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Forecasting Daily Maximum Surface Ozone Concentrations in Brunei Darussalam—An ARIMA Modeling Approach
| Content Provider | Scilit |
|---|---|
| Author | Kumar, Krishan Yadav, A. K. Singh, M. P. Hassan, H. Jain, V. K. |
| Copyright Year | 2004 |
| Description | A time series approach using autoregressive integrated moving average (ARIMA) modeling has been used in this study to obtain maximum daily surface ozone $(O_{3}$) concentration forecasts. The order of the fitted ARIMA model is found to be (1,0,1) for the surface $O_{3}$ data collected at the airport in Brunei Darussalam during the period July 1998-March 1999. The model forecasts of one-day-ahead maximum $O_{3}$ concentrations have been found to be reasonably close to the observed concentrations. The model performance has been evaluated on the basis of certain commonly used statistical measures. The overall model performance is found to be quite satisfactory as indicated by the values of Fractional Bias, Normalized Mean Square Error, and Mean Absolute Percentage Error as 0.025, 0.02, and 13.14% respectively. |
| Related Links | https://www.tandfonline.com/doi/pdf/10.1080/10473289.2004.10470949?needAccess=true |
| Ending Page | 814 |
| Page Count | 6 |
| Starting Page | 809 |
| ISSN | 10962247 |
| e-ISSN | 21622906 |
| DOI | 10.1080/10473289.2004.10470949 |
| Journal | Journal of the Air & Waste Management Association |
| Issue Number | 7 |
| Volume Number | 54 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2004-07-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Journal of the Air & Waste Management Association Atmospheric Sciences Water Science and Technology Ozone Arima Model Concentrations Forecasts Brunei Daily Darussalam |
| Content Type | Text |
| Resource Type | Article |
| Subject | Atmospheric Science Pollution Waste Management and Disposal Management, Monitoring, Policy and Law |
