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  • 标题:Issues of accounting for outliers in assessing of the nutrients runoff
  • 本地全文:下载
  • 作者:Vladislav Shelutko ; Maria Makarova
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2020
  • 卷号:163
  • 页码:1-6
  • DOI:10.1051/e3sconf/202016303014
  • 出版社:EDP Sciences
  • 摘要:The research work is devoted to the analysis of the highest values of nutrient concentrations in the runoff in the Velikaya River for the period 1969–2009. According to the results of the study, when assessing the numerical characteristics of river water pollution, it is necessary to exclude outliers from the observation series. The presence of outliers in the calculation together with the main observational data leads to a significant overestimation of the numerical characteristics of river pollution in the average annual and multi-year period. In this case, it is necessary to study the characteristics of the outliers themselves, regardless of the initial samples. The paper presents an attempt to define the probability of outliers by combining outliers information on individual observation series.
  • 其他摘要:The research work is devoted to the analysis of the highest values of nutrient concentrations in the runoff in the Velikaya River for the period 1969–2009. According to the results of the study, when assessing the numerical characteristics of river water pollution, it is necessary to exclude outliers from the observation series. The presence of outliers in the calculation together with the main observational data leads to a significant overestimation of the numerical characteristics of river pollution in the average annual and multi-year period. In this case, it is necessary to study the characteristics of the outliers themselves, regardless of the initial samples. The paper presents an attempt to define the probability of outliers by combining outliers information on individual observation series.
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