Study for Regional Evapotranspiration by Fuzzy Inference System

Chih Hsien Lin; Cheng Chao; Kuei Hsiang Cheng

doi:10.4028/www.scientific.net/AMR.838-841.1776

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 838-841Study for Regional Evapotranspiration by Fuzzy...

Study for Regional Evapotranspiration by Fuzzy Inference System

Abstract:

This paper demonstrates the application of fuzzy inference system (FIS) employed by mapping meteorological data between known inputs (wind speed, relative humidity, temperature, and sunshine radiation) and output (evapotranspiration). The results after training show that the FIS is able to capture the nonlinear feature for evapotranspiration. Moreover, the trained FIS is integrated into geographical statistical technology for the estimation of the regional evapotranspiration, forest and farmland in Dan-Shui Basin as an example. It is found that FIS simulation effectively reduces the amounts of formula parameters, computation time, and diverse procedure, which it can be another efficient mathematical tool to deal with the study of evapotranspiration estimation.

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Periodical:

Advanced Materials Research (Volumes 838-841)

Pages:

1776-1779

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.838-841.1776

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Online since:

November 2013

Authors:

Chih Hsien Lin*, Cheng Chao, Kuei Hsiang Cheng

Keywords:

FIS, Geographical Statistical Technology, Regional Evapotranspiration

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* - Corresponding Author

References

[1] P. H. Sorensen, M. Norgaard, O. Ravn, and N. K. Poulsen: Neurocompudng Vol. 28 (1999), p.37.

Google Scholar

[2] Y.W. Lin in: "Using Geographic Information System to Estimate Regional Evapotranspiration, Master Thesis, Dep. of Civil Engineering, Chung Yuan Christian University, Taiwan R.O. C) (1997).

Google Scholar

[3] C.C. Chen in: Applying Satellite Remote Sensing on Regional Evapotranspiration Estimation, Master Thesis, Dep. of Hydraulic and Ocean Engineering, National Cheng Kung University, Taiwan R.O. C) (2002).

Google Scholar

[4] B.K. Zeng in: "Study on Estimating Evapotranspiration from Satelite Remote Sensing, Master Thesis, Dep. of Hydraulic and Ocean Engineering, National Cheng Kung University Taiwan R.O. C) (2004).

Google Scholar

[5] C. Chao in: Study on Climate Cycle in Taiwan by Adaptive Network-Based Fuzzy Inference System, Doctoral Dissertation, Department of Soil and Water Conservation, National Chung-Hsing University, Taiwan R.O. C) (2008).

Google Scholar

[6] J.S. Jang: IEEE Transactions on Systems, Man, and Cybernetics Vol. 23 (1993), p.665.

Google Scholar

[7] C.Z. Fan in: The Impacts of Climate Changes on Groundwater Recharge in Taiwan, Masters Thesis, Institute of Agriculture Engineering, National Taiwan University, Taiwan (R.O. C) (1998).

Google Scholar