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a Warnell School of Forest Resources, Univ. of Georgia, Athens, GA 30602-2152
b Currently, Stetson Engineers, 2171 E. Francisco Blvd., Suite K, San Rafael, CA 94901
* Corresponding author (trasmuss{at}uga.edu)
Received for publication September 1, 2004. Watershed monitoring programs depend on water quality characterization data collected for many parameters, at many times and places, and with limited resources. Our objective is to present a strategy that reduces the measured parameters, locations, and frequency without compromising the quality of the monitoring program. One year of twice-monthly (growing season) and monthly (dormant season) water quality data collected from 17 lake and 10 tributary sites are used in conjunction with multivariate statistical techniques to improve the utility of collected data by identifying key parameters and monitoring locations. Factor analysis shows that tributary water quality data consists of three componentsstormwater runoff, municipal and industrial discharges, and ground waterwhich can be distinguished using total suspended solids, total dissolved solids, and alkalinity plus soluble reactive P, respectively. Lake water quality characterization is more ambiguous than tributary water quality characterization, but factor analysis indicates that anoxia associated with lake stratification is the largest source of lake water quality variation, followed by nutrient abundance, and finally by biomass abundance. Cluster analysis suggests that tributary and lake monitoring stations can be consolidated. Reducing the number of parameters and stations frees up resources for increased monitoring elsewhere.
Abbreviations: ALK, alkalinity Cha, chlorophyll a DFe, dissolved iron DMn, dissolved manganese DOC, dissolved organic carbon DSu, dissolved sulfide NH4, ammonium NOx, nitrite plus nitrate SRP, soluble reactive phosphorus SO4, sulfate TDS, total dissolved solids TFe, total iron TIC, total inorganic carbon TKN, total Kjeldahl nitrogen TMn, total manganese TN, total nitrogen TOC, total organic carbon TP, total phosphorus TSS, total suspended solids
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