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长江三角洲地区霾判别方法的对比分析
引用本文:刘晓慧,朱彬,高晋徽,张恩红,王红磊,陈烨鑫,王姝.长江三角洲地区霾判别方法的对比分析[J].环境科学,2014,35(9):3239-3246.
作者姓名:刘晓慧  朱彬  高晋徽  张恩红  王红磊  陈烨鑫  王姝
作者单位:南京信息工程大学, 中国气象局气溶胶与云降水重点开放实验室, 气象灾害预报预警与评估协同创新中心, 南京 210044;河北省气象服务中心, 石家庄 050021;南京信息工程大学, 中国气象局气溶胶与云降水重点开放实验室, 气象灾害预报预警与评估协同创新中心, 南京 210044;南京信息工程大学, 中国气象局气溶胶与云降水重点开放实验室, 气象灾害预报预警与评估协同创新中心, 南京 210044;广东省气象信息中心, 广州 510080;南京信息工程大学, 中国气象局气溶胶与云降水重点开放实验室, 气象灾害预报预警与评估协同创新中心, 南京 210044;南京信息工程大学, 中国气象局气溶胶与云降水重点开放实验室, 气象灾害预报预警与评估协同创新中心, 南京 210044;北京大学大气与海洋科学系, 北京 100871
基金项目:国家自然科学基金项目(41275143);公益性行业(气象)科研专项(201206011);江苏省高校自然科学研究重大基础研究项目(12KJA170003);江苏省“333”高层次人才培养工程项目;江苏省“六大人才高峰”计划项目;江苏高校研究生创新计划项目(CXLX12_0496)
摘    要:为对比霾判别方法的差异,探讨霾观测标准的再完善性,文中从空间分布与单点时间序列两方面分别分析研究了4种霾判别方法的特征与适用性.选取中国长江三角洲地区1980~2009年38个地面观测站的气象资料,根据使用日均值的方法 1、2和使用14:00观测值的方法 3分别统计各站点的霾日,分析3种方法的异同.发现这些方法都能够反映出霾的长期变化趋势,但存在差异,这种差异随着年代际变化逐渐减小.由方法 1得到的霾日数最多,方法 3考虑了天气现象,比方法 1和2更合理.依据南京北郊2012年5月~2013年4月的逐时PM2.5浓度、相对湿度和能见度等资料,分析比较了方法 4(霾的观测和等级预报,QX/T 113-2010)与方法 1、2、3的不同.结果表明,由方法 3统计出的霾日少于其他方法,由方法 4统计出的霾日数介于方法 1与方法 3的结果;方法 3不能分辨出霾的严重程度,而其他方法能较好地分辨出霾的严重程度.

关 键 词:霾判别方法  对比  长江三角洲地区  能见度  PM2.5
收稿时间:2014/1/18 0:00:00
修稿时间:2014/4/28 0:00:00

Comparative Analysis Methods of Haze Distinction over Yangtze River Delta Region
LIU Xiao-hui,ZHU Bin,GAO Jin-hui,ZHANG En-hong,WANG Hong-lei,CHEN Ye-xin and WANG Shu.Comparative Analysis Methods of Haze Distinction over Yangtze River Delta Region[J].Chinese Journal of Environmental Science,2014,35(9):3239-3246.
Authors:LIU Xiao-hui  ZHU Bin  GAO Jin-hui  ZHANG En-hong  WANG Hong-lei  CHEN Ye-xin and WANG Shu
Institution:Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science & Technology, Nanjing 210044, China;Hebei Provincial Meteorological Service Center, Shijiazhuang 050021, China;Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science & Technology, Nanjing 210044, China;Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science & Technology, Nanjing 210044, China;Information Center of Guangdong Province Meteorological Bureau, Guangzhou 510080, China;Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science & Technology, Nanjing 210044, China;Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science & Technology, Nanjing 210044, China;Department of Atmospheric and Oceanic Science, Peking University, Beijing 100871, China
Abstract:It is crucial to compare the difference and applicability of different haze discrimination methods and its criteria in haze study. Due to the requirement of methods and limitation of data, 4 common methods in two views of regional and temporal in one site are analyzed and studied. Based on the meteorological data from 38 observatories from 1980-2009, haze-day and haze-hour number are both counted for each station, employing Method 1 and 2 (with daily mean observation) and Method 3 (with 14:00 observation). The characteristics and applicability of these three methods are also compared and summarized. Statistical results via these methods are all capable to represent the long-term trend of haze, but haze-day numbers counted via these methods show differences, which become less remarkable with decadal changes. Haze days are the most by using Method 1.Method 3 considering the weather phenomenon is more reasonable than Method 1 and 2.According to the data of visibility, relative humidity and PM2.5concentration in northern Nanjing from May, 2012 to April, 2013, employing 4 haze discrimination methods including the additional one (QX/T 113-2010, i. e. Method 4), haze-day and haze-hour numbers are counted and compared. The result shows that: the haze-day number obtained employing Method 3 is less than others, while the haze-day number obtained employing Method 4 is between those with Method 1 and 3; using all Methods but Method 3 can distinguish the severity of haze significantly.
Keywords:haze discrimination methods  comparison  Yangtze River Delta Region  visibility  PM2  5
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