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Implementation of robust statistics in the calibration, verification and validation step of model evaluation to better reflect processes concerning total phosphorus load occurring in the catchment

Author

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  • Ostojski, Mieczysław S.
  • Gębala, Joanna
  • Orlińska-Woźniak, Paulina
  • Wilk, Paweł

Abstract

Obtaining a high quality of environmental modeling in the calibration, verification and validation processes causes problems for modelers all over the world. Uncontrolled variability of environmental conditions (diversity of natural phenomena, meteorological and climatic conditions occurring within the drainage basin), inaccuracy of measurement equipment, averaging the data obtained and the errors of human work vitiates data population to a greater or lesser extent. These factors impede the evaluation of modeling, described as the “goodness of fit” of modeling results to that of observational data.

Suggested Citation

  • Ostojski, Mieczysław S. & Gębala, Joanna & Orlińska-Woźniak, Paulina & Wilk, Paweł, 2016. "Implementation of robust statistics in the calibration, verification and validation step of model evaluation to better reflect processes concerning total phosphorus load occurring in the catchment," Ecological Modelling, Elsevier, vol. 332(C), pages 83-93.
  • Handle: RePEc:eee:ecomod:v:332:y:2016:i:c:p:83-93
    DOI: 10.1016/j.ecolmodel.2016.04.004
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    Cited by:

    1. Bae, Sunim & Seo, Dongil, 2021. "Changes in algal bloom dynamics in a regulated large river in response to eutrophic status," Ecological Modelling, Elsevier, vol. 454(C).
    2. Muhammad Mazhar Iqbal & Muhammad Shoaib & Hafiz Umar Farid & Jung Lyul Lee, 2018. "Assessment of Water Quality Profile Using Numerical Modeling Approach in Major Climate Classes of Asia," IJERPH, MDPI, vol. 15(10), pages 1-26, October.
    3. Orlińska-Woźniak, Paulina & Wilk, Paweł & Szalińska, Ewa, 2020. "Delimitation of nutrient vulnerable zones - a comprehensive method to manage a persistent problem of agriculture," Agricultural Systems, Elsevier, vol. 183(C).
    4. Bae, Soonyim & Seo, Dongil, 2018. "Analysis and modeling of algal blooms in the Nakdong River, Korea," Ecological Modelling, Elsevier, vol. 372(C), pages 53-63.

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