The coastal aquifer of Guzelyurt in Cyprus, being the main potable water sources of the area, is ... more The coastal aquifer of Guzelyurt in Cyprus, being the main potable water sources of the area, is threatened by the sea water encroachment, which is the general destiny of the island. The water extracted from the aquifer is mainly used for the irrigation of citrus fruits plantation, being one of the basic export of the country, that is very sensitive to salt tolerance, so the productivity and the fruit bearing capacity of the trees directly influence the economy. Therefore, the amount of water that is utilized continuously within the area is calculated through the available seasonal 20 years data of more than 90 wells with the help of the volumetric (3D) approach. The water balance and the salt balance equations are integrated both in space and time. The inverse methodology is used for the determination of poorly known terms. The variation contours showing the water table levels and the concentration of NaCl have been drawn. The available freshwater volume within the aquifer and its ...
Doctor of Philosophy in Electrical and Electronic Engineering Department. Thesis (Ph. D.)--Easter... more Doctor of Philosophy in Electrical and Electronic Engineering Department. Thesis (Ph. D.)--Eastern Mediterranean University, 1999. Includes bibliographical references (p. 102-110).
The Shah Qasim dam was constructed in 1996 and is located 15 km from south Yasuj city, Iran and h... more The Shah Qasim dam was constructed in 1996 and is located 15 km from south Yasuj city, Iran and having 9 million m3 active volume with a surface area of 670 000 m2. This study evaluates different environmental effects caused by this dam. Wooten and Rau Matrix method has been used to evaluate separately, the physical environmental parameters like micro-climate, air quality, sound, surface water quality and quantity, groundwater quality, the static water level, utilization of surface water, sedimentation, erosion, stability and the soil properties, seismicity effects and the biological environmental parameters such as habitat and herbal effects and socio-economical aspect including population, employment, education, welfare, resettlement, safety and security, cultural and landscapes both in construction and operation periods. The effect of each activity is determined by its importance on that dam. After determining the total effect of these activities, it can be seen that, the Shah Qa...
This study describes the application of Artificial Neural Network (ANN) and Wavelet-Artificial Ne... more This study describes the application of Artificial Neural Network (ANN) and Wavelet-Artificial Neural Network (WANN) models for the prediction of Chloride (Cl-) content of Beshar River at Yasuj, Iran. Both models used 10 years (2002-2012) monthly variations of Shah Mokhtar Gauging Station’s water quality variables (E.C., K+ and Na+) as input parameters. Performance of this models was evaluated using determination coefficient (R2), root mean square error (RMSE) and mean absolute error (MAE). Results showed that, WANN model performance was better than ANN model. The identified WANN model can be used as tools for the computation of water quality parameters.
Prediction of dissolved oxygen (DO) plays an important role in water resources especially in surf... more Prediction of dissolved oxygen (DO) plays an important role in water resources especially in surface waters such as rivers. The oxygen affects a vast number of other water indicators. In this study, the artificial neural network (ANN) and a hybrid wavelet-ANN (WANN) models were considered to predict thirty minutes dissolved oxygen in the River Calder at the Methley Bridge Station was located in the UK. For the proposed WANN model, the discrete wavelet transform (DWT) was linked to the ANN model for DO prediction. To achieve this aim, the original time series of thirty minutes DO and temperature (T) were decomposed in several sub-time series by DWT, and these new sub-series were imposed to the ANN model. The results were compared with single ANN model. The comparisons were done by some of the widely used relevant physical statistic indices. The Nash– Sutcliffe coefficient values were 0.998 and 0.740 for the WANN and ANN models, respectively. The model computed values of DO by the WANN model were in close agreement with respective measured values in the river water. Elimination noise by DWT model during pre-processing data is one of the abilities of the WANN model to better prediction. Since the results indicate closer approximation of the peak DO values by the WANN model, this model could be used for the simulation of cumulative DO data prediction in thirty minutes ahead.
The coastal aquifer of Guzelyurt in Cyprus, being the main potable water sources of the area, is ... more The coastal aquifer of Guzelyurt in Cyprus, being the main potable water sources of the area, is threatened by the sea water encroachment, which is the general destiny of the island. The water extracted from the aquifer is mainly used for the irrigation of citrus fruits plantation, being one of the basic export of the country, that is very sensitive to salt tolerance, so the productivity and the fruit bearing capacity of the trees directly influence the economy. Therefore, the amount of water that is utilized continuously within the area is calculated through the available seasonal 20 years data of more than 90 wells with the help of the volumetric (3D) approach. The water balance and the salt balance equations are integrated both in space and time. The inverse methodology is used for the determination of poorly known terms. The variation contours showing the water table levels and the concentration of NaCl have been drawn. The available freshwater volume within the aquifer and its ...
Doctor of Philosophy in Electrical and Electronic Engineering Department. Thesis (Ph. D.)--Easter... more Doctor of Philosophy in Electrical and Electronic Engineering Department. Thesis (Ph. D.)--Eastern Mediterranean University, 1999. Includes bibliographical references (p. 102-110).
The Shah Qasim dam was constructed in 1996 and is located 15 km from south Yasuj city, Iran and h... more The Shah Qasim dam was constructed in 1996 and is located 15 km from south Yasuj city, Iran and having 9 million m3 active volume with a surface area of 670 000 m2. This study evaluates different environmental effects caused by this dam. Wooten and Rau Matrix method has been used to evaluate separately, the physical environmental parameters like micro-climate, air quality, sound, surface water quality and quantity, groundwater quality, the static water level, utilization of surface water, sedimentation, erosion, stability and the soil properties, seismicity effects and the biological environmental parameters such as habitat and herbal effects and socio-economical aspect including population, employment, education, welfare, resettlement, safety and security, cultural and landscapes both in construction and operation periods. The effect of each activity is determined by its importance on that dam. After determining the total effect of these activities, it can be seen that, the Shah Qa...
This study describes the application of Artificial Neural Network (ANN) and Wavelet-Artificial Ne... more This study describes the application of Artificial Neural Network (ANN) and Wavelet-Artificial Neural Network (WANN) models for the prediction of Chloride (Cl-) content of Beshar River at Yasuj, Iran. Both models used 10 years (2002-2012) monthly variations of Shah Mokhtar Gauging Station’s water quality variables (E.C., K+ and Na+) as input parameters. Performance of this models was evaluated using determination coefficient (R2), root mean square error (RMSE) and mean absolute error (MAE). Results showed that, WANN model performance was better than ANN model. The identified WANN model can be used as tools for the computation of water quality parameters.
Prediction of dissolved oxygen (DO) plays an important role in water resources especially in surf... more Prediction of dissolved oxygen (DO) plays an important role in water resources especially in surface waters such as rivers. The oxygen affects a vast number of other water indicators. In this study, the artificial neural network (ANN) and a hybrid wavelet-ANN (WANN) models were considered to predict thirty minutes dissolved oxygen in the River Calder at the Methley Bridge Station was located in the UK. For the proposed WANN model, the discrete wavelet transform (DWT) was linked to the ANN model for DO prediction. To achieve this aim, the original time series of thirty minutes DO and temperature (T) were decomposed in several sub-time series by DWT, and these new sub-series were imposed to the ANN model. The results were compared with single ANN model. The comparisons were done by some of the widely used relevant physical statistic indices. The Nash– Sutcliffe coefficient values were 0.998 and 0.740 for the WANN and ANN models, respectively. The model computed values of DO by the WANN model were in close agreement with respective measured values in the river water. Elimination noise by DWT model during pre-processing data is one of the abilities of the WANN model to better prediction. Since the results indicate closer approximation of the peak DO values by the WANN model, this model could be used for the simulation of cumulative DO data prediction in thirty minutes ahead.
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