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Coupling Water Quality and Economic Modelling

Introducing: Reefonomics

Where and what should we invest in to get the best water quality outcomes for the reef?

The Queensland Water Modelling Network, the Office of the Great Barrier Reef and Truii have created a new, web-based application which combines QDNRME paddock modelling results, QDNRME catchment modelling results, QDAF land management practice adoption data and QDAF economics inputs.

Annually $24M-$40M is invested in land management projects in GBR catchments to improve the quality of water entering the GBR lagoon. This sounds like a lot, but when you consider that this is spread across a contributing catchment area about twice the size of Victoria, the investment is spread very thinly.

What does it do?

To support investment planning, Reefonomics, either:

  • Generates a portfolio of the most cost-effective sub-set of 75 alternative actions distributed spatially across the GBR catchments to achieve A) water quality targets, or B) to meet an investment budget, or
  • Predicts the water quality benefits of a user defined portfolio of investment actions.

Reefonomics provides a novel interface to explore the scenario results by:

  • Exploring different spatial units (regions catchments),
  • Exploring different water quality constituents,
  • Displaying the relative confidence associated with predicted outcomes based on the underlying confidence in the effectiveness of the actions, and
  • Displaying an expected temporal response, to reflect that some actions have a relatively short response time, while others take much longer to achieve the desired outcome.

What are the on-ground actions?

A critical feature of Reefonomics is the ability to define and review the collection of on-ground actions:

  • There are 75 fully populated actions to choose from,
  • You can refine the actions or add your own (even create your own action library),
  • Actions apply across multiple constituents,
  • Actions can be area based, liner or point based (Figure 2),
  • The underlying confidence in actions is captured (Figure 3) and used to communicate uncertainty in the results.

Figure 2: Action setting options

Figure 3: Setting the action confidence

Under the hood

Computational approach

Reefonomics uses a marginal cost abatement curve (MCAC) approach and allows a priori combination of multiple constituents into the MCAC prioritisation (as opposed to a pareto front approach). Results are reported at the sub-catchment scale (46), based on calculations conducted at the micro-catchment scale (5,600 planning units).

What is the starting point?

The base condition of the current constituent loads is from the eWater Source catchment models developed by the QDNRME and QDES Paddock to Reef catchment modelling team. The definition of land management interventions and distribution of current land management practices is derived from the management practice adoption data generated by the QDAF Paddock to Reef team for reef reporting.

How effective are interventions?

The relative efficacy of alternative actions is based on millions of APSIM and HowLeaky simulations of alternative configurations of land management, soil and climate conducted by the Paddock to Reef Paddock modelling team.

What does it cost?

The cost model uses a donor capital (CapEx) and Donor operational (OpEx) cost approach. The QDAF Paddock to Reef economics team are in the process of collating this data.

What’s next?

After a big year of data wrangling, software design and development, Truii is about to enter the testing phase of Reefonomics.

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