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Entropy Theory for Hydrologic Modeling

Meteorology

  1. Vijay P. Singh

Published Online: 15 APR 2005

DOI: 10.1002/047147844X.me98

Water Encyclopedia

Water Encyclopedia

How to Cite

Singh, V. P. 2005. Entropy Theory for Hydrologic Modeling. Water Encyclopedia. 4:217–223.

Author Information

  1. Louisiana State University, Baton Rouge, Louisiana

Publication History

  1. Published Online: 15 APR 2005

Abstract

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.

Keywords:

  • entropy;
  • flow forecasting;
  • hydrology;
  • hydrologic modeling;
  • hypothesis testing;
  • information;
  • maximum entropy;
  • parameter estimation;
  • risk;
  • spectral analysis;
  • uncertainty