Keyword search (4,163 papers available)

"methane" Keyword-tagged Publications:

Title Authors PubMed ID
1 Expanding the tracer correlation method (TCM): A performance-based framework for wider implementation in landfill methane emissions monitoring Abichou T; Arkian F; Howarth E; Malmir T; Hossain RI; Buntov P; Dudak Y; Risk D; 41690139
ENCS
2 A robust, low-temperature, closed-loop anaerobic system for high-solid mixed farm wastes: advancing agricultural waste management solutions in Canada Bele V; Goyette B; An C; Achouri IE; Chaib O; Rajagopal R; 38777978
ENCS
3 Transcriptional Profiling of the Candida albicans Response to the DNA Damage Agent Methyl Methanesulfonate Feng Y; Zhang Y; Li J; Omran RP; Whiteway M; Feng J; 35886903
BIOLOGY
4 Finite Element Modelling of Bandgap Engineered Graphene FET with the Application in Sensing Methanethiol Biomarker. Singh P, Abedini Sohi P, Kahrizi M 33467459
ENCS
5 COSORE: A community database for continuous soil respiration and other soil-atmosphere greenhouse gas flux data. Bond-Lamberty B, Christianson DS, Malhotra A, Pennington SC, Sihi D, AghaKouchak A, Anjileli H, Altaf Arain M, Armesto JJ, Ashraf S, Ataka M, Baldocchi D, Andrew Black T, Buchmann N, Carbone MS, Chang SC, Crill P, Curtis PS, Davidson EA, Desai AR, Drake JE, El-Madany TS, Gavazzi M, Görres CM, Gough CM, Goulden M, Gregg J, Gutiérrez Del Arroyo O, He JS, Hirano T, Hopple A, Hughes H, Järveoja J, Jassal R, Jian J, Kan H, Kaye J, Kominami Y, Liang N, Lipson D, Macdonald CA, Maseyk K, Mathes K, Mauritz M, Mayes 33026137
ENCS

 

Title:Expanding the tracer correlation method (TCM): A performance-based framework for wider implementation in landfill methane emissions monitoring
Authors:Abichou TArkian FHowarth EMalmir THossain RIBuntov PDudak YRisk D
Link:https://pubmed.ncbi.nlm.nih.gov/41690139/
DOI:10.1016/j.wasman.2026.115405
Publication:Waste management (New York, N.Y.)
Keywords:Controlled releaseEmission quantificationLandfill monitoringMethane emissionsSMAPETracer correlation method
PMID:41690139 Category: Date Added:2026-02-15
Dept Affiliation: ENCS
1 Department of Civil & Environmental Engineering, FAMU-FSU College of Engineering, Florida State University, Tallahassee 32310, FL, USA. Electronic address: abichou@eng.famu.fsu.edu.
2 Department of Civil & Environmental Engineering, FAMU-FSU College of Engineering, Florida State University, Tallahassee 32310, FL, USA.
3 Dept. of Earth, Ocean and Atmospheric Science, Florida State University, Tallahassee 32310, FL, USA.
4 Department of Building, Civil and Environmental Engineering, Concordia University, Montreal H3G1M8, Canada.
5 Department of Earth and Environmental Sciences, St. Francis Xavier University, Antigonish B2G2W5, NS, Canada.

Description:

The Tracer Correlation Method (TCM), when applied to quantify landfill methane emissions, relies on previously developed stringent quality control thresholds (R2 = 0.80 and Emission Rate Deviation (ERD) = 20 %, hereafter referred to as the Gold Standard. However, these thresholds often exclude a substantial portion of the collected data, limiting wider use of TCM. We evaluated TCM during a controlled release campaign at the Petrolia landfill (Ontario, Canada), where methane was emitted at known rates (27.1-179 kg/h), though these were not disclosed to the measurement team during testing. Emission estimates from the TCM (slope-based and area-based) were compared to the true releases using the Symmetric Mean Absolute Percentage Error (SMAPE). While transects fulfilling the Gold Standard threshold showed strong agreement with actual emissions, several non-Gold Standard transects also yielded emissions estimates within 20-30 % of the released rates. These results were used to propose an expanded classification framework introducing a Silver category (R2 = 0.60, ERD = 30 %), that retained additional valid transects under moderate conditions. These results demonstrate that TCM can provide accurate total landfill emission estimates supporting a more flexible, performance-based framework to improve its utility in landfill monitoring programs.





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