Prediction of ozone levels using a Hidden Markov Model (HMM) with Gamma distribution

Atmospheric Environment

Volumn 62, Issue , 2012, Pages 64-73

  Zhang, Hao ^a   Zhang, Weidong ^a   Palazoglu, Ahmet ^b   Sun, Wei ^a  

^a BEIJING UNIVERSITY OF CHEMICAL TECHNOLOGY   (China)

^b University of California   (United States)

Author keywords

Hidden Markov models; Model driven models; Ozone prediction; Wavelets

Indexed keywords

AIR QUALITY MONITORING; FALSE ALARMS; GAMMA DISTRIBUTION; GEOGRAPHIC AREAS; GROUND-LEVEL OZONE; HIDDEN MARKOV MODELS (HMMS); HOUSTON; MATHEMATICAL STRUCTURE; METEOROLOGICAL FACTORS; METROPOLITAN AREA; MODEL PARAMETERS; MODEL-DRIVEN; MODIFIED EXPECTATION-MAXIMIZATION; NON-GAUSSIAN DISTRIBUTION; OZONE CONCENTRATION; OZONE LEVELS; OZONE PRECURSORS; OZONE PREDICTION; PREDICTION AND FORECASTING; REGULATORY POLICIES; SAN FRANCISCO; STATISTICAL MODELS; SURFACE OZONE; VOLATILE HYDROCARBONS; WAVELETS;

AIR QUALITY; DIGITAL STORAGE; ERRORS; FORECASTING; GAUSSIAN DISTRIBUTION; HIDDEN MARKOV MODELS; HYDROCARBONS; NITROGEN OXIDES; PARAMETER ESTIMATION; PHOTOCHEMICAL REACTIONS;

OZONE;

OZONE;

ALGORITHM; ATMOSPHERIC MODELING; CLIMATE PREDICTION; DATA SET; GAUSSIAN METHOD; MARKOV CHAIN; METROPOLITAN AREA; NITROGEN OXIDES; NUMERICAL MODEL; OZONE; PHOTOCHEMISTRY; REGULATORY APPROACH; WAVELET ANALYSIS;

AIR QUALITY; ARTICLE; ENVIRONMENTAL MONITORING; GEOGRAPHY; HIDDEN MARKOV MODEL; METEOROLOGY; OZONE LAYER; PARAMETERS; PREDICTION; PRIORITY JOURNAL; STATISTICAL ANALYSIS;

CALIFORNIA; HOUSTON; LIVERMORE; SAN FRANCISCO [CALIFORNIA]; TEXAS; UNITED STATES;

EID: 84865759715     PISSN: 13522310     EISSN: 18732844     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2012.08.008     Document Type: Article

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