Weijiao Wang , Lin Zhang , Hongquan Song , Pengfei Liu , Feng Wang
{"title":"多部门人为前体排放对对流层臭氧浓度的贡献:中国河南省案例研究","authors":"Weijiao Wang , Lin Zhang , Hongquan Song , Pengfei Liu , Feng Wang","doi":"10.1016/j.ecolind.2024.112873","DOIUrl":null,"url":null,"abstract":"<div><div>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, power, and residential sectors were primarily observed in spring, followed by summer, whereas the transportation sector’s contribution was mainly concentrated in summer.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"169 ","pages":"Article 112873"},"PeriodicalIF":7.0000,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Contribution of the anthropogenic precursor emission from multiple sectors to the tropospheric ozone concentrations: A case study in Henan Province, China\",\"authors\":\"Weijiao Wang , Lin Zhang , Hongquan Song , Pengfei Liu , Feng Wang\",\"doi\":\"10.1016/j.ecolind.2024.112873\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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, power, and residential sectors were primarily observed in spring, followed by summer, whereas the transportation sector’s contribution was mainly concentrated in summer.</div></div>\",\"PeriodicalId\":11459,\"journal\":{\"name\":\"Ecological Indicators\",\"volume\":\"169 \",\"pages\":\"Article 112873\"},\"PeriodicalIF\":7.0000,\"publicationDate\":\"2024-11-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecological Indicators\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1470160X2401330X\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Indicators","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1470160X2401330X","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Contribution of the anthropogenic precursor emission from multiple sectors to the tropospheric ozone concentrations: A case study in Henan Province, China
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, power, and residential sectors were primarily observed in spring, followed by summer, whereas the transportation sector’s contribution was mainly concentrated in summer.
期刊介绍:
The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published.
• All aspects of ecological and environmental indicators and indices.
• New indicators, and new approaches and methods for indicator development, testing and use.
• Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources.
• Analysis and research of resource, system- and scale-specific indicators.
• Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs.
• How research indicators can be transformed into direct application for management purposes.
• Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators.
• Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.