Methane emissions from landfills differentially underestimated worldwide

Yao Wang, Mingliang Fang, Ziyang Lou, Hongping He, Yuliang Guo, Xiaoqing Pi, Yijie Wang, Ke Yin*, Xunchang Fei*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)

Abstract

Landfill methane (CH4) emissions account for ~10% of all anthropogenic CH4 emissions globally, amounting to ~50 Tg per year. The current emission inventories utilize a first-order decay model as recommended by the Intergovernmental Panel on Climate Change. In contrast to recent top-down atmospheric inversion results, the mainstream bottom-up inventories exhibit significant biases, largely stemming from the inaccuracy in the a priori decay constant (k), an essential rate-controlling parameter in the model. We improve the k estimation method by incorporating compositional- and environmental-specific corrections, which are readily integrated into the Intergovernmental Panel on Climate Change’s model. The accuracy of CH4 emission predictions is significantly improved by using the corrected k values, which are benchmarked against the atmospheric inversion results. We extend the emission estimations to landfills worldwide and reveal up to 200% underestimations for individual landfills. Our findings highlight the importance of prioritizing landfill CH4 emission monitoring and reduction as one of the most cost-effective mitigation options to achieve current climate goals.

Original languageEnglish
Pages (from-to)496-507
Number of pages12
JournalNature Sustainability
Volume7
Issue number4
DOIs
Publication statusPublished - Apr 2024
Externally publishedYes

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive licence to Springer Nature Limited 2024.

ASJC Scopus Subject Areas

  • Global and Planetary Change
  • Food Science
  • Geography, Planning and Development
  • Ecology
  • Renewable Energy, Sustainability and the Environment
  • Urban Studies
  • Nature and Landscape Conservation
  • Management, Monitoring, Policy and Law

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