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Development of an adaptive Kalman filter-based storm tide forecasting model Journal article
Journal of Hydrodynamics, 2016,Volume: 28,Issue: 6,Page: 1029-1036
Authors:  MOK K.M.;  LAI U.H.;  HOI K.I.
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Adaptive Model  Flooding  Kalman Filter  Macau  Storm Tide  
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.
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Adaptive Model  Flooding  Kalman Filter  Macau  Storm Tide  
Development of an adaptive empirical model for storm tide simulation Conference paper
Proceedings of the Coastal Engineering Conference, Seoul, Korea, 2014
Authors:  U Hin Lai;  Ka In Hoi;  Kai Meng Mok
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Adaptive Model  Flooding  Kalman Filter  Storm Surge  Storm Tide  
Investigation of fine particulate pollution in a coastal city with a mobile monitoring platform Conference paper
Global Nest Journal, Athens, MAY 29-JUN 01, 2012
Authors:  Hoi K.I.;  MOK K.M.;  Yuen K.V.;  Pun M.H.
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Macau  Mobile Monitoring Platform  Pm2.5  Wide-range Particle Spectrometer  
Assessment of Fine Particulate Pollution in Macau Using a Mobile Monitoring Platform Conference paper
Proceedings of the 12th International Conference for Environmental Science and Technology, Rhodes Island, Greece, September 8-10, 2011
Authors:  Hoi, Ka In;  Mok, Kai Meng;  Yuen, Ka Veng;  Pun, Man Hou
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Macau  Mobile Monitoring Platform  Pm2.5  Wide-range Particle Spectrometer  
Internally Mixed Sea Salt, Soot, and Sulfates at Macao, a Coastal City in South China Journal article
Journal of the Air and Waste Management Association, 2011,Volume: 61,Issue: 11,Page: 1166
Authors:  Li W.;  Shao L.;  Li R.;  Yang S.;  Wang Z.;  Tang U.
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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
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Is a complex neural network based air quality prediction model better than a simple one? A Bayesian point of view Conference paper
AIP Conference Proceedings, Hong Kong & Macau, PEOPLES R CHINA, NOV 30-DEC 03, 2009 & DEC 02-03, 2009
Authors:  Hoi K.I.;  Yuen K.V.;  Mok K.M.
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Air Quality Prediction  Artificial Neural Network  Bayesian Approach  Macau  Pm10  
Optimizing the performance of kalman filter based statistical time-varying air quality models Conference paper
Global Nest Journal, Chania, GREECE, SEP 03-05, 2009
Authors:  Hoi K.I.;  Yuen K.V.;  Mok K.M.
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Bayesian Inference  Kalman Filter  Macau  Pm10  Time-varying Models  
Size, composition, and mixing state of individual aerosol particles in a South China coastal city Journal article
Journal of Environmental Sciences, 2010,Volume: 22,Issue: 4,Page: 561
Authors:  Li W.;  Shao L.;  Wang Z.;  Shen R.;  Yang S.;  Tang U.
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Heterogeneous reaction  Individual aerosol particles  Sea salt  Soot