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Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds
Published on: September 26, 2017
Long-term drivers of increasing diurnal NO2 difference in representative cities of the Pearl River Delta
Ziyi Liu1, Hongli Li2, Yun Zhu1
1Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, College of Environment and Energy, South China University of Technology, Guangzhou Higher Education Mega Center, Guangzhou 510006, China.
Abstract:
The increasing diurnal difference of nitrogen dioxide (NO2) has a non-negligible promoting effect on the formation of next-day ozone and fine particulate matter. Therefore, a thorough analysis of the driving mechanisms behind this diurnal variation is crucial for achieving precise pollution control. Here, we investigate the long-term evolution of NO2 diurnal differences and their meteorological contributions in the Pearl River Delta (PRD) from 2014 to 2023. Three primary clusters are identified using K-means clustering: Cluster 1 represents regional background concentrations, Cluster 2 shows significant nighttime accumulation with a large diurnal difference, and Cluster 3 shows all-day high NO2 concentrations. The increasing trend in diurnal differences was mainly driven by the rising number of days classified as Clusters 2 and 1. Anthropogenic emission contributions to NO2 concentrations in the PRD decreased by 34.2 % from 2014 to 2023, reflecting the effectiveness of emission reduction measures. However, meteorological impacts vary significantly across clusters. In Cluster 1, meteorological conditions reduced NO2 concentrations by 4.4-11.0 μg/m3; in Cluster 2, contributions were positive in central cities but negative in surrounding cities; and in Cluster 3, conditions increased NO2 concentrations by 9.9-22.0 μg/m3. Boundary layer height, temperature, and atmospheric pressure were identified as key meteorological drivers of NO2 diurnal variation, with their contributions varying significantly across clusters, between pollution and non-pollution days, and at different times of the day. This study highlights the critical role of specific meteorological patterns in amplifying NO2 diurnal variation.