成都地区空气湿度演变规律及其对空气质量的影响研究
Study on the Characteristics of Air Humidity and Its Effects on Air Quality in Chengdu
DOI: 10.12677/AEP.2020.104070, PDF,  被引量    国家科技经费支持
作者: 陈亚玲, 王 超*, 周艳艳, 刘思祺, 肖天贵, 文小航：成都信息工程大学大气科学学院，高原大气与环境四川省重点实验室，四川 成都
关键词: 相对湿度；绝对湿度；颗粒物浓度；污染潜势预报；Relative Humidity； Absolute Humidity； Particle Mass Concentration； Forecast of Pollution Potential
摘要: 为研究成都地区空气湿度的演变特征及对空气质量的影响情况，本文利用2014年成都地区温江站湿度、温度和PM10、PM2.5质量浓度的地面观测资料，分析研究了成都地区空气湿度和颗粒物浓度的不同时间尺度下的演变规律，并讨论了湿度对颗粒物浓度的影响作用，结果表明：成都地区总体上空气湿度较大，相对湿度主要集中于90%~100%，其标准差为16.3%；绝对湿度主要集中于5~10 g/m3，其标准差为5.07 g/m3，两类湿度参数在不同时间尺度的演变特征存在一定差异；利用冬季典型高、低PM2.5事件，分别对两类湿度进行分析，两类湿度对空气质量的影响并不一致，在雨季发生降水时，相对、绝对湿度越大，这时颗粒物浓度越小；而在降水偏少的冬季，相对、绝对湿度越大，越有利于颗粒物的吸湿增长，对空气质量反而不利。利用近年来更高时空分辨率的数值天气预报，结合本地不同季节空气湿度的特征，可作为空气污染潜势预报的参考依据。
Abstract: In order to study the characteristics of air relative humidity, absolute humidity and its effects on air quality in Chengdu, based on the ground observation data of relative humidity and temperature of Wenjiang station in Chengdu in 2014 and the mass concentration of PM10 and PM2.5 two kinds of particulate matter, the characteristics of air humidity and particulate matter concentration in Chengdu under different time scales were analyzed and studied, the effect of humidity on the concentration of particulate matter was discussed, and the results show that: The air humidity in Chengdu is relatively high, the relative humidity is mainly concentrated in 90% - 100%, and its standard deviation is 16.3%, with a large range of change, while the absolute humidity is mainly concentrated in 5 - 10 g/m3, the standard deviation is 5.07 g/m3, there are some differences in the evolution characteristics of the two kinds of humidity parameters under different time scales. By using the typical high and low PM2.5 events in winter, the effect of the two kinds of humidity on air quality is not consistent. When precipitation occurs during the rainy season, the greater the relative and absolute humidity is, the smaller the particle concentration will be; in the winter with less precipitation, the greater the relative and absolute humidity is, the more favorable the moisture absorption growth of particulate matter is, and the worse the air quality is. The numerical weather forecast with higher spatial and temporal resolution in recent years, combined with the characteristics of local air humidity in different seasons, can be used as a reference for the forecast of air pollution potential.
文章引用：陈亚玲, 王超, 周艳艳, 刘思祺, 肖天贵, 文小航. 成都地区空气湿度演变规律及其对空气质量的影响研究[J]. 环境保护前沿, 2020, 10(4): 569-576. https://doi.org/10.12677/AEP.2020.104070

参考文献

[1] 吴兑. 再论都市霾与雾的区别[J]. 气象, 2006, 32(4): 9-15.
[2] 杨军, 李子华, 黄世鸿. 相对湿度对大气气溶胶粒子短波辐射特性的影响[J]. 大气科学, 1999, 23(2): 239-247.
[3] 梁称福, 陈正法, 李文祥, 等. 广西贺州地区温室内空气湿度时空变化研究[J]. 中国农业气象, 2003, 24(4): 52-56.
[4] 王翠连, 张军, 郑瑶, 等. 郑州城区PM10、PM2.5质量浓度变化特征及其对气象因子的响应[J]. 环境保护科学, 2019, 45(6): 76-83.
[5] 刘凡, 谭钦文, 江霞, 等. 成都市冬季相对湿度对颗粒物浓度和大气能见度的影响[J]. 环境科学, 2018, 39(4): 1466-1472.
[6] 杨茜, 高阳华, 李振亮. 重庆市霾天气下大气能见度与颗粒污染物的关系[J]. 西南大学学报(自然科学版), 2019, 41(9): 134-140.
[7] Ahmed, H.A., Tong, Y.-X., Yang, Q.-C., et al. (2019) Spatial Distribution of Air Temperature and Relative Humidity in the Greenhouse as Affected by External Shading in Arid Climates. Journal of Integrative Agriculture, 18, 2869-2882.
[8] Poppendieck, D., Gong, M.Y. and Pham, V. (2020) Influence of Temperature, Rela-tive Humidity, and Water Saturation on Airborne Emissions from Cigarette Butts. The Science of the Total Environment, 712, Article ID: 136422. [Google Scholar] [CrossRef] [PubMed]
[9] Kuang, W.H. (2020) Seasonal Variation in Air Temperature and Relative Humidity on Building Areas and in Green Spaces in Beijing, China. Chinese Geographical Science, 30, 75-88. [Google Scholar] [CrossRef] 
[10] Matxalen, E.M., Lauren, E.I. and de Diego Margarita, L.G. (2020) Daily Dataset on Temperature and Relative Humidity in Two Traditional Basque Architectural Models Located in Lea River Valley. Data in Brief, 28, Article ID: 104940. [Google Scholar] [CrossRef] [PubMed]
[11] Liu, F., Tan, Q.W., Jiang, X., et al. (2019) Effects of Relative Humidity and PM2.5 Chemical Compositions on Visibility Impairment in Chengdu, China. Journal of Environmental Sciences, 86, 15-23. [Google Scholar] [CrossRef] [PubMed]
[12] 王超, 肖天贵, 罗琴, 等. 城市空气湿度变化特征及其对颗粒物浓度的影响[J]. 环境工程, 2018, 36(6): 116-121+127.
[13] 王誉洁, 黄天丽, 孙丰宾, 等. 冬季居住区不同功能绿地PM2.5浓度变化及其与气象因子的关系[J]. 西北林学院学报, 2019, 34(4): 239-245.
[14] 姚青, 蔡子颖, 韩素芹, 等. 天津冬季相对湿度对气溶胶浓度谱分布和大气能见度的影响[J]. 中国环境科学, 2014, 34(3): 596-603.
[15] 丁一汇, 柳艳菊. 近50年我国雾和霾的长期变化特征及其与大气湿度的关系[J]. 中国科学: 地球科学, 2014, 44(1): 37-48.
[16] 孟昭伟, 雷佩玉, 张同军, 等. 2015-2018年西安市两城区PM2.5质量浓度变化特征及气象影响因素[J]. 卫生研究, 2020, 49(1): 75-79+85.
[17] 张卓, 王维和, 王后茂, 等. 相对湿度对吸收性气溶胶指数的影响[J]. 遥感学报, 2019, 23(6): 1177-1185.
[18] 魏春璇, 黄鹤, 翟振芳, 等. 合肥市霾日气象要素特征分析及预报方法研究[J]. 大气与环境光学学报, 2019, 14(6): 419-430.