The Lagging Effect of Precipitation on NAIs Concentrations on Rainy Days in Wuyi Mountain National Park, China
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 20...
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MDPI AG
2023-02-01
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author | Ziyang Xie Changshun Li Yan Lin Jinfu Liu Zhongsheng He |
author_facet | Ziyang Xie Changshun Li Yan Lin Jinfu Liu Zhongsheng He |
author_sort | Ziyang Xie |
collection | DOAJ |
description | 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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spelling | doaj.art-0b9700bafe4c4f7d8ad11ef03e34b80c2023-11-16T19:04:00ZengMDPI AGAtmosphere2073-44332023-02-0114237710.3390/atmos14020377The Lagging Effect of Precipitation on NAIs Concentrations on Rainy Days in Wuyi Mountain National Park, ChinaZiyang Xie0Changshun Li1Yan Lin2Jinfu Liu3Zhongsheng He4College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, ChinaCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, ChinaFujian Meteorological Service Center, Fuzhou 350001, ChinaCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, ChinaCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, ChinaPrecipitation (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.https://www.mdpi.com/2073-4433/14/2/377negative air ions (NAIs)rainy daysnon-rainy daysrandom forest (RF) modelWuyi Mountain National Park |
spellingShingle | Ziyang Xie Changshun Li Yan Lin Jinfu Liu Zhongsheng He The Lagging Effect of Precipitation on NAIs Concentrations on Rainy Days in Wuyi Mountain National Park, China Atmosphere negative air ions (NAIs) rainy days non-rainy days random forest (RF) model Wuyi Mountain National Park |
title | The Lagging Effect of Precipitation on NAIs Concentrations on Rainy Days in Wuyi Mountain National Park, China |
title_full | The Lagging Effect of Precipitation on NAIs Concentrations on Rainy Days in Wuyi Mountain National Park, China |
title_fullStr | The Lagging Effect of Precipitation on NAIs Concentrations on Rainy Days in Wuyi Mountain National Park, China |
title_full_unstemmed | The Lagging Effect of Precipitation on NAIs Concentrations on Rainy Days in Wuyi Mountain National Park, China |
title_short | The Lagging Effect of Precipitation on NAIs Concentrations on Rainy Days in Wuyi Mountain National Park, China |
title_sort | lagging effect of precipitation on nais concentrations on rainy days in wuyi mountain national park china |
topic | negative air ions (NAIs) rainy days non-rainy days random forest (RF) model Wuyi Mountain National Park |
url | https://www.mdpi.com/2073-4433/14/2/377 |
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