Index > MSP_I3K_monthly.rsproj

Project File MSP_I3K_monthly.rsproj
Categories
  • River Management Inflow Node
Created By Yong Li
Created Date 15/03/2012
Tested By
Tested Date 15/03/2012
Maintained By
Additional Details Recession Forecast Model - current timestep model Q(t+j)=Q(t)×k^((j)) To test that forecasted inflows from an inflow node based on current time step are correctly allocated together with loss node during order phase and that orders are reduced. Run the model in NetLP mode using different optimised algorithms including RELAX IV , PPRN Without Side-Constraints, PPRN With Side-Constraints forecasted volume of inflow, downstream flow of inflow /storage/min flow node, extracted volume of extraction point, loss volume
Model Information
Output
Functionality
Specification
Created In
Last Saved In 3.4.2.312
Works In Flow Phase
Test Objective Inflow
Status
Team City Result Passed
Execution Time (Minutes) Days: 0, Hours: 0, Minutes: 0, Seconds: 38
Jira Issues
Additional Files I3K_Summary.csv, MSP_I3K-v2.6.2.xls,
LogFile MSP_I3K_monthly.rsproj.txt
Scenarios
  • Scenario Name: I3K
    • Description: Using piecewise linear relationship in Loss node
    • Ordering System Type: Multiple Supply Path Solver
    • OwnerShip Enabled: False
    • Time Step: Monthly
    • Simulation Start: 1/1/2006 12:00:00 AM
    • Simulation End: 6/1/2008 12:00:00 AM
    • Catchments: 0
    • FunctionalUnits:
    • Rainfall Runoff Model:
    • Filtering Model:
    • Links:
      • Straight-Through Routing: 7
    • Nodes:
      • Inflow: 2
      • Supply Point: 1
      • Gauge: 1
      • Minimum Flow Requirement: 1
      • Water User: 1
      • Loss: 1
      • Storage: 1
    • Constituent To Models: