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Australian gridded chloride deposition-rate dataset
Andy Wilkins1, Russell Crosbie2, Tristan Louth-Robins2
1CSIRO Mineral Resources, Queensland Centre for Advanced Technologies, PO Box 883, Kenmore, Qld 4069, Australia.
Data in Brief
|May 6, 2022
Summary
This study maps chloride deposition rates across Australia using spatial modeling. The resulting dataset provides crucial data for understanding groundwater recharge, salt balance, and hydrochemistry across the continent.
Area of Science:
- Environmental Science
- Geochemistry
- Hydrology
Background:
- Chloride deposition is a key factor influencing hydrological and geochemical processes.
- Accurate spatial data on chloride deposition is essential for environmental assessments in Australia.
Purpose of the Study:
- To upscale point measurements of chloride deposition rates to a continental scale for Australia.
- To create a gridded dataset of chloride deposition rates and associated uncertainties.
Main Methods:
- Upscaling point data to a 0.05° grid using a spatially varying double-exponential correlation model.
- Parameter estimation via least-squares with Tikhonov regularization.
- Uncertainty quantification using calibration-constrained, null-space Monte Carlo analysis.
Main Results:
- A comprehensive dataset of best-fit chloride deposition rates across Australia.
- Quantified uncertainty estimates for the chloride deposition rates.
Conclusions:
- The generated dataset is valuable for various environmental applications.
- Applications include groundwater recharge estimation (chloride mass-balance method), catchment salt balance, hydrogeochemistry studies, and corrosion prediction.
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