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作 者:许丹[1] 钟敏文 Xu Dan;Zhong Mingwen(Guizhou Climate Center;Guiyang Environmental Air Quality Forecast Center,Guiyang 550002)
机构地区:[1]贵州省气候中心 [2]贵阳市环境空气质量预测预报中心,贵阳550002
出 处:《环保科技》2019年第6期34-37,共4页Environmental Protection and Technology
基 金:贵州省城市臭氧成因及防控措施研究(黔环科[2017]11号)
摘 要:为了揭示贵州城市近地面臭氧浓度与气象因子的关系,尝试进行近地面臭氧浓度的统计学预报。通过对2015、2016年贵州主要城市近地面臭氧浓度和平均温度、平均相对湿度的相关分析,建立了一种简便、实用的三变量相关点聚图预报臭氧浓度的方法。结果表明:贵州城市臭氧最大8小时浓度和日平均温度呈正相关,和日最低相对湿度呈负相关;制作了贵州主要城市O3-8与日最高气温和日最低相对湿度三变量相关预报点聚图,贵州主要城市O3-8浓度高值区都出现在温度高湿度低的区域,而当湿度高于85%时O3-8浓度高值不太可能出现;贵州省森林覆盖率越高的城市,高浓度臭氧出现得越多。in order to reveal the relationship of urban ozone concentration with meteorological actors in Guizhou,a statistical prediction of surface ozone concentration was attempted. Based on the correlation analysis of ozone concentration and mean temperature and minimum relative humidity in urban of Guizhou Province in 2015 and 2016,a simple and practical method for predicting ozone concentration by three-variable correlation plot was established. The results showed: the maximum 8-hour ozone concentration was positively correlated with the daily mean temperature,and negatively correlated with the daily minimum relative humidity. The high values of 8-hour ozone concentration in urban of Guizhou appear in the regions with high temperature and low humidity. However,when the humidity is higher than 85%,the high concentration of 8-hour ozone concentration is not likely to occur. The study also found that the higher the forest cover in Guizhou,the more high ozone appeared.
分 类 号:X823[环境科学与工程—环境工程]
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