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CALPUFF 和 AERMOD 模型在近场的验证研究:重新审视马汀溪

CALPUFF and AERMOD model validation study in the near field: Martins Creek revisited.

机构信息

Division of Air Quality, New Jersey Department of Environmental Protection, Trenton, NJ 08625-0027, USA.

出版信息

J Air Waste Manag Assoc. 2011 Jun;61(6):647-59. doi: 10.3155/1047-3289.61.6.647.

DOI:10.3155/1047-3289.61.6.647
PMID:21751581
Abstract

This paper describes a near-field validation study involving the steady-state, U.S. Environmental Protection Agency (EPA) guideline model AERMOD and the nonsteady-state puff model CALPUFF. Relative model performance is compared with field measurements collected near Martins Creek, PA-a rural, hilly area along the Pennsylvania-New Jersey border. The principal emission sources in the study were two coal-fired power plants with tall stacks and buoyant plumes. Over 1 yr of sulfur dioxide measurements were collected at eight monitors located at or above the two power plants' stack tops. Concurrent meteorological data were available at two sites. Both sites collected data 10 m above the ground. One of the sites also collected sonic detection and ranging measurements up to 420 m above ground. The ability of the two models to predict monitored sulfur dioxide concentrations was assessed in a four-part model validation. Each part of the validation applied different criteria and statistics to provide a comprehensive evaluation of model performance. Because of their importance in regulatory applications, an emphasis was placed on statistics that demonstrate the model's ability to reproduce the upper end of the concentration distribution. On the basis of the combined results of the four-part validation (i.e., weight of evidence), the performance of CALPUFF was judged to be superior to that of AERMOD.

摘要

本文描述了一项针对稳态美国环保署(EPA)指南模型 AERMOD 和非稳态烟羽模型 CALPUFF 的近场验证研究。通过与在宾夕法尼亚州-新泽西州边界附近的马汀斯溪附近收集的现场测量值进行比较,评估了相对模型性能。研究中的主要排放源是两个带有高烟囱和浮力羽流的燃煤电厂。在 8 个监测器上收集了超过 1 年的二氧化硫测量值,这些监测器位于两个电厂烟囱顶部或其上方。同时还在两个站点提供了气象数据。两个站点都在地面以上 10 米处收集数据。其中一个站点还在地面以上 420 米处收集了声探测和测距测量数据。通过四部分模型验证评估了这两种模型预测监测到的二氧化硫浓度的能力。验证的每一部分都应用了不同的标准和统计数据,以提供对模型性能的全面评估。由于它们在监管应用中的重要性,重点放在了能够证明模型重现浓度分布上限的能力的统计数据上。基于四部分验证的综合结果(即证据权重),CALPUFF 的性能被判断优于 AERMOD。

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