Time series management

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BlueM.Sim theory

Table of Contents

• Einleitung
• Modellierungstechnische Grundlagen
  • Begriffsdefinitionen
  • Programmstruktur und Datenhaltung
  • Bildung der Zuflussbelastung
  • Berechnungsreihenfolge
  • Simulation types
  • Time series management
• Hydrological Basics
  • Rural Catchments
    • Soil moisture calculation
    • SCS-Method
  • Urban Catchments
  • Individual discharges
  • Transport elements
  • Consumers
  • Branching points
  • Talsperren
    • Betriebsregelkonzept
    • Grundlegende Typen von Betriebsregeln
    • Grundsätze zur Beschreibung von Betriebsregeln
    • Umsetzung der Gesetzmäßigkeiten für die Simulation
    • Anwendung an einem Beispiel
  • Storm-water overflows
  • Regenüberlaufbecken
• Systemübergreifende hydrologische Methoden
  • Speicherbaustein
  • Systemzustände
    • Steuern und Regeln

The time series management is the interface between BlueM and loads into the considered system. The loads are presented in the form of time series. Basically the are stations to which time series can be assigned, differentiated according to the following types: discharge, precipitation, temperature and content.

BlueM uses its own time series format in binary form (BIN). Furthermore time series in the ZRE-Format can be used.

Interpretation of time series

The interpretation of a time series gives vital information about the given time series values respective how the time stamp and the corresponding values are to be understood.

There are five different interpretation types. These types are listed below and depicted graphically in the following figure.

• Instantaneous (e.g. discharge)
• Block right, measured value left
• Block left, measured value right
• Cumulative
• Cumulative per time step (e.g. precipitation)

Using an incorrect interpretation will inevitably lead to incorrect results.

Precipitation in [mm] is mostly given as cumulative per time step. Discharge [m³/s] may be given as Instantaneous or as BlockRight/BlockLeft, depending on how the measured values were recorded respectively and whether they were averaged over a certain time period.