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River suspended sediment modelling using a fuzzy logic approach
Author(s) -
Kisi Ozgur,
Karahan M. Emin,
Şen Zekai
Publication year - 2006
Publication title -
hydrological processes
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.222
H-Index - 161
eISSN - 1099-1085
pISSN - 0885-6087
DOI - 10.1002/hyp.6166
Subject(s) - fuzzy logic , benchmark (surveying) , sediment , rating curve , streamflow , hydrology (agriculture) , environmental science , benchmarking , computer science , geology , geotechnical engineering , geomorphology , artificial intelligence , geography , cartography , drainage basin , business , geodesy , marketing
Correct estimation of sediment volume carried by a river is very important for many water resources projects. Conventional sediment rating curves, however, are not able to provide sufficiently accurate results. In this paper, a fuzzy logic approach is proposed to estimate suspended sediment concentration from streamflow. This study provides forecasting benchmarks for sediment concentration prediction in the form of a numerical and graphical comparison between fuzzy and rating‐curve models. Benchmarking was based on a 5‐year period of continuous streamflow and sediment concentration data of Quebrada Blanca Station operated by the United States Geological Survey. The benchmark results showed that the fuzzy model was able to produce much better results than rating‐curve models. The fuzzy model proposed in the study is site specific and does not simulate the hysteresis effects. Copyright © 2006 John Wiley & Sons, Ltd.