Martin, James L.
Diaz-Ramirez, Jairo N.
McAnally, William H.
Date of Degree
Original embargo terms
MSU Only Indefinitely
Graduate Thesis - Open Access
Master of Science
James Worth Bagley College of Engineering
Department of Civil and Environmental Engineering
This study applies the Sacramento Soil Moisture Accounting Model (SAC-SMA)model to the Upper Black Creek Basin, Mississippi and attempts to improve operational lumped hydrologic model performance. The SAC-SMA is a lumped continuous soil moisture model which is typically calibrated continuously over time to all ranges in flow observed during the life of the gauge except when anthropogenic influences warrant historical data irrelevant. This study shows that persistent land use signatures are evident in the historical data indicating a shorter period of record for calibration is appropriate. This study also quantifies the error introduced to the operational model by inputting radar-derived precipitation estimates during forecast operations while Thiessen gauge weighted estimates are used to calibrate model parameters. Radar derived precipitation was used to calibrate the SAC-SMA model parameters for a shorter period of record than that used in the current operational set. The correlation coefficient improved 5 percent from 86 percent to 91 percent.
Costanza, Katelyn Ermon, "Modeling an Evolving Basin within an Operational Lumped Hydrologic Model by Investigating the Reasons for the Change and Applying a Proper Model Parameter Set" (2013). Theses and Dissertations MSU. 3132.
Available for download on Monday, May 15, 2113