WaterWare On-line Manuals: End nodes

WaterWare
Reference &
User Manual

WaterWare On-line Manuals

Release Level

6.2

Release Date

2010 05

Revision Level

1.0

Last modified on: Thursday, 20-May-10 18:27 CEST

WRM web version: End Nodes

A WRM scenario can include any number of well connected end nodes, but must at least have one end (terminal) node. From a mass budget point of view, end nodes EXPORT water from the system.

They have one input (upstream reach/node) and no outflow or downstream reach/node. They have an optional time series of target flow values associated, thus integrating the functions of a control node. Not meeting these target flows defined as upper or lower limit, or as reference flow for calibration, is recorded in the corresponding time series and statistics. Several types of end nodes are therefore available:

end node, passive (just reports outflow)
end node, MINtarget (also reports flows BELOW the target)
end node, MAXtarget (also reports flows ABOVE the target)
end node, combined (reports both ABOVE and BELOW the respective targets)
end node, calibration (reports deviations from the reference flow).

Node Data:

NODE NAME	short but descriptive display name for the node
Type	types include: Passive, MINtarget, MAXtarget, combined, and calibration
Object_link	optional link to a river basin OBJECT of type: estuary or flow monitoring station
MINtarget_TS	time series of mimimum flow requirements
MINtarget_mult	multiplier for time series of mimimum flow requirements
MAXtarget_TS	time series of maximum allowable flow
MAXtarget_mult	multiplier for time series of maximum flow
reference_TS	time series of reference of calibration flow

Dynamic output time series:

A TerminalNode generates the following output time series:

outflow;
shortfall MIN(0,observed_flow - MINtarget);
excess MAX(0,observed_flow - MAXtarget);
deviation (observed_flow-reference_flow)
In addition, summaries are calculated for shortfall and excess (average and total); for deviation the statistics reported are:
- BIAS (difference of means)
- RMSE (root mean square error)
- correlation (co-variance)

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