NDLI: Study on the High-Dimension Non-linear Index Model GWS(n,m) for Soil Erosion Simulation and Its Parameters Identification Method

Content Provider	IEEE Xplore Digital Library
Author	Wei Yong-xia Li Na Chen Lijun
Copyright Year	2009
Abstract	Aiming at the problems of great demand of samples, applicability and simulation precision of the routine empirical statistical soil erosion models, based on the reasonable extension of the high-order grey dispersed array dynamic model GWS(n,1) a multivariable high-dimension non-linear index model GWS(n,m)was established. Through the optimization by MATLAB, the searching and identification of the parameters in the non-linear model was come true, and the actual problems of limited sample, non-linear and high-dimension etc. were solved by the model. In the case of artificial rainfall. The simulation results of soil erosion in sloping farmland indicated that the valid coefficient of the model Ef ≫0.91, the average error rate delta ≪6.2%, the stimulation precision was high.
Starting Page	417
Ending Page	421
File Size	335517
Page Count	5
File Format	PDF
ISBN	9780769535074
DOI	10.1109/CSIE.2009.151
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-03-31
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Parameter estimation Error analysis Computer simulation Predictive models Water conservation Surfaces artificial rainfall Equations simulation precision Soil GWS(n Technology forecasting Mathematical model soil erosion m)model parameter identification
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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