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首页> 外文期刊>Journal of the air & waste management association >Evaluation of Relative Response Factor Methodology for Demonstrating Attainment of Ozone in Houston, Texas
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Evaluation of Relative Response Factor Methodology for Demonstrating Attainment of Ozone in Houston, Texas

机译:相对响应因子方法论在证明德克萨斯州休斯顿臭氧实现中的作用的评价

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In 2007, the U.S. Environmental Protection Agency (EPA) released guidance on demonstrating attainment of the federal ozone (O_3) standard. This guidance recommended a change in the use of air quality model (AQM) predictions from an absolute to a relative way. This was accomplished by using a ratio, and not the absolute difference of AQM O_3 predictions from a historical year to an attainment year. This ratio of O_3 concentrations, labeled the relative response factor (RRF), is multiplied by an average of observed concentrations at every monitor. In this analysis, whether the methodology used to calculate RRFs is severing the source-receptor relationship for a given monitor was investigated. Model predictions were generated with a regulatory AQM system used to support the 2004 Houston-Galveston-Brazoria State Implementation Plan. Following the procedures in the EPA guidance, an attainment demonstration was completed using regulatory AQM predictions and measurements from the Houston ground-monitoring network. Results show that the model predictions used for the RRF calculation were often based on model conditions that were geographically remote from observations and counter to wind flow. Many of the monitors used the same model predictions for an RRF, even if that O_3 plume did not impact it. The RRF methodology resulted in severing the true source-receptor relationship for a monitor. This analysis also showed thatrnmodel performance could influence RRF values, and values at monitoring sites appear to be sensitive to model bias. Results indicate an inverse linear correlation of RRFs with model bias at each monitor (R~2 = 0.47), resulting in a change in future O_3 design values up to 5 parts per billion (ppb). These results suggest that the application of RRF methodology in Houston, TX, should be changed from using all model predictions above 85 ppb to a method that removes any predictions that are not relevant to the observed source-receptor relationship.
机译:2007年,美国环境保护署(EPA)发布了有关证明达到联邦臭氧(O_3)标准的指南。本指南建议将空气质量模型(AQM)预测的使用方式从绝对方式更改为相对方式。这是通过使用比率而不是历史年份与成就年份的AQM O_3预测的绝对差来实现的。标记为相对响应因子(RRF)的O_3浓度比率乘以每台监视器观察到的浓度平均值。在此分析中,研究了用于计算RRF的方法是否切断了给定监视器的源-受体关系。使用可支持2004年休斯顿-加尔维斯顿-布拉索里亚州实施计划的AQM监管系统生成模型预测。按照EPA指南中的程序,使用监管的AQM预测和来自休斯敦地面监测网络的测量结果完成了成果演示。结果表明,用于RRF计算的模型预测通常基于在地理上远离观测值并且与风向相反的模型条件。即使O_3羽流不影响RRF,许多监视器也使用相同的RRF模型预测。 RRF方法导致切断了监视器的真实源-受体关系。该分析还表明,模型性能可能会影响RRF值,并且监视站点的值似乎对模型偏差敏感。结果表明,每台显示器的RRF与模型偏差呈反线性关系(R〜2 = 0.47),从而导致未来O_3设计值的变化最多达到十亿分之5(ppb)。这些结果表明,应将RRF方法在德克萨斯州休斯顿的应用从使用所有高于85 ppb的模型预测更改为删除与观察到的源-受体关系不相关的任何预测的方法。

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  • 来源
    《Journal of the air & waste management association 》 |2010年第7期| P.838-848| 共11页
  • 作者单位

    Department of Environmental Sciences and Engineering, University of North Carolina Gillings School of Global Public Health, CB No. 7431, Chapel Hill, NC 27599;

    rnICF International, Inc., Lexington, MA;

    rnGillings School of Global Public Health, University of North Carolina, Chapel Hill, NC;

    rnGillings School of Global Public Health, University of North Carolina, Chapel Hill, NC;

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