NDLI: Analysis of Soil Moisture and Overland Flow Generation Using Cellular Automata and Self-Organizing Feature Maps

Content Provider	IEEE Xplore Digital Library
Author	Xiang Zhang Xianqun Hu Tiesong Hu
Copyright Year	2008
Description	Author affiliation: Kunmin Hyroelectric Investig., Design & Res. Inst., Kunmin (Xianqun Hu; Tiesong Hu) \|\| State Key Lab. of Water Resources & hydropower Eng. Sci., Wuhan Univ., Wuhan (Xiang Zhang)
Abstract	Soil moisture is a key component and has a major influence on the generation of overland flow. The space-time self-organizations of soil moisture and overland flow generation in Tarrawarra experimental catchment in Australian are analyzed here. The A-K network, which is the combination of ART neural network and Kohonen neural network, is used to identify the spatial pattern of soil moisture. The semivariograms are calculated for the clustering center of each identified pattern in order to find the structures of variance. The variety of overland flow generating area in catchment is analyzed by using a cellular automata which model the self-organizing incorporation in soil water balance including infiltration, rainfall and evaporation. In this paper, our goal is to find the possible occurrence of self-organization in hydrological process. Some initial results tend to approve the hypothesis.
Starting Page	467
Ending Page	471
File Size	352107
Page Count	5
File Format	PDF
ISBN	9780769533049
DOI	10.1109/ICNC.2008.789
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Soil moisture Subspace constraints Hydroelectric power generation Artificial neural networks Fractals Self-organizing Feature Maps Overland Flow Generation Cellular Automata Design engineering Neural networks Production Australia Water resources Soil Moisture
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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