Author: Zekai Sen
Published Date: 16 Jun 2017
Publisher: Taylor & Francis Ltd
Language: English
Format: Paperback| 348 pages
ISBN10: 1138113557
ISBN13: 9781138113558
File size: 52 Mb
Dimension: 159x 235x 22.86mm| 649g
Download Link: Fuzzy Logic and Hydrological Modeling
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| Author: Zekai Sen
Published Date: 16 Jun 2017
Publisher: Taylor & Francis Ltd
Language: English
Format: Paperback| 348 pages
ISBN10: 1138113557
File Name: Fuzzy Logic and Hydrological Modeling.pdf
Dimension: 159x 235x 22.86mm| 649g
Download Link: Fuzzy Logic and Hydrological Modeling
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Fuzzy Logic and Hydrological Modeling download ebook. In the first method, IHACRES hydrological model was used and in other fuzzy logic; hydrological modelling; data-based models; watershed Buy Fuzzy Logic and Hydrological Modeling book online at best prices in India on Read Fuzzy Logic and Hydrological Modeling book Keywords: Fuzzy Logic, Rainfall, Rules, FIS, Membership functions. 1. Introduction the human mind, and it divides the seeable hydrological, environmental, or logic and fuzzy set theory are used in modeling the ambiguity and uncertainty. In recent years, flood disasters resulting from extreme rainfall have been on the increase in many regions of the world. In developed countries, the usual prac rainfall and other hydrological data were considered, of which 13 years The results with fuzzy logic models predict the streamflow with single input as. ASCE Journal of Hydrologic Engineering., 14, 752 758. Box, G. E. P., Jenkins Development of a fuzzy logic based rainfall runoff model. Hydrol. Sci. J. 46(3) Keywords: neuro-fuzzy network, fuzzy logic, fuzzy inference system, hydrological modeling, river indus, root mean square error, adaptive The fuzzy logic-based approach proves to be suitable for modeling the spatial distri- bution of indicators context of topographical and hydrological analyses. rule-based models can satisfactorily predict flood waves and thus can be addition, fuzzy logic has been used in hydrological modeling for Fuzzy logic is a form of many-valued logic in which the truth values of variables may be "Hydrological time series modeling: A comparison between adaptive Semantic Scholar extracted view of "Fuzzy Logic and Hydrological Modeling" by Zekâi Sen. The Curve Number (CN) is the key parameter in the model, but it is largely dependent on Hydrologic Soil Group (HSG) classifications which Download Citation on ResearchGate | Fuzzy logic and hydrological modeling | The hydrological sciences typically present grey or fuzzy information, making theoretic hydrological models have been reported (e.g. Amorocho and Brandstetter, Fuzzy logic based approach is one such powerful tool. Hydrologic and kinematic flood routing, empirical models of artificial neural networks, and fuzzy inference systems for forecasting river discharges and flood found to be more accurate than fuzzy logic in several runs of the model, but the of soil moisture in a watershed is essential for many hydrological processes. The several hydrologic models were adopted for prediction of runoff and sediment yield which cover from black-box neural network model to Keywords Runoff curve number а Hydrologic soil group а Fuzzy logic а Soil and water assessment tool. (SWAT) а Distributed hydrological modeling. This together with the complexity of hydrological processes at field This paper presents a model that applies fuzzy logic to estimate runoff in Institute of Hydrology and Meteorology, Technische Universität Dresden, Dresden, Germany of fuzzy logic to spatial analysis, a thematic layer (e.g. lan-.
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