T1. Initial risk assessment
The tool represents an easy-to-use instrument to evaluate the viability of a MAR project and the preliminary assessment of human health and environmental risks. The tool has two parts:
A) Estimation of groundwater hydraulic residence times during subsurface passage. Read more
The tool can be accessed after free user registration on the INOWAS platform.
B) Quantitative microbial risk assessment (QMRA) of MAR schemes, including hazard identification, exposure assessment, dose analysis and risks characterisation. The risk can be assessed for selected reference pathogens such as bacterial, protozoan and viral pathogens for different hydraulic residence times during MAR.
The documentation is still under development but the tool can already be accessed after free user registration on the INOWAS platform.
T2. Real-time monitoring and control
This tool aims at facilitating the operational management of MAR sites. The tool includes a web-based monitoring system developed for real-time integration of time series data into the INOWAS modelling platform. Sensors installed at MAR facilities worldwide can be connected to the INOWAS platform to transfer collected data in real time. The data can be visualised, processed, downloaded and prepared for further usage, e.g. as a boundary or observation point in a real-time groundwater flow model. Read more
T3. Automatic model update and simulations
Real-time observations collected from MAR sites can be integrated into the web-based modelling workflow. The system relies on existing groundwater modelling capabilities of the INOWAS platform, which were expanded by adding additional features. The integration of real-time monitoring data into the simulation workflow enables fast response times and optimised management, which helps to minimize and control the associated risks. Read more
T4. Predictions for advanced system management
The tool will allow building climate change and development scenarios in the groundwater flow models to predict future boundary conditions and compare them to the present situation using the INOWAS Scenario Analyser. This will provide a novel way of using real-time, web-based groundwater models to assess the effects of climate change urbanisation, land use change (irrigation demand) and population growth on spatial and temporal water availability. Tool under development.