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两种扩散模型(AERMOD和ISCST3)对农村地面区域源输入参数的敏感性。

Sensitivity of two dispersion models (AERMOD and ISCST3) to input parameters for a rural ground-level area source.

作者信息

Faulkner William B, Shaw Bryan W, Grosch Tom

机构信息

Department of Biological and Agricultural Engineering, Texas A&M University, College Station, TX 77843-2117, USA.

出版信息

J Air Waste Manag Assoc. 2008 Oct;58(10):1288-96.

PMID:18939775
Abstract

As of December 2006, the American Meteorological Society/U.S. Environmental Protection Agency (EPA) Regulatory Model with Plume Rise Model Enhancements (AERMOD-PRIME; hereafter AERMOD) replaced the Industrial Source Complex Short Term Version 3 (ISCST3) as the EPA-preferred regulatory model. The change from ISCST3 to AERMOD will affect Prevention of Significant Deterioration (PSD) increment consumption as well as permit compliance in states where regulatory agencies limit property line concentrations using modeling analysis. Because of differences in model formulation and the treatment of terrain features, one cannot predict a priori whether ISCST3 or AERMOD will predict higher or lower pollutant concentrations downwind of a source. The objectives of this paper were to determine the sensitivity of AERMOD to various inputs and compare the highest downwind concentrations from a ground-level area source (GLAS) predicted by AERMOD to those predicted by ISCST3. Concentrations predicted using ISCST3 were sensitive to changes in wind speed, temperature, solar radiation (as it affects stability class), and mixing heights below 160 m. Surface roughness also affected downwind concentrations predicted by ISCST3. AERMOD was sensitive to changes in albedo, surface roughness, wind speed, temperature, and cloud cover. Bowen ratio did not affect the results from AERMOD. These results demonstrate AERMOD's sensitivity to small changes in wind speed and surface roughness. When AERMOD is used to determine property line concentrations, small changes in these variables may affect the distance within which concentration limits are exceeded by several hundred meters.

摘要

截至2006年12月,美国气象学会/美国环境保护局(EPA)的带有烟羽抬升模型增强版的监管模型(AERMOD-PRIME,以下简称AERMOD)取代了工业源复杂短期版本3(ISCST3),成为EPA首选的监管模型。从ISCST3到AERMOD的转变将影响防止重大恶化(PSD)增量消耗,以及在监管机构使用模型分析限制边界浓度的州的许可合规情况。由于模型公式和地形特征处理方式的差异,无法事先预测ISCST3还是AERMOD会预测源下游更高或更低的污染物浓度。本文的目的是确定AERMOD对各种输入的敏感性,并将AERMOD预测的地面区域源(GLAS)的最高下游浓度与ISCST3预测的浓度进行比较。使用ISCST3预测的浓度对风速、温度、太阳辐射(因为它影响稳定度等级)以及160米以下的混合高度的变化敏感。地表粗糙度也影响ISCST3预测的下游浓度。AERMOD对反照率、地表粗糙度、风速、温度和云量的变化敏感。鲍恩比不影响AERMOD的结果。这些结果证明了AERMOD对风速和地表粗糙度微小变化的敏感性。当使用AERMOD确定边界浓度时,这些变量的微小变化可能会影响超过浓度限值的距离达几百米。

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