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作 者:范东福 杨书运[1,2] 吴必文 范东勤 王俊[1,2] 江波[1,2] 陈晓龙[1,2]
机构地区:[1]安徽农业大学资源与环境学院,合肥230036 [2]农业部合肥农业环境科学观测试验站,合肥230036 [3]安徽气象科学研究所,合肥230031 [4]西安交通大学机械工程学院,西安710049
出 处:《国土资源遥感》2015年第2期133-138,共6页Remote Sensing for Land & Resources
摘 要:秸秆焚烧会增加可吸入颗粒物(particulate matter with particle size less than or equal to 10 microns,PM10)的浓度。首先,分别从秸秆焚烧火点、10 m风场、气溶胶光学厚度(aerosol optical depth,AOD)3个方面对发生在安徽及周边省市的2009年6月1—9日PM10污染事件进行机理分析;其次,利用拉格朗日混合单粒子轨迹(hybrid single particle lagrangian integrated trajectory,HYSPLIT)模式对2009年6月5日阜阳市出现的PM10污染事件进行后向轨迹分析;最后,对火点密度与AOD值进行相关分析。结果表明:秸秆焚烧火点、10 m风场及AOD之间存在一致性,这表明使用AOD数据对秸秆焚烧进行监测是可行的;2009年6月5日阜阳市出现的PM10污染事件中有外来污染物的输入,污染物来自阜阳西部、河南中部、东南部和湖北北部、东部,因此很有必要加强区域秸秆焚烧的联防联控;火点密度与AOD值之间有正相关性,这表明秸秆焚烧可显著提高区域的AOD值。The biomass burning increases the concentration of PM10 . In this paper, the authors first took biomass burning hot spots,10 meters wind field and AOD into consideration to analyze the meteorological mechanism of the case of the PM10 pollution during June 1—9, 2009 in Anhui and its neighboring provinces. Moreover, by tracking the air mass of the case of the PM10 pollution in Fuyang on June 5, 2009 by the simulation of the HYSPLIT model, the authors analyzed the backward trajectory of the case. Finally, the correlation coefficients between hot spots and AOD were calculated. The results clearly show that there was a significant consistence between the biomass burning hot spots,10 meters wind field and AOD, suggesting that it is feasible to monitor the biomass burning by using AOD data, and that the transported pollutants related to the case of the PM10 pollution in Fuyang on June 5, 2009 mainly came from western Fuyang, middle and southeast Henan Province and northern as well as eastern Hubei Province. Therefore, it is very necessary to strengthen regional united precautions and controls of biomass burning. In addition, there was a positive correlation between hot spots and AOD, implying that biomass burning increases significantly the value of regional AOD.
关 键 词:秸秆焚烧 可吸入颗粒物(PM10) 气溶胶光学厚度(AOD) 轨迹分析
分 类 号:TP751.1[自动化与计算机技术—检测技术与自动化装置]
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