Decision Support System
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User guide: ION4RAW DSS
This user guide explains the basic information that the tool user must know to perform a search of mineral deposits and use the search results.
Data sources
The results shown in this tool are exclusively based on data from the ProMine Mineral Deposit database. This was developed through a European co-funded project (2009-2013) as part of EU-FP7, which aimed to stimulate the extractive industry by identification of potential areas of interest in Europe.
Since the ProMine database has not been updated since 2013, some features of the characterised mineral deposits could have changed, especially the metallogenic family.
How to search mineral deposits
The search for mineral deposits with the ION4RAW tool is guided by sequential steps that are enabled as search parameters are input. It should be noted that this version of the tool only allows for selecting one value for each search parameter and only data on European mineral deposits are available.
- Select Metallogenic family of the mineral deposit.
- Select the main product present in the deposit.
- Select the by-product to be recovered from the mining of the product.
- Indicate the location of the mineral deposits, which can be done in two ways:
- By country, selecting one country from a list of countries.
- By coordinates, indicating a radius in km and latitude and longitude expressed in the coordinate system WGS84. This will focus the search in a circular area whose centre is the input geographical location.
- Click on Search button.
Output
Once the search is complete, the tool shows three different areas:
- Search summary: this box contains the search parameters the user has input together with the search mineral deposits.
- Mineral depostis: it is a map in which each deposit is identified with a marker. Clicking on each marker, information of the deposit is displayed: name, ID, country, location, willingness, if the presence of the indicated sub-product has been reported and the register of known mineral content. The willingness is a rank composed of four levels (very favurable, favourable, slightly favourable and unfavurable) that indicates the probability of obtaining the by-product in the deposit. Therefore, it not a result of measurement of the by-product in the deposit, but it is the result of predictivity assessement that was carried on with the methodology, calculations and limits described in ION4RAW D2.1 (Mapping of by-product potential in mineral deposits) and Gourcerol et al. (2022), Predictive assessment of metallogenic signatures using the DataBase Querying (DBQ) method: A European application.
- Metallurgical techniques: this box includes a set of metallurgical techniques for each product and by-product. Each of them are drop-down tab where the metallurgical techniques is described and illuestred with a diagram.
Finally, if the user wants to start a new search, clicking on the New search button, the tool returns to the initial screen. In case the user wants to modify the search, s/he must click on the Edit search button, and the tool returns to the initial screen, maintaining the previously selected search parameters.
Error messages
- No mineral deposits found for the given metallogenic family: there is no mineral deposits that belongs to the selected metallogenic family in the database.
- The ProMine database does not include mineral deposits of the selected country: there is no mineral deposits that belongs to the selected country because the country is not included in the ProMine database. It is necessary to select another country to continue the search.
- ⛔ Missing search parameter(s): there are one or more search parameters that had not been indicated.
- ⛔ Invalid coordinates: the coordinates are not expressed correctly. It must be a decimal number from 0 to 999 with two decimal digits separated by a full stop
Contact
ION4RAW contact person: María Tripiana Serrano (email: maria.tripiana@idener.ai)
For technical issues with the calculator app: maria.tripiana@idener.ai
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 815748