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Development of a model to assess the effect of ozone on public health using models-3/CMAQ.

机译:使用模型3 / CMAQ开发评估臭氧对公共健康影响的模型。

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摘要

According to the Clean Air Act, the establishment of priorities in air pollution control should be based on benefits to public health and welfare. In this context, a computer model called ORAM (Ozone Risk Assessment Model) was developed to evaluate the health-effects caused by ground-level ozone exposure. ORAM was coupled with Models-3/CMAQ the EPA state-of-art air quality model that produces the ozone concentration and allows the examination of various scenarios in which emission rates of ozone precursors (basically NOx and VOC) are varied. Given that ozone is a local and regional problem, ORAM allows the health evaluation for local, regional and continental scales. The principal analyses in ORAM are: exposure model performance evaluation, health-effects calculations (expected number of respiratory hospital admission), economic valuation, sensitivity and uncertainty analysis through a Monte Carlo simulation. To demonstrate the system's effectiveness, ORAM was applied to the East Tennessee region, and the entire ozone season was simulated for a base case (actual, typical emissions) and three different emission scenarios using an available hospital admission database. The results indicated that a synergism occurs when NOx emissions from mobile (50%) and point sources (70%) were simultaneously reduced. A 19% in reduction on hospital admission for respiratory diseases occurs when both mobile and point sources NOx emissions are reduced versus 8% due to mobile source and 7% due to point sources when these source's emissions are applied single. ORAM system has the flexibility to easily incorporate other health-endpoints such as mortality and minor restrictive activity days (MRAD), and also other pollutants such as particulate matter and other gases. Finally, because the equations in ORAM are for short-term effects (daily variation), the system developed can be used in a forecasting mode as a complementary tool in the ozone action programs such as Spare the Air or Ozone Action Days.
机译:根据《清洁空气法》,确定空气污染控制的优先事项应基于对公共健康和福利的好处。在这种情况下,开发了一种称为ORAM(臭氧风险评估模型)的计算机模型,以评估由地面臭氧暴露引起的健康影响。 ORAM与Models-3 / CMAQ(EPA最先进的空气质量模型)结合使用,该模型可产生臭氧浓度并允许检查各种臭氧前体(基本为NOx和VOC)排放速率变化的情况。鉴于臭氧是一个局部和区域性问题,ORAM允许对局部,区域和大陆规模进行健康评估。 ORAM中的主要分析是:暴露模型性能评估,健康影响计算(预期的呼吸道医院入院人数),经济评估,通过蒙特卡洛模拟进行的敏感性和不确定性分析。为了证明该系统的有效性,将ORAM应用于东田纳西州地区,并使用可用的住院数据库对一个基本案例(实际排放量,典型排放量)和三种不同排放情景模拟了整个臭氧季节。结果表明,当同时减少移动设备(50%)和点源(70%)的NOx排放时,就会产生协同作用。当移动源和点源的NOx排放均减少时,减少了19%的呼吸道疾病住院率;而一次使用这些源时,则减少了8%(源于移动源)和7%(因点源)。 ORAM系统具有灵活性,可以轻松地纳入其他健康指标,例如死亡率和次要限制性活动日(MRAD),以及其他污染物,例如颗粒物和其他气体。最后,由于ORAM中的方程式是针对短期影响(每日变化)的,因此开发的系统可以在预测模式下用作臭氧行动计划(如“空运或臭氧行动日”)中的补充工具。

著录项

  • 作者

    Sanhueza H., Pedro A.;

  • 作者单位

    The University of Tennessee.;

  • 授予单位 The University of Tennessee.;
  • 学科 Engineering Environmental.; Health Sciences Public Health.
  • 学位 Ph.D.
  • 年度 2002
  • 页码 325 p.
  • 总页数 325
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 环境污染及其防治;预防医学、卫生学;
  • 关键词

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