ORCID

https://orcid.org/0009-0002-5048-3672

Year

2026

Season

Spring

Paper Type

Master's Thesis

College

College of Computing, Engineering & Construction

Degree Name

Master of Science in Civil Engineering (MSCE)

Department

Engineering

NACO controlled Corporate Body

University of North Florida. School of Engineering

Committee Chairperson

Dr. Florentino De La Cruz

Second Advisor

Dr. Andres Leiva Araos

Rights Statement

http://rightsstatements.org/vocab/InC/1.0/

Third Advisor

Dr. Jiannan (Nick) Chen

Abstract

Estimates of annual methane emissions from landfills rely primarily on first-order decay (FOD) models; however, agreement between model-based estimates and field- derived annual emissions across multiple sites has not been established. The objective of this study was to compare annual CH4 emissions from seven model implementations based on EPA GHGRP, IPCC, CARB, and Dutch Afvalzorg protocols with annual emissions derived from satellite observations, surface emissions monitoring (SEM), and tracer correlation (TC). Direct measurement estimates varied by method and site, but the overlapping landfill-year comparisons did not show a statistically significant difference in this data set. Across the five LF07 overlaps, SEM was on average 54.0% higher than Satellite, with a median difference of 65.7%. For the two 2025 TC-Satellite overlaps, TC was 9.6% lower at LF07 and 100.4% higher at LF08. When pooled direct measurement estimates were compared with the seven FOD model implementations, agreement was weak (R2 < 0.08). Across the 623 paired model-measurement comparisons, the median model-to-measurement ratio was 0.90, 52.6% of modeled values were lower than the measured values, and only 27.0% were within a factor of two. Sensitivity analysis showed that k was the dominant parameter in five of the seven implementations, whereas L0 was dominant in the two IPCC implementations. Con- straining the highest-ranked parameters reduced the weighted mean distance of the measurement-to-model ratio from 1.137 to 1.021, corresponding to a 10.2% improve- ment. The improvement ranged from 2.4% for IPCC Bulk to 16.0% for IPCC Com- position, showing that parameter selection explains part of the model-measurement discrepancy but does not eliminate it. Overall, the tested implementations did not reproduce measured annual landfill CH4 emissions consistently, and the results show the importance of direct measurement for evaluating and improving inventory-based landfill methane estimates.

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