Direct estimation of diffuse gaseous emissions from coal fires: Current methods and future directions

Mark A. Engle; Ricardo A. Olea; Jennifer M.K. O'Keefe; James C. Hower; Nicholas J. Geboy

doi:10.1016/j.coal.2012.10.005

Direct estimation of diffuse gaseous emissions from coal fires: Current methods and future directions

Mark A. Engle, Ricardo A. Olea, Jennifer M.K. O'Keefe, James C. Hower, Nicholas J. Geboy

Earth and Environmental Sciences

Research output: Contribution to journal › Article › peer-review

36 Scopus citations

Abstract

Coal fires occur in nature spontaneously, contribute to increases in greenhouse gases, and emit atmospheric toxicants. Increasing interest in quantifying coal fire emissions has resulted in the adaptation and development of specialized approaches and adoption of numerical modeling techniques. Overview of these methods for direct estimation of diffuse gas emissions from coal fires is presented in this paper. Here we take advantage of stochastic Gaussian simulation to interpolate CO₂ fluxes measured using a dynamic closed chamber at the Ruth Mullins coal fire in Perry County, Kentucky. This approach allows for preparing a map of diffuse gas emissions, one of the two primary ways that gases emanate from coal fires, and establishing the reliability of the study both locally and for the entire fire. Future research directions include continuous and automated sampling to improve quantification of gaseous coal fire emissions.

Original language	English
Pages (from-to)	164-172
Number of pages	9
Journal	International Journal of Coal Geology
Volume	112
DOIs	https://doi.org/10.1016/j.coal.2012.10.005
State	Published - Jun 1 2013

Bibliographical note

Funding Information:
This research was funded by the U.S. Geological Survey Energy Resources Program , the U.S. Geological Survey Venture Capital Fund , and by NASA through a Kentucky Space Consortium grant. Max Hammond, III and Erika Neace (Morehead State University) assisted with collection and processing of diffuse CO 2 flux data from the Ruth Mullins coal fire. The authors would like to thank Allan Kolker (USGS) for suggestions and improvements made on an earlier version of this paper.

Keywords

Coal fires
Emissions
Geostatistics
Greenhouse gases
Sequential Gaussian simulation

ASJC Scopus subject areas

Fuel Technology
Geology
Economic Geology
Stratigraphy

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10.1016/j.coal.2012.10.005

Cite this

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title = "Direct estimation of diffuse gaseous emissions from coal fires: Current methods and future directions",

abstract = "Coal fires occur in nature spontaneously, contribute to increases in greenhouse gases, and emit atmospheric toxicants. Increasing interest in quantifying coal fire emissions has resulted in the adaptation and development of specialized approaches and adoption of numerical modeling techniques. Overview of these methods for direct estimation of diffuse gas emissions from coal fires is presented in this paper. Here we take advantage of stochastic Gaussian simulation to interpolate CO2 fluxes measured using a dynamic closed chamber at the Ruth Mullins coal fire in Perry County, Kentucky. This approach allows for preparing a map of diffuse gas emissions, one of the two primary ways that gases emanate from coal fires, and establishing the reliability of the study both locally and for the entire fire. Future research directions include continuous and automated sampling to improve quantification of gaseous coal fire emissions.",

keywords = "Coal fires, Emissions, Geostatistics, Greenhouse gases, Sequential Gaussian simulation",

author = "Engle, {Mark A.} and Olea, {Ricardo A.} and O'Keefe, {Jennifer M.K.} and Hower, {James C.} and Geboy, {Nicholas J.}",

note = "Funding Information: This research was funded by the U.S. Geological Survey Energy Resources Program , the U.S. Geological Survey Venture Capital Fund , and by NASA through a Kentucky Space Consortium grant. Max Hammond, III and Erika Neace (Morehead State University) assisted with collection and processing of diffuse CO 2 flux data from the Ruth Mullins coal fire. The authors would like to thank Allan Kolker (USGS) for suggestions and improvements made on an earlier version of this paper. ",

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AU - Olea, Ricardo A.

AU - O'Keefe, Jennifer M.K.

AU - Hower, James C.

AU - Geboy, Nicholas J.

N1 - Funding Information: This research was funded by the U.S. Geological Survey Energy Resources Program , the U.S. Geological Survey Venture Capital Fund , and by NASA through a Kentucky Space Consortium grant. Max Hammond, III and Erika Neace (Morehead State University) assisted with collection and processing of diffuse CO 2 flux data from the Ruth Mullins coal fire. The authors would like to thank Allan Kolker (USGS) for suggestions and improvements made on an earlier version of this paper.

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N2 - Coal fires occur in nature spontaneously, contribute to increases in greenhouse gases, and emit atmospheric toxicants. Increasing interest in quantifying coal fire emissions has resulted in the adaptation and development of specialized approaches and adoption of numerical modeling techniques. Overview of these methods for direct estimation of diffuse gas emissions from coal fires is presented in this paper. Here we take advantage of stochastic Gaussian simulation to interpolate CO2 fluxes measured using a dynamic closed chamber at the Ruth Mullins coal fire in Perry County, Kentucky. This approach allows for preparing a map of diffuse gas emissions, one of the two primary ways that gases emanate from coal fires, and establishing the reliability of the study both locally and for the entire fire. Future research directions include continuous and automated sampling to improve quantification of gaseous coal fire emissions.

AB - Coal fires occur in nature spontaneously, contribute to increases in greenhouse gases, and emit atmospheric toxicants. Increasing interest in quantifying coal fire emissions has resulted in the adaptation and development of specialized approaches and adoption of numerical modeling techniques. Overview of these methods for direct estimation of diffuse gas emissions from coal fires is presented in this paper. Here we take advantage of stochastic Gaussian simulation to interpolate CO2 fluxes measured using a dynamic closed chamber at the Ruth Mullins coal fire in Perry County, Kentucky. This approach allows for preparing a map of diffuse gas emissions, one of the two primary ways that gases emanate from coal fires, and establishing the reliability of the study both locally and for the entire fire. Future research directions include continuous and automated sampling to improve quantification of gaseous coal fire emissions.

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KW - Emissions

KW - Geostatistics

KW - Greenhouse gases

KW - Sequential Gaussian simulation

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Direct estimation of diffuse gaseous emissions from coal fires: Current methods and future directions

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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