Abstract
A classified method for basin floods is proposed based on the variable fuzzy sets theory. This method is used here to classify the basin floods of Dahuofang region. According to the classification the parameters of the flood forecasting model are optimised with in each class and used to forecast the corresponding type of basin floods. The classified forecast results show that the proposed method is reasonable and valuable to forecast the basin floods with good results in simulation and verification. This simple method also can be used in many kinds of multi-objective classification problems.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Franchini, M., Galeati, G.: Comparing several genetic algorithm schemes for the calibration of conceptual rainfall-runoff models. Hydrological Sciences Journal-Journal Des Sciences Hydrologiques 42(3), 357–379 (1997)
Yu, P.S., Yang, T.C.: Fuzzy multi-objective function for rainfall- runoff model calibration. Journal of Hydrology 238, 1–14 (2000)
Madsen, H.: Automatic calibration of a conceptual rainfall–runoff model using multiple objectives. Journal of Hydrology 235, 276–288 (2000)
Wang, Q.J.: The genetic algorithm and its application to calibrating conceptual rainfall-runoff models. Water resources research 27, 2467–2471 (1991)
Kuczera, G.: Efficient subspace probabilistic parameter optimization for catchment models. Water resources research 33, 177–185 (1997)
Yapo, P.O., Gupta, H.V.: Soroosh Sorooshian: Multi-objective global optimization for hydrologic models. Journal of Hydrology 204, 83–97 (1998)
Chen, S.Y.: Theories and methods of variable fuzzy set in water resources and flood control system. Dalian University of Technology Press (2005)
Chen, S.Y.: Engineering fuzzy set theory and application. National Defence Industry Press, Beijing (1998)
Chen, S.Y.: Fuzzy recognition theory and application for complex water resources system optimization. Jilin University press (2002)
Chen, S.Y., Guo, Y.: Variable fuzzy sets and its application in comprehensive risk evaluation for flood-control engineering system. Fuzzy Optimization and Decision Making 5(2), 153–162 (2006)
Chen, S.Y., Fu, G.T.: A drastic-based fuzzy pattern recognition methodology for groundwater vulnerability evaluation. International Association of Hydrological Sciences 45(2), 308–312 (2002)
Chen, S.Y.: Non-structured decision making analysis and fuzzy optimum seeking theory for multi-objective systems. Journal of Fuzzy Mathematics 4(4), 835–842 (1996)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Li, M., Chen, Sy. (2010). Fuzzy Variable Classified Method and Its Application in Basin Floods. In: Cao, By., Wang, Gj., Guo, Sz., Chen, Sl. (eds) Fuzzy Information and Engineering 2010. Advances in Intelligent and Soft Computing, vol 78. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14880-4_69
Download citation
DOI: https://doi.org/10.1007/978-3-642-14880-4_69
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14879-8
Online ISBN: 978-3-642-14880-4
eBook Packages: EngineeringEngineering (R0)