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Empirical Methods for Predicting Eutrophication in Impoundments. Report 1. Phase I. Data Base Development.

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Technical rept.,

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Simple formulations relating nutrient loadings and certain morphologic characteristics to trophic state have provided lake managers one means for describing lake problems and predicting the potential impact of management decisions. While the general utility of such models has been demonstrated for natural lakes, the applicability of models for reservoirs has not received adequate evaluation. This work unit is concerned with the evaluation and possible modification of existing models for predicting water quality and eutrophication potential. This report documents the establishment of a computerized data base containing water quality, hydrologic, and morphometric information for 299 reservoirs operated by the Army Corps of Engineers CE. Sources of information included STORET including the National Eutrophication Survey data, Department of Agriculture sedimentation survey data sheets, project design memoranda and CE District and Division data files. Supplemental sources included maps, project brochures, and reports. Programming for data manipulation and analysis is in the PLI and FORTRAN IV languages. BMDP and SAS programs were employed during preliminary analysis. The data base presently contains over 2.5 million water quality observations taken at 4451 stations located in or around 271 CE reservoirs. Methods for estimating volume and ara variations with elevation, required for volume-averaging of water quality data and for calculating material loadings, were developed. Preliminary analyses have also been performed to assess the importance of spatial and temporal variability to the computation of representative water quality values.

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  • Civil Engineering

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