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Hydrograph estimation with fuzzy chain model

delete2016-07-01
delete18
PRE
AI
Y
Yavuz Selim Güçlü *
DOI：10.1016/j.jhydrol.2016.04.057delete
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摘要

摘要

En 中文
Hydrograph peak discharge estimation is gaining more significance with unprecedented urbanization developments. Most of the existing models do not yield reliable peak discharge estimations for small basins although they provide acceptable results for medium and large ones. In this study, fuzzy chain model (FCM) is suggested by considering the necessary adjustments based on some measurements over a small basin, Ayamama basin, within Istanbul City, Turkey. FCM is based on Mamdani and the Adaptive Neuro Fuzzy Inference Systems (ANFIS) methodologies, which yield peak discharge estimation. The suggested model is compared with two well-known approaches, namely, Soil Conservation Service (SCS)Snyder and SCS-Clark methodologies. In all the methods, the hydrographs are obtained through the use of dimensionless unit hydrograph concept. After the necessary modeling, computation, verification and adaptation stages comparatively better hydrographs are obtained by FCM. The mean square error for the FCM is many folds smaller than the other methodologies, which proves outperformance of the suggested methodology. (C) 2016 Elsevier B.V. All rights reserved.
Keyword:
Fuzzy
Hydrograph
Peak discharge
SCS
Snyder
Clark
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对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Journal of Hydrology 封面图
Journal of Hydrology
IF:
6.3
论文数:
2.4W
被引数:
9.8W

机构

M
ministry of forestry & water affairs - turkey
学者数:
229
论文数: 184
被引数: 0
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