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云量数据对点源污染物大气扩散预测结果的影响分析 被引量:4

Influence Analysis of Cloud Cover Information on the Atmospheric Diffusion Predictions of Point Source Pollutants
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摘要 以距离污染源38.3 km的基本站地面气象观测资料作为标准情景,对比了卫星反演总云量方案和距污染源53.46 km的基准站云量方案2种方案情景,研究使用替代云量数据进行污染源大气扩散预测的可行性。研究发现,距离污染源53.46 km的基准站云量方案与标准情景的相关性和符合度优于卫星反演总云量方案,原因在于低云量是影响地面接收太阳辐射的关键性参数,不稳定条件下影响总入射太阳辐射、净辐射等边界层参数的估算结果,稳定条件下影响温度尺度、地表摩擦速度等边界层参数估算结果。卫星反演只能得到总云量数据,同时数据反演过程中存在算法精度的影响,导致卫星反演云量数据预测结果的相关性和符合度较差。 Taking the ground meteorological observation data from the basic station as the standard values,which was 38.3 km away from the pollution source,the total cloud cover retrieved by satellite were compared with the cloud cover from the base station53.46 km away from the pollution source.Accordingly,the feasibility to predict the atmospheric diffusion of pollution source by using alternative cloud cover data was studied.The results showed that cloud cover from station 53.46 km away had a better correlation and consistence with that from the standard station,compared with the total cloud cover retrieved by satellite.The reason was that the low cloud cover was the key parameter affecting the surface receiving solar radiation,which could affect the estimation results of boundary layer parameters such as total incoming solar radiation and net radiation under unstable conditions,and boundary layer parameters such as temperature scale and surface friction velocity under stable conditions.Satellite retrieval only got the total cloud cover data,and there was the influence of algorithm accuracy in the process of data inversion,which led to the poor correlation and consistency of the prediction results of satellite retrieval cloud cover data.
作者 马丹阳 潘峰 范建峰 王鹏波 MA Danyang;PAN Feng;FAN Jianfeng;WANG Pengbo(College of Atmospheric Science,Lanzhou University,Lanzhou 730000,China;Shale Oil Project Team of Changqing Oilfield Company of China National Petroleum Corporation,Qingyang 744100,China)
出处 《环境保护科学》 CAS 2020年第1期113-118,共6页 Environmental Protection Science
关键词 云量 卫星反演数据 AERMOD 地面气象观测资料 相关性分析 Cloud Cover Satellite Retrieval Data AERMOD Ground Meteorological Observation Data Correlation Analysis
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