@ARTICLE{Akiner_Muhammed_Ernur_Statistical_2016,
 author={Akiner, Muhammed Ernur and Akkoyunlu, Atilla},
 volume={vol. 42},
 number={No 2},
 journal={Archives of Environmental Protection},
 howpublished={online},
 year={2016},
 publisher={Polish Academy of Sciences},
 abstract={Nutrient pollution such as nitrate (NO3−) can cause water quality degradation in rivers used as a source of drinking water. This situation raises the question of how the nutrients have moved depending on many factors such as land use and anthropogenic sources. Researchers developed several nutrient export coefficient models depending on the aforementioned factors. To this purpose, statistical data including a number of factors such as historical water quality and land use data for the Melen Watershed were used. Nitrate export coefficients are estimates of the total load or mass of nitrate (NO3−) exported from a watershed standardized to unit area and unit time (e.g. kg/km2/day). In this study, nitrate export coefficients for the Melen Watershed were determined using the model that covers the Frequentist and Bayesian approaches. River retention coefficient was determined and introduced into the model as an important variable.},
 type={Artykuły / Articles},
 title={Statistical approach for the estimation of watershed scale nitrate export: a case study from Melen watershed of Turkey},
 URL={http://ochroma.man.poznan.pl/Content/86167/PDF/aep-2016-0019.pdf},
 doi={10.1515/aep-2016-0019},
 keywords={Pollution, river, water quality, retention coefficient, nitrate export coefficients, Frequentist statistics, Bayesian statistics},
}