摘要
利用2015年成都地区气温和臭氧的资料,分析了两者的年内变化特征,并结合日最大气温T_(max)和气温日较差d T的气温指标,研究了各季节内气温与臭氧的相互关系,并尝试运用T_(max)和d T构建了臭氧浓度气温单因子预测方法。结果表明:(1)成都地区臭氧污染主要集中在4-8月。(2)气温与臭氧浓度变化存在明显的正相关关系,且日最大气温T_(max)和气温日较差d T能够综合反映臭氧的年内变化,可作为臭氧预测的重要气温因子。(3)统计发现,T_(max)=25℃和气温日较差d T=7℃作为判定成都地区臭氧是否超标的气温阈值。(4)运用T_(max)和d T构建了3种臭氧浓度的气温单因子预测方法,预测相关系数分别为0.92、0.97和0.97,预测平均偏差分别为25.4、27.6、23.3μg/m3,预测效果较好。上述研究工作对成都地区臭氧预报方法的研究有重要参考价值。
Using ozone and temperature data of 2015 in Chengdu area,this paper analyses the variation characteristics of ozone concentration during the year 2015.Combining with the daily temperature maximum(T_(max) ) and diurnaltemperature difference(d T) ,this paper analyses the relationship between temperature and ozone in different seasons,andthe ozone concentration temperature prediction method has been built using variables T_(max) and d T.The results show that:(1) The month during which the ozone concentration is in higher period of yearis from April to August.(2) A strongly positive correlation between air temperature and ozone concentration has been found,andthe variables T_(max) and d T can be used be the important air temperature factorsin ozone forecast.(3) Statistically,T_(max) =25 ℃ and d T =7 ℃ are treated as the temperature threshold of ozoneexcessdeterminationin Chengdu area.(4) T_(max) and d T are used to construct the single factor prediction method of three kinds of ozone concentration.The correlation coefficients are 0.92,0.97 and 0.97 respectively,and the average deviation was25.4,27.6,23.3 μg/m3.The above research work is important for the study of ozone prediction methods in Chengdu area.
出处
《环境科学与技术》
CAS
CSCD
北大核心
2017年第S1期329-334,共6页
Environmental Science & Technology
基金
基金项目:大气污染天空地一体化实时监测技术应用示范研究(2016YFC0200405)
关键词
臭氧
日最大气温
气温日较差
臭氧预报
ozone
daily temperature maximum
diurnal temperature difference
ozoneprediction
