首页> 外文会议>Measurement of toxic and related air pollutants >Can selected RADM simulations be aggregated to estimate annual concentratioons of fine particulate matter?
【24h】

Can selected RADM simulations be aggregated to estimate annual concentratioons of fine particulate matter?

机译:是否可以汇总所选的RADM模拟以估算细颗粒物的年度浓度?

获取原文
获取原文并翻译 | 示例

摘要

Ambient air concentratios of fine particulate matter are an issue of increasing concern for the U.S. Environmental Protection Agency. Accordingly, the Clean Air Act and the Amendments of 1990, call for an assessment of past and future regulations to protect both health and visibility. Unfortunately, our most reliable toods for assessing long-term air quality change, Eulerian models, challenge the practical limits of current computer resorces and require extensive input data. To reduce the resource requirement, an aggretation method, initially developed for RADM (Regional Acid Deposition Model) acid-deposition applications,m is currently being appied to a limitied number (thirty) of RADM simulations in order to provide estimates of long-term (annual) ambient air concentrations of fine particulate matter. This paper briefly examines this aggregation technique, its application to fine particulate matter, and the suitability of the original thirty RADM simulations.
机译:细颗粒物的环境空气浓度是美国环境保护署日益关注的一个问题。因此,《清洁空气法》和1990年修正案要求对过去和将来的法规进行评估,以保护健康和能见度。不幸的是,我们用于评估长期空气质量变化的最可靠的脚趾,欧拉模型,挑战了当前计算机资源的实际限制,并需要大量的输入数据。为了减少资源需求,最初为RADM(区域酸沉积模型)酸沉积应用开发的一种强化方法,目前正应用于有限数量(三十个)的RADM模拟中,以提供长期(年度)环境空气中的细颗粒物浓度。本文简要地研究了这种聚集技术,其在细颗粒物上的应用以及最初的30种RADM模拟的适用性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号