研究报告

  • 刘永林,钟明洋,孙启民,钟部卿,雒昆利.重庆市都市功能核心区秋季大气污染物时空分布特征[J].环境科学学报,2016,36(7):2344-2354

  • 重庆市都市功能核心区秋季大气污染物时空分布特征
  • Temporal and spatial variations of atmospheric pollutants in Chongqing metropolitan area during autumn
  • 基金项目:国家自然科学基金(No.41502329);国家重点基础研究发展计划(973计划)(No.2014CB238906);重庆市社会科学规划项目博士项目(No.2014BS094)
  • 作者
  • 单位
  • 刘永林
  • 重庆师范大学 地理与旅游学院, 重庆 401331
  • 钟明洋
  • 1. 重庆地质矿产研究院 外生成矿与矿山环境重庆市重点实验室, 重庆 400042;2. 煤炭资源与安全开采国家重点实验室重庆研究中心, 重庆 400042
  • 孙启民
  • 长安大学 建筑学院, 西安 710064
  • 钟部卿
  • 中国环境科学研究院, 北京 100012
  • 雒昆利
  • 中国科学院地理科学与资源研究所, 北京 100101
  • 摘要:为研究重庆市都市功能核心区大气污染物浓度水平及变化规律,统计分析了2014年9月至2014年11月5个监测站(解放碑、高家花园、杨家坪、新山村和南坪)24 h连续监测PM2.5、PM10、SO2、NO2、CO和O3浓度数据。结果表明,观测期间,大气颗粒物污染严重,5个站点PM2.5日均浓度超标率分别为30.8%、37.4%、38.5%、37.4%和31.9%,5个站点PM10日均浓度超标率分别为23.1%、22.0%、18.7%、19.8%和19.8%;重庆市都市功能核心区细颗粒物(PM2.5)污染严重,5个站点PM2.5占PM10比例分别为60.2%、64.6%、64.1%、75.4%和62.8%;PM2.5、PM10、NO2和CO早晚出现高峰值;SO2和O3浓度日变化曲线呈现单峰型,峰值分别出现在中午和午后;降水量、气温和水汽压与PM2.5、PM10、SO2和NO2呈显著负相关;相对湿度与O3呈显著负相关,气温、水汽压和风速与O3呈显著正相关;CO与相对湿度呈显著正相关;风向也影响着大气污染物浓度的时空分布,南偏西、南偏东和东北偏北风利于PM2.5、PM10、SO2、NO2和CO浓度积累,西北风利于PM2.5、PM10、SO2、NO2和CO扩散;但西北风控制下利于O3浓度积累。
  • Abstract:To understand the concentrations and variation features of atmospheric pollutants in Chongqing metropolitan area, the observations of PM2.5, PM10, SO2, NO2, O3 and CO, along with meteorological factors, were conducted at five stations of Jiefangbei, Gaojiahuayuan, Yangjiaping, Nanping and Xinshancun, from September 1 to November 30, 2014. The results showed that the particulate pollution was serious at the above five sites. There were 30.8%, 37.4%, 38.5%, 37.4% and 31.9% of the days with daily concentration exceeding the National Air Quality Standard of GradeⅡ at the above five sites, respectively. The frequencies of days with excessive concentrations were 23.1%, 22.0%, 18.7%, 19.8% and 19.8% for PM10. Fine particles were major pollutant, and the proportion of PM2.5 in PM10 is 60.2%, 64.6%, 64.1%, 75.4% and 62.8% at the above five sites, respectively. PM2.5, PM10, NO2 and CO had the diurnal variation of highest in the morning and night. In addition, the peaks of SO2 and O3 were at noon or after. PM2.5, PM10, SO2 and NO2 concentration was negatively correlated with precipitation, air temperature and vapor pressure. O3 concentration was significantly negatively correlated with relative humidity, while positively correlated with air temperature, vapor pressure and wind speed. In addition, wind direction also affected spatial and temporal distribution of the concentrations of atmospheric pollutants. Southwesterly, southeasterly and northeasterly winds were associated with high PM2.5, PM10, SO2, NO2 and CO concentrations, while northwesterly wind was associated with high concentration of O3.

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