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Predicting ground-level ozone concentrations by adaptive Bayesian model averaging of statistical seasonal models Journal article
Stochastic Environmental Research and Risk Assessment, 2018,Volume: 32,Issue: 5,Page: 1283-1297
Authors:  Mok, K. M.;  Yuen, K. V.;  Hoi, K. I.;  Chao, K. M.;  Lopes, D.
Favorite  |  View/Download:19/0  |  Submit date:2018/10/30
Adaptive Bayesian Model Averaging  Kalman Filter  Model Switching  Ozone Prediction  Statistical Model  
Selection of bias correction models for improving the daily PM10 forecasts of WRF-EURAD in Porto, Portugal Journal article
ATMOSPHERIC POLLUTION RESEARCH, 2017,Volume: 8,Issue: 4,Page: 628-639
Authors:  Mok, K. M.;  Miranda, A. I.;  Yuen, K. V.;  Hoi, K. I.;  Monteiro, A.;  Ribeiro, I.
Favorite  |  View/Download:11/0  |  Submit date:2018/10/30
Bayesian  Bias Correction  Model Selection  Pm10  Porto  
Development of an adaptive Kalman filter-based storm tide forecasting model Conference paper
Proceedings of the Second Conference of Global Chinese Scholars on Hydrodynamics (CCSH'2016), Wuxi, PEOPLES R CHINA, NOV 11-14, 2016
Authors:  Mok, K. M.;  Lai, U. H.;  Hoi, K. I.
Favorite  |  View/Download:3/0  |  Submit date:2019/06/07
Adaptive Model  Flooding  Kalman Filter  Macau  Storm Tide  
Bayesian model class selection of daily ground-level ozone prediction model Conference paper
Proceedings of the 4th International Conference on Environmental Management, Engineering, Planning and Economics (CEMEPE) and SECOTOX Conference, Mykonos island, Greece, June 24-28, 2013
Authors:  K. I. Hoi;  K. V. Yuen;  K. M. Mok
Favorite  |  View/Download:1/0  |  Submit date:2019/05/28
Air Quality Forecasting, Bayesian Model Class Selection  Ground-level Ozone  Macau  
Adaptive Modelling of the Daily Behavior of the Boundary Layer Ozone in Macau Journal article
ISRN Meteorology, 2012,Volume: 2012,Page: 434176
Authors:  K. M. Chao;  K. I. Hoi;  K. V. Yuen;  K. M. Mok
Favorite  |  View/Download:4/0  |  Submit date:2019/05/17
WATER RESOURCE MANAGEMENT OF MACAO SAR TO TACKLE ITS SEA WATER INTRUSION PROBLEM Conference paper
Asian and Pacific Coasts 2011, Univ Hong Kong, Hong Kong, PEOPLES R CHINA, DEC 14-16, 2011
Authors:  K. M. MOK;  H. WONG;  X. J. FAN
Favorite  |  View/Download:4/0  |  Submit date:2019/05/28
Capturing the process of wave to runup Journal article
Journal of Hydrodynamics, 2010,Volume: 22,Issue: 5,Page: 29-33
Authors:  K. M. Mok;  Jie-lin Lu;  K. I. Hoi
Favorite  |  View/Download:1/0  |  Submit date:2019/06/10
Surface Waves  Shoaling  Wave Transformation  Runup  
Prediction of Ambient PMio Concentration with Artificial Neural Network Conference paper
Proceedings of the 10th International Conference for Environmental Science and Technology, Sanya, China, Aug. 21-23,2006
Authors:  L. H. Lam;  K. M. Mok
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Updating Noise Parameters of Kalman Filter Using Bayesian Approach Conference paper
Computational Methods in Engineering & Science, Sanya, Hainan, China, Aug. 21-23, 2006
Authors:  K. I. Hoi;  K. V. Yuen;  K. M. Mok
Favorite  |  View/Download:1/0  |  Submit date:2019/05/29
Fluctuation of the front propagation speed of developed gravity current Conference paper
PROCEEDINGS OF THE CONFERENCE OF GLOBAL CHINESE SCHOLARS ON HYDRODYNAMICS, Shanghai, PEOPLES R CHINA, JUL 11-14, 2006
Authors:  Ieong, K. K.;  Mok, K. M.;  Yeh, Harry
Favorite  |  View/Download:8/0  |  Submit date:2019/06/07