污染控制技术及原理

  • 陈焕盛,王自发,吴其重,王威.亚运时段广州大气污染物来源数值模拟研究[J].环境科学学报,2010,30(11):2145-2153

  • 亚运时段广州大气污染物来源数值模拟研究
  • Source analysis of Guangzhou air pollutants by numerical simulation in the Asian Games Period
  • 基金项目:国家高技术研究发展计划项目(863)(No2006AA06A306)
  • 作者
  • 单位
  • 陈焕盛
  • 1. 大气边界层物理与大气化学国家重点实验室, 中国科学院大气物理研究所, 北京 100029; 2. 竺可桢-南森国际研究中心, 中国科学院大气物理研究所, 北京 100029; 3. 中国科学院研究生院, 北京 100049
  • 王自发
  • 1. 大气边界层物理与大气化学国家重点实验室, 中国科学院大气物理研究所, 北京 100029; 2. 竺可桢-南森国际研究中心, 中国科学院大气物理研究所, 北京 100029
  • 吴其重
  • 1. 大气边界层物理与大气化学国家重点实验室, 中国科学院大气物理研究所, 北京 100029; 2. 竺可桢-南森国际研究中心, 中国科学院大气物理研究所, 北京 100029
  • 王威
  • 1. 大气边界层物理与大气化学国家重点实验室, 中国科学院大气物理研究所, 北京 100029; 2. 竺可桢-南森国际研究中心, 中国科学院大气物理研究所, 北京 100029; 3. 中国科学院研究生院, 北京 100049
  • 摘要:利用嵌套网格空气质量预报模式系统(Nested Air Quality Prediction ModelSystem,NAQPMS)研究2006年亚运时段广州的空气质量状况,同时结合污染源追踪方法,分析珠三角各城市的源排放对广州全市、广州二环以内市区、广州6个亚运加强观测站的污染物浓度贡献.结果表明,NAQPMS模式能较好地反映广州各污染物(NO2、SO2、PM10)浓度的变化;广州全市、广州市区、6个亚运加强观测站的污染物最主要来源于本地排放,而周边城市以东莞的贡献最大.3个源受体中,广州市区受本地排放的影响最显著,来自本地的NO2、SO2、PM10的月均贡献率分别为89.5%、75.4%、86.7%;东莞则对6个亚运加强观测站的影响最为突出,其NO2、SO2、PM10的月均贡献率达9.3%、23.8%、21.7%,而日最大贡献率高达19.3%、40.2%、48.7%.因此在大力削减广州本地污染排放的同时,对周边城市特别是东莞实施区域联防联控,将能有效改善亚运场馆附近的空气质量.
  • Abstract:The Nested Air Quality Prediction Model System (NAQPMS) with an on-line tracer tagging module was applied to simulate air quality over Guangzhou in November 2006 in preparation for the Asian Games to be held in November 2010.The contribution of emissions from different cities in the Pearl River Delta to NO2,SO2 and PM10 concentrations was quantified for three receptor regions:Guangzhou district,Guangzhou urban area and at 6 additional observation stations set up for the Asian Games.The results indicate that NAQPMScan reproduce the evolution of NO2,SO2 and PM10 concentrations over Guangzhou reasonably well.Air pollutants over the three receptor regions mainly come from local emissions,with the contributions from Dongguan larger than those from other neighboring cities.Of the three receptor regions,the Guangzhou urban area is the most significantly affected by local emissions,with monthly average contributions to NO2,SO2 and PM10 concentrations of 89.5% 、75.4% and 86.7%.Emissions from Dongguan have a larger impact on the concentration of air pollutants at the 6 additional observation stations set up for the Asian Games than at the other receptor regions,with monthly average contributions to NO2,SO2 and PM10 concentrations of 9.3%,23.8% and 21.7%,and the maximum daily average contributions are as high as 19.3%,40.2% and 48.7%.Therefore in order to effectively improve the air quality around Asian Games venues,the government should take effective measures to control emissions from surrounding cities,especially Dongguan,as well as reducing local emissions in Guangzhou.

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