Development of an artificial neural network model for the estimation of chlorophyll-a in lakes

Download
082438.pdf
1999
Karul, Cüneyt
Show full item record
140
views
0
downloads
Neural networks, Water quality, Eutrophication, Chlorophyll, Lake
https://hdl.handle.net/11511/2504
Graduate School of Natural and Applied Sciences, Thesis

Suggestions

Case studies on the use of neural networks in eutrophication modeling
Karul, C; Soyupak, S; Cilesiz, AF; Akbay, N; Germen, E (2000-10-30)
Artificial neural networks are becoming more and more common to be used in development of prediction models for complex systems as the theory behind them develops and the processing power of computers increase. A three layer Levenberg-Marquardt feedforward learning algorithm was used to model the eutrophication process in three water bodies of Turkey (Keban Dam Reservoir, Mogan and Eymir Lakes). Despite the very complex and peculiar nature of Keban Dam, a relatively good correlation (correlation coefficient...
A new approach to mathematical water quality modeling in reservoirs: Neural networks
Karul, C; Soyupak, S; Germen, E (1998-01-01)
Neural Networks are becoming more and more valuable tools for system modeling and function approximation as computing power of microcomputers increase. Modeling of complex ecological systems such as reservoir limnology is very difficult since the ecological interactions within a reservoir are difficult to define mathematically and are usually system specific. To illustrate the potential use of Neural Networks in ecological modeling, a software was developed to train the data from Keban Dam Reservoir by back...
Comparison of phosphorus reduction alternatives in control of nutrient concentrations in Lake Uluabat (Bursa, Turkey): Partial versus full sediment dredging
YENİLMEZ, Firdes; Aksoy, Ayşegül (2013-01-01)
In this study, Water Quality Analysis Simulation Program (WASP) was used to simulate the impacts of various phosphorus (P) load reduction scenarios on nutrient concentrations in Lake Uluabat, a Ramsar site (a wetland of international importance designated under the Ramsar Convention), including sediment dredging options and source reduction. The model was calibrated for various water constituents including ortho-phosphate (PO43-) and nitrate (NO3-). The calibrated model was used as a management tool to pred...
Development of algorithms and software for forecasting, nowcasting and variability of TEC
Tulunay, E; Senalp, ET; Cander, LR; Tulunay, YK; Bilge, AH; Mizrahi, E; Kouris, SS; Jakowski, N (2004-01-01)
Total Electron Content (TEC) is an important characteristic of the ionosphere relevant to communications. Unpredictable variability of the ionospheric parameters due to various disturbances limits the efficiencies of communications, radar and navigation systems. Therefore forecasting and nowcasting of TEC are important in the planning and operation of Earth-space and satellite-to-satellite communication systems. Near-Earth space processes are complex being highly nonlinear and time varying with random varia...
Simulation of chlorine decay in water supply networks.
Özdemir, Osman N; Sevük, Süha; Ger, A. Metin; Department of Civil Engineering (1997)
Citation Formats
C. Karul, “Development of an artificial neural network model for the estimation of chlorophyll-a in lakes,” Ph.D. - Doctoral Program, Middle East Technical University, 1999.
METU IIS - Integrated Information Service open@metu.edu.tr