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Black-Box Hydrological Models

  • Chong-Yu Xu
  • Lihua Xiong
  • Vijay P. SinghEmail author
Reference work entry

Abstract

This chapter discusses different types of black-box hydrological models that are based on input-output relationships rather than physical principles. They include antecedent precipitation index (API) models, regression models, time series models, artificial neural network (ANN) models, fuzzy logic models, and frequency analysis models. The purpose of this chapter is neither to provide a complete discussion of the theory of hydrological systems nor to offer a complete coverage of the studies published in the literature. Rather, the chapter is focused on presenting general theories and methods of different types of black-box models, basic model forms, and related applications in hydrology and water resources engineering.

Keywords

Black-box Gray-box White-box models Flood forecasting Hydrology 

Notes

Acknowledgment

We are indebted to Yixing Yin, Yukun Hou, Qiang Zeng, and Xin-e Tao for their help in preparation of this chapter with proofreading and in supplying references, drawing figures, rewriting parts of the text, etc. We are also thankful to the two anonymous reviewers whose comments improved this chapter.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of GeosciencesUniversity of OsloOsloNorway
  2. 2.Department of Hydrology and Water ResourcesWuhan UniversityWuhanChina
  3. 3.Department of Biological and Agricultural Engineering and Zachry Department of Civil EngineeringTexas A and M UniversityCollege StationUSA

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