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Evaluation of emission control strategies to reduce ozone pollution in the Paso del Norte region using a photochemical air quality modeling system.

机译:使用光化学空气质量建模系统评估减少北帕索地区臭氧排放的排放控制策略。

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摘要

Air pollution emissions control strategies to reduce ozone precursor pollutants are analyzed by applying a photochemical modeling system. Simulations of air quality conditions during an ozone episode which occurred in June, 2006 are undertaken by increasing or reducing area source emissions in Ciudad Juárez, Chihuahua, Mexico.;Two air pollutants are primary drivers in the formation of tropospheric ozone. Oxides of nitrogen (NOx) and volatile organic compounds (VOC) undergo multiple chemical reactions under favorable meteorological conditions to form ozone, which is a secondary pollutant that irritates respiratory systems in sensitive individuals especially the elderly and young children. The U.S. Environmental Protection Agency established National Ambient Air Quality Standards (NAAQS) to limit ambient air pollutants such as ozone by establishing an 8-hour average concentration of 0.075 ppm as the threshold at which a violation of the standard occurs.;Ozone forms primarily due reactions in the troposphere of NOx and VOC emissions generated primarily by anthropogenic sources in urban regions. Data from emissions inventories indicate area sources account for ∼15 of NOx and ∼45% of regional VOC emissions. Area sources include gasoline stations, automotive paint bodyshops and nonroad mobile sources. Multiplicity of air pollution emissions sources provides an opportunity to investigate and potentially implement air quality improvement strategies to reduce emissions which contribute to elevated ozone concentrations.;A baseline modeling scenario was established using the CAMx photochemical air quality model from which a series of sensitivity analyses for evaluating air quality control strategies were conducted. Modifications to area source emissions were made by varying NOx and / or VOC emissions in the areas of particular interest. Model performance was assessed for each sensitivity analysis. Normalized bias (NB) and normalized error (NE) were used to identify variability of the PREDICTED to OBSERVED ozone concentrations of both BASELINE model and simulations with modified emissions assessed by the sensitivity analysis. All simulations were found to vary within acceptable ranges of these two criteria variables.;Simulation results indicate ozone formation in the PdN region is VOC-limited. Under VOC-limited conditions, modifications to NOx emissions do not produce a marked increase or decrease in ozone concentrations. Modifications to VOC emissions generated the highest variability in ozone concentrations. Increasing VOC emissions by 75% produced results which minimized model bias and error when comparing PREDICTED and OBSERVED ozone concentrations. Increasing VOC emissions by 75% either alone or in combination with a 75% increase in NOx emissions generated PREDICTED ozone concentrations very near to OBSERVED ozone.;By evaluating the changes in ambient ozone concentrations through photochemical modeling, air quality planners may identify the most efficient or effective VOC emissions control strategies for area sources. Among the strategies to achieve emissions reductions are installation of gasoline vapor recovery systems, replacing high-pressure low-volume surface coating paint spray guns with high-volume low-pressure spray paint guns, requiring emissions control booths for surface coating operations as well as undertaking solvent management practices, requiring the sale of low VOC paint solvents in the surface-coating industry, and requiring low-VOC solvents in the dry cleaning industry. Other strategies to reduce VOC emissions include initiating Eco-Driving strategies to reduce fuel consumption from mobile sources and minimize vehicle idling at the international ports of entry by reducing bridge wait times.;This dissertation depicts a tool for evaluating impacts of emissions on regional air quality by addressing the highly unresolved fugitive emissions in the Paso del Norte region. It provides a protocol for decision makers to assess the effects of various emission control strategies in the region. Impacts of specific source categories such as the international ports of entry, gasoline stations, paint body shops, truck stops, and military installations on the regional air quality can be easily and systematically addressed in a timely manner in the future.
机译:通过应用光化学模型系统分析了减少臭氧前体污染物的空气污染排放控制策略。通过增加或减少墨西哥奇瓦瓦州华雷斯城的区域源排放量,对2006年6月发生的臭氧事件期间的空气质量状况进行了模拟。两种空气污染物是对流层臭氧形成的主要驱动力。氮(NOx)和挥发性有机化合物(VOC)的氧化物在有利的气象条件下会发生多种化学反应,形成臭氧,这是一种次要污染物,会刺激敏感个体尤其是老年人和小孩的呼吸系统。美国环境保护局制定了国家环境空气质量标准(NAAQS),通过将8小时平均浓度设定为0.075 ppm作为违反标准的阈值来限制臭氧等环境空气污染物;主要由于臭氧形成对流层中NOx和VOC排放的反应主要是由城市地区的人为来源产生的。排放清单中的数据表明,区域排放源约占NOx的15%,占区域VOC排放的约45%。区域排放源包括加油站,汽车喷漆车间和非道路移动源。空气污染排放源的多样性为调查和潜在地实施改善空气质量的战略以减少导致臭氧浓度升高的排放提供了机会。使用CAMx光化学空气质量模型建立了基线建模方案,从中可以进行一系列敏感性分析评估空气质量控制策略。通过改变特定关注领域中的NOx和/或VOC排放量来修改区域源排放量。对每个敏感性分析评估模型性能。使用归一化偏差(NB)和归一化误差(NE)来确定BASELINE模型和通过敏感性分析评估的修正排放量模拟的预测臭氧浓度与观测值之间的差异。发现所有模拟在这两个标准变量的可接受范围内变化。模拟结果表明PdN区域中的臭氧形成受到VOC限制。在VOC限制的条件下,对NOx排放量的修改不会导致臭氧浓度显着增加或降低。挥发性有机化合物排放量的变化产生了最大的臭氧浓度变化。将VOC排放量增加75%,可在比较预期和观察到的臭氧浓度时最大程度地减少模型偏差和误差。单独或与将NOx排放增加75%一起使VOC排放增加75%时,产生的预测臭氧浓度非常接近可观察到的臭氧。;通过光化学模型评估环境臭氧浓度的变化,空气质量计划人员可以确定最有效的方法。或针对区域源的有效VOC排放控制策略。减少排放的策略之一是安装汽油蒸气回收系统,用大容量低压喷漆枪取代高压低容量表面喷漆枪,并要求在排放控制间进行表面喷涂操作以及进行溶剂管理实践,要求在表面涂料行业中销售低VOC涂料溶剂,并在干洗行业中要求低VOC溶剂。其他减少VOC排放的策略还包括启动生态驾驶策略,以减少流动源的燃料消耗,并通过减少桥梁等待时间来减少国际入境口岸的车辆空转。;本文描述了一种评估排放对区域空气质量影响的工具。解决北帕索(Paso del Norte)地区高度尚未解决的逃逸排放问题。它为决策者提供了一个协议,以评估该地区各种排放控制策略的效果。将来可以轻松,系统地解决国际入境口岸,加油站,车身修理厂,卡车停靠站和军事设施等特定来源类别对区域空气质量的影响。

著录项

  • 作者

    Valenzuela, Victor Hugo.;

  • 作者单位

    The University of Texas at El Paso.;

  • 授予单位 The University of Texas at El Paso.;
  • 学科 Atmospheric Sciences.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 357 p.
  • 总页数 357
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 语言学;
  • 关键词

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