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Updated: Jun 16, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
Extreme value statistics for river quality simulations
N Schindler1, J Tränckner, P Krebs
1Institute for Urban Water Management, Dresden, Germany. nora.schindler@tu-dresden.de
Abstract:
Various methods have been proposed to assess intermittent pollution loads and impacts on rivers in urban areas. Although the variables to describe the impact are mainly the same, the standards show significant differences in the assessment of permitted concentration level, duration and return period. The probability of an event is derived using either frequencies of occurrence or predefined extreme value distributions. Both methods have drawbacks. To bypass these, an a posteriori estimation of the statistical distribution of data based on the peak-over-threshold method is proposed. The method is exemplarily demonstrated using a semi-virtual case study.
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