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- W2024659893 abstract "This paper describes the development of the univariate time-series models for forecasting 1-h average carbon monoxide (CO) concentrations during the critical (winter) period. The CO data covering the period from 1st November to 31st December 1999, has been used for the development of Box?Jenkins models at two Air Quality Control Regions (AQCRs) – traffic intersection (AQCR1) and an arterial road (AQCR2) in the Delhi city. The results indicate the model predictions having degree of agreement, 'dA' as 0.49 (49% of the predictions are error free) and 0.43 (43%) for AQCR1 and AQCR2, respectively. The 'dA' values indicate that noise term in the univariate model does not take into account the persistence of inversion conditions." @default.
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- W2024659893 date "2009-01-01" @default.
- W2024659893 modified "2023-09-26" @default.
- W2024659893 title "Univariate stochastic model for predicting carbon monoxide on an urban roadway" @default.
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- W2024659893 doi "https://doi.org/10.1504/ijee.2009.027802" @default.
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