Contribution of the anthropogenic precursor emission from multiple sectors to the tropospheric ozone concentrations: A case study in Henan Province, China

被引:0
|
作者
Wang, Weijiao [1 ,2 ]
Zhang, Lin [2 ,3 ]
Song, Hongquan [1 ,2 ]
Liu, Pengfei [4 ]
Wang, Feng [5 ]
机构
[1] Henan Key Laboratory of Air Pollution Control and Ecological Security, Henan University, Kaifeng,475004, China
[2] Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng,475004, China
[3] Institute of Urban Big Data, College of Geography and Environmental Science, Henan University, Kaifeng,475004, China
[4] Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization of Henan Province, Henan University, Kaifeng,475004, China
[5] School of Software, Henan University, Kaifeng,475004, China
关键词
Understanding the mechanisms behind tropospheric ozone pollution formation is crucial for developing precise pollution prevention and control policies. However; the contribution of different sectors to ozone generation has not been thoroughly elucidated. Utilizing the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem); this study simulated the spatiotemporal variations of ozone concentrations in Henan Province of China under different sectoral emission reduction scenarios. We also quantified the contribution of different sectors to ozone concentrations. Significant spatiotemporal disparities were observed in annual ozone concentrations across different scenarios. Higher ozone concentrations in scenarios where emissions were zeroed out from the industrial; power; and residential sectors were concentrated in the southwestern region of Henan province; while lower ozone concentrations were concentrated in the northeastern region. Conversely; higher ozone concentrations in the transportation sector zero-out scenario were concentrated in the northwestern region. Overall; ozone concentrations peaked at 50 ppb in summer; followed by spring (20 ppb) and autumn (21 ppb); with the lowest concentrations of 11 ppb observed in winter. The power sector was found to contribute the most to yearly ozone concentrations was about −12 to 9 ppb; followed by the residential sector; while the transportation and industrial sectors made the least contributions. Seasonal contributions to ozone concentrations from the industrial; and residential sectors were primarily observed in spring; followed by summer; whereas the transportation sector's contribution was mainly concentrated in summer. © 2024 The Author(s);
D O I
10.1016/j.ecolind.2024.112873
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 40 条
  • [31] Health benefits from the reduction of PM2.5 concentrations under carbon tax and emission trading scheme: a case study in China
    Chen, Shuyang
    Wang, Can
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (13) : 36631 - 36645
  • [32] Health benefits from the reduction of PM2.5 concentrations under carbon tax and emission trading scheme: a case study in China
    Shuyang Chen
    Can Wang
    Environmental Science and Pollution Research, 2023, 30 : 36631 - 36645
  • [33] Quantify the role of anthropogenic emission and meteorology on air pollution using machine learning approach: A case study of PM2.5 during the COVID-19 outbreak in Hubei Province, China
    Liu, Hongwei
    Yue, Fange
    Xie, Zhouqing
    ENVIRONMENTAL POLLUTION, 2022, 300
  • [34] Application of multiple sediment fingerprinting techniques to determine the sediment source contribution of gully erosion: Review and case study from Boushehr province, southwestern Iran
    Samani, A. Nazari
    Wasson, R. J.
    Malekian, Arash
    PROGRESS IN PHYSICAL GEOGRAPHY-EARTH AND ENVIRONMENT, 2011, 35 (03): : 375 - 391
  • [35] Dynamic Energy Use Efficiency, Carbon Input, and Agricultural Benefits of Multiple Cropping in Southern China-A Case Study from Guangdong Province
    Zhang, Tantan
    Deng, Siying
    Li, Yanhong
    Qing, Bowen
    Li, Wu
    Mo, Zhaowen
    AGRICULTURE-BASEL, 2024, 14 (04):
  • [36] RECOVERY OF THE CARBON MONOXIDE PRODUCT FROM S5P-TROPOMI BY FUSING MULTIPLE DATASETS: A CASE STUDY IN HUBEI PROVINCE, CHINA
    Wang, Yuan
    Yuan, Qiangqiang
    Xiao, Ruixue
    Li, Tongwen
    Zhang, Liangpei
    IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2020, : 5529 - 5532
  • [37] Evaluation of Fengyun-3C Soil Moisture Products Using In-Situ Data from the Chinese Automatic Soil Moisture Observation Stations: A Case Study in Henan Province, China
    Zhu, Yongchao
    Li, Xuan
    Pearson, Simon
    Wu, Dongli
    Sun, Ruijing
    Johnson, Sarah
    Wheeler, James
    Fang, Shibo
    WATER, 2019, 11 (02):
  • [38] Distinct responses of urban and rural O3 pollution with secondary particle changes to anthropogenic emission reductions: Insights from a case study over North China
    Luo, Yuehan
    Zhao, Tianliang
    Meng, Kai
    Zhang, Lei
    Wu, Ming
    Bai, Yongqing
    Kumar, Kanike Raghavendra
    Cheng, Xinghong
    Yang, Qingjian
    Liang, Dingyuan
    SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 950
  • [39] A two-phase factorial input-output model for analyzing CO2-emission reduction pathway and strategy from multiple perspectives - A case study of Fujian province
    Wang, G. Y.
    Li, Y. P.
    Liu, J.
    Huang, G. H.
    Chen, L. R.
    Yang, Y. J.
    Gao, P. P.
    ENERGY, 2022, 248
  • [40] Groundwater Source Discrimination and Proportion Determination of Mine Inflow Using Ion Analyses: A Case Study from the Longmen Coal Mine, Henan Province, China; [Differenzierung der Grundwasserherkunft und Bestimmung des Anteils der Bergwässer mittels Ionenanalyse. Eine Fallstudie von der Longmen Kohlengrube in der Provinz Henan in China]; [Discriminación de la fuente de agua subterránea y determianción de la proporción de influjo de agua utilizando análisis de iones — Un caso de estudio en la mina de carbón Longmen, provincia de Henan, China]
    Xu Z.
    Sun Y.
    Gao S.
    Zhao X.
    Duan R.
    Yao M.
    Liu Q.
    Mine Water and the Environment, 2018, 37 (2) : 385 - 392