A first-order kinetic model for simulating the aerobic degradation of municipal solid waste

Sun, Xiayu; Xu, Hui; Wu, Bin-Hai; Shen, Shuyi; Zhan, Liangtong

doi:10.1016/j.jenvman.2022.117093

Cited by 5 publications

(2 citation statements)

References 54 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Previous studies (Sun et al, 2023;Xiao et al, 2021) have utilized a sigmoid curve (Eq. 4) to describe the effect of moisture on waste degradation.…”

Section: Moisture Correction Factormentioning

confidence: 99%

See 1 more Smart Citation

Up to 200% underestimation of cumulative methane emission from individual landfills uncovers tens of Tg of overlooked annual emission worldwide

Wang,

Yin,

Fang

et al. 2023

Preprint

View full text Add to dashboard Cite

Landfill methane (CH4) emissions account for ~ 10% of all anthropogenic CH4 emissions globally, amounting to ~ 50 Tg/year. Contrasted by “top-down” atmospheric inversion results, the mainstream “bottom-up” emission inventories, which use the Intergovernmental Panel on Climate Change’s (IPCC) model, exhibit significant bias due to inaccurate a priori decay constant (k) estimations. We improved the k estimation method by incorporating composition- and environment-specific corrections, which are readily integrated into the IPCC’s model. We demonstrate that the accuracies of CH4 emission predictions are 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 209% underestimation in individual landfills and several tens of Tg/year of potentially overlooked CH4 emission globally. 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.

show abstract

“…Previous studies (Sun et al, 2023;Xiao et al, 2021) have utilized a sigmoid curve (Eq. 4) to describe the effect of moisture on waste degradation.…”

Section: Moisture Correction Factormentioning

confidence: 99%

“…The effect of temperature on waste degradation and methanogenesis has been elucidated in previous studies (Rosso et al, 1993;Schupp et al, 2020;Sun et al, 2023). The temperature correction factor f T can be expressed by a cardinal temperature model with in ection (CTMI) (Eq.…”

Section: Temperature Correction Factormentioning

confidence: 99%