Preprints
https://doi.org/10.5194/essd-2023-310
https://doi.org/10.5194/essd-2023-310
05 Oct 2023
 | 05 Oct 2023
Status: this preprint was under review for the journal ESSD but the revision was not accepted.

Development and comprehensive analysis of spatially resolved technological high resolution (0.1°×0.1°) Emission Inventory of Particulate Matter for India: A step Towards Air Quality Mitigation

Saroj Kumar Sahu, Poonam Mangaraj, Gufran Beig, Marianne T. Lund, Bjørn Hallvard Samset, Pallavi Sahoo, and Ashirbad Mishra

Abstract. Elevated emission of particulate matter (both PM2.5 and PM10) is not limited to urban areas. It’s the major pollutant that drives the air quality across the Indian sub-continent as well as across the globe with adverse health impacts. Moreover, India is home to many polluted cities in recent years that are among the list of most polluting cities in the globe. Therefore, the identification of sources of particulate matter and their quantification along with spatial variability has become of paramount importance from the modelling point of view. The present work is an attempt to develop a high-resolution (~10 km×~10 km) national inventory of particulate (both PM2.5 and PM10) pollutants for India for the base year 2020 using IPCC methodology. The study quantifies the emission load from all possible sources in the county using the best possible resolution activity data and bottom-up approach. The estimated annual emission for PM2.5 and PM10, are calculated to be 15.8 Tg/yr, and 8.3 Tg/yr respectively. The developed emission dataset is publicly available on Zenodo at https://doi.org/10.5281/zenodo.7885103 (Sahu et al., 2023). Transport-driven windblown road dust remains the dominating source of PM10 emission, while transport and industry are the most important sources of PM2.5. The unattended anthropogenic source - municipal solid waste burning is found to be emerging as a new threat followed by crop residue burning. The developed new surface dataset has formulated a few recommendations of possible mitigation strategies for India and would be a critical tool for modelling studies.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Saroj Kumar Sahu, Poonam Mangaraj, Gufran Beig, Marianne T. Lund, Bjørn Hallvard Samset, Pallavi Sahoo, and Ashirbad Mishra

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2023-310', Anonymous Referee #1, 19 Oct 2023
    • AC1: 'Reply on RC1', Saroj Kumar Sahu, 05 Nov 2023
  • RC2: 'Comment on essd-2023-310', Anonymous Referee #2, 08 Nov 2023
    • AC2: 'Reply on RC2', Saroj Kumar Sahu, 18 Nov 2023
  • EC1: 'Comment on essd-2023-310', Tobias Gerken, 12 Nov 2023
    • AC3: 'Reply on EC1', Saroj Kumar Sahu, 18 Nov 2023

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2023-310', Anonymous Referee #1, 19 Oct 2023
    • AC1: 'Reply on RC1', Saroj Kumar Sahu, 05 Nov 2023
  • RC2: 'Comment on essd-2023-310', Anonymous Referee #2, 08 Nov 2023
    • AC2: 'Reply on RC2', Saroj Kumar Sahu, 18 Nov 2023
  • EC1: 'Comment on essd-2023-310', Tobias Gerken, 12 Nov 2023
    • AC3: 'Reply on EC1', Saroj Kumar Sahu, 18 Nov 2023
Saroj Kumar Sahu, Poonam Mangaraj, Gufran Beig, Marianne T. Lund, Bjørn Hallvard Samset, Pallavi Sahoo, and Ashirbad Mishra

Data sets

High-resolution Gridded Emission Database for India Saroj Kumar Sahu https://doi.org/10.5281/zenodo.7885103

Saroj Kumar Sahu, Poonam Mangaraj, Gufran Beig, Marianne T. Lund, Bjørn Hallvard Samset, Pallavi Sahoo, and Ashirbad Mishra

Viewed

Total article views: 605 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
455 112 38 605 33 29
  • HTML: 455
  • PDF: 112
  • XML: 38
  • Total: 605
  • BibTeX: 33
  • EndNote: 29
Views and downloads (calculated since 05 Oct 2023)
Cumulative views and downloads (calculated since 05 Oct 2023)

Viewed (geographical distribution)

Total article views: 591 (including HTML, PDF, and XML) Thereof 591 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 19 May 2024
Download
Short summary
Elevated emission of particulate matter is not limited to urban areas, led to poor air quality across the country. Emission Inventory is the first line of defensive tools for air quality management and understanding and identification of the source of pollutants. The present work is an attempt to develop a high-resolution (~10 km) national inventory of particulate pollutants in India for 2020 using IPCC methodology. The developed dataset is vital piece of information for mitigation strategies.
Altmetrics