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

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Weijiao Wang , Lin Zhang , Hongquan Song , Pengfei Liu , Feng Wang
{"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 ,&nbsp;Lin Zhang ,&nbsp;Hongquan Song ,&nbsp;Pengfei Liu ,&nbsp;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}
引用次数: 0

Abstract

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.
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
了解对流层臭氧污染形成的机制对于制定精确的污染预防和控制政策至关重要。然而,不同行业对臭氧生成的贡献尚未得到彻底阐明。本研究利用天气研究和预报与化学耦合模型(WRF-Chem),模拟了中国河南省在不同行业减排情景下臭氧浓度的时空变化。我们还量化了不同行业对臭氧浓度的贡献。不同情景下的年臭氧浓度存在显著的时空差异。在工业、电力和居民部门排放量为零的情景下,较高的臭氧浓度集中在河南省西南部地区,而较低的臭氧浓度则集中在东北部地区。相反,交通部门零排放情景下较高的臭氧浓度集中在西北部地区。总体而言,臭氧浓度在夏季达到峰值 50 ppb,其次是春季(20 ppb)和秋季(21 ppb),冬季浓度最低,为 11 ppb。电力行业对全年臭氧浓度的贡献最大,约为 -12 至 9 ppb,其次是住宅行业,而交通和工业行业对全年臭氧浓度的贡献最小。工业、电力和住宅部门对臭氧浓度的季节性贡献主要出现在春季,其次是夏季,而交通部门的贡献主要集中在夏季。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Ecological Indicators
Ecological Indicators 环境科学-环境科学
CiteScore
11.80
自引率
8.70%
发文量
1163
审稿时长
78 days
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信