Assessment and prediction of water quality parameters in Lake Köyceğiz using artificial neural network approach

Özçelik, Oya
Water quality monitoring plays a significant role on water resources management and planning. European Union (EU) Water Framework Directive aims to achieve “good status” for all waters.. Within the adaptation period to EU, Turkey aims to improve its water quality monitoring network; however, this will lead to time, budget and human resources problems. Purpose of this thesis is the application of a method that will provide water quality assessment (WQA) under limited budget and data conditions. The method was applied to Lake Köycegiz that is located in Muğla at junction point of Mediterranean and Aegean regions and has nearly 5500 ha surface area. WQA based on multivariate statistical analysis (hypothesis testing and principal component analysis (PCA)) was conducted and water quality status of Lake Köyceğiz and its tributaries were determined based on Surface Water Quality Management Regulation. The results showed that the lake is eutrophic and although there are seasonal differences for water quality parameters, there is no spatial difference between different locations of Lake Köycegiz. In addition, PCA explains the main pollution causes to the lake as fertilizer use in the area or wastewater discharge. Artificial neural network (ANN) approach was performed to predict water quality parameters in the lake using monthly measured water quality parameters of tributaries as input. Different input combinations and performance criteria were tried to find the best predictions. Results revealed low error and high correlation values between measured and estimated parameters. These results indicate great potential of ANNs to predict water quality parameters.


Estimation of river flow by artificial neural networks and identification of input vectors susceptible to producing unreliable flow estimates
Kentel Erdoğan, Elçin (Elsevier BV, 2009-09-15)
Reliable river flow estimates are crucial for appropriate water resources planning and management. River flow forecasting can be conducted by conceptual or physical models, or data-driven black box models. Development of physically-based models requires an understanding of ail the physical processes which impact a natural process and the interactions among them. Since identification of the relationships among these physical processes is very difficult, data-driven approaches have recently been utilized in h...
Spatial data analysis for monitoring and prediction of selected water quality parameters in reservoirs: Porsuk Dam reservoir case
Yenilmez, Firdes; Aksoy, Ayşegül; Düzgün, H. Şebnem; Department of Environmental Engineering (2014)
In the design of a water quality monitoring network, selection of water quality sampling locations is crucial to adequately represent the water quality of the water body when high costs of analyses and field work are taken into account. In this study, a new approach was proposed to identify the representative water quality sampling locations in reservoirs and lakes using geostatistical tools for estimation of spatial distribution of selected water quality parameters. To do so, kernel density estimation (KDE...
SOYUPAK, S; Gökçay, Celal Ferdi; YERLI, S; ERDEN, S; AKBAY, N; CILESIZ, AF (1994-03-01)
Water quality properties and trophic status of Keban Dam Reservoir have been assessed in detail. The dissolved oxygen contours exhibited somewhat unusual behaviour of temporarily established intermediate layers of low dissolved oxygen concentrations. The phytoplankton species were identified and their composition was evaluated. The reservoir is eutrophic in general terms. However, lotic and limnetic zones of the reservoir have shown different trophic status.
Optimal operation of water distribution systems for water quality purposes
Altan Sakarya, Ayşe Burcu (1999-06-09)
A new methodology has been developed for determining the optimal operation of water distribution systems for water quality purposes. The methodology is based upon describing the operation as a discrete time optimal control problem that can be used to determine the optimal operation schedules of the pumps in distribution systems. The solution methodology is based upon a mathematical programming approach resulting in a large scale nonlinear programming problem which can not be solved by using existing nonline...
Optimization of Multireservoir Systems by Genetic Algorithm
Hinçal, Onur; Altan Sakarya, Ayşe Burcu; Ger, A. Metin (2011-03-01)
Application of optimization techniques for determining the optimal operating policy of reservoirs is a major issue in water resources planning and management. As an optimization Genetic Algorithm, ruled by evolution techniques, have become popular in diversified fields of science. The main aim of this study is to explore the efficiency and effectiveness of genetic algorithm in optimization of multi-reservoirs. A computer code has been constructed for this purpose and verified by means of a reference problem...
Citation Formats
O. Özçelik, “Assessment and prediction of water quality parameters in Lake Köyceğiz using artificial neural network approach,” M.S. - Master of Science, Middle East Technical University, 2015.