| 不同区域城市空气O3和PM2.5累积速率时序模型 |
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| 引用本文： | 宗昕,王帅,吴蔚,李晓瑞,马德高,李礼,程继雄,余佳伟,郑淏,任振科.不同区域城市空气O3和PM2.5累积速率时序模型[J].中国环境监测,2020,36(6):80-88. |
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| 作者姓名： | 宗昕 王帅 吴蔚 李晓瑞 马德高 李礼 程继雄 余佳伟 郑淏 任振科 |
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| 作者单位： | 四川沐萱环境监测科技有限公司, 四川 眉山 610011;辽宁省沈阳生态环境监测中心, 辽宁 沈阳 110169;江苏省无锡环境监测中心, 江苏 无锡 214000;山西省生态环境监测中心, 山西 太原 030000;江苏省扬州环境监测中心, 江苏 扬州 225007;重庆文理学院化学与环境工程学院, 环境材料与修复技术重庆市重点实验室, 重庆 402160;湖北省生态环境监测中心, 湖北 武汉 430072;厦门市排污权中心, 福建 厦门 362000;陕西省环境监测中心站, 陕西 西安 710000;河北省石家庄生态环境监测中心, 河北 石家庄 050000 |
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| 基金项目： | 国家重点研发计划大气污染成因与控制技术研究专项辽宁中部城市群大气污染联防联控技术集成与应用示范项目"区域环境空气质量立体监测预警业务化体系建设"（2017YFC0212501） |
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| 摘 要： | 利用2017—2018年全国7个区域10个典型城市环境空气O3和PM2.5浓度数据,统计污染物累积速率,进而采用回归方法拟合污染物浓度及其累积速率的时间序列模型,分析不同区域污染物时序变化特征差异。结果表明：不同区域O3浓度时序曲线拟合程度总体高于PM2.5,石家庄O3拟合程度最高,西安PM2.5拟合程度最高。以07：00、14：00分别作为O3、PM2.5模拟起点是24 h中的最优模型。不同城市夏季O3小时浓度时序变化曲线均为单峰形态,O3浓度及累积速率峰值出现时间可能由城市所处经度决定,太原O3累积最快,西安O3消解最快。各城市间冬季PM2.5小时浓度及其累积速率时序变化曲线形态差异较大,沈阳PM2.5累积和消解均最快。与浓度相比,城市环境空气O3和PM2.5累积速率与光照、扩散条件等有更好的时间相关性。
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| 关 键 词： | 城市间 O3 PM2.5 累积速率 时间序列 |
| 收稿时间： | 2020/5/7 0:00:00 |
| 修稿时间： | 2020/8/4 0:00:00 |
Time Series Model of O3 and PM2.5 Accumulation Rate in Urban Air of Different Regions of China |
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| ZONG Xin,WANG Shuai,WU Wei,LI Xiaorui,MA Degao,LI Li,CHENG Jixiong,YU Jiawei,ZHENG Hao,REN Zhenke.Time Series Model of O3 and PM2.5 Accumulation Rate in Urban Air of Different Regions of China[J].Environmental Monitoring in China,2020,36(6):80-88. |
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| Authors: | ZONG Xin WANG Shuai WU Wei LI Xiaorui MA Degao LI Li CHENG Jixiong YU Jiawei ZHENG Hao REN Zhenke |
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| Institution: | Musa Environment Monitoring Technology Co Ltd of Sichuan, Meishan 610011, China;Shenyang Ecological Environment Monitoring Center of Liaoning Province, Shenyang 110169, China;Wuxi Ecological Environment Monitoring Center of Jiangsu Province, Wuxi 214000, China;Shanxi Ecological and Environmental Monitoring Center, Taiyuan 030000, China;Yangzhou Environment Monitoring Center of Jiangsu Province, Yangzhou 225007, China;Chongqing Key Laboratory of Environmental Materials & Remediation Technologies, College of Chemistry and Environmental Engineering, Chongqing University of Arts and Sciences, Chongqing 402160, China;Ecological Environment Monitoring Center of Hubei Province, Wuhan 430072, China;Xiamen Pollutant Emission Management Center, Xiamen 362000, China;Shanxi Environmental Monitoring Center, Xi''an 710000, China; Shijiazhuang Ecological Environment Monitoring Center of Heibei Province, Shijiazhuang 050000, China |
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| Abstract: | Based on the data of O3and PM2.5 concentration in 10 typical cities in 7 regions of China from 2017 to 2018,the pollutant accumulation rate is calculated,and then the time series model of pollutant concentration and its accumulation rate is fitted by regression method,to analyze the variation characteristics of pollutant time series in different regions.The results show that the fitting degree of O3 concentration time series curve in different regions is higher than that of PM2.5,the fitting degree of O3 in Shijiazhuang is the highest,and that of PM2.5 in Xi''an is the highest.Taking 07:00 and 14:00 as the simulation starting points of O3 and PM2.5 respectively,it is the best model in 24 hours.The time series curves of O3 hourly concentration in different cities in summer are all single peak.The occurrence time of O3 concentration and accumulation rate peak may be determined by the longitude of the city.Taiyuan has the fastest O3 accumulation and Xi''an has the fastest digestion.The time series curves of PM2.5 concentration and its cumulative rate vary greatly among cities in winter,and Shenyang PM2.5 accumulation and digestion are the fastest.Compared with the concentration of O3 and PM2.5,the accumulation rate of O3 and PM2.5 in urban ambient air has better time correlation with light and diffusion conditions. |
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| Keywords: | intercity ozone fine particulate matter cumulative rate time series |
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