兰州主城臭氧污染特征及气象因子分析

doi:10.3969/j.issn.1673-503X.2019.02.007

Abstract

Abstract:

Based on the monitoring data from the four state-controlled stations of Lanlian Hotel,Biological Products Institute,Staff Hospital and Railway Design Institute from 2014 to 2017,this paper analyzed the time distribution characteristics of ozone concentration and the influence of meteorological indicators on ozone concentration over Lanzhou city.The optimal meteorological factor range was obtained by a genetic algorithm to predict the excessive O_{3_8h} concentration.The results show that from 2014 to 2017,the higher ozone pollution over the main city of Lanzhou mainly occurs in the period of April to August during which a high value ranges between 14:00 to 16:00 every day.The meteorological factors that play a leading role in the change of ozone concentration are the net surface solar radiation,height of boundary layer,2 m temperature,westerly wind,relative humidity and vertical velocity at 850 hPa.The range of the optimal meteorological factors obtained by the genetic algorithm is used to identify whether the meteorological conditions are in a high-impact state.At time when the meteorological conditions are in a high-impact state,the probability of O_{3_8h} exceeding the standard value (O_{3_8h} greater than 160 ug·m^-3) at the next time is 42.31%,and the probability of O_{3_8h} exceeding 130 ug·m^-3 is 99.04%.In contrast,at the time when the meteorological conditions are in a low-impact state,the probability of O_{3_8h} not exceeding the standard at the next time is 99.87%.Therefore,in the main city of Lanzhou,it is necessary to identify the future meteorological conditions first,and then manually control some major meteorological factors or control the concentration of ozone precursors before 09:00 to prevent the rapid rise of ozone concentration at 09:00-14:00 and prevent the ozone concentration from exceeding the standard level.

Key words: Ozone concentration, Meteorological factors, Correlation analysis, Genetic algorithm

CLC Number:

X515

CHEN Pei-zhang, CHEN Dao-jin. Analysis of ozone pollution characteristics and meteorological factors over Lanzhou city[J]. Journal of Meteorology and Environment, 2019, 35(2): 46-54.

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http://www.jme1984.net.cn/EN/Y2019/V35/I2/46

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Analysis of ozone pollution characteristics and meteorological factors over Lanzhou city

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