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GroMoPo Metadata for Swan Coastal Plain recharge model


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Created: Feb 08, 2023 at 4:25 a.m.
Last updated: Feb 08, 2023 at 4:26 a.m.
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Abstract

The groundwater resource contained within the sandy aquifers of the Swan Coastal Plain, south-west Western Australia, provides approximately 60 percent of the drinking water for the metropolitan population of Perth. Rainfall decline over the past three decades coupled with increasing water demand from a growing population has resulted in falling dam storage and groundwater levels. Projected future changes in climate across south-west Western Australia consistently show a decline in annual rainfall of between 5 and 15 percent. There is expected to be a reduction of diffuse recharge across the Swan Coastal Plain. This study aims to quantify the change in groundwater recharge in response to a range of future climate and land cover patterns across south-west Western Australia. Modelling the impact on the groundwater resource of potential climate change was achieved with a dynamically linked unsaturated/saturated groundwater model. A vertical flux manager was used in the unsaturated zone to estimate groundwater recharge using a variety of simple and complex models based on climate, land cover type (e. g. native trees, plantation, cropping, urban, wetland), soil type, and taking into account the groundwater depth. In the area centred on the city of Perth, Western Australia, the patterns of recharge change and groundwater level change are not consistent spatially, or consistently downward. In areas with land-use change, recharge rates have increased. Where rainfall has declined sufficiently, recharge rates are decreasing, and where compensating factors combine, there is little change to recharge. In the southwestern part of the study area, the patterns of groundwater recharge are dictated primarily by soil, geology and land cover. In the sand-dominated areas, there is little response to future climate change, because groundwater levels are shallow and much rainfall is rejected recharge. Where the combination of native vegetation and clayey surface soils restricts possible infiltration, recharge rates are very sensitive to reductions in rainfall. In the northern part of the study area, both climate and land cover strongly influence recharge rates. Recharge under native vegetation is minimal and is relatively higher where grazing and pasture systems have been introduced after clearing of native vegetation. In some areas, the recharge values can be reduced to almost zero, even under dryland agriculture, if the future climate becomes very dry.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Australia
North Latitude
-28.2486°
East Longitude
116.3705°
South Latitude
-34.8159°
West Longitude
114.4369°

Content

Additional Metadata

Name Value
DOI 10.5194/hess-16-2709-2012
Depth 100
Scale 10 001 - 100 000 km²
Layers 13
Purpose Groundwater resources;Climate change;Agricultural growth
GroMoPo_ID 199
IsVerified True
Model Code MODFLOW
Model Link https://doi.org/10.5194/hess-16-2709-2012
Model Time SS
Model Year 2012
Model Authors Dawes, W; Ali, R; Varma, S; Emelyanova, I; Hodgson, G; McFarlane, D
Model Country Australia
Data Available Report/paper only
Developer Email warrick.dawes@csiro.au
Dominant Geology Unsure
Developer Country Australia
Publication Title Modelling the effects of climate and land cover change on groundwater recharge in south-west Western Australia
Original Developer No
Additional Information Modelling the impact on the groundwater resource of potential climate change was achieved with a dynamically linked unsaturated/saturated groundwater model. A vertical flux manager was used in the unsaturated zone to estimate groundwater recharge using a variety of simple and complex models based on climate, land cover type (e.g. native trees, plantation, cropping, urban, wetland), soil type, and taking into account the groundwater depth.
Integration or Coupling Water use;Water management
Evaluation or Calibration Static water levels
Geologic Data Availability Unsure

How to Cite

GroMoPo, E. Leijnse (2023). GroMoPo Metadata for Swan Coastal Plain recharge model, HydroShare, http://www.hydroshare.org/resource/2145e73abe874f6ea7a6bca6532bb58e

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

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