基于WRF模式的京津冀地区地表大气CO_(2)浓度的模拟研究  

Simulation of surface atmospheric CO_(2) concentration in Beijing-Tianjin-Hebei region based on WRF model

作　　者：梁周彤 唐文瀚 曾宁[2] 才其骧 韩鹏飞 张宇 权维俊 姚波 王普才[3] 刘志强 LIANG Zhoutong;TANG Wenhan;ZENG Ning;CAI Qixiang;HAN Pengfei;ZHANG Yu;QUAN Weijun;YAO Bo;WANG Pucai;LIU Zhiqiang(School of Atmospheric Sciences,Chengdu University of Information Technology,Chengdu 610225,China;State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics,Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029,China;Carbon Neutrality Research Center,Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029,China;Beijing-Tianjin-Hebei Environmental Weather Forecast and Early Warning Center,Beijing 100023,China;Institute of Atmospheric Sciences,Fudan University,Shanghai 200433,China)

机构地区：[1]成都信息工程大学大气科学学院,四川成都610225 [2]中国科学院大气物理研究所大气科学和地球流体力学数值模拟国家重点实验室,北京100029 [3]中国科学院大气物理研究所碳中和研究中心,北京100029 [4]京津冀环境气象预报预警中心,北京100023 [5]复旦大学大气科学研究院,上海200433

出　　处：《大气科学学报》2022年第3期387-396,共10页Transactions of Atmospheric Sciences

基　　金：国家重点研发计划项目(2017YFB0504000)。

摘　　要：在“双碳”目标背景下,从国家层面到地方层面,区域、城市、行业企业都在制定和实施双碳目标行动计划。CO_(2)模拟因其客观性和高时空分辨率等优势,在城市碳排放研究中深受重视。本研究以京津冀地区为研究区域,采用Picarro仪器高精度观测的2019—2020年CO_(2)数据,利用WRF模式进行CO_(2)传输模拟,分析了CO_(2)浓度变化的季节特征,评估了模式在城区中心、城郊及背景3个观测站点的模拟效果,并对边界层高度及化石燃料碳排放等可能影响CO_(2)浓度的因素进行了研究。3个观测站点分别为北京中国科学院大气物理研究所325 m气象塔观测站(北京站)、河北香河观测站(香河站)和上甸子区域本底观测站(上甸子站)。模拟结果表明:上甸子站优于香河站,香河站优于北京站,在冬季尤其明显;CO_(2)浓度的高值区主要分布在城区、电厂和工业区,尤其是唐山、石家庄和邯郸地区,大量交通、工业排放导致CO_(2)浓度明显上升,且高值区的范围在冬季最大;就日平均变化和日变化而言,边界层高度与CO_(2)浓度存在相反变化趋势;3个站点的化石燃料碳排放(FFECO_(2))与近地面总CO_(2)浓度存在正相关关系,冬春季的相关性高于夏秋季,且FFECO_(2)的占比从大到小依次为北京站、香河站、上甸子站;CO_(2)传输模拟的不确定性存在空间差异和季节变化。Under the background of “dual-carbon” goals,regional,urban and industrial enterprises are formulating and implementing the “dual-carbon” goals action plan from the national level to the local level.Because of its objectivity and high temporal and spatial resolution,CO_(2) simulation is deeply valued in the research of urban carbon emission.This paper took Beijing-Tianjin-Hebei region as the research area,used the high-precision CO_(2) data observed by Picarro instrument from 2019 tO_(2)020,used WRF model to simulate CO_(2) transmission,analyzed the seasonal characteristics of CO_(2) concentration change,evaluated the simulation effect of the model in the urban center,suburbs and background stations,and studied the factors that may affect CO_(2) concentration,such as planetary boundary layer height and fossil fuel carbon emission.The three observation stations are the 325 m meteorological tower observation station at Institute of Atmospheric Physics,Chinese Academy of Sciences (Beijing station),Hebei Xianghe observation station (Xianghe station) and Shangdianzi regional background observation station (Shangdianzi station).The simulation results show that:The effect of Shangdianzi station is better than that of Xianghe station,and the effect of Xianghe station is better than that of Beijing station,especially in winter.The high value areas of CO_(2) concentration are mainly distributed in urban areas,power plants and industrial areas,especially in Tangshan,Shijiazhuang and Handan areas.A large number of traffic and industrial emissions lead to a significant increase in CO_(2) concentration,and the range of high value area is the largest in winter.In terms of daily and diurnal variations,there is an opposite trend between the planetary boundary layer height and CO_(2) concentration.There is a positive correlation between fossil fuel carbon emissions (FFECO2) and total CO_(2) concentration near the surface at the three stations.The correlations in winter and spring are higher than that in summer and autumn,an

关 键 词：CO_(2)浓度 WRF模式 边界层高度 化石燃料碳排放 

分 类 号：X16[环境科学与工程—环境科学]