In order to ensure indoor air quality safety, locating the airborne contaminant sources accurately and quickly is extremely important so that timely measures can be taken to undermine the spread of pollutant and even eliminate the negative effects. Previous studies have shown that the multi-zone model can greatly reduce the inverse calculation time. However, the multi-zone model cannot describe the details of the indoor velocity field, which limits its application in complex multi-zone or large space buildings. On the premise of the accuracy and computational speed, based on the joint probability method, this study adopted the coarse-grid CFD method to speed up the process of acquiring the indoor airflow field, together with the multi-zone model method, to perform the inverse calculation of indoor airborne contaminant source location. In the backward calculation process, we conducted the ‘transpose' of the velocity field to obtain adjoint matrix, instead of computing ‘negative' of the velocity vector to save the calculation time. A two-dimensional ventilation model was utilized to validate the method, which proved the accuracy and time-saving potential of it. This study provides theoretical and practical prospect for the real-time inverse calculation of locating the indoor airborne contaminant sources.

为了确保室内空气质量安全，准确、快速地定位空气中污染物的来源极为重要，以便及时采取措施阻止污染物的传播，甚至消除负面影响。以往的研究表明，多区域模型可以大大减少逆计算时间。然而，多区模型无法描述室内速度场的细节，限制了其在复杂的多区或大空间建筑中的应用。本研究在保证精度和计算速度的前提下，基于联合概率法，采用粗网格CFD方法加快室内气流场的获取过程，结合多区模型方法进行室内空气污染物源位置的逆计算。在反向计算过程中，我们对速度场进行“转置”以获得伴随矩阵，而不是计算速度矢量的“负”以节省计算时间。利用二维通风模型对该方法进行了验证，证明了该方法的准确性和节省时间的潜力。该研究为室内空气污染物源定位的实时逆计算提供了理论和实践前景。