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Long-term meteorologically independent trend analysis of ozone air quality at an urban site in the greater Houston area

机译:大休斯顿地区城市地点臭氧空气质量的气象独立长期趋势分析

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摘要

The Houston-Galveston-Brazoria (HGB) area of Texas has a history of ozone exceedances and is currently classified under moderate nonattainment status for the 2008 8-hr ozone standard of 75 ppb. The HGB area is characterized by intense solar radiation, high temperature, and high humidity, which influence day-to-day variations in ozone concentrations. Long-term air quality trends independent of meteorological influence need to be constructed for ascertaining the effectiveness of air quality management in this area. The Kolmogorov-Zurbenko (KZ) filter technique, used to separate different scales of motion in a time series, is applied in the current study for maximum daily 8-hr (MDA8) ozone concentrations at an urban site (U.S. Environmental Protection Agency [EPA] Air Quality System [AQS] Site ID: 48-201-0024, Aldine) in the HGB area. This site, located within 10 miles of downtown Houston and the George Bush Intercontinental Airport, was selected for developing long-term meteorologically independent MDA8 ozone trends for the years 1990-2016. Results from this study indicate a consistent decrease in meteorologically independent MDA8 ozone between 2000 and 2016. This pattern could be partially attributed to a reduction in underlying nitrogen oxide (NO_X) emissions, particularly lowering nitrogen dioxide (NO_2) levels, and a decrease in the release of highly reactive volatile organic compounds (HRVOCs). Results also suggest solar radiation to be most strongly correlated to ozone, with temperature being the secondary meteorological control variable. Relative humidity and wind speed have tertiary influence at this site. This study observed that meteorological variability accounts for a high of 61% variability in baseline ozone (low-frequency component, sum of long-term and seasonal components), whereas 64% of the change in long-term MDA8 ozone post 2000 could be attributed to NO_X emission reduction. Long-term MDA8 ozone trend component was estimated to be decreasing at a linear rate of 0.412 ± 0.007 ppb/yr for the years 2000-2016 and 0.155 ± 0.005 ppb/yr for the overall period of 1990-2016. Implications: The effectiveness of air emission controls can be evaluated by developing long-term air quality trends independent of meteorological influences. The KZ filter technique is a well-established method to separate an air quality time series into short-term, seasonal, and long-term components. This paper applies the KZ filter technique to MDA8 ozone data between 1990 and 2016 at an urban site in the greater Houston area and estimates the variance accounted for by the primary meteorological control variables. Estimates for linear trends of MDA8 ozone are calculated and underlying causes are investigated to provide a guidance for further investigation into air quality management of the greater Houston area.
机译:得克萨斯州的休斯顿-加尔维斯顿-布拉索里亚(HGB)地区有超过臭氧的历史,目前按75 ppb的2008年8小时臭氧标准被列为中度未达标状态。 HGB地区的特点是强烈的太阳辐射,高温和高湿度,这会影响臭氧浓度的日常变化。需要确定独立于气象影响的长期空气质量趋势,以确定该地区空气质量管理的有效性。当前研究中,用于在时间序列中分离不同规模的运动的Kolmogorov-Zurbenko(KZ)过滤器技术被用于城市地区每天最大8小时(MDA8)臭氧浓度的研究(美国环境保护署[EPA] HGB地区的空气质量系统[AQS]站点ID:48-201-0024,Aldine)。该地点位于休斯顿市中心和乔治·布什洲际机场10英里范围内,被选为发展1990-2016年长期独立于气象的MDA8臭氧趋势的地区。这项研究的结果表明,在2000年至2016年之间,气象独立的MDA8臭氧含量持续下降。这种模式可能部分归因于基础氮氧化物(NO_X)排放量的减少,尤其是二氧化氮(NO_2)含量的降低,以及释放高反应性的挥发性有机化合物(HRVOC)。结果还表明,太阳辐射与臭氧最相关,温度是次要的气象控制变量。相对湿度和风速对该位置有三重影响。这项研究发现,气象变异性导致基准臭氧(低频成分,长期和季节性成分之和)的变异性高达61%,而2000年后长期MDA8臭氧变化的64%可以归因于减少NO_X排放量。长期MDA8臭氧趋势分量估计在2000-2016年期间以0.412±0.007 ppb / yr的线性速率下降,而在1990-2016年整个时期内以0.155±0.005 ppb / yr的线性速率下降。含义:可以通过建立不受气象影响的长期空气质量趋势来评估空气排放控制的有效性。 KZ过滤器技术是一种成熟的方法,可以将空气质量时间序列分为短期,季节性和长期组成部分。本文将KZ滤波技术应用于1990年至2016年大休斯顿地区城市地区的MDA8臭氧数据,并估算了主要气象控制变量所占的方差。计算了MDA8臭氧线性趋势的估计值,并对根本原因进行了调查,以为进一步研究大休斯顿地区的空气质量管理提供指导。

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  • 来源
    《Journal of the Air & Waste Management Association》 |2018年第10期|1051-1064|共14页
  • 作者单位

    Center for Energy & Environmental Sustainability, Prairie View A&M University, Prairie View, TX;

    Center for Energy & Environmental Sustainability, Prairie View A&M University, Prairie View, TX,Department of Civil & Environmental Engineering, Prairie View A&M University, Prairie View, TX;

    Center for Energy & Environmental Sustainability, Prairie View A&M University, Prairie View, TX,Department of Mechanical Engineering, Prairie View A&M University, Prairie View, TX;

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