Research on Characteristics of Atmospheric Pollution and Meteorological Condition in South of Northern China

• 作者: Jun Zhang Xiaohui Song
• 来源期刊: 地球科学和环境保护期刊(英文)
• 学科: 地球科学
• 关键词: HEAVY POLLUTION AIR Quality METEOROLOGICAL Conditions
• 年，卷（期）: 2017,（1）
• 页码范围: 73-84
• 页数: 12页
• 分类号: P4

摘要

Taking Handan City (the south of Northern China) as an example, and making use of the environmentally friendly materials of Handan Environmental Monitor Station in 2013-2014, the surface observational data of Handan Meteorological Station and the sounding data of Xingtai station, combined with the integrated analysis of numerical prediction and simulation, this paper shows that, in 2014, the air quality improved;the emission-reduction effect was significant;the days of heavy pollution decreased;and the days up to the standard increased;the annual average concentration of pollutants PM2.5 and PM10 in the whole city showed a decreasing tendency compared to the same period of last year. In 2014, there were a total of 9 weather processes of heavy pollution lasting more than 3 days and the duration was significantly shorter than that in 2013, which indicated that effective emission-reduction measures significantly shortened the duration of weather processes of heavy pollution. The comprehensive analysis of meteorological conditions, such as the days of light wind, wind speed, wind frequency, PM2.5 concentration at different wind directions, the thickness and intensity of the inversion layer, and the height of the mixed layer, showed that, compared with the same period in 2013, the general meteorological conditions of air pollutant dispersion were basically flat and slightly disadvantageous in 2014. Handan municipal government increased the intensity of the prevention and control of air pollution in 2014, promulgated and adopted a series of air pollution control policies and emission-reduction control measures, and achieved some results, especially the emission-reduction measures during the APEC meeting which were obviously effective.