Predicting violations of national ambient air quality standards using extreme value theory for Delhi city

Developmental Biology

Avinash Chandra¹  Pragati Sharma³  Suresh Jain²  Prateek Sharma²  S.C Kaushik¹ 

[1] Centre for Energy Studies, Indian Institute of Technology, Delhi, Hauz Khas, New Delhi–110016.$$;Department of Natural Resources, TERI University, Delhi, 10, Institutional Area, Vasant Kunj, New Delhi–10070.$$;Department of Applied Sciences, Bharati Vidyapeeth's College of Engineering, Paschim Vihar, New Delhi–110063.$$

关键词: Type I asymptotic distribution;    Gumbel distribution;    Time series;    Statistical modeling;    Extreme value theory;    Air quality standards;   

DOI  :  10.5094/APR.2012.017

学科分类：农业科学（综合）

来源: Dokuz Eylul Universitesi * Department of Environmental Engineering

【 摘 要 】

Type I asymptotic distribution of extreme values was used for making predictions of the expected number of violations of the National Ambient Air Quality Standards (NAAQS) for 24–hour average sulfur dioxide (SO₂), nitrogen dioxide (NO₂) and suspended particulate matter (SPM), monitored at the four National Ambient Air Quality Monitoring (NAAQM) stations run by the Central Pollution Control Board (CPCB) for Delhi city. The parameters of the distribution were estimated using Gumbel's method. A comparison of the predicted violations of NAAQS and the exceedance of the maximum pollution concentration with that of the observed data indicates that Type I asymptotic distribution adequately fits to the observed extreme value data. The application of extreme value theory as a tool for managing urban air quality was highlighted.

【 授权许可】

Unknown   

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