Application of Limited-Field-Data Methods in Reservoir Volume Estimation: A Case Study
Abstract
The conventional approach to estimating lake or reservoir water volumes hinges on field data collection; however, volume estimation methods are available that use little or no field data. Two such methods - the simplified V-A-h (volume-area-height) and the power function - were applied to a set of six anthropogenic reservoirs on the Fort Jackson, South Carolina, installation and checked against a validation data set. Additionally, seven interpolation methods were compared for differences in total volume estimation based on sonar data collected at each reservoir. The simplified V-A-h method overestimated reservoir volume more than each technique in the power function method, and the categorical technique underestimated the most reservoir volumes of all three techniques. Each method demonstrates high Verr variability among reservoirs, and Verr for the Power Function techniques applied here is consistent with that found in previous research in that it is near or less than 30 percent. Compared with Verr in other studies evaluating the simplified V-A-h method, Verr in this study was found to be 10 percent - 20 percent higher.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 01, 2024
- Accession Number
- AD1222753
Entities
People
- Chandler S. Engel
- Daniel T. Vandevort
- Jeffrey D. Ellis
- Shaun R. Stanton
Organizations
- Engineer Research and Development Center