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Satellites may underestimate rice residue and associated burning emissions in Vietnam

In this study, we estimate rice residue, associated burning emissions, and compare results with existing emissions inventories employing a bottom-up approach. We first estimated field-level post-harvest rice residues, including separate fuel-loading factors for rice straw and rice stubble. Results s...

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Autores principales: Lasko, Kristofer, Vadrevu, Krishna P, Tran, Vinh T, Ellicott, Evan, Nguyen, Thanh T N, Bui, Hung Q, Justice, Christopher
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6350917/
https://www.ncbi.nlm.nih.gov/pubmed/30705690
http://dx.doi.org/10.1088/1748-9326/aa751d
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author Lasko, Kristofer
Vadrevu, Krishna P
Tran, Vinh T
Ellicott, Evan
Nguyen, Thanh T N
Bui, Hung Q
Justice, Christopher
author_facet Lasko, Kristofer
Vadrevu, Krishna P
Tran, Vinh T
Ellicott, Evan
Nguyen, Thanh T N
Bui, Hung Q
Justice, Christopher
author_sort Lasko, Kristofer
collection PubMed
description In this study, we estimate rice residue, associated burning emissions, and compare results with existing emissions inventories employing a bottom-up approach. We first estimated field-level post-harvest rice residues, including separate fuel-loading factors for rice straw and rice stubble. Results suggested fuel-loading factors of 0.27 kg m(−2) (±0.033), 0.61 kg m(−2) (±0.076), and 0.88 kg m(−2) (±0.083) for rice straw, stubble, and total post-harvest biomass, respectively. Using these factors, we quantified potential emissions from rice residue burning and compared our estimates with other studies. Our results suggest total rice residue burning emissions as 2.24 Gg PM(2.5), 36.54 Gg CO and 567.79 Gg CO(2) for Hanoi Province, which are significantly higher than earlier studies. We attribute our higher emission estimates to improved fuel-loading factors; moreover, we infer that some earlier studies relying on residue-to-product ratios could be underestimating rice residue emissions by more than a factor of 2.3 for Hanoi, Vietnam. Using the rice planted area data from the Vietnamese government, and combining our fuel-loading factors, we also estimated rice residue PM(2.5) emissions for the entirety of Vietnam and compared these estimates with an existing all-sources emissions inventory, and the Global Fire Emissions Database (GFED). Results suggest 75.98 Gg of PM(2.5) released from rice residue burning accounting for 12.8% of total emissions for Vietnam. The GFED database suggests 42.56 Gg PM(2.5) from biomass burning with 5.62 Gg attributed to agricultural waste burning indicating satellite-based methods may be significantly underestimating emissions. Our results not only provide improved residue and emission estimates, but also highlight the need for emissions mitigation from rice residue burning.
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spelling pubmed-63509172019-01-29 Satellites may underestimate rice residue and associated burning emissions in Vietnam Lasko, Kristofer Vadrevu, Krishna P Tran, Vinh T Ellicott, Evan Nguyen, Thanh T N Bui, Hung Q Justice, Christopher Environ Res Lett Article In this study, we estimate rice residue, associated burning emissions, and compare results with existing emissions inventories employing a bottom-up approach. We first estimated field-level post-harvest rice residues, including separate fuel-loading factors for rice straw and rice stubble. Results suggested fuel-loading factors of 0.27 kg m(−2) (±0.033), 0.61 kg m(−2) (±0.076), and 0.88 kg m(−2) (±0.083) for rice straw, stubble, and total post-harvest biomass, respectively. Using these factors, we quantified potential emissions from rice residue burning and compared our estimates with other studies. Our results suggest total rice residue burning emissions as 2.24 Gg PM(2.5), 36.54 Gg CO and 567.79 Gg CO(2) for Hanoi Province, which are significantly higher than earlier studies. We attribute our higher emission estimates to improved fuel-loading factors; moreover, we infer that some earlier studies relying on residue-to-product ratios could be underestimating rice residue emissions by more than a factor of 2.3 for Hanoi, Vietnam. Using the rice planted area data from the Vietnamese government, and combining our fuel-loading factors, we also estimated rice residue PM(2.5) emissions for the entirety of Vietnam and compared these estimates with an existing all-sources emissions inventory, and the Global Fire Emissions Database (GFED). Results suggest 75.98 Gg of PM(2.5) released from rice residue burning accounting for 12.8% of total emissions for Vietnam. The GFED database suggests 42.56 Gg PM(2.5) from biomass burning with 5.62 Gg attributed to agricultural waste burning indicating satellite-based methods may be significantly underestimating emissions. Our results not only provide improved residue and emission estimates, but also highlight the need for emissions mitigation from rice residue burning. 2017-08-10 2017-08 /pmc/articles/PMC6350917/ /pubmed/30705690 http://dx.doi.org/10.1088/1748-9326/aa751d Text en http://creativecommons.org/licenses/by/3.0/ Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence.
spellingShingle Article
Lasko, Kristofer
Vadrevu, Krishna P
Tran, Vinh T
Ellicott, Evan
Nguyen, Thanh T N
Bui, Hung Q
Justice, Christopher
Satellites may underestimate rice residue and associated burning emissions in Vietnam
title Satellites may underestimate rice residue and associated burning emissions in Vietnam
title_full Satellites may underestimate rice residue and associated burning emissions in Vietnam
title_fullStr Satellites may underestimate rice residue and associated burning emissions in Vietnam
title_full_unstemmed Satellites may underestimate rice residue and associated burning emissions in Vietnam
title_short Satellites may underestimate rice residue and associated burning emissions in Vietnam
title_sort satellites may underestimate rice residue and associated burning emissions in vietnam
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6350917/
https://www.ncbi.nlm.nih.gov/pubmed/30705690
http://dx.doi.org/10.1088/1748-9326/aa751d
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