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Spatially Resolved Measurements of CO(2) and CH(4) Concentration and Gas-Exchange Velocity Highly Influence Carbon-Emission Estimates of Reservoirs

[Image: see text] The magnitude of diffusive carbon dioxide (CO(2)) and methane (CH(4)) emission from man-made reservoirs is uncertain because the spatial variability generally is not well-represented. Here, we examine the spatial variability and its drivers for partial pressure, gas-exchange veloci...

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Autores principales: Paranaíba, José R., Barros, Nathan, Mendonça, Raquel, Linkhorst, Annika, Isidorova, Anastasija, Roland, Fábio, Almeida, Rafael M., Sobek, Sebastian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2017
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5799877/
https://www.ncbi.nlm.nih.gov/pubmed/29257874
http://dx.doi.org/10.1021/acs.est.7b05138
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author Paranaíba, José R.
Barros, Nathan
Mendonça, Raquel
Linkhorst, Annika
Isidorova, Anastasija
Roland, Fábio
Almeida, Rafael M.
Sobek, Sebastian
author_facet Paranaíba, José R.
Barros, Nathan
Mendonça, Raquel
Linkhorst, Annika
Isidorova, Anastasija
Roland, Fábio
Almeida, Rafael M.
Sobek, Sebastian
author_sort Paranaíba, José R.
collection PubMed
description [Image: see text] The magnitude of diffusive carbon dioxide (CO(2)) and methane (CH(4)) emission from man-made reservoirs is uncertain because the spatial variability generally is not well-represented. Here, we examine the spatial variability and its drivers for partial pressure, gas-exchange velocity (k), and diffusive flux of CO(2) and CH(4) in three tropical reservoirs using spatially resolved measurements of both gas concentrations and k. We observed high spatial variability in CO(2) and CH(4) concentrations and flux within all three reservoirs, with river inflow areas generally displaying elevated CH(4) concentrations. Conversely, areas close to the dam are generally characterized by low concentrations and are therefore not likely to be representative for the whole system. A large share (44–83%) of the within-reservoir variability of gas concentration was explained by dissolved oxygen, pH, chlorophyll, water depth, and within-reservoir location. High spatial variability in k was observed, and k(CH(4)) was persistently higher (on average, 2.5 times more) than k(CO(2)). Not accounting for the within-reservoir variability in concentrations and k may lead to up to 80% underestimation of whole-system diffusive emission of CO(2) and CH(4). Our findings provide valuable information on how to develop field-sampling strategies to reliably capture the spatial heterogeneity of diffusive carbon fluxes from reservoirs.
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spelling pubmed-57998772018-02-07 Spatially Resolved Measurements of CO(2) and CH(4) Concentration and Gas-Exchange Velocity Highly Influence Carbon-Emission Estimates of Reservoirs Paranaíba, José R. Barros, Nathan Mendonça, Raquel Linkhorst, Annika Isidorova, Anastasija Roland, Fábio Almeida, Rafael M. Sobek, Sebastian Environ Sci Technol [Image: see text] The magnitude of diffusive carbon dioxide (CO(2)) and methane (CH(4)) emission from man-made reservoirs is uncertain because the spatial variability generally is not well-represented. Here, we examine the spatial variability and its drivers for partial pressure, gas-exchange velocity (k), and diffusive flux of CO(2) and CH(4) in three tropical reservoirs using spatially resolved measurements of both gas concentrations and k. We observed high spatial variability in CO(2) and CH(4) concentrations and flux within all three reservoirs, with river inflow areas generally displaying elevated CH(4) concentrations. Conversely, areas close to the dam are generally characterized by low concentrations and are therefore not likely to be representative for the whole system. A large share (44–83%) of the within-reservoir variability of gas concentration was explained by dissolved oxygen, pH, chlorophyll, water depth, and within-reservoir location. High spatial variability in k was observed, and k(CH(4)) was persistently higher (on average, 2.5 times more) than k(CO(2)). Not accounting for the within-reservoir variability in concentrations and k may lead to up to 80% underestimation of whole-system diffusive emission of CO(2) and CH(4). Our findings provide valuable information on how to develop field-sampling strategies to reliably capture the spatial heterogeneity of diffusive carbon fluxes from reservoirs. American Chemical Society 2017-12-19 2018-01-16 /pmc/articles/PMC5799877/ /pubmed/29257874 http://dx.doi.org/10.1021/acs.est.7b05138 Text en Copyright © 2017 American Chemical Society This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes.
spellingShingle Paranaíba, José R.
Barros, Nathan
Mendonça, Raquel
Linkhorst, Annika
Isidorova, Anastasija
Roland, Fábio
Almeida, Rafael M.
Sobek, Sebastian
Spatially Resolved Measurements of CO(2) and CH(4) Concentration and Gas-Exchange Velocity Highly Influence Carbon-Emission Estimates of Reservoirs
title Spatially Resolved Measurements of CO(2) and CH(4) Concentration and Gas-Exchange Velocity Highly Influence Carbon-Emission Estimates of Reservoirs
title_full Spatially Resolved Measurements of CO(2) and CH(4) Concentration and Gas-Exchange Velocity Highly Influence Carbon-Emission Estimates of Reservoirs
title_fullStr Spatially Resolved Measurements of CO(2) and CH(4) Concentration and Gas-Exchange Velocity Highly Influence Carbon-Emission Estimates of Reservoirs
title_full_unstemmed Spatially Resolved Measurements of CO(2) and CH(4) Concentration and Gas-Exchange Velocity Highly Influence Carbon-Emission Estimates of Reservoirs
title_short Spatially Resolved Measurements of CO(2) and CH(4) Concentration and Gas-Exchange Velocity Highly Influence Carbon-Emission Estimates of Reservoirs
title_sort spatially resolved measurements of co(2) and ch(4) concentration and gas-exchange velocity highly influence carbon-emission estimates of reservoirs
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5799877/
https://www.ncbi.nlm.nih.gov/pubmed/29257874
http://dx.doi.org/10.1021/acs.est.7b05138
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