01
Groundwater Abstraction
Abstraction → groundwater decline → possible subsidence → higher flood exposure.
Connected Water Systems
Surface Water ↔ Groundwater
Understanding risk across connected water systems.
Why the links matter
Actions and pressures in one part of the water system can create consequences elsewhere. Surface water and groundwater cannot be treated independently.
Illustrative pathways; responses depend on local conditions. Research themes are not automatically current projects.
02
Rainfall Deficit
Rainfall deficit → low flows and reduced recharge → groundwater drought.
03
Contamination
Source → groundwater plume ↔ river–aquifer exchange → receptor exposure.
04
Urbanisation
Impervious cover → more runoff and less infiltration → altered recharge.
Initial Research Focus
Groundwater abstractionLand subsidenceFlood exposure
Current Research
Scoping
Abstraction–Subsidence–Flood Exposure
Connected Water Systems
First research that links the two long-term study areas.
Open research page →Water Quality & Contamination Risk
Contaminants, transport and receptor risk across both water systems.
This is shared research, not a third laboratory. Water quality is a property of a water system, not a system on its own.
CharacteriseIdentifyUnderstandEvaluateConnectAssess
Baseline characterisation
Establish what is present, where, and under what conditions.
Parameter and contaminant selection
Choose measures that answer a question the data can support.
Fate and transport
How contaminants move through surface water and groundwater.
Standards, guidelines and thresholds
Compare observations against published criteria, with uncertainty.
Receptor exposure and risk
Connect concentrations to people, ecosystems and uses.
Catchment applications
River quality · Sediment · Pollutant transport
Basin applications
Groundwater quality · Contaminant plume · Receptor exposure
Data, Monitoring & Digital Systems
Measurements, data checks and shared maps for both laboratories.
This function serves the research laboratories. It is not a separate software unit and does not develop commercial products.
SenseTransmitValidateStoreAnalyseModelCommunicate
Observation
- Field monitoring
- Sensors
- IoT
- Remote sensing
- External data
Data quality
- Calibration
- Validation
- QA/QC
- Metadata
Infrastructure
- Databases
- Data pipelines
- APIs
- Open formats
- Versioning
Modelling
- Physics-based
- Statistics
- ML
- Physics-informed ML
- Hybrid
Interpretation
- Forecasting
- Scenarios
- Uncertainty
- Risk indicators
Research outputs
- Research maps
- Dashboards
- Research prototypes
- Test versions of decision tools
Scientific governance: Fit with the physical system · Baseline comparison · Transparency · Uncertainty · Reproducibility
We use machine learning only when it helps us understand the water system. It is a method, not the brand.
Related Knowledge
Nothing published yet
No Connected Water Systems outputs listed yet.