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Modeling the acid‐base chemistry of organic solutes in Adirondack, New York, lakes
Author(s) -
Driscoll Charles T.,
Lehtinen Michael D.,
Sullivan Timothy J.
Publication year - 1994
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/93wr02888
Subject(s) - total organic carbon , dissolved organic carbon , environmental chemistry , organic acid , chemistry , dissociation (chemistry) , acid neutralizing capacity , organic anion , ion , environmental science , acid deposition , soil science , organic chemistry , soil water
Data from the large and diverse Adirondack Lake Survey were used to calibrate four simple organic acid analog models in an effort to quantify the influence of naturally occurring organic acids on lake water p H and acid‐neutralizing capacity (ANC). The organic acid analog models were calibrated to observations of p H, dissolved organic carbon (DOC), and organic anion (A n− ) concentrations from a reduced data set representing 1128 individual lake samples, expressed as 41 observations of mean p H, in intervals of 0.1 p H units from p H 3.9 to 7.0. Of the four organic analog approaches examined, including the Oliver et al. (1983) model, as well as monoprotic, diprotic, and triprotic representations, the triprotic analog model yielded the best fit (r 2 = 0.92) to the observed data. Moreover, the triprotic model was qualitatively consistent with observed patterns of change in organic solute charge density as a function of p H. A low calibrated value for the first H + dissociation constant ( p K al = 2.62) and the observation that organic anion concentrations were significant even at very low p H (<4) indicate that naturally occurring organic solutes in these waters have strongly acidic functional groups. Inclusion of organic acidity in model calculations resulted in good agreement between measured and predicted values of lake water p H and ANC. Assessments to project the response of surface waters to future changes in atmospheric deposition, through the use of acidification models, will need to include representations of organic acids in model structure to make accurate predictions of p H and ANC.