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Water quality time series for Big Melen stream (Turkey): its decomposition analysis and comparison to upstream

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An Erratum to this article was published on 26 May 2010

Abstract

Big Melen stream is one of the major water resources providing 268 km3 year − 1 of drinking and municipal water for Istanbul. Monthly time series data between 1991 and 2004 for 25 chemical, biological, and physical water properties of Big Melen stream were separated into linear trend, seasonality, and error components using additive decomposition models. Water quality index (WQI) derived from 17 water quality variables were used to compare Aksu upstream and Big Melen downstream water quality. Twenty-six additive decomposition models of water quality time series data including WQI had R 2 values ranging from 88% for log(water temperature) (P ≤ 0.001) to 3% for log(total dissolved solids) (P ≤ 0.026). Linear trend models revealed that total hardness, calcium concentration, and log(nitrite concentration) had the highest rate of increase over time. Tukey’s multiple comparison pointed to significant decreases in 17 water quality variables including WQI of Big Melen downstream relative to those of Aksu upstream (P ≤ 0.001). Monitoring changes in water quality on the basis of watersheds through WQI and decomposition analysis of time series data paves the way for an adaptive management process of water resources that can be tailored in response to effectiveness and dynamics of management practices.

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Authors and Affiliations

  1. Department of Environmental Engineering, Faculty of Engineering and Architecture, Abant Izzet Baysal University, Bolu, Turkey

    N. Karakaya & F. Evrendilek

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  1. N. Karakaya
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  2. F. Evrendilek
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Correspondence to F. Evrendilek.

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An erratum to this article can be found at http://dx.doi.org/10.1007/s10661-010-1521-5

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Karakaya, N., Evrendilek, F. Water quality time series for Big Melen stream (Turkey): its decomposition analysis and comparison to upstream. Environ Monit Assess 165, 125–136 (2010). https://doi.org/10.1007/s10661-009-0932-7

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  • DOI: https://doi.org/10.1007/s10661-009-0932-7

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