Micro-scale traceability algorithm based on park atmospheric concentration monitoring system

The invention provides a micro-scale traceability algorithm based on a park atmospheric concentration monitoring system, and the algorithm comprises the steps: carrying out the standardization processing of data, eliminating a missing value field, screening an abnormal high value region, calculating...

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Bibliographische Detailangaben
Hauptverfasser: LI HAINI, LI XIONGWEI, TU MOXIN, GUO YUN, JIANG MUXIAN, MI JUNRUI, LIU ZHENXIN
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention provides a micro-scale traceability algorithm based on a park atmospheric concentration monitoring system, and the algorithm comprises the steps: carrying out the standardization processing of data, eliminating a missing value field, screening an abnormal high value region, calculating a probability density field under different main wind directions, and carrying out the inversion of a high emission distribution probability density field through a Gaussian diffusion model. And finally, a total high emission distribution probability density field is obtained based on wind frequency weighting. And through multi-dimensional data processing of the monitoring data, the data quality is more stable, and the traceability credibility is improved. 本发明提供一种基于园区大气浓度监测系统的微尺度溯源算法,包括数据的标准化处理、剔除缺值场、筛选异常高值区域、计算不同主风向下的概率密度场、利用高斯扩散模型反演高排放分布概率密度场,最后基于风频加权得到总高排放分布概率密度场。并且通过对监测数据的多维度数据处理,使得数据质量更加稳定,提高了溯源的可信度。