Hiring in life sciences? Share your open positions with our professional community. Read more Close

Advertisement

Systematic evaluation of industrial greenbelts for quantifying carbon sequestration potential of afforestation activities.

Created on 10 Sep 2025

Authors

Nirav P Raval, Aravind D, A N Ramesh, Himanshu Pandey, Pradeep Kumar Ghosal, Milind Rawal, Mrugesh H Trivedi

Published in

Environmental monitoring and assessment. Volume 197. Issue 10. Pages 1099. Sep 09, 2025. Epub Sep 09, 2025.

Abstract

India's energy demand increased by 7.3% in 2023 compared to 2022 (5.6%), primarily met by coal-based thermal power plants (TPPs) that contribute significantly to greenhouse gas emissions. In line with national climate goals set under the Nationally Determined Contributions (NDCs) for 2030, India mandates 33% green cover within TPPs for carbon (C) sequestration. This study assesses the C sequestration potential of greenbelts at Tata Coastal Gujarat Power Limited (CGPL) plant (465 ha) and its township (TS, 13.86 ha). The analysis integrates field-based allometric biomass estimation with CASA modeling, supported by remote sensing (RS) and GIS-based evaluation of NDVI and NDBI indices. While the TS exhibited higher species richness (28 families, 3,706 trees), the TPP (19 families, 363,467 trees) recorded higher sequestration values (CO2-equivalent: 52.52 Mg ha⁻1 vs. 2.13 Mg ha⁻1). Statistical modeling demonstrated that biomass accumulation was the strongest predictor of carbon storage (R2 = 1 for biomass-CO2eq) across both sites indicating that larger DBH and higher total biomass consistently resulted in greater CO2eq sequestration. NDVI-based analysis indicated a consistent increase in vegetation health over 2010-2023, while NDBI showed moderate expansion in built-up area. CASA estimates annual CO2 sequestration of ~8,745 Mg ha-1 for TPP and 1058 Mg ha-1 for the TS. This study provides a reference framework for afforestation-driven carbon mitigation by optimizing green areas within industrial landscapes, thereby contributing to the achievement of the United Nations Sustainable Development Goals (SDGs).

PMID:
40926027
Bibliographic data and abstract were imported from PubMed on 10 Sep 2025.

Read full publication at:
Please sign in to see all details.

Advertisement

Stats

  • Community rating n/a 0 votes
  • Reviewers' rating n/a 0 votes
  • Your rating

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

  • Recommendations n/a n/a positive of 0 vote(s)
  • Views 66
  • Comments 0

Recommended by

  • No recommendations yet.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.

Advertisement