | Tao Y.,Lanzhou University | Cui M.-M.,Beijing Emergency Medical Center | An X.-Q.,China Meteorological Administration | Zhang D.-S.,Beijing Meteorological Service Center
Zhongguo Huanjing Kexue/China Environmental Science | Year: 2015

To investigate the impact of emission reduction and traffic restrictions measures before and after the 2008 Olympic Games in Beijing on public health, which had cardiovascular and cerebrovascular diseases. Air quality and the hospitalizations of cardiovascular and cerebrovascular diseases from Beijing Emergency Medical Center were collected from July to September during 2006~2010 in this paper. Using time series method of nonparametric generalized additive model (GAM) by controlling the long-term trend, "week effect", the influence of meteorological factors, to establish the relationship between the concentrations of PM2.5 and hospitalizations including gender and years stratification. There is significantly associations between PM2.5 and different cardiovascular and cerebrovascular disease with a lag of 0~2d. From July to September during 2006 to 2010, the relative risks (RR) of different groups are least in 2008 and are largest in 2009.Increases of 0.0%, 0.18% and 0.07% in 2008, 3.43%, 2.10% and 2.97% in 2009 for total, male and female cardiovascular and cerebrovascular diseases hospitalizations were associated with increase of 10 μg/m3 in PM2.5. In addition, it is very important for reducing the risk of cardiovascular and cerebrovascular diseases in Beijing by taking the related measures during the Olympic Game in 2008. ©, 2015, Chinese Society for Environmental Sciences. All right reserved.


Jin C.,CAS Institute of Atmospheric Physics | Jin C.,Beijing Meteorological Service Center | Jin C.,University of Chinese Academy of Sciences | Zhou T.,CAS Institute of Atmospheric Physics | And 2 more authors.
Science China Earth Sciences | Year: 2017

We applied a season-reliant empirical orthogonal function (S-EOF) analysis based on the results of the Community Earth System Model, version 1-Biogeochemistry, to seasonal mean air-sea CO2 flux over the western North Pacific (WNP) (0°–35°N, 110°E–150°E). The first leading mode accounts for 29% of the total interannual variance, corresponding to the evolution of the El Niño-Southern Oscillation (ENSO) from its developing to decaying phases. During the ENSO developing phase in the summer and fall, the contribution of surface seawater CO2 partial pressure anomalies is greater than that of gas transfer/solubility anomalies, which contribute to increasing oceanic CO2 uptake over the WNP. During the ENSO mature phase in the winter, the anomalous southwesterly northwest of the western North Pacific anticyclone (WNPAC) reduces the surface wind speed in the China marginal sea and thus decreases oceanic CO2 uptake by reducing the gas transfer coefficient. In the subsequent spring, the WNPAC maintains with an eastward shift in position. The anomalous southwesterly warms sea surface temperatures in the China marginal sea by reducing evaporation and thus decreases oceanic CO2 uptake by enhancing surface seawater CO2 partial pressure. This process, rather than the effect of decreasing gas transfer coefficient, dominates CO2 flux anomalies in the spring. © 2017 Science China Press and Springer-Verlag GmbH Germany


Feng T.,Beijing Meteorological Service Center | Feng S.,CAS Institute of Atmospheric Physics
Procedia Engineering | Year: 2012

The objectives of this study are to measure and evaluate the energy balance of a continental alpine snowpack during spring snowmelt conditions, to evaluate the performance of a point energy and mass balance model of a snow cover in alpine conditions. The investigation is conducted during the 1997 snowmelt season at Niwot Ridge in the Colorado Front Range. Further comparisons of the modeled results to the previously described measured results are made below the energy budget terms. The fluxes are corroborated using a point energy and mass balance model for a snowpack to determining snowpack energy exchanges, with minor differences found between flux magnitudes. This comparison suggests that the representation of internal snowpack energy and mass exchange processes is generally correct. © 2012 Published by Elsevier Ltd.


Feng T.,Beijing Meteorological Service Center | Feng S.,CAS Institute of Atmospheric Physics
Procedia Engineering | Year: 2012

Based on the surface energy balance method, a road surface temperature prediction model is established using solar shortwave radiation, longwave radiation, sensible and latent heat fluxes, and surface heat flux. The numerical model for the prediction of road surface temperature has been tested on data from two road stations in the summer and winter. Observations from the Luilongguan and Yangfang staions in the highway are used to compare with the model simulations. The results show that the road surface temperature predictions are well correlated with the observations under the three weather conditions (sunny, cloudy, overcast). Correlation coefficients are higher than 0.90. It is relatively low in rainy and snowy conditions. The results are generally encouraging and indicate that the road surface temperature prediction model has a good performance. © 2012 Published by Elsevier Ltd.


Feng F.,Beijing Meteorological Service Center | Li X.,Beijing Meteorological Service Center | Ding D.,Beijing Meteorological Service Center | Xie Z.,Beijing Meteorological Service Center
Applied Mechanics and Materials | Year: 2013

In order to reduce energy consumption and analyze energy-saving potential of building materials, the principle of the energy equilibrium is applied to establish the relationship between outdoor temperature, supply and return water temperature of heating system. A numerical simulation model of supply and return water temperature is deduced. Based on the predicted air temperatures and observed indoor temperature from Haiyuan community,a simulation experiment is executed. The experiments show that the root mean square error between simulated indoor temperature and required temperature (20oC) is 0.26oC, root mean square error between predicted and observed supply water temperature is 3.76oC. When the heat transfer coefficient is decreased by 10%, the predicted supply water temperature and return water temperature is decreased 3.8% and 3.2%, respectively. This means the prediction model has a good quality. © (2013) Trans Tech Publications, Switzerland.

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