Application of the EnKF method for real-time forecasting of smoke movement during tunnel fires

• Published in: Advances in engineering software (1992) Vol. 115; pp. 398 - 412
• Main Authors: Ji, Jie, Tong, Qi, (Leon) Wang, Liangzhu, Lin, Cheng-Chun, Zhang, Cong, Gao, Zihe, Fang, Jun
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.01.2018
• Subjects: Data assimilation; Ensemble Kalman filter; OpenDA; Real-time prediction; Ensemble Kalman filter; Real-time prediction; OpenDA; Data assimilation

•CFAST is connected with OpenDA through black box function to improve the prediction performance.•EnKF is applied to forecast smoke movement during tunnel fires.•Functions of the EnKF parameter estimation and model state estimation are illustrated.•Key EnKF parameters affecting the predictability ac...