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Synoptic Characteristics Associated with Aerosol Pollution during the Same Period of Beijing Olympic and Paralympic Winter Games in History
MIAO Yucong, PENG Yanyu, LI Jian, ZHANG Gen
Acta Scientiarum Naturalium Universitatis Pekinensis    2020, 56 (5): 815-823.   DOI: 10.13209/j.0479-8023.2020.062
Abstract1092)   HTML    PDF(pc) (2833KB)(204)       Save
To understand the complicated relationships between synoptic forcing, regional transport and aerosol pollution during the same period of the Beijing Olympic and Paralympic Winter Games in history from 2015 to 2019, long-term meteorological observations, aerosol measurements and radiosonde data in Beijing and Zhangjiakou were analyzed, in combination with numerical simulation and objective synoptic classification. It’s found that the heavy aerosol pollution in both Beijing and Zhangjiakou is associated with warm, moist, and calm wind situations at the ground level. At the upper level, the heavy pollution events in Beijing are related to the 850 hPa southwest winds, and the heavy pollutions in Zhangjiakou are typically associated with the southwest and south winds. Although the distance between the centers of Beijing and Zhangjiakou is around 160 km, the increasing aerosol concentrations and occurrence of thermal inversion aloft are often synchronously observed in those two cities, which are relevant to certain large-scale synoptic patterns. When there is a high-pressure system in eastern China at the 850 hPa level, the warmer air mass in the southern regions can be brought to Beijing and Zhangjiakou, enhancing the thermal inversion and suppressing the development of boundary layer to some extent. Meanwhile, the aerosols emitted from the south Hebei, the north Shanxi and middle Inner Mongolia can be transported to Beijing, leading to the exacerbation of pollution. With a higher altitude, the polluted air masses advected to Zhangjiakou are mainly from the western upstream regions, which can deteriorate the air quality in addition to the local emissions. Thus, under the unfavorable synoptic conditions, joint efforts to reduce emissions in Beijing, Zhangjiakou, and those upstream regions should be considered to effectively mitigate the heavy pollution.
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Meteorological Characteristics of Prolong Low-Visibility Events in Haikou during February 2018
YAN Yan, MIAO Yucong, LI Jian, GUO Jianping
Acta Scientiarum Naturalium Universitatis Pekinensis    2019, 55 (5): 899-906.   DOI: 10.13209/j.0479-8023.2019.056
Abstract904)   HTML    PDF(pc) (1431KB)(161)       Save
To understand the meteorological characteristics associated with the prolong low-visibility events occurring in Haikou and Qiongzhou Strait during February 2018, we systematically analyzed the visibility data, surface meteorological observations, sounding data and reanalysis data. It’s found that the low-visibility events in winter in Haikou typically occurred under relatively warmer and moister conditions. In winter, the visibility of Haikou was significantly anti-correlated with relative humidity, temperature and thermal stability, and was significantly correlated with wind speed and boundary layer height. No significant correlation was found between visibility and PM2.5 concentration. At the 925 hPa level, when Haikou was located to the south of high-pressure system, good visibility could be observed associated with the northeasterly winds; in contrast, when Haikou was controlled by the southeasterly winds, the warm and moisture air mass could be brought to Haikou, favoring the occurrence of low-visibility events.
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Case Studies: Simulation on Characteristics of Wind Turbine Wake Effect in a Lake-Side Wind Farm with WRF-Fitch
WANG Shu, LIU Shuhua, CHEN Jianzhou, HU Ju, FENG Shuanglei, MA Yulong, MIAO Yucong
Acta Scientiarum Naturalium Universitatis Pekinensis    2018, 54 (3): 605-615.   DOI: 10.13209/j.0479-8023.2017.187
Abstract1289)   HTML16)    PDF(pc) (1495KB)(406)       Save

Meso-scale meteorological numerical model WRF (Weather Research and Forecast) and the Fitch Wake model are adopted to reveal the intension and patch range of TWE (turbine wake effect) in various atmospheric stability, as well as the impact of different turbine configuration on utilization efficiency of wind energy. Case studies are conducted over Poyang Lake region. The results are as followed. Horizontally, the patch range of a single wind turbine’s TWE can reach 4 to 10 km downward, with a reduction in wind speed ranging from −0.2 to −1.2 m/s under different atmospheric instability. The reduction in wind speed is more severe with more turbines on the stream track. Among the five cases with different turbine location configuration, the wind speed reducing effect in square case (intensively distributed) is much more apparent than others, while the wind speed in TWE patch tends to recover quickly in hollow diamond case (sparsely distributed). Compared with unstable atmospheric stratification, the TWE under stable atmospheric stratification has a longer patch range, because the turbulent exchange of momentum is intenser in unstable stratification than that in stable stratification. Vertically, the QKE (twice of turbulent kinetic energy) at the wind turbine spot peaks in the core. QKE increases to its maximum value of 19 m2/s2 and then decreases to around zero. The maximum QKE appears at the level of about 90 m above ground level, while the vertical impact of TWE can be traced to a height of 1.1 km.

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