The Lagging Effect of Precipitation on NAIs Concentrations on Rainy Days in Wuyi Mountain National Park, China

被引:3
|
作者
Xie, Ziyang [1 ,2 ]
Li, Changshun [1 ,3 ]
Lin, Yan [3 ]
Liu, Jinfu [1 ,2 ]
He, Zhongsheng [1 ,2 ]
机构
[1] Fujian Agr & Forestry Univ, Coll Forestry, Fuzhou 350002, Peoples R China
[2] Key Lab Fujian Univ Ecol & Resource Stat, Fuzhou 350002, Peoples R China
[3] Fujian Meteorol Serv Ctr, Fuzhou 350001, Peoples R China
基金
中国国家自然科学基金;
关键词
negative air ions (NAIs); rainy days; non-rainy days; random forest (RF) model; Wuyi Mountain National Park; NEGATIVE AIR IONS; EXPOSURE; INDOOR;
D O I
10.3390/atmos14020377
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Precipitation (PRE) is an essential factor that affects the negative air ions (NAIs) concentrations. However, the mechanism of NAIs concentrations and their influencing factors on rainy and non-rainy days remains unclear. Here, we used hourly data of NAIs concentrations and meteorological data in 2019 to analyze the distribution of NAIs concentrations and its influencing factors on rainy and non-rainy days in the Wuyi Mountain National Park (WMNP) of China, which was listed as a World Cultural and Natural Heritage Site in 1999. The results indicated that the NAIs concentrations on rainy days were significantly higher than on non-rainy days. However, the NAIs concentrations on rainy days were slightly higher than on the first and second days after rainy days. Then, the NAIs concentrations were significantly reduced on the third day and after that. Thus, rainy days lead to a 2-day lag in the smooth reduction of NAIs on non-rainy days after rainy days. NAIs concentrations were significantly correlated with the relative humidity (RHU) on both rainy and non-rainy days. By analyzing the meteorological factors on NAIs for ranking the feature importance scores on rainy and non-rainy days, PRE was ranked first on rainy days, and sea level pressure (PRS_Sea) and temperature (TEM) were ranked first and second on non-rainy days, respectively. Based on the univariate linear regression model (ULRM), NAIs concentrations responded strongly (higher absolute slope values) to RHU on rainy days and to pressure (PRS), visibility (VIS), water vapor pressure (VAP), TEM, and ground surface temperature (GST) on non-rainy days. The results highlight the importance of PRE in the lag time of NAIs concentrations on rainy and non-rainy days.
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页数:13
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