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Spatio-temporal variability of CO over the Eastern Indo-Gangetic Plain (IGP) and in parts of South-East Asia: a MERRA-2-based study

  • Debreka Ghosh
  • Sankhadeep Basu
  • Akash Kumar Ball
  • Shyam Lal
  • Ujjaini SarkarEmail author
Article
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Abstract

The present study revolves around the distribution of surface CO concentrations around the industrial belts of the Eastern Indo-Gangetic Plains (IGP) and in parts of Southeast Asia over a period of 10 years from January 2007 to December 2016. MERRA-2 reanalysis fields are analysed to study the long-term spatial and seasonal behaviour of CO. The focus is on three CO hotspot areas in this region, denoted by A, B and C, which are further subdivided into eight smaller divisions based on topographical and regional characteristics as discussed in details in “Study Region & Meteorology” section. The monthly average distribution of CO in all the eight zones ranges from 750 (C1) to 3781(A2) ppbv. Very high values are consistently observed in the Indo-Gangetic Plains as compared with other regions during the entire period of study. Seasonal variation of surface CO concentration indicates high values in the post-monsoon or winter season. Analysis of spatio-temporal variation alongside emission, chemical production and loss reveals that presence of surface CO is predominantly due to combustion of fossil fuels and burning of organic matters. Fire hotspot data from FIRMS also support these results. Statistical analysis performed using the non-linear regression model further elucidates the sources of CO in the hotspot areas. The coefficient of determination (R2) values between surface CO concentration (response variable) and emission, chemical production and loss (the independent process variables) for all the zones show interesting results. MERRA-2 does not consider any kind of convective transport as influx and outflux of the hypothetical control volume (box) and as such slightly overestimates the net CO concentration as compared with the ground-based measurements under steady-state scenarios.

Keywords

CO Southeast Asia IGP MERRA-2 Non-linear regression 

Notes

Acknowledgements

The authors would like to acknowledge the Global Modelling and Assimilation Office (GMAO) who are involved in the production of the MERRA-2 data. For the fire hotspot information, we acknowledge the use of data products from the Land, Atmosphere Near Real-Time Capability for EOS (LANCE) system operated by NASA’s Earth Science Data and Information System (ESDIS) with funding provided by NASA Headquarters. The authors would also like to thank the Central Pollution Control Board (CPCB) of India for providing the ground based CO concentration data. The authors are extremely grateful to Indian Space Research Organization-Atmospheric-Chemistry Transport Modelling (ISRO-AT-CTM) Group for providing the financial support for this research. Prof Shyam Lal would also like to thank INSA, New Delhi, India for the support for his position.

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Copyright information

© Springer Nature B.V. 2019

Authors and Affiliations

  • Debreka Ghosh
    • 1
  • Sankhadeep Basu
    • 1
  • Akash Kumar Ball
    • 1
  • Shyam Lal
    • 2
  • Ujjaini Sarkar
    • 1
    Email author
  1. 1.Department of Chemical EngineeringJadavpur UniversityKolkataIndia
  2. 2.Space and Atmospheric Sciences DivisionPhysical Research LaboratoryAhmedabadIndia

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