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A neural network forecasting system for daily air quality index in Macau
Mok K.M.; Tam S.C.; Yan P.; Lam L.H.
2000-12-01
Conference Name8th International Conference on Air Pollution
Source PublicationAdvances in Air Pollution
Volume8
Pages41-50
Conference DateJUL 24-26, 2000
Conference PlaceUNIV CAMBRIDGE, CAMBRIDGE, ENGLAND
PublisherWIT PRESS, ASHURST LODGE, SOUTHAMPTON SO40 7AA, ASHURST, ENGLAND
Abstract

Using the data recorded at the Northern Zone monitoring air-quality monitoring station at Macau during April to June of 1999 as the training and testing data set, a three-layered feed-forward neural network is developed to predict the one-day ahead daily air quality index (AQI) at that area. Various input selection ranging from using the past three day measurements to the past twelve day measurements are tested against different number of hidden layer neurons. It is found experimentally that using only the past three days values as input with 8 neurons in the hidden layer give the best testing results. This setting is adopted as the basic setting of the developed model. It is then applied to forecast the sub-index of each measured pollutant and the predicted AQI is set as the maximum of the forecasted sub-index. The forecasted AQIs are compared with the actual measurements of July 1999. It is found that the mean absolute percentage error is about 16 % and 97% of the forecasts give the correct main contribution pollutant. These promising results indicate that an efficient AQI-prediction system for Macau could be developed based on the application of neural network.

DOI10.2495/AIR000041
URLView the original
Indexed BySCI
Language英语
WOS Research AreaEngineering ; Environmental Sciences & Ecology
WOS SubjectEngineering, Environmental ; Environmental Sciences
WOS IDWOS:000089937400005
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Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionDEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING
DEPARTMENT OF MATHEMATICS
AffiliationFaculty of Science and Technology, University of Macau, China
First Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Mok K.M.,Tam S.C.,Yan P.,et al. A neural network forecasting system for daily air quality index in Macau[C]:WIT PRESS, ASHURST LODGE, SOUTHAMPTON SO40 7AA, ASHURST, ENGLAND,2000:41-50.
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