Entropy Theory for Hydrologic Modeling
Published Online: 15 APR 2005
Copyright © 2005 by John Wiley & Sons, Inc.
How to Cite
Singh, V. P. 2005. Entropy Theory for Hydrologic Modeling. Water Encyclopedia. 4:217–223.
- Published Online: 15 APR 2005
Hydrologic systems are inherently spatial and complex, and our understanding of these systems is less than complete. Many of the systems are either fully stochastic or part stochastic and part deterministic. Their stochastic nature can be attributed to randomness in one or more of the following components that constitute them: (1) system structure (geometry), (2) system dynamics, (3) forcing functions (sources and sinks), and (4) initial and boundary conditions. As a result, a stochastic description of these systems is needed, and entropy theory enables the development of such a description.
- flow forecasting;
- hydrologic modeling;
- hypothesis testing;
- maximum entropy;
- parameter estimation;
- spectral analysis;