Time series management: Difference between revisions

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==ZEITREIHENVERWALTUNG==
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Die Zeitreihenverwaltung ist die Schnittstelle von TALSIM zu Belastungen, die in Form von Zeitreihen gegeben sind. Grundsätzlich gibt es Stationen denen Zeitreihen zugeordnet werden können und zwar unterschieden nach den Typen Abfluss, Niederschlag, Verdunstung, Temperatur und Inhalt.
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.


TALSIM benutzt ein eigenes Format in binärer Form. Bevor das Programm mit Zeitreihenwerten arbeiten kann, sind diese in die Verwaltung zu importieren. Folgende Formate sind für den Import vorhanden:
BlueM uses its own time series format in binary form (BIN). Furthermore time series in the [[ZRE-Format]] can be used.  
 
* WEL-Format (Ergebnisse aus TALSIM)
* ZRE-Format (SYDRO Format)
* UVF-Format
* ZRX-Format (WISKI, Fa. Kisters)
* AQZ-Format (Aquacoup, Fa. Aquaplan)
 
===Interpretation von Zeitreihen===


Eine wesentliche Information über die abgelegten Zeitreihenwerte liefert die Interpretation,
==Interpretation of time series==


d.h. wie sind der Zeitstempel und der darauf abgelegte Wert zu verstehen.
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.


Insgesamt gibt es fünf verschiedene Interpretationsarten, die grafisch nachfolgend dargestellt sind.
There are five different interpretation types. These types are listed below and depicted graphically in the following figure.


* Instantaneous (e.g. discharge)
* Block right (timestamp left)
* Block left (timestamp right)
* Cumulative
* Cumulative per time step (e.g. precipitation)


[[Bild:TimeseriesInterpretation.png|600px|Figure 52: Interpretation of time series]]


Using an incorrect interpretation will inevitably lead to incorrect results.


Abbildung 52:Interpretation von Zeitreihen
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.


Falsch eingestellte Interpretationen führen zwangsläufig zu fehlerhaften Ergebnissen. <br />Niederschlag in [mm] liegt in aller Regel als Summenlinie pro Zeitschritt vor. Angaben über den Durchfluss an einer Messstelle hängen von der Messwertaufnahme ab, d.h. wurden bereits über einen Zeitraum gemittelt.
[[Kategorie:BlueM Theorie]]

Latest revision as of 10:09, 15 September 2023

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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 (timestamp left)
  • Block left (timestamp right)
  • Cumulative
  • Cumulative per time step (e.g. precipitation)

Figure 52: Interpretation of time series

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.

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