Using Improved Neural Network Model to Analyze RSP, NOx and NO2 Levels in Urban Air in Mong Kok, Hong Kong
Authors:
- 1 September 2003
- journal article
- Published by Springer Nature in Environmental Monitoring and Assessment
- Vol. 87 (3) , 235-254
Abstract
As the health impact of air pollutants existing in ambient addresses much attention in recent years, forecasting of airpollutant parameters becomes an important and popular topic inenvironmental...Keywords
This publication has 22 references indexed in Scilit:
- Analysis of Pollutant Levels in Central Hong Kong Applying Neural Network Method with Particle Swarm OptimizationEnvironmental Monitoring and Assessment, 2002
- The characteristics of ozone and related compounds in the boundary layer of the South China coast: temporal and vertical variations during autumn seasonAtmospheric Environment, 2001
- Carbon monoxide levels in popular passenger commuting modes traversing major commuting routes in Hong KongAtmospheric Environment, 2001
- Vertical dispersion of suspended particulates in urban area of Hong KongAtmospheric Environment, 2000
- Application of Artificial Neural Networks to Modeling and Prediction of Ambient Ozone ConcentrationsJournal of the Air & Waste Management Association, 2000
- Effects of Particulate and Gaseous Air Pollution on Cardiorespiratory HospitalizationsArchives of Environmental Health: An International Journal, 1999
- On the physics, chemistry and toxicology of ultrafine anthropogenic, atmospheric aerosols (UAAA): new advancesToxicology Letters, 1998
- Modeling complex environmental dataIEEE Transactions on Neural Networks, 1997
- A neural network model forecasting for prediction of daily maximum ozone concentration in an industrialized urban areaEnvironmental Pollution, 1996
- A quantitative assessment of source contributions to inhalable particulate matter pollution in metropolitan BostonAtmospheric Environment (1967), 1985