| technologies-1011 |
Upgraded water treatment trains |
Advanced water treatment technologies |
Treatment |
Water quality data, DBP regulations |
Not specified |
Not specified |
Upgrading water treatment trains to comply with the disinfection by-products standards introduced by the Directive (EU) 2020/2184 |
10.1016/j.coesh.2024.100547 |
101081728 |
intoDBP |
Improved water treatment to meet DBP standards |
| technologies-1012 |
Early Warning System for nutrient run-off in inland water bodies |
Earth observation Data |
Methodological framework |
Inland water body data |
Not specified |
Not specified |
Yes |
10.5281/zenodo.12794920 |
101082035 |
ToDrinQ |
Provides early warning of nutrient runoff in inland water bodies. |
| technologies-1013 |
RootPainter |
Convolutional Neural Network (CNN) |
Software |
Biological images (root images from chicory, soil profiles, soil cores) |
Not specified |
Not specified |
Yes |
10.1111/nph.18387 |
884364 |
SenseFuture |
Deep learning segmentation of biological images with corrective annotation for root length extraction, biopore counting, and root nodule counting. |
| technologies-1014 |
Numerical model for artificial groundwater recharge |
Visual MODFLOW Pro v.2011.1 |
Numerical model |
Aquifer characteristics, recharge data |
Not specified |
Not specified |
Modelling regional effects of artificial groundwater recharge in a multilayer aquifer characterized by perched water tables |
10.1002/hyp.15085 |
101059372 |
STARS4Water |
Estimates the effects of managed recharge on a multilayer aquifer. |
| technologies-1015 |
GIS-based machine learning model for groundwater monitoring |
Machine learning |
Decision support system |
Groundwater data, GIS data |
Not specified |
Not specified |
GIS-based machine learning applications as decision support systems to enhance groundwater monitoring networks |
No DOI available |
101059372 |
STARS4Water |
Enhances groundwater monitoring networks. |
| technologies-1016 |
Machine learning model for nitrate spatial prediction |
Machine learning |
Predictive model |
Groundwater data |
Not specified |
Not specified |
Nitrate spatial predictions by means of machine learning to improve groundwater monitoring networks |
No DOI available |
101059372 |
STARS4Water |
Predicts nitrate spatial distribution in groundwater. |
| technologies-1017 |
GRSD hydrological model |
Semi-distributed hydrological model |
Hydrological model |
River discharge, actual evapotranspiration (MODIS) |
Not specified |
Not specified |
Better mapping of groundwater-surface water exchanges over the Seine River catchment in a surface hydrological model |
10.5194/egusphere-egu24-15833 |
101059372 |
STARS4Water |
Improves mapping of groundwater-surface water exchanges. |
| technologies-1018 |
SentemQC |
Python |
QA/QC software |
High-frequency sensor data (Nitrate, Turbidity, Oxygen, pH) |
|
|
Yes |
10.12688/openreseurope.18134.1 |
101060020 |
NORDBALT-ECOSAFE |
Quality assurance and quality control of high-resolution frequency sensor data in fresh waters |
| technologies-1019 |
Database of TAP monitoring and sourcebook |
Database |
Database |
TAP monitoring data |
Potentially Yes |
No |
No |
No |
101084110 |
TRANSCEND |
Database of Transformational Adaptation Policies (TAP) monitoring information and resources. |
| technologies-1020 |
Water accounting and impact assessment toolbox prototype |
Software |
Toolbox |
Water use data, impact data |
Potentially Yes |
No |
No |
No |
101084110 |
TRANSCEND |
Prototype toolbox for water accounting and impact assessment. |