Tools
ToolsBeig, Gufran, Sahu, S. K., Anand, V., Bano, S., Maji, S., Rathod, A., Korhale, N., Sobhana, S. B., Parkhi, N., Mangaraj, P., Srinivas, R., Peshin, S. K., Singh, S., Shinde, R. and Trimbake, H. K. (2021) India's Maiden air quality forecasting framework for megacities of divergent environments: The SAFAR-project. Environmental Modelling and Software, 145. ISSN 1364-8152
Full text not available from this repository.Abstract
Air quality is a strong health driver, its accurate assessment and forecast are important in densely populated megacities to take preventive steps. We describe the first Indian operational air quality framework, SAFAR (System of Air Quality and Weather Forecasting And Research), meant for decision-makers and a research tool with a capability of three days advance forecast in four Indian megacities of distinct environment and topography. The framework includes six different components from observations and modelling to outreach. To evaluate the performance of the forecast, we focus on particulate pollutants which largely define air quality of Indian metropolis. The model prediction skill is tested for the pilot year 2019-20 which is found to be reasonable. The Normalized Gross error of PM2.5 for Delhi is found to be highest (35%) whereas for other cities it is ∼13–20%. The Model Output Statistics (MOS) application enhanced operational forecast ability of numerical model which resulted in improving the accuracy for specific seasons (winter).
| Item Type: | Article |
|---|---|
| Additional Information: | Funding Information: The authors acknowledge with thanks the Director (IITM) and Director General (IMD). Exclusive sense of indebtedness to Dr. (Mrs.) Parvinder Maini (MoES) for advancing SAFAR with probity. Special gratitude to Dr. Shailesh Nayak, Ex-Secretary, Ministry of Earth Sciences (Govt. of India) for his vision and confidence in GB to steer SAFAR and making it a flagship program of MoES. SAFAR fulfilled commitment to NCAP plan of Central Pollution Control Board of India. The funding for the research is from the core institutional (IITM) grant for SAFAR project sponsored by Ministry of Earth Sciences, India. |
| Uncontrolled Keywords: | air quality,environment,forecasting model,megacities,meteorology,particulate matters,safar,topography and health,software,environmental engineering,ecological modelling,sdg 11 - sustainable cities and communities ,/dk/atira/pure/subjectarea/asjc/1700/1712 |
| Faculty \ School: | Faculty of Science > School of Environmental Sciences |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 07 Nov 2022 13:30 |
| Last Modified: | 25 Sep 2024 16:55 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/89685 |
| DOI: | 10.1016/j.envsoft.2021.105204 |
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