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首页> 外文会议>Specialty Conference on Emission Inventory: Living in a Global Environment Vol.1 Dec 8-10, 1998, New Orleans, LA >Using Continuous Emission Monitoring Data for Air Quality Modeling Inventories
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Using Continuous Emission Monitoring Data for Air Quality Modeling Inventories

机译：使用连续排放监测数据进行空气质量建模清单

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摘要

The Continuous Emission Monitoring (CEM) data have attracted interest for potentially providing improved point-source emissions data for air quality models. Through the CEM program, NO_x and SO_2 data have been collected on an hourly basis since 1995, but several features of the data must be addressed before they can be useful for air quality modeling. These features include the large volume of data, the lack of stack parameters or coordinates, and the lack of common identifiers between the CEM data and emissions inventories used for modeling. This paper describes how some of these problems can be addressed and how the CEM data can be used to benefit emissions for air quality modeling. Several analyses are presented that compare the 1995 CEM data to the 1995 Ozone Transport Assessment Group (OTAG) inventory. Both the emissions magnitude and the temporal variation are compared. The CEM data are also used to evaluate seasonal versus monthly temporal profiles. These analyses are considered with respect to their possible impact on air quality modeling.
机译：连续排放监测（CEM）数据吸引了人们的兴趣，因为他们有可能为空气质量模型提供改进的点源排放数据。自1995年以来，通过CEM程序每小时都会收集一次NO_x和SO_2数据，但是必须先解决数据的一些功能，然后才能将其用于空气质量建模。这些功能包括大量数据，缺少堆栈参数或坐标以及CEM数据和用于建模的排放清单之间缺少通用标识符。本文介绍了如何解决其中的一些问题，以及如何使用CEM数据来改善空气质量模型的排放。提出了几种分析，将1995年的CEM数据与1995年的臭氧运输评估小组（OTAG）清单进行了比较。比较排放量和时间变化。 CEM数据还用于评估季节性和每月的时间分布。考虑这些分析对空气质量建模的可能影响。

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