Estimating the transport of ammonia and particulate matter (PM) from ventilation tunnel fans of poultry houses is needed to develop effective mitigation strategies. However, field measurements are time-consuming and costly. Alternatively, air dispersion models can provide more information under a variety of conditions. Therefore, this study was conducted to modify and to validate the Gaussian plume model to predict poultry house plumes. The most notable modification was the addition of a virtual, emission-releasing point behind the exhaust tunnel fan. The modified model was validated using previously-reported field measurements. The fraction of predictions within a factor of two (FAC2) for both ammonia and PM observations was greatly improved compared with original model. In addition, the model performance was not sensitive to different sampling scenarios. This new model can be applied to other experiments and will be useful in evaluating the effectiveness of mitigation strategies for air pollutant emissions.

需要估算出禽舍通风管道风机的氨气和颗粒物（PM）的运输量，以制定有效的缓解策略。但是，现场测量既费时又昂贵。另外，空气扩散模型可以在各种条件下提供更多信息。因此，本研究旨在修改和验证高斯羽流模型以预测家禽羽流。最显着的修改是在排气隧道风扇后面增加了虚拟的排放点。使用先前报告的现场测量结果验证了修改后的模型。预测的分数在二分之一以内（FAC2）的氨和PM观测值与原始模型相比大大提高了。此外，模型性能对不同的采样方案不敏感。这个新模型可以应用于其他实验，并将有助于评估空气污染物排放缓解策略的有效性。