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author:

Wang, K. (Wang, K..) [1] | Zhao, R. (Zhao, R..) [2] | Wu, Q. (Wu, Q..) [3] | Li, J. (Li, J..) [4] | Wang, H. (Wang, H..) [5] | Lin, H. (Lin, H..) [6]

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Scopus

Abstract:

The circulation of tropical cyclones (TCs) exerts a multifaceted influence on the spatial and temporal distribution of surface pollutants. This study investigates the response of surface ozone (O3) concentration to the TCs in Fujian Province from June to December 2022 by analyzing the contributions of atmospheric pollutants, meteorological conditions, and dynamical transports. Empirical orthogonal function (EOF) decomposition methods are used to analyze the spatio-temporal distribution patterns of affected O3, and a Gradient Boosting Regression Trees (GBRT) machine learning model is employed to estimate surface O3 concentration, quantifying the influence of each factor. The results indicate an anomaly increase in O3 concentration during this period, with photochemistry-related meteorological conditions being the primary influencer, accounting for 66.9% of O3 variations, elucidating the interpretability of the GBRT model for attributing changes in O3 concentration. Low relative humidity and high temperature conditions have been identified as pivotal factors influencing the rise in O3 concentrations. The presence of TC undermines this predominant influence, amplifying the role of transport factors and other atmospheric pollutants. In the case studies of TC (Muifa and Nanmadol, 2022), the slow or stagnant TCs triggered persistent downdrafts in its periphery and brought favorable meteorological conditions such as clear sky and warm temperature for photochemistry. TCs also enhances the impact of horizontal and vertical dynamic transport on O3 concentrations. This work provides vital insights into the complex interplay between TCs and surface O3 concentrations, highlighting the need for targeted environmental and air quality management strategies in regions frequently impacted by TCs. © 2024 Turkish National Committee for Air Pollution Research and Control

Keyword:

Attribution analysis Gradient boosting regression trees Surface ozone concentration Tropical cyclone

Community:

  • [ 1 ] [Wang K.]Key Lab of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou University, 350108, China
  • [ 2 ] [Wang K.]National & Local Joint Engineering Research Center of Satellite Geospatial Information Technology, Fuzhou, 350108, China
  • [ 3 ] [Wang K.]The Academy of Digital China (Fujian), 350003, China
  • [ 4 ] [Zhao R.]Fujian Key Laboratory of Severe Weather, Fuzhou, 350007, China
  • [ 5 ] [Zhao R.]Key Laboratory of Straits Severe Weather China Meteorological Administration, Fuzhou, 350007, China
  • [ 6 ] [Wu Q.]Key Lab of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou University, 350108, China
  • [ 7 ] [Wu Q.]National & Local Joint Engineering Research Center of Satellite Geospatial Information Technology, Fuzhou, 350108, China
  • [ 8 ] [Wu Q.]The Academy of Digital China (Fujian), 350003, China
  • [ 9 ] [Li J.]Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites and Innovation Center for FengYun Meteorological Satellite (FYSIC), National Satellite Meteorological Center (National Center for Space Weather), China Meteorological Administration, Beijing, 100081, China
  • [ 10 ] [Wang H.]Fujian Key Laboratory of Severe Weather, Fuzhou, 350007, China
  • [ 11 ] [Wang H.]Key Laboratory of Straits Severe Weather China Meteorological Administration, Fuzhou, 350007, China
  • [ 12 ] [Lin H.]Key Lab of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou University, 350108, China
  • [ 13 ] [Lin H.]National & Local Joint Engineering Research Center of Satellite Geospatial Information Technology, Fuzhou, 350108, China
  • [ 14 ] [Lin H.]The Academy of Digital China (Fujian), 350003, China

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Source :

Atmospheric Pollution Research

ISSN: 1309-1042

Year: 2024

Issue: 1

Volume: 16

3 . 9 0 0

JCR@2023

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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