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西安近地面臭氧浓度特征及关键气象因子分析 被引量:16

Analysis of ozone concentration characteristics and key meteorological factors in Xi’an
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摘要 文中利用2014~2019年西安市国控点环境污染监测数据和同时期气象数据,采用回归分析方法,重点研究西安市O_(3)浓度的时空分布特征和影响O_(3)浓度的气象因子,分析O_(3)浓度与温度、相对湿度、日照及风速的相关性,确定O_(3)浓度超标的关键气象因子阈值,结果表明:1)西安近5年O_(3)污染为上升趋势且O_(3)浓度高值持续时间延长发展态势。O_(3)月平均浓度呈明显的夏季高冬季低特点,日内夜间和清晨O_(3)浓度较低,午间O_(3)浓度较高。2)受高耗能工业企业分布影响,西安O_(3)的空间分布呈现明显的自北向南、自西向东逐渐降低的分布特征。3)气象要素中气温、日照与O_(3)浓度呈显著正相关关系,相对湿度与O_(3)浓度显著负相关,温度和湿度是引起O_(3)超标的关键气象因子,高温、低湿有利于O_(3)生成,当温度高于30℃、相对湿度低于60%时,容易出现高浓度O_(3)现象。 In this paper,environmental pollution monitoring data from national control points in Xi’an and meteorological data from January 2014 to December 2019 were used to study the temporal and spatial distribution characteristics of the O_(3)concentration.Moreover,the meteorological factors that affect the O_(3)concentration were assessed by using the regression analysis method,and the threshold values of key meteorological factors that affect the O_(3)concentration were determined.The results show that:1)In the past five years,the O_(3)pollution in Xi’an has presented an obvious increasing trend,and the duration of high O_(3)concentrations has been prolonged.The monthly and daily changes of O_(3)concentration were all obvious,and the monthly average concentration of O_(3)was higher in summer and lower in winter.Over a day,the O_(3)concentration was lower at night and in the morning and higher at noon.2)Influenced by the distribution of high energy consuming industrial enterprises,the spatial distribution of O_(3)in Xi’an showed obvious distribution characteristics of gradually decreasing from north to south and from west to east.3)Significant positive correlations were observed between the O_(3)concentration and temperature and sunshine,while a significant negative correlation was observed between the O_(3)concentration and relative humidity.Temperature and humidity were the key meteorological factors that affect the O_(3)concentration.When the temperature was higher than 30℃and the relative humidity was lower than 60%,a high concentration of O_(3)appeared more frequently.
作者 胡琳 程路 王琦 胡淑兰 林扬 HU Lin;CHENG Lu;WANG Qi;HU Shulan;LIN Yang(Shaanxi Provincial Climate Center,Xi’an 710014,China;Meteorological Institute of Shaanxi Province,Xi’an 710014,China)
出处 《干旱区资源与环境》 CSSCI CSCD 北大核心 2021年第6期102-109,共8页 Journal of Arid Land Resources and Environment
基金 中国气象局气候变化专项(CCSF201938)资助。
关键词 O_(3)浓度 变化特征 关键气象因子 回归分析 西安市 O_(3)concentration atmospheric pollutant key meteorological factors air pollution Xi’an
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