• 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

应用地质统计学方法预测德克萨斯州休斯顿夏季臭氧的时空分布。

Application of geostatistical approaches to predict the spatio-temporal distribution of summer ozone in Houston, Texas.

机构信息

Research Applications Laboratory, National Center for Atmospheric Research, Boulder, CO, USA.

Atmospheric Chemistry Observations and Modeling Laboratory, National Center for Atmospheric Research, Boulder, CO, USA.

出版信息

J Expo Sci Environ Epidemiol. 2019 Oct;29(6):806-820. doi: 10.1038/s41370-018-0091-4. Epub 2018 Nov 19.

DOI:10.1038/s41370-018-0091-4
PMID:30451934
Abstract

Mitigation of adverse effects of air pollution requires understanding underlying exposures, such as ambient ozone concentrations. Geostatistical approaches were employed to analyze temporal trends and estimate spatial patterns of summertime ozone concentrations for Houston, Texas, based on hourly ozone observations obtained from the Texas Commission on Environmental Quality. We systematically assess the accuracy of several spatial interpolation methods, comparing inverse distance weighting, simple kriging, ordinary kriging, and universal kriging methods utilizing the hourly ozone observations and meteorological measurements from monitoring sites. Model uncertainty was assessed by leave-one-out cross-validation. Kriging methods performed better, showing greater consistency in the generated surfaces, fewer interpolation errors, and lower biases. Universal kriging did not significantly improve the interpolation results compared to ordinary kriging, and thus ordinary kriging was determined to be the optimal method, striking a balance between accuracy and simplicity. The resulting spatial patterns indicate that the more industrialized areas east and northeast of Houston exhibit the highest summertime ozone concentrations. Estimated daily maximum 8 h ozone concentration fields generated will be used to inform research on population health risks from exposure to surface ozone in Houston.

摘要

减轻空气污染的不利影响需要了解潜在的暴露情况,例如环境臭氧浓度。本研究运用地统计学方法,基于得克萨斯州环境质量委员会获得的每小时臭氧观测值,分析了德克萨斯州休斯顿市夏季臭氧浓度的时间趋势,并对其空间分布进行了估算。我们系统地评估了几种空间插值方法的准确性,比较了反距离权重法、简单克里金法、普通克里金法和泛克里金法,这些方法利用了监测站点的每小时臭氧观测值和气象测量值。通过留一交叉验证评估了模型不确定性。克里金法的表现更好,生成的曲面更一致,插值误差更少,偏差更低。与普通克里金法相比,泛克里金法并没有显著改善插值结果,因此普通克里金法被确定为最优方法,在准确性和简单性之间取得了平衡。生成的空间模式表明,休斯顿市东部和东北部工业化程度较高的地区夏季臭氧浓度最高。生成的估计日最大 8 小时臭氧浓度场将用于告知休斯顿市因接触地面臭氧而导致的人群健康风险研究。

相似文献

1
Application of geostatistical approaches to predict the spatio-temporal distribution of summer ozone in Houston, Texas.应用地质统计学方法预测德克萨斯州休斯顿夏季臭氧的时空分布。
J Expo Sci Environ Epidemiol. 2019 Oct;29(6):806-820. doi: 10.1038/s41370-018-0091-4. Epub 2018 Nov 19.
2
Spatiotemporal modeling of ozone levels in Quebec (Canada): a comparison of kriging, land-use regression (LUR), and combined Bayesian maximum entropy-LUR approaches.加拿大魁北克省臭氧水平的时空建模:克里金法、土地利用回归(LUR)以及贝叶斯最大熵-LUR组合方法的比较
Environ Health Perspect. 2014 Sep;122(9):970-6. doi: 10.1289/ehp.1306566. Epub 2014 May 30.
3
Meteorological detrending of long-term (2003-2017) ozone and precursor concentrations at three sites in the Houston Ship Channel Region.休斯顿航道地区三个站点的长期(2003-2017 年)臭氧和前体物浓度的气象去趋势分析。
J Air Waste Manag Assoc. 2020 Jan;70(1):93-107. doi: 10.1080/10962247.2019.1694088. Epub 2019 Dec 6.
4
Comparative evaluation of methods for estimating potential human exposure to ozone: photochemical modeling and ambient monitoring.估算人类潜在臭氧暴露量方法的比较评估:光化学建模与环境监测
J Expo Anal Environ Epidemiol. 1997 Apr-Jun;7(2):191-215.
5
Comparison of spatiotemporal prediction models of daily exposure of individuals to ambient nitrogen dioxide and ozone in Montreal, Canada.加拿大蒙特利尔市个体每日环境二氧化氮和臭氧暴露的时空预测模型比较
Environ Res. 2017 Jul;156:201-230. doi: 10.1016/j.envres.2017.03.017. Epub 2017 Mar 28.
6
Simulation of average monthly ozone exposure concentrations in China: A temporal and spatial estimation method.中国平均月臭氧暴露浓度模拟:一种时空估算方法。
Environ Res. 2021 Aug;199:111271. doi: 10.1016/j.envres.2021.111271. Epub 2021 May 16.
7
Spatial-Temporal Distribution Variation of Ground-Level Ozone in China's Pearl River Delta Metropolitan Region.中国珠江三角洲城市群地区近地面臭氧时空分布变化。
Int J Environ Res Public Health. 2021 Jan 20;18(3):872. doi: 10.3390/ijerph18030872.
8
Spatial modeling of daily concentrations of ground-level ozone in Montreal, Canada: A comparison of geostatistical approaches.加拿大蒙特利尔地区地面臭氧日浓度的空间建模:地统计学方法比较。
Environ Res. 2018 Oct;166:487-496. doi: 10.1016/j.envres.2018.06.036. Epub 2018 Jun 26.
9
An assessment of air pollutant exposure methods in Mexico City, Mexico.墨西哥城空气污染暴露方法评估
J Air Waste Manag Assoc. 2015 May;65(5):581-91. doi: 10.1080/10962247.2015.1020974.
10
Geospatial interpolation and mapping of tropospheric ozone pollution using geostatistics.利用地统计学进行对流层臭氧污染的地理空间插值与制图。
Int J Environ Res Public Health. 2014 Jan 10;11(1):983-1000. doi: 10.3390/ijerph110100983.

引用本文的文献

1
Internal Cumulated Dose of Toxic Metal(loid)s in a Population Residing near Naturally Occurring Radioactive Material Waste Stacks and an Industrial Heavily Polluted Area with High Mortality Rates in Spain.西班牙一个居住在天然放射性物质废料堆附近以及一个工业重度污染且死亡率高的地区的人群中有毒金属(类金属)的体内累积剂量。
J Xenobiot. 2025 Feb 8;15(1):29. doi: 10.3390/jox15010029.
2
Air pollution impacts of COVID-19-related containment measures.与新冠疫情相关的防控措施对空气污染的影响。
Sci Adv. 2021 May 21;7(21). doi: 10.1126/sciadv.abe1178. Print 2021 May.
3
A Case-Crossover Analysis of Indoor Heat Exposure on Mortality and Hospitalizations among the Elderly in Houston, Texas.
德克萨斯州休斯顿市老年人因室内热暴露导致的死亡和住院的病例交叉分析。
Environ Health Perspect. 2020 Dec;128(12):127007. doi: 10.1289/EHP6340. Epub 2020 Dec 10.