Predicting the Partial Pressure of Carbon Dioxide in Boreal Lakes
Sixteen boreal lakes in northern Alberta were sampled for a suite of water chemistry parameters, including dissolved carbon dioxide (CO2), using a headspace gas analysis technique. The lakes encompassed a wide range of pH and alkalinity but had very high dissolved organic carbon (DOC) levels (11-36...
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Published in | Canadian water resources journal Vol. 34; no. 4; pp. 415 - 426 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Taylor & Francis Group
22.12.2009
Taylor & Francis Group LLC |
Subjects | |
Online Access | Get full text |
ISSN | 0701-1784 1918-1817 1918-1817 |
DOI | 10.4296/cwrj3404415 |
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Abstract | Sixteen boreal lakes in northern Alberta were sampled for a suite of water chemistry parameters, including dissolved carbon dioxide (CO2), using a headspace gas analysis technique. The lakes encompassed a wide range of pH and alkalinity but had very high dissolved organic carbon (DOC) levels (11-36 mg L−1) and were supersaturated in CO2 with respect to the atmosphere. While the partial pressure of carbon dioxide (pCO2) is regularly estimated from pH and dissolved inorganic carbon (DIC), pH was related to pCO2 at only 13 of 16 lakes and overall pH in combination with DIC was a poor predictor of pCO2. Similarly, despite very high DOC levels, pCO2 was unrelated to the DOC concentration of the lakes. Stepwise multiple linear regressions improved the prediction capability for the entire data set, when compared to simple regressions. Both physicochemical (alkalinity, temperature) and landscape descriptors (lake area, peatland relative area) were important predictors of pCO2. The best regression model included lake area, peatland relative area, and water temperature, and was better able to predict pCO2 than relationships based on DOC, and pH and alkalinity, but lakes with high pCO2 (> 1000 µatm) remain under-predicted and are likely subject to additional factors controlling pCO2 that were not considered in this analysis. |
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AbstractList | Sixteen boreal lakes in northern Alberta were sampled for a suite of water chemistry parameters, including dissolved carbon dioxide (CO2), using a headspace gas analysis technique. The lakes encompassed a wide range of pH and alkalinity but had very high dissolved organic carbon (DOC) levels (11-36 mg L−1) and were supersaturated in CO2 with respect to the atmosphere. While the partial pressure of carbon dioxide (pCO2) is regularly estimated from pH and dissolved inorganic carbon (DIC), pH was related to pCO2 at only 13 of 16 lakes and overall pH in combination with DIC was a poor predictor of pCO2. Similarly, despite very high DOC levels, pCO2 was unrelated to the DOC concentration of the lakes. Stepwise multiple linear regressions improved the prediction capability for the entire data set, when compared to simple regressions. Both physicochemical (alkalinity, temperature) and landscape descriptors (lake area, peatland relative area) were important predictors of pCO2. The best regression model included lake area, peatland relative area, and water temperature, and was better able to predict pCO2 than relationships based on DOC, and pH and alkalinity, but lakes with high pCO2 (> 1000 µatm) remain under-predicted and are likely subject to additional factors controlling pCO2 that were not considered in this analysis. Sixteen boreal lakes in northern Alberta were sampled for a suite of water chemistry parameters, including dissolved carbon dioxide (C[O.sub.2]), using a headspace gas analysis technique. The lakes encompassed a wide range of pH and alkalinity but had very high dissolved organic carbon (DOC) levels (11-36 mg [L.sup.-1]) and were supersaturated in C[O.sub.2] with respect to the atmosphere. While the partial pressure of carbon dioxide (pC[O.sub.2]) is regularly estimated from pH and dissolved inorganic carbon (DIC), pH was related to pC[O.sub.2] at only 13 of 16 lakes and overall pH in combination with DIC was a poor predictor of pC[O.sub.2]. Similarly, despite very high DOC levels, pC[O.sub.2] was unrelated to the DOC concentration of the lakes. Stepwise multiple linear regressions improved the prediction capability for the entire data set, when compared to simple regressions. Both physicochemical (alkalinity, temperature) and landscape descriptors (lake area, peatland relative area) were important predictors of pC[O.sub.2]. The best regression model included lake area, peatland relative area, and water temperature, and was better able to predict pC[O.sub.2] than relationships based on DOC, and pH and alkalinity, but lakes with high pC[O.sub.2] (> 1000 |iatm) remain under-predicted and are likely subject to additional factors controlling pC[O.sub.2] that were not considered in this analysis. Sixteen boreal lakes in northern Alberta were sampled for a suite of water chemistry parameters, including dissolved carbon dioxide (C[O.sub.2]), using a headspace gas analysis technique. The lakes encompassed a wide range of pH and alkalinity but had very high dissolved organic carbon (DOC) levels (11-36 mg [L.sup.-1]) and were supersaturated in C[O.sub.2] with respect to the atmosphere. While the partial pressure of carbon dioxide (pC[O.sub.2]) is regularly estimated from pH and dissolved inorganic carbon (DIC), pH was related to pC[O.sub.2] at only 13 of 16 lakes and overall pH in combination with DIC was a poor predictor of pC[O.sub.2]. Similarly, despite very high DOC levels, pC[O.sub.2] was unrelated to the DOC concentration of the lakes. Stepwise multiple linear regressions improved the prediction capability for the entire data set, when compared to simple regressions. Both physicochemical (alkalinity, temperature) and landscape descriptors (lake area, peatland relative area) were important predictors of pC[O.sub.2]. The best regression model included lake area, peatland relative area, and water temperature, and was better able to predict pC[O.sub.2] than relationships based on DOC, and pH and alkalinity, but lakes with high pC[O.sub.2] (> 1000 |iatm) remain under-predicted and are likely subject to additional factors controlling pC[O.sub.2] that were not considered in this analysis. Seize lacs boreaux du Nord de l'Alberta ont servi dechantillons pour l'etude d'une serie de parametres hydrochimiques, dont le dioxyde de carbone dissous (C[O.sub.2]), a l'aide d'une technique de l'espace de tete. Les lacs comportaient un large eventail de pH et d'alcalinite, mais ils presentaient des niveaux tres eleves de carbone organique dissous (COD), allant de 11 a 36 mg [L.sup.-1], et etaient sursatures de C[O.sub.2] par rapport a l'atmosphere. Bien que la pression partielle de dioxyde de carbone (pC[O.sub.2]) est regulierement estimee a partir du pH et du carbone inorganique dissous (CID), le pH a ete lie a la pC[O.sub.2] a 13 des 16 lacs seulement, et le pH global en combinaison avec le CID etait un pietre predicteur de la pC[O.sub.2]. De meme, malgre des taux de COD tres eleves, la pC[O.sub.2] n'etait pas liee a la concentration en COD des lacs. Grace a la regression lineaire multiple pas a pas, la capacite de prediction a pu etre amelioree pour l'ensemble de donnees au complet, comparativement a la regression simple. A la fois les descripteurs physicochimiques (alcalinite, temperature) et les descripteurs du paysage (superficie du lac, superficie relative de la tourbiere) ont ete d'importants predicteurs de la pC[O.sub.2]. Le meilleur modele de regression incluait la superficie du lac, la superficie relative de la tourbiere et la temperature de l'eau, et pouvait mieux predire la pC[O.sub.2] que les relations basees sur le COD, et le pH et l'alcalinite, mais les lacs ayant une pC[O.sub.2] elevee (> 1000 μatm) demeurent l'objet d'une sous-prediction et sont probablement assujettis a d'autres facteurs exercant un controle sur la pC[O.sub.2], lesquels n'ont pas ete pris en consideration dans la presente analyse. |
Audience | Academic |
Author | Aherne, Julian Watmough, Shaun Whitfield, Colin |
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Snippet | Sixteen boreal lakes in northern Alberta were sampled for a suite of water chemistry parameters, including dissolved carbon dioxide (CO2), using a headspace... Sixteen boreal lakes in northern Alberta were sampled for a suite of water chemistry parameters, including dissolved carbon dioxide (C[O.sub.2]), using a... |
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SubjectTerms | Alberta alkalinity Carbon dioxide Composition dissolved carbon dioxide dissolved inorganic carbon dissolved organic carbon Environmental aspects headspace analysis hydrochemistry inorganic carbon Lakes landscapes Mechanical properties partial pressure peatlands prediction Pressure regression analysis water temperature |
Title | Predicting the Partial Pressure of Carbon Dioxide in Boreal Lakes |
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