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Machine learning based quantification of VOC contribution in surface ozone prediction.
Kalbande, Ritesh; Kumar, Bipin; Maji, Sujit; Yadav, Ravi; Atey, Kaustubh; Rathore, Devendra Singh; Beig, Gufran.
Affiliation
  • Kalbande R; Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, Pune, India; Mohanlal Sukhadia University, Udaipur, India. Electronic address: riteshkalbande.jrf@tropmet.res.in.
  • Kumar B; Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, Pune, India. Electronic address: bipink@tropmet.res.in.
  • Maji S; Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, Pune, India. Electronic address: sujit.cat@tropmet.res.in.
  • Yadav R; Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, Pune, India; NUS Environmental Research Insitute, National University of Singapore, Singapore. Electronic address: ravi.yadav@tropmet.res.in.
  • Atey K; Indian Institute of Science Education and Research, Pune, India. Electronic address: kaustubh.atey@students.iiserpune.ac.in.
  • Rathore DS; Mohanlal Sukhadia University, Udaipur, India. Electronic address: dsrathoremlsu@gmail.com.
  • Beig G; National Institute of Advanced Studies, Indian Institute of Science Campus, Bangalore, India. Electronic address: beig@nias.res.in.
Chemosphere ; 326: 138474, 2023 Jun.
Article in En | MEDLINE | ID: mdl-36958496

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ozone / Air Pollutants / Volatile Organic Compounds Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: Asia Language: En Journal: Chemosphere Year: 2023 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ozone / Air Pollutants / Volatile Organic Compounds Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: Asia Language: En Journal: Chemosphere Year: 2023 Document type: Article