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2015—2020年广东臭氧污染特征、污染天气分型及局地气象要素影响 被引量:12
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作者 曹梅 范绍佳 +2 位作者 靳春 蔡倩 贺沅平 《环境科学学报》 CAS CSCD 北大核心 2023年第1期19-31,共13页
利用2015—2020年广东省102个国控大气环境监测站臭氧(O_(3))监测数据、广东省21个地市国家基本气象站地面气象观测数据和欧洲中期天气预报中心(ECMWF)第五代大气再分析全球气候数据(ERA5再分析资料),研究了2015—2020年广东O_(3)污染... 利用2015—2020年广东省102个国控大气环境监测站臭氧(O_(3))监测数据、广东省21个地市国家基本气象站地面气象观测数据和欧洲中期天气预报中心(ECMWF)第五代大气再分析全球气候数据(ERA5再分析资料),研究了2015—2020年广东O_(3)污染特征、污染天气分型及局地气象要素影响.结果表明:2017—2019年广东O_(3)污染较严重,4—5月O_(3)浓度逐步上升,6月出现一定下降后7月开始持续上升,峰值出现在9—10月;珠三角O_(3)超标率明显高于全省其他地区,粤东O_(3)超标率低于全省平均水平,但浓度平均值高于全省其他地区.基于自组织映射(SOM)方法,将2015—2020年逐日海平面气压和10 m水平风进行分型得到12类环流型,按污染程度分为“污染天气型”、“轻污染天气型”和“清洁天气型”.其中“污染天气型”有台风外围叠加副高型、冷锋前部型、热带系统降水前静稳型、高压底前部型4类.12类天气型所对应的O_(3)浓度与日照时数、最高气温呈显著正相关,与相对湿度呈显著负相关;高温低湿易出现O_(3)污染,但不同区域O_(3)对温度、湿度的响应不同.进一步分析台风外围叠加副高型控制下O_(3)浓度与气象要素的关系,发现日照时数4 h以内,O_(3)浓度增长速率最大,台风外围叠加副高型O_(3)污染跨省输送主要路径为偏北和偏东方向.珠三角O_(3)浓度日变化呈双峰,夜间峰值可能是由于残留层储存日间混合层内的高浓度O_(3)气团,在夜间偏北风的作用下由江西-韶关-清远向珠三角传输,经下沉运动作用下传输至地面导致的. 展开更多
关键词 臭氧 污染天气型 局地气象影响 广东
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Differences in Meteorological Conditions between Days with Persistent and Non-Persistent Pollution in Beijing, China 被引量:3
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作者 Ting YOU Renguang WU Gang HUANG 《Journal of Meteorological Research》 SCIE CSCD 2018年第1期81-98,共18页
We compared the regional synoptic patterns and local meteorological conditions during persistent and non-persistent pollution events in Beijing using US NCEP–Department of Energy reanalysis outputs and observations f... We compared the regional synoptic patterns and local meteorological conditions during persistent and non-persistent pollution events in Beijing using US NCEP–Department of Energy reanalysis outputs and observations from meteorological stations. The analysis focused on the impacts of high-frequency(period 〈 90 days) variations in meteorological conditions on persistent pollution events(those lasting for at least 3 days). Persistent pollution events tended to occur in association with slow-moving weather systems producing stagnant weather conditions, whereas rapidly moving weather systems caused a dramatic change in the local weather conditions so that the pollution event was short-lived. Although Beijing was under the influence of anomalous southerly winds in all four seasons during pollution events, notable differences were identified in the regional patterns of sea-level pressure and local anomalies in relative humidity among persistent pollution events in different seasons. A region of lower pressure was present to the north of Beijing in spring, fall, and winter, whereas regions of lower and higher pressures were observed northwest and southeast of Beijing, respectively, in summer. The relative humidity near Beijing was higher in fall and winter, but lower in spring and summer. These differences may explain the seasonal dependence of the relationship between air pollution and the local meteorological variables. Our analysis showed that the temperature inversion in the lower troposphere played an important part in the occurrence of air pollution under stagnant weather conditions.Some results from this study are based on a limited number of events and thus require validation using more data. 展开更多
关键词 persistent and non-persistent pollution events regional synoptic patterns local meteorological conditions temperature inversion stability index BEIJING
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Influences of Meteorological Conditions on Interannual Variations of Particulate Matter Pollution during Winter in the Beijing–Tianjin–Hebei Area 被引量:1
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作者 Jianjun HE Sunling GONG +9 位作者 Hongli LIU Xingqin AN Ye YU Suping ZHAO Lin WU Congbo SONG Chunhong ZHOU Jie WANG Chengmei YIN Lijuan YU 《Journal of Meteorological Research》 SCIE CSCD 2017年第6期1062-1069,共8页
To investigate the interannual variations of particulate matter (PM) pollution in winter, this paper examines the pollution characteristics of PM with aerodynamic diameters of less than 2.5 and 10 μm (i.e., PM2.5 ... To investigate the interannual variations of particulate matter (PM) pollution in winter, this paper examines the pollution characteristics of PM with aerodynamic diameters of less than 2.5 and 10 μm (i.e., PM2.5 and PM10), and their relationship to meteorological conditions over the Beijing municipality, Tianjin municipality, and Hebei Province--an area called Jing-Jin-Ji (JJJ, hereinafter)-in December 2013-16. The meteorological conditions during this period are also analyzed. The regional average concentrations of PM2.5 (PM10) over the JJJ area during this period were 148.6 (236.4), 100.1 (166.4), 140.5 (204.5), and 141.7 (203.1) μg m^-3, respectively. The high occurrence frequencies of cold air outbreaks, a strong Siberian high, high wind speeds and boundary layer height, and low temperature and relative humidity, were direct meteorological causes of the low PM concentration in December 2014. A combined analysis of PM pollution and meteorological conditions implied that control measures have resulted in an effective improvement in air quality. Using the same emissions inventory in December 2013-16, a modeling analysis showed emissions of PM2.5 to decrease by 12.7%, 8.6%, and 8.3% in December 2014, 2015, and 2016, respectively, each compared with the previous year, over the JJJ area. 展开更多
关键词 particulate matter pollution local meteorological conditions circulation types Siberian high
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