Prediction of Water Quality Parameters Using Statistical Methods A Case Study in a Specially Protected Area Ankara Turkey

Date

2014-01-15

Author

Yücel, Özge
Özcan, Zeynep
Alp, Emre

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urkey has been making many legal arrangements for sustainable water management during the harmonization process with the European Union. In order to make cost effective and efficient decisions, monitoring network in Turkey has been expanding. However, due to time and budget constraints, desired number of monitoring campaigns can not be carried. Hence, in this study, independent parameters that can be measured easily and quickly are used to estimate water quality parameters in Lake Mogan and Eymir using linear regression. Nonpoint sources are one of the major pollutant components in Eymir and Mogan lakes. In this paper, a correlation between easily measurable parameters, DO, temperature, electrical conductivity, pH, precipitation and dependent variables, TN, TP, COD, Chl-a, TSS, Total Coliform is investigated. Simple regression analysis is performed for each season in Eymir and Mogan lakes by using SPSS Statistical program using the water quality data collected between 2006-2012. Regression analysis demonstrated significant linear relationship between measured and simulated concentrations for TN (R2=0.86), TP (R2=0.85), TSS (R2=0.91), Chl-a (R2=0.94), COD (R2=0.99), T. Coliform (R2=0.97) which are the best results in each season for Eymir and Mogan Lakes. The overall results of this study shows that by using easily measurable parameters even in ungauged situation the water quality of lakes can be predicted. Moreover, the outputs obtained from the regression equations can be used as an input for water quality models such as phosphorus budget model which is used to calculate the required reduction in the external phosphorus load to Lake Mogan to meet the water quality standards.

Subject Keywords

Chemistry of fresh water;, Groundwater quality;, Surface water quality;, Instruments and techniques: monitoring;

URI

https://hdl.handle.net/11511/83710
https://ui.adsabs.harvard.edu/abs/2014AGUFM.H11A0837A/abstract

Conference Name

AGU Fall Meeting, (15 - 19 Aralık 2014)

Collections

Department of Environmental Engineering, Conference / Seminar

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Citation Formats

Ö. Yücel, Z. Özcan, and E. Alp, “Prediction of Water Quality Parameters Using Statistical Methods A Case Study in a Specially Protected Area Ankara Turkey,” presented at the AGU Fall Meeting, (15 - 19 Aralık 2014), 2014, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/83710.