Parametric distributions of regional lake chemistry: fitted and derived

Methods for fitting chemical distributions of lake chemistry have been extended by incorporating population weighting factors in parameter estimation, developing a method for including residuals of the pH /acid-neutralizing capacity relationship in the pH distribution factor, and deriving a 3-parame...

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Bibliographic Details
Published in:Environmental science & technology 1988-02, Vol.22 (2), p.196-204
Main Authors: Small, Mitchell J, Sutton, Michael C, Milke, Mark W
Format: Article
Language:English
Subjects:
520200 - Environment, Aquatic- Chemicals Monitoring & Transport- (-1989)
ACID NEUTRALIZING CAPACITY
ACIDEZ
ACIDITE
ACIDITY
AGUA SUPERFICIAL
Applied sciences
CALIDAD DEL AGUA
CATION
CATIONES
CATIONS
CHARGED PARTICLES
CHEMICAL PROPERTIES
CHEMISTRY
Continental surface waters
EAU SUPERFICIELLE
ENVIRONMENTAL SCIENCES
ESTADOS DEL NORDESTE (EUA)
ESTADOS DEL SUDESTE (EUA)
ETATS DU NORD-EST (EU)
ETATS DU SUD-EST (EU)
Exact sciences and technology
FEDERAL REGION V
IONS
LAC
LAGOS
LAKES
Marine
MINNESOTA
MODELE
MODELOS
NATIONAL ORGANIZATIONS
Natural water pollution
NORTH AMERICA
NORTH EASTERN STATES (USA)
PH VALUE
Pollution
QUALITE DE L'EAU
SOUTH EASTERN STATES (USA)
SURFACE WATER
SURFACE WATERS
SURVEYS
US EPA
US ORGANIZATIONS
USA
WATER CHEMISTRY
WATER QUALITY
Water treatment and pollution
WISCONSIN
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Description
Summary:Methods for fitting chemical distributions of lake chemistry have been extended by incorporating population weighting factors in parameter estimation, developing a method for including residuals of the pH /acid-neutralizing capacity relationship in the pH distribution factor, and deriving a 3-parameter log normal distribution for base cations based on a simple relationship with acid-neutralizing capacity. The use of these methods is illustrated by application to data for 4 sub-regions of the U.S. EPA Eastern Lakes Survey, representing a wide range of deposition magnitudes and geological and soil characteristics. Good agreement was obtained with observed data. Possible applications of this approach are indicated. There are 40 references.
ISSN:0013-936X
1520-5851
DOI:10.1021/es00167a011