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Run Banklick with Chama

Initial exploration​

  1. The banklick file that is used in the swmopt2 is not the gold standard Banklick. It is an INP file that has been modified to include what looks like an inlet seals generated for an OSTRICH run.
    1. I will be using the gold standard we use for OSTRICH from the Examples folder in the Ostrich Django program.
  2. I am making folders for 2022 in the chama folders all runs that are from this new iteration are being put in these folders both Example_6Final and Banklick.
  3. The only rain gage that is being used in Banklick gold standard is Raingage_01.
    1. Several runs have been made with a Single Rain gage using alternative rain gages Banklick_PS and Lakeside as opposed to Raingage_01 which as stated above is the default.
    2. Generate Chama Inputs has been done for the three rain gages above.
  4. Looking at the original results there is a lack of signals there are only 5 and we could have 100 why is that.
    1. It looks like the sensors csv only has 8 possibilities. The Example_6 Final version has more.
  5. We do have shape files for Banklick. I have opened it in QGIS.

Current Path​

While witting the QAPP a list of Scenarios were decided on the table can be viewed in the Chama Overview. As part of this effort several runs have been formulated. This is the current formulation of the Banklick Chama effort.

Rain Gages​

Single Rain gage​

In the Banklick files a single rain gage is used by default that rain gage is Raingage_01. This has not changed. Although as stated above in the initial phase multiple single rain gage runs have been made with different rain gages chosen.

Mublitble Rain Gages​

Important Information for this section

  1. Rain gages are assigned in an INP file at the Subcatchment Level.
  2. There are 351 Subcatchments in Banklick.
  3. The initial files we received from SD1 when we got the Banklick network include
    1. inp files
    2. GIS files
  4. Even through we had Multiple INP files revived from SD1 none of the files was using more than Raingage_01 therefore, Setting up multiple rain gages would have to be done by GQC.
  5. The subcatchments are listed alphabetically and they are not in any geographical order.

Banklick has 7 rain gages in the INP file. Also 5 of the 7 rain gages are displayed on the EPA SWMM UI. Therefore when choosing which subcatchments should go under which rain gages after looking at the subcatchments and noticing that the subcatchments are not in any geographic order. The GIS was looked into.

Detailed steps when modifying the Subcatchment Section of the INP.

  1. Opening a QGIS program and adding in the layers and saving this as a project.
  2. Turing on Subcatchment layer and the Map Layer.
  3. Use the technique of zooming out and clicking the identifier pointer to capture a section of the subcatchments. And open the attributes table for that section.
  4. Modify the description category of the selected subcatchments in the attributes table as it was empty and therefore easier to see at a glance if had been added to. I had assigned each rain gage a number and used that to fill in the description. In hindsight using the name of the rain gage might have been more efficient but the numbers worked well for me.
  5. After all the sections of the map were done and all subcatchments had an assigned rain gage number in the description. The Subcatchment layer was exported as a CSV.
  6. Copied and Pulled the Subcatchment section in the INP file into an excel spreadsheet.
  7. Pulled out the name of the subcatchment and description that had the rain gage numbers out of the Subcatchment CSV and placed it in a new page in the excel spreadsheet.
  8. Matched the values for the subcatchment section of the CSV to the Subcatchment Name in the INP section making sure that the order of the INP section was not modified (They were both in alphabetical order for the most part there were a few issues when subcatchments has something like S1a and S1b they sometimes ended up at the end of the file but that was not a hard fix. an If statement in excel was used to compare the names of the subcatchment very quickly.)
  9. Changed the rain gage numbers to the corresponding rain gage names.
  10. Replaced the rain gages from the INP section with the new rain gages.
  11. Pasted the new rain gage section into the INP file and replaced the Tabs with four spaces. (Not really needed as having tabs will not effect the run, but I was trying to keep things consistent)
  12. Ran the New file in SWMM. Making sure it ran without issues.

Plumes​

  1. Plumes are how we are adding in the pollutant to the simulation.
  2. Currently Plumes are being added into the simulation at a subcatchment level using Loadings section of the INP file.
    1. This seams to be the lowest granularity that a plume can be added.
    2. For more information on Pollutants See the Pollutant modeling md file.
  3. Again EPA SWMM UI was used to view the network and decide on plumes loacations of the plumes.
    1. Since Banklick is so much larger than Example6 final more plumes were created.
    2. After identifying the Subcatchments that the plumes would originate in loadings were added for those specific plumes.
      1. There are commented notes for over top of each plume as some plumnes are over more than 1 subcatchment.
      2. All the plumes were added to the INP files but for the single rain gage only one set of loadings are commented in.

Sensor Locations​

  1. The number of possible sensor locations does effect the amount of time it takes to run generate chama inputs.
    1. At 20 locations with Banklick it takes a little over 15 min.
  2. Currently sensor locations are being placed on the Outlet of a junction.
  3. According to SWMM Documentation an Outfalls are terminal nodes of the drainage system used to define final downstream boundaries under Dynamic Wave flow routing. For other types of flow routing they behave as a junction. Only a single link can be connected to an outfall node, and the option exists to have the outfall discharge onto a subcatchment's surface.
    1. Given the definition of an outfall a logical place to put a sensor should be at the outlet of a subcatchment near the outfall as this is a location that should have a good amount of coverage.
  4. There are 3 Outfalls in Banklick.
    1. Therefore 3 sensors were placed on subcatchment outlets closest to the outfalls.
  5. The rest of the sensors (currently we are placing 20 were put at random places around the network.)
    1. In the future we may want to take a look at the number of outlets that appear in more than 1 subcatchment as these might also be good locations.
    2. Also check to see if there is a way in SWMM to see how much water goes through a specific outlet. In example_6 final there are obvious junctions that are good spots to put sensors on because a lot of water is combined from branches of the network into these locations. They are sort of center junctions. I know I am not using the right terminology here but multiple branches of the network are combine down into fewer links.

Current Results​

This is a list of the current scenarios that need to be run for banklick. The scenarios refer to the Chama Overview table. I am currently having an issue with the Multiple rain gages for banklick and I am checking my methodology against the Example 6 Final that appeared to work. So those are in progress.

  • Scenario 1
  • Scenario 2
  • Scenario 3
  • Scenario 4
  • Scenario 5
  • Scenario 6
  • Scenario 7 (In progress)
  • Scenario 8
  • Scenario 9
  • Scenario 10 (In progress)
  • Scenario 11
  • Scenario 12
  • Scenario 13
  • Scenario 14
  • Scenario 15 (In progress)
  • Scenario 16 (In progress)
  • Scenario 17
  • Scenario 18
  • Scenario 19
  • Scenario 20
Last updated on by jacobgqc