Journal article

Statistical Interpolation of Groundwater Hydrographs

Tim J Peterson, Andrew W Western

WATER RESOURCES RESEARCH | AMER GEOPHYSICAL UNION | Published : 2018

Abstract

Groundwater observation bores are often monitored irregularly and infrequently. The resulting groundwater hydrographs are consequently less informative for understanding groundwater level trends, seasonality, flow directions, drawdown, and recovery. This paper presents an approach to temporally interpolate a groundwater hydrograph that has an irregular observation frequency to daily time steps. The approach combines nonlinear transfer function noise modeling with temporal kriging of the model residuals to produce an interpolated hydrograph that honors all water level observations input to the modeling and accounts for meteorological forcing between the observations. The reliability of the ap..

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Grants

Awarded by Australian Research Council Linkage Project


Funding Acknowledgements

This research was funded by the Australian Research Council Linkage Project LP130100958 and funding partners, Bureau of Meteorology (Australia), Department of Environment, Land, Water and Planning (Victoria, Australia), Department of Economic Development, Jobs, Transport and Resources (Victoria, Australia), and Power and Water Corporation (Northern Territory, Australia). The data used are specified in Table and are available at http://data.water.vic.gov.au/monitoring.htm.