LONG-TERM LAKE WATER-QUALITY PREDICTORS

Daily water temperature and dissolved oxygen profiles in 3002 Minnesot a lakes have been simulated by deterministic process-based water quali ty models with daily meteorological conditions from 1955 to 1979 as in put. From the simulated results, indicators of lake water quality and fish habitat characteristics have been extracted and correlated select ively with normal air temperature, lake mean depth, wind-related densi metric Froude number and Lake number. A seasonal maximum Lake number w as found to be a good predictor for volume averaged water temperatures , maximum water temperatures near lake bottom, seasonal stratification characteristics, volume averaged dissolved oxygen concentrations, ano xia characteristics and fish good-growth habitat. Lakes with a maximum daily Lake number bigger than 1.0, are seasonally stratified, have lo w hypolimnetic dissolved oxygen concentration, and only a fraction of lake depth available for good-growth of fish. Lakes with maximum daily Lake number less than 1.0 are polymictic, with high dissolved oxygen concentration, and with maximum depth available for good fish growth. Empirical formulas for lake water quality and stratification indicator s derived from the simulation results give good predictions of tempera ture and dissolved oxygen characteristics estimated from measurements in seven Minnesota lakes. Copyright (C) 1996 Elsevier Science Ltd