WRM web version: Control nodes
A WRM scenario can include any number of control nodes.
Control nodes report the observed flow or any deviation of the observed flow at a given
location against pre-specified target flow values.
Several types are available:
which differ in their data requirements and the reports they generate.
||short but descriptive display name for the node
|type||types include: passive,MINtarget, MAXtarget, combined, calibration
||optional link to a river basin OBJECT of type: flow monitoring station
||time series of mimimum flow requirements
||multiplier for time series of mimimum flow requirements
||time series of maximum allowable flow
||multiplier for time series of maximum flow
||time series of reference of calibration flow
|reliability threshold|| defines the minimum amount on a daily basis (e.g., 90%)
to consider the demand met. Default: 100%
Dynamic Output Time Series:
A control node generates the following output time series,
depending on the data sets provided:
- shortfall MIN(0,observedflow - MINtarget);
- excess MAX(0,observedflow - MAXtarget);
- deviation (observedflow-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)
- frequencies (%) of daily violations (reliability, excess)
- Input: none;
- Output: throughflowTS
- Input: MINtargetTS and multiplier, reliability threshold;
- Output: throughflow(TS), target(TS), shortfall(TS), reliability (% days where the target is met
with a threshold of % volume) on a daily basis).
- Input: MAXtargetTS, multiplier, exceedance threshold;
- Output: throughflow(TS), target(TS), excess(TS), exceedance%.
- Input: both MINtargetTS and multiplier, MAXtargetTS and multiplier, thresholds;
- Output: throughflow(TS), both targets(TS),
shortfall(TS), reliability; excess(TS), exceedance%.
- Input: reference_TS, multiplier (default: 1.0);
- Output: throughflow(TS), reference_TS, deviation(TS);
BIAS (difference of means), RMSE (root mean square error), correlation (co-variance).