生态环境学报2025，Vol.34Issue(4)：534-547,14.DOI:10.16258/j.cnki.1674-5906.2025.04.004
2019-2023年粤港澳大湾区NO2浓度变化的自然主控因子解析
Analysis of the Natural Dominant Factors Driving NO2 Concentration Changes in the Guangdong-Hong Kong-Macao Greater Bay Area from 2019 to 2023
摘要
Abstract
To investigate the recent changes in NO2 column concentrations and their natural dominant factors in the Guangdong-Hong Kong-Macao Greater Bay Area(GBA),this study utilized near real-time tropospheric NO2 column concentration data(NRTI/L3_NO2)provided by the Sentinel-5P atmospheric monitoring satellite,along with meteorological data,NDVI data,and land surface temperature data.Methods such as Sen's trend analysis,Mann-Kendall tests,geographical detector models,and the Geographically and Temporally Weighted Regression(GTWR)model were employed to analyze the spatiotemporal variations and natural driving mechanisms of NO2 column concentrations in GBA from 2019 to 2023.The main findings are as follows:1)At the annual scale,NO2 column concentrations peaked in 2021 and were lowest in 2020.Seasonally,the concentrations were the highest in winter and the lowest in summer.Spatially,a"high in the center and low in the periphery was observed.2)Sen's trend analysis indicated an increasing trend in NO2 concentrations in areas such as the Guangzhou-Foshan border,western Shenzhen,and Zhaoqing,while decreasing trends were observed in Zhuhai,Jiangmen,Macao,and parts of Zhongshan.The Mann-Kendall test results showed that significant increases were mainly concentrated in northern Guangzhou and Zhaoqing,while other areas exhibited minimal changes,although seasonal differences were pronounced.3)The geographical detector analysis revealed that wind speed,temperature,humidity,and air pressure were the primary explanatory factors,whereas precipitation and solar radiation had weaker effects.The interaction between humidity and wind speed,as well as between humidity and temperature,was the most significant,with nonlinear enhancement effects primarily reflected in interactions involving air pressure,precipitation,and other factors.4)The GTWR model analysis showed that wind speed,temperature,and land surface temperature had positive impacts on NO2 concentrations,particularly in Guangzhou-Foshan and Shenzhen.Conversely,air pressure,humidity,and NDVI have negative effects,particularly in Jiangmen and Zhuhai.The effects of precipitation and solar radiation are more complex,with significant spatial variations.This study provides insights into the natural driving mechanisms of NO2 pollution and its spatiotemporal variations in the GBA over the past five years,offering valuable support for the formulation of targeted air quality management and pollution control strategies.关键词
NO2柱浓度/时空变化特征/谷歌地球引擎(GEE云平台)/影响因素/粤港澳大湾区Key words
NO2 column concentration/temporal and spatial change characteristics/Google Earth Engine(GEE Cloud platform)/Influencing factors/Guangdong-Hong Kong-Macao Greater Bay Area分类
环境科学引用本文复制引用
郭铭彬,龚建周,王丽娟,王时宽..2019-2023年粤港澳大湾区NO2浓度变化的自然主控因子解析[J].生态环境学报,2025,34(4):534-547,14.基金项目
国家自然科学基金重点资助项目(4243000531) （4243000531）
广东乡村地域系统野外科学观测研究站(2021B1212050026) （2021B1212050026）
