Theses and Dissertations

Issuing Body

Mississippi State University

Advisor

Martin, James L.

Committee Member

Diaz-Ramirez, Jairo N.

Committee Member

McAnally, William H.

Date of Degree

5-11-2013

Original embargo terms

MSU Only Indefinitely

Document Type

Graduate Thesis - Campus Access Only

Major

Civil Engineering

Degree Name

Master of Science

College

James Worth Bagley College of Engineering

Department

Department of Civil and Environmental Engineering

Abstract

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.

URI

https://hdl.handle.net/11668/20617

Comments

precipitation||hydrology||lumped model

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