Analyzing Wildland Fire Smoke Emissions Data Using Compositional Data Techniques

By conservation of mass, the mass of wildland fuel that is pyrolyzed and combusted must equal the mass of smoke emissions, residual char, and ash. For a given set of conditions, these amounts are fixed. This places a constraint on smoke emissions data that violates key assumptions for many of the statistical methods ordinarily used to analyze these data such as linear regression, analysis of variance, and t tests. These data are inherently multivariate, relative, and nonnegative parts of a whole and are then characterized as so‐called compositional data. This paper introduces the field of compositional data analysis to the biomass burning emissions community and provides examples of statistical treatment of emissions data. Measures and tests of proportionality, unlike ordinary correlation, allow one to coherently investigate associations between parts of the smoke composition. An alternative method based on compositional linear trends was applied to estimate trace gas composition over a range of combustion efficiency that reduced prediction error by 4% while avoiding use of modified combustion efficiency as if it were an independent variable. Use of log‐ratio balances to create meaningful contrasts between compositional parts definitively stressed differences in smoke emissions from fuel types originating in the southeastern and southwestern United States. Application of compositional statistical methods as an appropriate approach to account for the relative nature of data about the composition of smoke emissions and the atmosphere is recommended.

• Publication year

  2019

• Venue

  Journal of Geophysical Research: Atmospheres

• Publication date

  2019-12-04

• Fields of study

  Environmental Science

• Identifiers
  DOI 10.1029/2019JD032128
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Cox regression survival analysis with compositional covariates: Application to modelling mortality risk from 24-h physical activity patterns

  2019cited by this paper
• Olive oil nutritional labeling by using Vis/NIR spectroscopy and compositional statistical methods

  2019cited by this paper
• The Study of Characteristic Environmental Sites Affected by Diverse Sources of Mineral Matter Using Compositional Data Analysis

  2018cited by this paper
• Linear association in compositional data analysis

  2018influential reference
• Supplementary Information to : Understanding sequencing data as compositions : an outlook and review

  2018cited by this paper
• Applied Compositional Data Analysis: With Worked Examples in R

  2018cited by this paper
• High- and low-temperature pyrolysis profiles describe volatile organic compound emissions from western US wildfire fuels

  2018cited by this paper
• Incorrect interpretation of carbon mass balance biases global vegetation fire emission estimates

  2016cited by this paper
• Paul J. Crutzen: A Pioneer on Atmospheric Chemistry and Climate Change in the Anthropocene

  2016cited by this paper
• Seasonal variations in red pine (Pinus resinosa) and jack pine (Pinus banksiana) foliar physio-chemistry and their potential influence on stand-scale wildland fire behavior.

  2016cited by this paper
• The mathematics of compositional analysis

  2016cited by this paper
• zCompositions — R package for multivariate imputation of left-censored data under a compositional approach

  2015cited by this paper
• Modelling and Analysis of Compositional Data: Pawlowsky-Glahn/Modelling and Analysis of Compositional Data

  2015cited by this paper
• S UPPLEMENTARY MATERIAL S 2 : C ONCISE GUIDE TO COMPOSITIONAL DATA ANALYSIS FOR PHYSICAL ACTIVITY , SEDENTARY BEHAVIOR AND SLEEP RESEARCH

  2015cited by this paper
• Biomass burning emissions and potential air quality impacts of volatile organic compounds and other trace gases from fuels common in the US

  2015cited by this paper
• Cokriging of compositional balances including a dimension reduction and retrieval of original units

  2015cited by this paper
• Particulate and trace gas emissions from prescribed burns in southeastern U.S. fuel types: Summary of a 5-year project

  2015cited by this paper
• Proportionality: A Valid Alternative to Correlation for Relative Data

  2014influential reference
• Comparative study for hardwood and softwood forest biomass: chemical characterization, combustion phases and gas and particulate matter emissions.

  2014cited by this paper
• Aerosol emissions from prescribed fires in the United States: A synthesis of laboratory and aircraft measurements

  2014cited by this paper
• A bootstrap estimation scheme for chemical compositional data with nondetects

  2014cited by this paper
• A Statistical Framework for Calculating and Assessing Compositional Linear Trends Within Fault Zones: A Case Study of the NE Block of the Clark Segment, San Jacinto Fault, California, USA

  2014cited by this paper
• R: A language and environment for statistical computing.

  2014cited by this paper
• Analyzing Compositional Data with R

  2013cited by this paper
• Laboratory characterization of PM emissions from combustion of wildland biomass fuels

  2013cited by this paper
• Combustion efficiency and emission factors for wildfire-season fires in mixed conifer forests of the northern Rocky Mountains, US

  2013cited by this paper
• Influence of fuel moisture, charge size, feeding rate and air ventilation conditions on the emissions of PM, OC, EC, parent PAHs, and their derivatives from residential wood combustion.

  2013cited by this paper
• The Role of Moisture on Combustion of Pyrolysis Gases in Wildland Fires

  2013cited by this paper
• openair - An R package for air quality data analysis

  2012cited by this paper
• Coupling field and laboratory measurements to estimate the emission factors of identified and unidentified trace gases for prescribed fires

  2012cited by this paper
• robCompositions: An R‐package for Robust Statistical Analysis of Compositional Data

  2011cited by this paper
• The Principle of Working on Coordinates

  2011cited by this paper
• Case study of water-soluble metal containing organic constituents of biomass burning aerosol.

  2011cited by this paper
• VOC identification and inter-comparison from laboratory biomass burning using PTR-MS and PIT-MS

  2011cited by this paper
• Compositional data analysis : theory and applications

  2011cited by this paper
• Basic Concepts and Procedures

  2011cited by this paper
• Emission factors for open and domestic biomass burning for use in atmospheric models

  2010cited by this paper
• Measurement of HONO, HNCO, and other inorganic acids by negative-ion proton-transfer chemical-ionization mass spectrometry (NI-PT-CIMS): application to biomass burning emissions

  2010cited by this paper
• Measurements of gas‐phase inorganic and organic acids from biomass fires by negative‐ion proton‐transfer chemical‐ionization mass spectrometry

  2010cited by this paper
• Laboratory measurements of trace gas emissions from biomass burning of fuel types from the southeastern and southwestern United States

  2010cited by this paper
• Particle size distributions from laboratory-scale biomass fires using fast response instruments

  2010cited by this paper
• An R Companion to Applied Regression

  2010cited by this paper
• Reply to “On the Harker Variation Diagrams; …” by J.A. Cortés

  2009cited by this paper
• Emissions of trace gases and aerosols during the open combustion of biomass in the laboratory

  2009cited by this paper
• Characterizing sources of emissions from wildland fires

  2009cited by this paper
• Biomass burning aerosol emissions from vegetation fires: particle number and mass emission factors and size distributions

  2009cited by this paper
• Fire smoke toxicity: The effect of nitrogen oxides

  2008cited by this paper
• the Creative Commons Attribution 3.0 License. Atmospheric Chemistry

  2008cited by this paper
• Modeling chemical and physical processes of wood and biomass pyrolysis

  2008cited by this paper
• Compositional Data Analysis in the Geosciences: from Theory to Practice

  2008cited by this paper
• Bivariate line‐fitting methods for allometry

  2006cited by this paper
• Statistical evaluation of compositional changes in volcanic gas chemistry: a case study

  2006cited by this paper
• Groups of Parts and Their Balances in Compositional Data Analysis

  2005cited by this paper
• Atmospheric Chemistry and Climate in the Anthropocene

  2004cited by this paper
• Statistical modelling of compositional trends in sediments

  2004cited by this paper
• Modelling Compositional Change: The Example of Chemical Weathering of Granitoid Rocks

  2003cited by this paper
• Biplots of Compositional Data

  2002cited by this paper
• Mathematical Foundations of Compositional Data Analysis

  2001influential reference
• Geometric approach to statistical analysis on the simplex

  2001cited by this paper
• Emission of trace gases and aerosols from biomass burning

  2001cited by this paper
• Compositional receptor modeling

  2001cited by this paper
• Combustion Chemistry and Smoke

  2001cited by this paper
• Measurements of excess O3, CO2, CO, CH4, C2H4, C2H2, HCN, NO, NH3, HCOOH, CH3COOH, HCHO, and CH3OH in 1997 Alaskan biomass burning plumes by airborne Fourier transform infrared spectroscopy (AFTIR)

  2000cited by this paper
• Multivariate Analysis

  1998cited by this paper
• Emission factors of hydrocarbons, halocarbons, trace gases and particles from biomass burning in Brazil

  1998cited by this paper
• Emissions from smoldering combustion of biomass measured by open‐path Fourier transform infrared spectroscopy

  1997cited by this paper
• Controlling the false discovery rate: a practical and powerful approach to multiple testing

  1995cited by this paper
• Fire in the Environment: The Ecological, Atmospheric and Climatic Importance of Vegetation Fires.

  1995cited by this paper
• Resolution of Additive Mixtures into Source Components and Contributions: A Compositional Approach

  1994cited by this paper
• Projections of emissions from burning of biomass foruse in studies of global climate and atmospheric chemistry

  1991influential reference
• Importance of biomass burning in the atmospheric budgets of nitrogen-containing gases

  1990cited by this paper
• The Statistical Analysis of Compositional Data

  1988influential reference
• Chemical composition of forest fuels affecting their thermal behavior

  1986cited by this paper
• The Statistical Analysis of Compositional Data

  1986influential reference
• The chemistry of pyrolysis and combustion

  1984cited by this paper
• Applied Regression Analysis (2nd Ed.)

  1982cited by this paper
• Matrices with Applications in Statistics

  1982cited by this paper
• Caloric Value of Some Forest Fuels of the Southern United States

  1969cited by this paper
• Applied Regression Analysis

  1968cited by this paper
• Atmospheric emissions from open burning.

  1967cited by this paper
• Contribution of Burning of Agricultural Wastes to Photochemical Air Pollution

  1966cited by this paper
• Mathematical contributions to the theory of evolution.—On a form of spurious correlation which may arise when indices are used in the measurement of organs

  year unknowncited by this paper

• Variations in Gaseous Emissions from Smoldering Fire of Size-Fractioned Forest Duff Particles

  2025cites this paper
• Comparing gas composition from fast pyrolysis of live foliage measured in bench-scale and fire-scale experiments

  2024cites this paper
• A Method for Generating Quantitative Vapor-phase Infrared Spectra of Solids: Results for Phenol, Camphor, Menthol, Syringol, Dicyclopentadiene and Naphthalene

  2024cites this paper
• Characteristics of Pyrolysis Products of California Chaparral and Their Potential Effect on Wildland Fires

  2024cites this paper
• Comparison of fre-produced gases from wind tunnel and small feld experimental burns

  2022cites this paper
• Impacts of the COVID-19 lockdown measures on coarse and fine atmospheric aerosol particles (PM) in the city of Rome (Italy): compositional data analysis approach

  2022cites this paper
• Projection of future wildfire emissions in western USA under climate change: contributions from changes in wildfire, fuel loading and fuel moisture

  2021cites this paper
• Utilizing two-dimensional gas chromatography time of flight mass spectrometry (GCxGC ToFMS) to characterize volatile products from pyrolysis of living vegetation foliage

  2021cites this paper
• Distribution-Independent Empirical Modeling of Particle Size Distributions—Coarse-Shredding of Mixed Commercial Waste

  2021cites this paper
• Application of compositional data analysis to determine the effects of heating mode, moisture status and plant species on pyrolysates

  2021cites this paper
• Compositional data analysis of smoke emissions from debris piles with low-density polyethylene

  2020influential citation
• Dynamic infrared gas analysis from longleaf pine fuel beds burned in a wind tunnel: observation of phenol in pyrolysis and combustion phases

  2020cites this paper
• The composition of gases from a diffusion flame above longleaf pine needle fuel beds

  year unknowncites this paper