Exploring the Sensitivity of Visibility to PM2.5 Mass Concentration and Relative Humidity for Different Aerosol Types
2022年3月1日·,,,,,,,,·
0 分钟阅读时长
Jiao Wang
Jianhui Wu
Baoshuang Liu
Xiaohuan Liu
Huiwang Gao
Yufen Zhang
Yinchang Feng
Suqin Han
宫响
摘要
Fine particle (PM2.5) mass concentration and relative humidity (RH) are the primary factors influencing atmospheric visibility. There are some studies focused on the complex, nonlinear relationships among visibility, PM2.5 concentration, and RH. However, the relative contribution of the two factors to visibility degradation, especially for different aerosol types, is difficult to quantify. In this study, the normalized forward sensitivity index method for identifying the dominant factors of visibility was used on the basis of the sensitivity of visibility to PM2.5 and RH changes. The visibility iation per unit of PM2.5 or RH was parameterized by derivation of the visibility multiiate function. The method was verified and evaluated based on 4453 valid hour data records in Tianjin, and visibility was identified as being in the RH-sensitive regime when RH was above 75%. In addition, the influence of aerosol chemical compositions on sensitivity of visibility to PM2.5 and RH changes was discussed by analyzing the characteristics of extinction components ((NH4)(2)SO4, NH4NO3, organic matter, and elemental carbon) measured in Tianjin, 2015. The result showed that the fitting equation of visibility, PM2.5, and RH, separately for different aerosol types, further improved the accuracy of the parameterization scheme for visibility in most cases.
类型
出版物
Atmosphere
Atmospheric Visibility
Chemical-Composition
China
Haze
Impact
Light Extinction
Scattering
Source Apportionment
Trends
Yangtze-River Delta
Authors
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Authors
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Authors
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副教授
中国海洋大学博士,博士后,现任数学系副主任兼应用数学教研室主任,青岛市人工智能海洋技术创新中心骨干,发表高水平论文40余篇,承担国家自然科学基金、国家博士后基金、青岛市博士后基金以及人工智能技术开发项目等10余项。多次获得“青岛科技大学先进工作者”、“青岛科技大学先进女职工”、青岛科技大学毕业生“我最喜爱的教师”等荣誉称号;指导本科生和研究生参加数学建模竞赛,获得省级以上奖项10余项;主持参与多项研究生和本科生课程教改项目。