{"name": "APRIORA", "package_name": "apriora", "description": "Estimation of flow and concentration of Active Pharmaceutical Ingredients (API) in a catchment.", "about": "This plugin contains a series of tools divided into two subgroups: Hydro-Module and API emission.\nHydro-Module -> useful to estimate annual mean flow and annual mean low flow in ungauged subcatchments.\nAPI emission -> calculate the load of API from waste water treatment plants and their concentration in the river network. Finally, a risk assessment is performed.\nExternal dependencies: requires the Python libraries 'numpy', 'pandas' and 'scikit-learn'.\n'numpy' is typically pre-installed with QGIS. To install 'pandas' and 'scikit-learn', open the OSGeo4W Shell and run:\npython -m pip install pandas scikit-learn\n(for Windows see: https://landscapearchaeology.org/2018/installing-python-packages-in-qgis-3-for-windows/).\n\nCo-funded by the European Union (ERDF), this #MadeWithInterreg project helps to remove pollutants from our waters.\nProject website: https://interreg-baltic.eu/project/apriora/", "homepage": "https://hosting-apriora-manual.readthedocs.io/en/latest/", "repository": "https://github.com/cridrive66/APRIORA", "tracker": "https://github.com/cridrive66/APRIORA/issues", "author": "Cristiano Guidi", "tags": ["water", "catchment", "river", "risk assessment", "pollutants", "pharmaceutical", "flow estimation", "concentration"], "downloads": 392, "latest_version": "1.1.0", "versions": [{"version": "1.1.0", "experimental": false, "qgis_min": "3.18.0", "qgis_max": "3.99.0", "downloads": 112, "uploaded_by": "cridrive66", "upload_datetime": "2026-06-12T10:45:24.773107"}, {"version": "1.0.1", "experimental": false, "qgis_min": "3.18.0", "qgis_max": "3.99.0", "downloads": 54, "uploaded_by": "cridrive66", "upload_datetime": "2026-06-05T08:15:59.559067"}, {"version": "1.0.0", "experimental": false, "qgis_min": "3.18.0", "qgis_max": "3.99.0", "downloads": 224, "uploaded_by": "cridrive66", "upload_datetime": "2026-04-09T15:16:55.782241"}]}