Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractDifferent responses of two maize cultivars to Spodoptera frugiperda (Lepidoptera: Noctuidae) larvae infestation provide insights into their differences in resistance    Next AbstractCarbonaceous resin capsule for vapor-phase monitoring of volatile hydrocarbons in soil: partitioning and kinetic model verification »

Huan Jing Ke Xue


Title:[Identification of Impacts from Meteorology and Local and Transported Photochemical Generation on Ozone Trends in Changsha from 2018 to 2020]
Author(s):Yang J; Yang LF; Ding H; Xie DP; Liu YY; Yu T; Lu M; Yuan ZB;
Address:"School of Environment and Energy, South China University of Technology, Guangzhou 510006, China. South China Center of Ecological Environmental Monitoring and Analysis (South China Sea Research Center of Ecological Environmental Monitoring and Evaluation), South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, China. Hunan Ecological and Environmental Monitoring Center, Changsha 410014, China"
Journal Title:Huan Jing Ke Xue
Year:2023
Volume:44
Issue:7
Page Number:3715 - 3723
DOI: 10.13227/j.hjkx.202207262
ISSN/ISBN:0250-3301 (Print) 0250-3301 (Linking)
Abstract:"Ozone (O(3)) pollution in Hunan province has become the most important factor among the six common conventional pollutants (i.e., NO(2), SO(2), CO, O(3), PM(10), and PM(2.5)) in the atmospheric environment. Further investigation has indicated that the relevant studies of O(3) are insufficient. Therefore, it is essential to clarify the key driving factors of O(3) variations for government regulators. In this study, a combined method consisting of a generalized additive model (GAM), empirical orthogonal function (EOF), and absolute principal component scores (APCs) model was employed to identify and quantify the impacts of meteorology and local photochemical generation (local) and that transported from outside (nonlocal) on O(3) variations from 2018-2020. Simultaneously, the driving factors of O(3) annual values from 2018 to 2019 and from 2019 to 2020 in Changsha were analyzed. The results showed that O(3) episodes were commonly caused by meteorology when the relative contribution from precursors was high, on the short-term time scale. Overall, on the temporal scale, meteorology and local were the driving factors for the increasing annual O(3) from 2018 to 2019. Additionally, the contribution from meteorology, local, and nonlocal decreased from 2019 to 2020, leading to a lower level of O(3) concentration in 2020. Geographically, the east, north, and south of Changsha were mainly affected by meteorology, local, and nonlocal, respectively. Throughout the three years, nonlocal exhibited a sustained decreasing trend, whereas the tendencies from meteorology and local varied by year and geography. Local contribution in the north of Changsha increased from 2018 to 2019, which was likely attributed to the increasing biogenic volatile organic compound emission (BVOCs), and it became lower in the south owing to the strengthened consumption by NO(x). Impacts from meteorology on O(3) in all sites were enhanced from 2018 to 2019. By contrast, local contribution decreased in the north and increased in the south with the decline in BVOC and NO(x) emissions from 2019 to 2020, when the meteorological impacts on O(3) in the whole area became weak"
Keywords:*Ozone Meteorology *Environmental Pollutants Environmental Pollution *Volatile Organic Compounds driving factors local impacts meteorological adjustment nonlocal ozone (O3);
Notes:"MedlineYang, Jun Yang, Lei-Feng Ding, Hua Xie, Dan-Ping Liu, Yan-Yan Yu, Tao Lu, Ming Yuan, Zi-Bing chi English Abstract China 2023/07/13 Huan Jing Ke Xue. 2023 Jul 8; 44(7):3715-3723. doi: 10.13227/j.hjkx.202207262"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 19-12-2024