• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

气象条件和季节对泰国春武里地表臭氧的影响。

The Influence of Meteorological Conditions and Seasons on Surface Ozone in Chonburi, Thailand.

作者信息

Kawichai Sawaeng, Kliengchuay Wissanupong, Aung Htoo Wai, Niampradit Sarima, Mingkhwan Rachaneekorn, Niemmanee Talisa, Srimanus Wechapraan, Phonphan Walaiporn, Suwanmanee San, Tantrakarnapa Kraichat

机构信息

Research Institute for Health Sciences (RIHES), Chiang Mai University, Chiang Mai 50200, Thailand.

Department of Social and Environmental Medicine, Faculty of Tropical Medicine, Mahidol University, Bangkok 10400, Thailand.

出版信息

Toxics. 2025 Mar 19;13(3):226. doi: 10.3390/toxics13030226.

DOI:10.3390/toxics13030226
PMID:40137553
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11946029/
Abstract

This study aims to examine the relationship between meteorological factors, specifically temperature, solar radiation, and ozone concentration levels. Levels of surface ozone were monitored (O) in Chonburi, Thailand (located at 3.2017° N, 101.2524° E), from January 2010 to December 2020. Thailand's coastal tropical environment provided a unique setting for the study. The study revealed a distinctive seasonal trend in ozone levels, with the highest concentrations occurring during the winter and the lowest in the rainy season, on average. The increase of O in the summer was primarily attributed to intense ground-level solar radiation and higher temperatures of around 30-35 °C, enhancing O concentrations ranging from 200 to 1400. During the winter, there is an increased elimination of the O concentration by higher levels of NO. The study also examined the relationship between ozone levels and various meteorological factors to identify which had the most significant impact on ozone formation. The analysis showed that the ozone concentration has a strong negative correlation with relative humidity but is positively correlated with solar radiation, temperature, and wind speed.

摘要

本研究旨在探讨气象因素之间的关系,特别是温度、太阳辐射和臭氧浓度水平。2010年1月至2020年12月期间,在泰国春武里(北纬3.2017°,东经101.2524°)监测了地表臭氧水平(O)。泰国沿海的热带环境为该研究提供了独特的背景。研究揭示了臭氧水平呈现出明显的季节性趋势,平均而言,冬季臭氧浓度最高,雨季最低。夏季O浓度的增加主要归因于强烈的地面太阳辐射以及约30 - 35°C的较高温度,使得O浓度在200至1400之间升高。在冬季,较高水平的NO增加了对O浓度的消除。该研究还考察了臭氧水平与各种气象因素之间的关系,以确定哪些因素对臭氧形成影响最为显著。分析表明,臭氧浓度与相对湿度呈强烈负相关,但与太阳辐射、温度和风速呈正相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/366f/11946029/6983c71a3caa/toxics-13-00226-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/366f/11946029/f35d1733faf3/toxics-13-00226-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/366f/11946029/68704264f7fa/toxics-13-00226-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/366f/11946029/4e43c55a5c2c/toxics-13-00226-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/366f/11946029/6ce7ea45ce9f/toxics-13-00226-g004a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/366f/11946029/ce0f5d3e3f10/toxics-13-00226-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/366f/11946029/967e2a738d83/toxics-13-00226-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/366f/11946029/d1caf1776843/toxics-13-00226-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/366f/11946029/5fccb54958ed/toxics-13-00226-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/366f/11946029/08e8707e4270/toxics-13-00226-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/366f/11946029/6983c71a3caa/toxics-13-00226-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/366f/11946029/f35d1733faf3/toxics-13-00226-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/366f/11946029/68704264f7fa/toxics-13-00226-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/366f/11946029/4e43c55a5c2c/toxics-13-00226-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/366f/11946029/6ce7ea45ce9f/toxics-13-00226-g004a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/366f/11946029/ce0f5d3e3f10/toxics-13-00226-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/366f/11946029/967e2a738d83/toxics-13-00226-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/366f/11946029/d1caf1776843/toxics-13-00226-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/366f/11946029/5fccb54958ed/toxics-13-00226-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/366f/11946029/08e8707e4270/toxics-13-00226-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/366f/11946029/6983c71a3caa/toxics-13-00226-g010.jpg

相似文献

1
The Influence of Meteorological Conditions and Seasons on Surface Ozone in Chonburi, Thailand.气象条件和季节对泰国春武里地表臭氧的影响。
Toxics. 2025 Mar 19;13(3):226. doi: 10.3390/toxics13030226.
2
Diurnal, seasonal and weekdays-weekends variations of ground level ozone concentrations in an urban area in greater Cairo.大开罗市区地面臭氧浓度的日变化、季节变化以及工作日-周末变化。
Environ Monit Assess. 2009 Feb;149(1-4):349-62. doi: 10.1007/s10661-008-0208-7. Epub 2008 Feb 15.
3
[Characteristics of Ozone Pollution and High-impact Meteorological Factors in Urban Cities: A Case of Suzhou].[城市臭氧污染特征及高影响气象因子:以苏州为例]
Huan Jing Ke Xue. 2023 Jan 8;44(1):85-93. doi: 10.13227/j.hjkx.202202191.
4
Decadal changes in surface ozone at the tropical station Thiruvananthapuram (8.542° N, 76.858° E), India: effects of anthropogenic activities and meteorological variability.印度热带站点特里凡得琅(8.542°N,76.858°E)的地表臭氧的十年变化:人为活动和气象变化的影响。
Environ Sci Pollut Res Int. 2018 May;25(15):14827-14843. doi: 10.1007/s11356-018-1695-x. Epub 2018 Mar 14.
5
Spatiotemporal covariability between air pollution and meteorological variables over Khyber Pakhtunkhwa, Pakistan.巴基斯坦开伯尔-普赫图赫瓦省空气污染与气象变量之间的时空协变性。
Environ Monit Assess. 2025 Mar 21;197(4):450. doi: 10.1007/s10661-025-13869-y.
6
[Impact of Meteorological Factors on the Ozone Pollution in Hong Kong].[气象因素对香港臭氧污染的影响]
Huan Jing Ke Xue. 2019 Jan 8;40(1):55-66. doi: 10.13227/j.hjkx.201803151.
7
[Impact of Meteorological Factors on Ozone Concentration in Four Typical Cities of Guangdong Based on Generalized Additive Model].基于广义相加模型的气象因素对广东四个典型城市臭氧浓度的影响
Huan Jing Ke Xue. 2025 Feb 8;46(2):746-754. doi: 10.13227/j.hjkx.202402121.
8
[Observation of atmospheric pollutants in the urban area of Beibei District, Chongqing].[重庆北碚城区大气污染物观测]
Huan Jing Ke Xue. 2014 Mar;35(3):820-9.
9
[Interactive Effects of the Influencing Factors on the Changes of O Concentrations Based on GAMs Model in Chengdu].[基于广义相加模型的成都市影响因素对O浓度变化的交互作用]
Huan Jing Ke Xue. 2021 Nov 8;42(11):5228-5238. doi: 10.13227/j.hjkx.202102056.
10
Effects of short-term exposure to air pollution on hospital admissions of young children for acute lower respiratory infections in Ho Chi Minh City, Vietnam.越南胡志明市短期暴露于空气污染对幼儿急性下呼吸道感染住院率的影响。
Res Rep Health Eff Inst. 2012 Jun(169):5-72; discussion 73-83.

本文引用的文献

1
[Characteristics of Ozone Concentration in Shanghai and Its Associated Atmospheric Circulation Background During Summer Half-years from 2006 to 2021].[2006年至2021年夏季半年上海臭氧浓度特征及其相关大气环流背景]
Huan Jing Ke Xue. 2024 Feb 8;45(2):645-654. doi: 10.13227/j.hjkx.202302043.
2
[Variations in Ozone Concentration in Seven Regions Under Different Temperature and Humidity Conditions].[不同温度和湿度条件下七个区域的臭氧浓度变化]
Huan Jing Ke Xue. 2023 Oct 8;44(10):5392-5399. doi: 10.13227/j.hjkx.202209266.
3
Study on the spatiotemporal dynamic of ground-level ozone concentrations on multiple scales across China during the blue sky protection campaign.
蓝天保卫战期间中国多尺度地面臭氧浓度时空动态研究
Environ Int. 2022 Dec;170:107606. doi: 10.1016/j.envint.2022.107606. Epub 2022 Nov 3.
4
Outpatient Department Visits and Mortality with Various Causes Attributable to Ambient Air Pollution in the Eastern Economic Corridor of Thailand.泰国东部经济走廊的大气污染与各种原因导致的门诊就诊和死亡率。
Int J Environ Res Public Health. 2022 Jun 23;19(13):7683. doi: 10.3390/ijerph19137683.
5
Factors determining the seasonal variation of ozone air quality in South Korea: Regional background versus domestic emission contributions.韩国臭氧空气质量季节性变化的决定因素:区域背景与国内排放贡献。
Environ Pollut. 2022 Sep 1;308:119645. doi: 10.1016/j.envpol.2022.119645. Epub 2022 Jun 16.
6
Spatio-temporal variation of ozone pollution risk and its influencing factors in China based on Geodetector and Geospatial models.基于地质探测器和地理空间模型的中国臭氧污染风险时空变化及其影响因素。
Chemosphere. 2022 Sep;302:134843. doi: 10.1016/j.chemosphere.2022.134843. Epub 2022 May 6.
7
Spatiotemporal variation of ozone pollution and health effects in China.中国臭氧污染与健康效应的时空变化。
Environ Sci Pollut Res Int. 2022 Aug;29(38):57808-57822. doi: 10.1007/s11356-022-19935-z. Epub 2022 Mar 30.
8
Modelling and investigating the impacts of climatic variables on ozone concentration in Malaysia using correlation analysis with random forest, decision tree regression, linear regression, and support vector regression.采用随机森林、决策树回归、线性回归和支持向量回归的相关性分析对马来西亚臭氧浓度的气候变量影响进行建模和研究。
Chemosphere. 2022 Jul;299:134250. doi: 10.1016/j.chemosphere.2022.134250. Epub 2022 Mar 19.
9
Responding to the COVID-19 second wave in Thailand by diversifying and adapting lessons from the first wave.应对泰国第二波 COVID-19 疫情:从第一波疫情中吸取经验,灵活调整。
BMJ Glob Health. 2021 Jul;6(7). doi: 10.1136/bmjgh-2021-006178.
10
Temporal and Spatial Features of the Correlation between PM and O Concentrations in China.中国 PM 和 O 浓度相关性的时空特征。
Int J Environ Res Public Health. 2019 Nov 30;16(23):4824. doi: 10.3390/ijerph16234824.