MS Thesis Defense
Estimating Lake Water Volume Using Scale Similarity Analysis
The volume of a lake is a crucial component in understanding the different biological, chemical, thermal, and hydrologic processes occurring within it. Minnesota has within its border tens of thousands of lakes, but only a small fraction of those is there any readily available bathymetric information. We applied a previously developed methodology for predicting lake volumes using lake surface area and land surface elevation change for each of the lakes as well as a statistical method to determine total lake volume of the project area through the use of bootstrapping. When comparing known to predicted volumes, the model explained 82% of the variation. The sum difference between the total predicted lake volume and known volumes using the statistical method was less than 2% difference. These models are not only an accurate way to estimate lake volume, but a good steppingstone to help calculate different processes that require a volume.