An inversion algorithm for determining area-source emissions from downwind concentration measurements.

M Lehning, D R Shonnard, D P Chang, R L Bell
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引用次数: 40

Abstract

Measuring emissions from nonuniform area sources, such as waste repository sites, has been a difficult problem. A simple but reliable method is not available. An objective method of inverting downwind concentration measurements, utilizing an assumed form of atmospheric dispersion to reconstruct total emission rate and distribution, is described in this study. The Gaussian dispersion model is compared to a more realistic model based on K-theory and similarity expressions. A sensitivity analysis is presented indicating the atmospheric conditions under which a successful application of the method could be anticipated. Field releases of sulfur hexafluoride (SF6) from a simulated area source in flat terrain were conducted to check the method, ability to reconstruct source distribution, and total emission rate. The sensitivity analysis and the field study confirm that a few ground-level concentration measurements and a simple determination of the atmospheric dispersion characteristics are sufficient, under neutral to stable conditions, to obtain the total emission rate accurately. Reconstruction of the spatial pattern of the source is possible by utilizing concentration information from samplers located on two separate ground-level receptor lines, if a shift in the wind direction occurs and if it can be assumed that the total emission rate is time invariant. A method of cross-checking the accuracy of the reconstruction, using a simultaneous tracer release, is presented.

从下风浓度测量中确定区域源排放的反演算法。
测量来自非均匀区域的排放,如废物贮存场,一直是一个难题。没有一种简单而可靠的方法。本文描述了一种客观的反演下风浓度测量的方法,该方法利用假定的大气弥散形式来重建总排放率和分布。将高斯色散模型与基于k理论和相似表达式的更现实的模型进行了比较。灵敏度分析表明,在大气条件下,该方法的成功应用可以预期。以平坦地形中模拟区域源的六氟化硫(SF6)现场释放为例,验证了该方法、源分布重建能力和总排放率。敏感性分析和实地研究证实,在中性到稳定的条件下,少量地面浓度测量和简单测定大气弥散特性就足以准确地获得总排放率。如果风向发生变化,并且可以假设总发射率是时不变的,则可以利用位于两条独立地面受体线上的采样器的浓度信息来重建源的空间格局。提出了一种同时释放示踪剂的方法来交叉检查重建的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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