NDLI: Application of adaptive neuro-fuzzy inference system for physical habitat simulation

Content Provider	IEEE Xplore Digital Library
Author	Yue Zhao Jianzhong Zhou Sheng Bi Huajie Zhang
Copyright Year	2013
Description	Author affiliation: Sch. of Hydropower & Inf. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China (Yue Zhao; Jianzhong Zhou; Sheng Bi; Huajie Zhang)
Abstract	Physical habitat simulation is especially significant for river and water resource management. High accuracy in physical habitat simulation is particularly helpful for impact evaluation of dam construction or restoration projects on river ecology. The aim of this study is to use the adaptive neuro-fuzzy inference system (ANFIS) model to simulate spawning habitat suitability of Chinese sturgeon in the middle Yangtze River, China. The proposed habitat model based on ANFIS combines the advantages of a fuzzy inference system as well as easy calibration and optimization, and adaptability nature of an Artificial Neural Network (ANN). By using the proposed method, Chinese sturgeon spawning habitat on the downstream of the Gezhouba Dam was simulated. The result shows that the optimal instream flow range for Chinese sturgeon spawning is about 10000 $m^{3}/s$ ~ 15000 $m^{3}/s.$ Compared with the habitat models based on habitat suitability criteria (HSC) and fuzzy logic, the presented model considers the nonlinear relation between habitat suitability and physical habitat variables such as velocity and water depth, meanwhile it shows superiority in parameter calibration of membership functions.
Sponsorship	IEEE Circuits Syst. Soc.
Starting Page	349
Ending Page	353
File Size	661039
Page Count	5
File Format	PDF
ISBN	9781467352536
DOI	10.1109/FSKD.2013.6816220
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Adaptation models Biological system modeling Computational modeling adaptive network Chinese sturgeon Rivers Fuzzy logic suitable instream flow physical habitat simulation fuzzy inference system Mathematical model Marine animals habitat suitability
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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