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郑州市冬春季相对湿度和PM2.5的关系

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[目的]探究郑州市2019-2023年冬春季(11月至次年4月)PM2.5浓度与相对湿度的关系,为开展城市PM2.5监测和道路洒水作业提出建议.[方法]基于PM2.5浓度及湿度、风速、降水、气温等气象观测数据,在STATA软件中建立多元逻辑回归模型,设定参照组,分析PM2.5随相对湿度的变化趋势.[结果]2019-2023年冬春季郑州市PM2.5均值由72.41 μg/m3降为61.42 μg/m3,降幅为15.2%.在相对湿度低于80%时,随着相对湿度增大,PM2.5出现在较高浓度区间的概率也增大,且该结果具有统计显著性.[结论]空气中的水分会促进PM2.5前体物生成二次颗粒物,并导致细颗粒物吸水进而增加重量,但相对湿度过高时可能由于降雨冲刷而导致PM2.5浓度下降.建议在进行PM2.5监测时充分剔除湿度对测量值的影响,在道路洒水作业前也要全面考虑气象条件及大气污染状况.
The Relationship Between Relative Humidity(RH)and PM2.5 During Winter and Spring of Zhengzhou
[Purposes]By exploring the relationship between PM2.5 and RH during winter and spring(No-vember to April of the following year)of Zhengzhou from 2019 to 2023,suggestions for conducting PM2.5 monitoring and road watering operations were proposed.[Methods]Based on PM2.5 and meteorological data including RH,wind speed,precipitation,and temperature,the logistic multiple model was per-formed in STATA after setting the base group to analyze the trend of PM2.5 in accordance with RH.[Find-ings]The average concentration of PM2.5 reduced from 72.41μg/m3 to 61.42μg/m3,with a decrease of 15.2%.When RH was below 80%,the probability of PM2.5 falling in a larger concentration range in-creased with the growth of RH,which was of statistical significance.[Conclusions]Moisture in the air would cause PM2.5 precursors to form secondary particles and lead the fine particles to absorb water,which both contributed to the aggravation of air pollution.However,extremely high level of RH might re-sult in rainfall which would reduce PM2.5.It is suggested that the influence of RH should be fully elimi-nated during PM2.5 monitoring process,and meteorological conditions and air pollution conditions should be sufficiently considered before road watering operations.

Zhengzhourelative humidity(RH)PM2.5monitoring

张雯、白建伟、张宁、韦贞鸽、李俊杰

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郑州市生态环境局,河南 郑州,450007

郑州市生态环境监测和安全中心,河南 郑州,450007

河南省郑州生态环境监测中心,河南 郑州,450007

郑州 相对湿度(RH) PM2.5 监测

2024

河南科技
河南省科学技术信息研究院

河南科技

影响因子:0.615
ISSN:1003-5168
年,卷(期):2024.51(1)
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