基于CEEMDAN的多时间尺度的北京市PM_(2.5)浓度影响因素研究  

Study on the Influencing Factors of PM_(2.5)Concentration in Beijing at Multiple Time Scales Based on CEEMDAN

作　　者：叶紫涵 刘婵[1] 谭章禄[1] 胡翰 彭胜男 YE Zihan;LIU Chan;TAN Zhanglu;HU Han;PENG Shengnan(School of Management,China University of Mining and Technology(Beijing),Beijing 100083,China;China Energy Technology and Economics Research Institute,Beijing 102200,China)

机构地区：[1]中国矿业大学(北京)管理学院,北京100083 [2]国家能源集团技术经济研究院,北京102200

出　　处：《中国环境管理》2024年第3期131-142,共12页Chinese Journal of Environmental Management

摘　　要：研究PM_(2.5)浓度的主要影响因素,对提升北京市空气质量具有重要意义。与以往仅限于原始时间尺度的研究不同,本文基于CEEMDAN方法考察了多时间尺度下年平均风速、城市绿化、人口密度、产业结构和能源强度对北京市PM_(2.5)浓度波动的影响,并与原始时间尺度的主导因素进行对比。研究发现:原始尺度的北京市PM_(2.5)浓度影响因素是不同时间尺度内影响因素合力作用结果,不同时间尺度下影响因素不同。城市绿化、人口密度、产业结构和能源强度在多时间尺度中起到短期增强波动的作用,城市绿化和产业结构是贯穿于各个时间尺度的具有趋势性,决定北京市PM_(2.5)浓度基本走势的影响因素。It is of great significance to study the main influencing factors of PM_(2.5)concentration for improving the air quality in Beijing.Different from previous studies limited to the original time range,this paper investigates the influence of annual average wind speed,urban greening,population density,industrial structure and energy intensity on PM_(2.5)concentration fluctuations in Beijing at multiple time scales based on CEEMDAN method,and compares them with the dominant factors at the original time scale.It is found that the influencing factors of PM_(2.5)concentration in Beijing at the original scale are the resultant effects of influencing factors at different time scales,and the influencing factors are different at different time scales.Urban greening,population density,industrial structure and energy intensity play a role in enhancing short-term fluctuations in multiple time scales.Urban greening and industrial structure are the influencing factors that have trend across all time scales and determine the basic trend of PM_(2.5)concentration in Beijing.

关 键 词：PM_(2.5) 多时间尺度 影响因素 CEEMDAN 空气质量 

分 类 号：X321[环境科学与工程—环境工程] F205[经济管理—国民经济]