RICT Application Status - Running as normal, no known issues.

Please Note: The Anglers Riverfly Monitoring Indices (ARMI) were still in development when we added them to RICT2, so users should treat their predictions from RICT2 as provisional and not use them operationally as they are incorrect.  Definitive versions of ARMI have been incorporated in the latest version of the RIVPACS database, which is available on this website, and we will incorporate them into RICT2 in the following months. A bug is preventing alternative predictors working (velocity for discharge or calcium, conductivity or hardness for alkalinity). Formulae for converting them manually are included in the Technical Specification. Replacement values are also not working, so make sure that your input data has the following minimum values: altitude 1, distance from source 0.1, width 0.1, depth 1, discharge category 1, alkalinity 0.1, slope 0.1. We are working to fix these bugs. At the same time that we work to correct these new bugs, we’ll sort out the Anglers’ Riverfly Monitoring Indices issue, as well as a few other glitches.

 RICT no longer works with Internet Explorer.  If you cannot open an experiment in Azure Studio (classic), try using a different browser.  Google Chrome works, though you have to right click on “Open in Studio (classic)” to bring-up a menu, then select ‘Open in new tab’ or ‘Open in new window’ to open the Microsoft login, and then it will open in Studio as normal.

Version 4 and earlier versions of the RICT2 Data Extraction Template for formatting data from the Environment Agency’s Ecology and Fish Data Explorer extracted the wrong Ntaxa data, corrected in Version 5.


River Invertebrate Prediction & Classification Systems (RIVPACS) & The River Invertebrate Classification Tool (RICT) 

Invertebrate communities are excellent indicators of river health for professionals and amateurs. Biotic indices based on the sensitivity of each species to pollution or the number of different invertebrates help with this. Invertebrate communities and therefore the value of biotic indices vary widely between sites of the same quality, so we can’t use them directly to indicate environmental health. How do we know if what we find in our sample is indicative of a healthy ecosystem?

The River Prediction and Classification System (RIVPACS) model, implemented in RICT software, allows us to determine the proportional reduction in the value of biotic indices, which represents a similar level of damage in any type of stream. RIVPACS predicts the value that we would expect at any site in the UK in its near natural state, from a small number of physical measurements. Comparing this prediction with what we actually find, we can estimate the proportional reduction. We use RICT in this way for the UK’s official river quality assessments and statutory environmental quality objectives. RICT predicts species composition and the values of many different indices. RIVPACS has been developed continuously by ecologists at the FBA River Lab since 1977 and they still support this version of RICT. RICT is freely accessible to anyone including researchers, students, water companies and consultants. The FBA offers training courses for those wanting to learn more.

RICT Application
RICT & RIVPACS, References, Reports & Test Datasets
RICT & RIVPACS User Guides
RICT & RIVPACS Training Courses