This study explores the feasibility of using the AERMOD dispersion model as a source-receptor relationship for a point-source identification. For this purpose, an inversion technique based on the least squares approach is adopted. An evaluation of this methodology for the estimation of source location and its intensity is carried out utilizing concentration measurements obtained from the Fusion Field Trial 07 diffusion experiment for continuous trials. The source location is estimated with an average error of 25.5 m from the true values while the corresponding maximum and minimum errors are found to be 57.6 m and 10.8 m, respectively. The source intensity is retrieved within a factor of 1.6 in all the trials. Further, a comparative analysis with the studies reported in the literature suggests that the point source is estimated with reasonable accuracy if the AERMOD dispersion model is utilized along with the least squares inversion technique for source identification. AERMOD along with a source identification algorithm enhances the potential applicability of a widely used regulatory dispersion model.

中文翻译：

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AERMOD 在 FFT-07 实验中用于识别点源释放的应用

本研究探讨了使用 AERMOD 色散模型作为点源识别的源-受体关系的可行性。为此，采用了基于最小二乘法的反演技术。利用从连续试验的 Fusion Field Trial 07 扩散实验中获得的浓度测量值，对这种用于估计源位置及其强度的方法进行了评估。源位置估计与真实值的平均误差为 25.5 m，而相应的最大和最小误差分别为 57.6 m 和 10.8 m。在所有试验中，源强度均以 1.6 的系数进行检索。更多，与文献中报道的研究的比较分析表明，如果将 AERMOD 色散模型与最小二乘反演技术一起用于源识别，则可以以合理的精度估计点源。AERMOD 与源识别算法一起增强了广泛使用的监管分散模型的潜在适用性。