Caline–4 Model Validation in the Nearfield of Bahadur Shah Zafar Marg, New Delhi, India

Abstract

Rapid growth in the number of vehicles and vehicle activity makes this particularly true in cities in developing countries. It is generated due to incomplete combustion of the fuel in automobiles. It is observed to be as high as 70% of the total pollutants at urban environment, especially, in the near fields of urban roadways and intersections. Therefore, in present study, an attempt has been made to validate the air quality model (Caline – 4) through monitored and predicted CO concentrations. A typical urban roadway Bahadur Shah Zafar Marg containing highest traffic volume, heterogeneous traffic composition along with typical traffic flow conditions has been selected for validation of Caline – 4 model. The air quality (carbon monoxide) monitoring and prediction has been carried out as per standard procedure. The predicted values of average hourly concentration CO have been observed to be very close to monitored CO concentration irrespective of location. The values of statistical parameters in terms of mean, Index of Agreement (IA), Normalized Mean Square Error (NMSE), Pearson’s correlation coefficient (COR), the Fractional Bias and the Factor-of-Two (F2) have been found to be very close to ideal model performance. The values of statistical parameters chosen for the model validation showed good correlation between monitored and predicted values of 1 hourly average CO at various locations of approaching roads forming intersection. Statistical analysis results concluded that the line source model, CALINE – 4 under predicts the CO concentrations at various locations of road. This will help a lot to the authority for proper planning, designing and policy matter.

Authors and Affiliations

Ghanshyam .

Keywords

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  • EP ID EP395036
  • DOI 10.9790/9622-0808020106.
  • Views 107
  • Downloads 0

How To Cite

Ghanshyam . (2018). Caline–4 Model Validation in the Nearfield of Bahadur Shah Zafar Marg, New Delhi, India. International Journal of engineering Research and Applications, 8(8), 1-6. https://europub.co.uk/articles/-A-395036