Frequently asked questions

In Eco Risk Projector, a model is a computational process to analyse data based on a set of rules. There are many models available for use in Eco Risk Projector, which have developed based on advice from professionals in the relevant field. Eco Risk Projector contains species based model (i.e. Ambassis Agassizii), flow assessment based model (i.e. lowflow) and generalised/process based model (i.e. waterhole persistence).

All models available on the tool have extensive documentation that can be found on this site, through the models tab. This documentation includes information on the species/process, the rule set the model implements, the data the model requires, the parameters the model takes and finally the results the model produces.

Eco Risk Projector currently has models that use the following timeseries data types: Flow, Depth, Temperature, Rainfall, Salinity, Evaporation, Compliance and Climate. All timeseries data is analysed at a daily timestep, however the computation is designed to handle sub-daily data by first converting it to daily values before analysis.

Additionally, another “other timeseries” data type is present to allow the use of timeseries data that doesn’t fall into any of the other categories. This is commonly used with flow assessment or generalised models (such as spell analysis or rating curve), where any data type can be selected as the data to run analysis on. The only non-timeseries data type currently avaliable is Bathymetry, used by the waterhole model.

Yes, you can run the computation with imperfect data. Gappy, misaligned or otherwise, the computation is designed to handle such cases.

However, to prevent unknown data issues from effecting the validity of results, the default behaviour of the computation is to return an error if any problems with the data are found. Common problems include:

  • Missing dates from a timeseries
  • Invalid values for a date
  • Invalid dates

In the model run tool, you can select the ‘Attempt to run with incomplete data’ checkbox, and specify the infill method to still attempt to run if bad data is provided.

When a model is updated, there are 2 options for the new release. If it is only a minor change that doesn’t effect the results (such as a label, unit or tooltip) the change will happen automatically and there is nothing for you to do.

However, if it is a major change (this is usually a change in the computation that will cause different results, or the addition of new parameters to the model), you will be notified that there is a new version of the model available. Until you choose to update to this new version, your previous model including all parameters and results will not change.

To invite people to a group, first click the profile icon in the top right. From here, you can switch between your groups and manage your account. In order to invite someone to a group, click the “Manage Account” button. From here, select the “Your Groups” tab, where you will again see all your groups. Click on a group to see all the group members (including invited members who have yet to accept their invite) and their role in the group. You can also remove members from your group by clicking the trash icon next to their name. Finally, invite a user to your group through the invite box on the right. Enter their email and click the add icon to invite them. When inviting a user, you can select their role in the group as either an admin or a user.

A user will be able to see and interact with the group’s library (create, move, delete, copy models/systems/folders), however they cannot modify the group (remove/invite users). A group admin is the same as a user; however, they are able to manage the group (including inviting other people as admin).

Yes, you can be both a user and an admin across as many groups as you desire. The explorer will show the library of your active group, which you can quickly change at any time by clicking the profile icon in the top right, and selecting the group you’d like to view from the menu.

When creating a system, you can choose to use data from the WMIP service for certain locations by checking the “Use Observed Data” option for the relevant scenarios. You then edit the relevant locations to add their WMIP gauge number in the “Gauge Number” field. Once this is set up, clicking the “Refresh All Locations” button will pull the latest WMIP flow data for all locations that have a valid gauge ID.

Additionally, you can refresh an individual location by right-clicking the location name and selecting “Refresh Location”. Finally, you can mix and match locations/scenarios that fetch API data with locations/scenarios that don’t in the same system.

Yes, you can get a custom model or other additional functionality built and added to Eco Risk Projector. Use the contact form to inquire with us about the feasibility and cost of your request.