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大气复合污染是灰霾内因
引用本文:宋丽潞, 梁旭东, 赵秀娟. 2017: 基于模拟与观测资料的北京地区气溶胶观测站点分布策略研究. 暴雨灾害, 36(4): 382-387. DOI: 10.3969/j.issn.1004-9045.2017.04.011
作者姓名:宋丽潞  梁旭东  赵秀娟
作者单位:1.中国气象科学研究院灾害天气国家重点实验室,北京 100081;2.北京城市气象工程技术研究中心,北京 100089
基金项目:国家卫生和计划生育委员会公益性行业科研专项(20142022);北京市科技计划项目“紫外吸收性气溶胶监测系统示范应用”
摘    要:

使用北京区域环境气象数值预报系统2015年11、12月和2016年1、5、6、7月PM2.5浓度的模式模拟结果与同期有限观测资料进行相关分析,探索在站点稀少情况下如何确定最优测站分布策略的方法。通过模拟结果与有限观测资料的结合,使用观测资料筛选比较好的模拟结果,可以得到有较高空间分辨率和一定时间序列长度的资料, 进而可以进行站点代表性分析确定最优站点分布。基于该方法分析了北京地区气溶胶观测的站点分布策略。北京地区PM2.5浓度呈南高北低的分布, 另一个显著的特点是有沿地形分布的特点。冬季与夏季明显的区别是,夏季PM2.5浓度变化比较大的区域在西南部,而冬季该大值区沿地形向东北扩展比较明显。总体上,观测站点分布宜在北京西南部采用较小的站距,向北向东站点距离逐步增大。针对冬季观测站点分布的显著特征是西部沿山一带需要较高的站点密度。要获得相同质量的空间分布特征,冬季站点总体密度比夏季高。



关 键 词:气溶胶  站点分布  相关分析  模式模拟
收稿时间:2016-11-01

The theory of interpolation in a stochastic field of meteorological elements and its application to meteorological elements and its application to meteorological map and network rationalization problems
SONG Lilu, LIANG Xudong, ZHAO Xujuan. 2017: A study of the distribution strategy of aerosol observation stations in Beijing
based on simulated and observed data. Torrential Rain and Disasters, 36(4): 382-387. DOI: 10.3969/j.issn.1004-9045.2017.04.011
Authors:SONG Lilu  LIANG Xudong  ZHAO Xujuan
Affiliation:1.State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081;2.Beijing Urban Meteorological Engineering Technology Research Center, Beijing 100089
Abstract:Using correlation analysis between hourly simulation results of Beijing Regional Environmental Meteorology Prediction System and the limited simultaneous observation data of PM2.5 concentration in November, December 2015 and January, May, June, and July 2016, a method to determine the optimal observation station distribution strategy is proposed and examined. Using this method, the observations are used to select better model results. This method is useful for determining station distribution strategy in sparse observation area based on high resolution and long time series data from numerical model simulation and available observations. This method is applied to station distribution strategy of PM2.5 observation in Beijing. Generally, the concentration of PM2.5 in the south is higher than that in the north, and characterized by high concentration along the mountain foot. In summer, the area has the highest horizontal concentration gradient located in the southwest, and it extends toward northeast in winter. Therefore, the optimal distribution strategy of PM2.5 monitoring stations is with high density (small distance between stations) in the southwest and gradually increasing the distance between stations towards the north and east. On the other hand, to get same quality of horizontal distribution information, more stations should be used in winter than those in summer.
Keywords:aerosol  distribution of stations  correlation analysis  model simulation
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