Water Quality Acquisition Systems in Australia Address

Water Quality Acquisition Systems in Australia

Address uncertainty Pests Competing demand Loss of species Climate Change Uncertainty ? Urbanization Pollution

Know your WHY • What is / likely / does happen: Monitor & Model & M&E • Fit for Purpose? • Policy • Evidence-based decision making • Regulator, industry and community cooperation

Why

Things to do – add excel

Specialist Hydro-Met Monitoring • Real-time flood forecasting, reservoir modelling and online Decision Support System for hydrology, water quality and flooding • Hydrolog, XPSWMM, SCADA, AEM 3 D+ SOURCE Catchments • Postgres database generation, secondary Postgres database • Warning system and multiple scenario forecasting • Online diagnostic and forecasting system • ORACLE and SQL Server databases integration

Data > Information > Knowledge

Architecture

Engaging Experts

Engage Operators

Engage Decision Makers

WQ data + Model Results

Engaging before Trust communities. Use

Benchmarking: Environmental Report Cards • Synthesise large datasets for multiple sites • Transformative assessment and communication tools • Science to Policy

Water Quality Index (WQI) • Single number to express overall water quality based on range of biological, physical or chemical parameters • Complex > Easy to Use • Geo-spatial and spatio-temporal consolidation

Pilot Study Uttar Pradesh

State to Site • Level 1: Basin Level WQI • Level 2: Site specific WQI Scores • Level 3: Detailed Parameter Information

State to Site: WQI in Victoria • Fully cloud based • Historical WQ data: 20 parameters, ~ 20 years, 200 sites • Watershed > Catchment > Sites • Narrative, spatial and temporal analysis, actions • Automated reporting, update of thresholds (norms), resources • Combined SURFACE WATER / GROUNDWATER

State Regulation of Trans-boundary reporting regions

Water Quality Index: Calculation

Rapid Assessment for Policy

Rapid Assessment for Policy

Where do I monitor?

Lessons from Australia • Use data to assist investment framework • Build Trust among states/stakeholders/users • Whole-of-life-Cycle Cost Assessment • Think ‘downstream’ & ‘off-stream’ • Combine qualitative and quantitative • Consider alternative measures of ‘security’ • The data are used to improve environment

Thank you IMG_3479