Within the , all modelling of the potential ecological of coal resource development is organised by, and conditioned upon, . This classification provides a structure that enables qualitative and quantitative modelling at a scale and resolution that is appropriate to the objectives and scale of the BA. Each or has multiple landscape classes grouped into terrestrial and aquatic . Examples of landscape classes are found in product 2.7 (receptor impact modelling) (Figure 3).
The purpose of the landscape classification is to partition the landscape into ecologically similar subunits. The ecological similarities mainly manifest as similar vegetation types (terrestrial landscape group) and similar stream classes (aquatic landscape group) resulting from common geological, geomorphological and/or hydrological characteristics. Importantly, the within each landscape class are assumed to respond in a similar way to any alterations in and/or regimes.
In most instances, the BA landscape classification capitalises on existing aquatic and terrestrial classification schemes and hence links to existing of these ecosystems and their water dependency. These models provide a conceptual understanding of how key ecosystem components and processes are shaped and maintained by surface water and groundwater regimes. The criteria that delineate the landscape classes and the methods used to identify landscape classes within each bioregion or subregion, are summarised by companion submethodology M03 (as listed in Table 1) for assigning receptors to water-dependent s (O’Grady et al., 2016).
For a given bioregion or subregion, only a subset of landscape classes may be affected by . BA identifies landscape classes that could be impacted by coal resource development as those landscape classes that lie wholly or partially within a . The zone of potential hydrological change is defined as the union of the and the . The groundwater zone is conservatively defined as the area with a greater than 5% chance of exceeding 0.2 m of in the relevant .
The surface water zone of potential hydrological change is defined in a similarly conservative manner (companion submethodology M06 (as listed in Table 1) for surface water modelling (Viney, 2016)). For flux-based variables (e.g. the volume or daily flow rate at the 1st ) it is defined by the surface water that exhibit at least a 1% change in the variable, relative to the value, in at least 5% of the model simulations (replicates). For most of the frequency-based variables (e.g. the number of per year or the number of per year), the zone is defined by model nodes that exhibit at least a 5% chance of the same relative magnitude of change (at least 1% compared to baseline) for at least 3 days in any simulated year. For one of the frequency-based metrics (the number of per year in perennial streams), it is defined by a greater than 5% chance of a change in the variable for at least two spells in any year (see companion submethodology M06 (as listed in Table 1) for surface water modelling (Viney, 2016)).
It is important to recognise that the zone of potential hydrological change represents an estimate of those parts of the landscape that are likely to experience at least some level of hydrological change attributable to coal resource development. The zone serves only to distinguish those landscape classes that should be taken into the next step of the receptor impact methodology from those landscape classes that should not, on the grounds that the latter are predicted to experience negligible (or insignificant) exposure to hydrological change due to coal resource development.
METHODOLOGY FINALISATION DATE
- 1 Background and context
- 2 Identification of potentially impacted landscape classes (stage 1)
- 3 Qualitative mathematical modelling (stage 2)
- 4 Identification of hydrological response variables and receptor impact variables (stage 3)
- 5 Development of scenarios for receptor impact model expert elicitation (stage 4)
- 6 Receptor impact modelling workshop (stage 5)
- 7 Receptor impact model estimation (stage 6)
- 8 Receptor impact model prediction (stage 7)
- 9 Content for product 2.7 (receptor impact modelling)
- Contributors to the Technical Programme
- About this submethodology