Accounting for surface–groundwater interactions and their uncertainty in river and groundwater models: A case study in the Namoi River, Australia

Rassam, David; Peeters, Luk; Pickett, Trevor; Jolly, Ian; Holz, Linda

doi:10.1016/j.envsoft.2013.09.004

Cited by 45 publications

(22 citation statements)

References 31 publications

(48 reference statements)

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“…Based on Chen et al (2016), S y = 0.1 is used for the Victoria network. Specific yields of Queensland's network have been found ranging from 0.045 (Rassam et al, 2013) to 0.06 (Welsh, 2008), and an averaged S y = 0.05 is used in this study. Finally, the mean value computed from all data (in each network) is used to represent the in situ data of the network.…”

Section: In Situ Groundwatermentioning

confidence: 99%

On the use of the GRACE normal equation of inter-satellite tracking data for estimation of soil moisture and groundwater in Australia

Tangdamrongsub

Han

Decker

et al. 2018

Hydrol. Earth Syst. Sci.

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Abstract. An accurate estimation of soil moisture and groundwater is essential for monitoring the availability of water supply in domestic and agricultural sectors. In order to improve the water storage estimates, previous studies assimilated terrestrial water storage variation ( TWS) derived from the Gravity Recovery and Climate Experiment (GRACE) into land surface models (LSMs). However, the GRACE-derived TWS was generally computed from the high-level products (e.g. time-variable gravity fields, i.e. level 2, and land grid from the level 3 product). The gridded data products are subjected to several drawbacks such as signal attenuation and/or distortion caused by a posteriori filters and a lack of error covariance information. The postprocessing of GRACE data might lead to the undesired alteration of the signal and its statistical property. This study uses the GRACE least-squares normal equation data to exploit the GRACE information rigorously and negate these limitations. Our approach combines GRACE's least-squares normal equation (obtained from ITSG-Grace2016 product) with the results from the Community Atmosphere Biosphere Land Exchange (CABLE) model to improve soil moisture and groundwater estimates. This study demonstrates, for the first time, an importance of using the GRACE raw data. The GRACE-combined (GC) approach is developed for optimal least-squares combination and the approach is applied to estimate the soil moisture and groundwater over 10 Australian river basins. The results are validated against the satellite soil moisture observation and the in situ groundwater data. Comparing to CABLE, we demonstrate the GC approach delivers evident improvement of water storage estimates, consistently from all basins, yielding better agreement on seasonal and inter-annual timescales. Significant improvement is found in groundwater storage while marginal improvement is observed in surface soil moisture estimates.

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Section: In Situ Groundwatermentioning

confidence: 99%

On the use of the GRACE normal equation of inter-satellite tracking data for estimation of soil moisture and groundwater in Australia

Tangdamrongsub

Han

Decker

et al. 2018

Hydrol. Earth Syst. Sci.

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“…Hydraulic permeability ranges from 5.5 × 10 −5 to 6.4 × 10 −4 m s −1 (UWA) and 4.0 × 10 −5 to 2.6 × 10 −4 m s −1 (WSA). The hydraulic conductivity of the Weichselian till was measured in the Quillow catchment by Rieckh et al (2012), producing values between 1.9 × 10 −6 and 8.1 × 10 −7 m s −1 . However, we expect even lower values to prevail (1 × 10 −7 m s −1 ).…”

Section: Hydraulic Datamentioning

confidence: 99%

“…The cause-effect chains of different impacts often remain unclear. A variety of issues such as decreasing groundwater levels caused by climate change, nutrient leaching due to intensive agricultural land use and groundwatersurface water interaction have to be considered (Ficklin et al, 2013;Rassam et al, 2013). For this reason, this database, including complex geochemical and hydraulic interactions, can be used for further studies regarding a 14-year period of groundwater measurements under the impact of global change.…”

Section: Introductionmentioning

confidence: 99%

Data on geochemical and hydraulic properties of a characteristic confined/unconfined aquifer system of the younger Pleistocene in northeast Germany

Merz

Steidl

2015

Earth Syst. Sci. Data

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Abstract. The paper presents a database of hydrochemical and hydraulic groundwater measurements of a younger Pleistocene multilayered, unconfined/confined aquifer system in NE Germany. The Institute of Landscape Hydrology of the Leibniz Centre for Agricultural Landscape Research (ZALF) operates seven groundwater monitoring wells in the Quillow catchment located in the Uckermark region (federal state of Brandenburg, Germany). From July 2000 to March 2014, water samples were collected periodically on different days of the year and at depths between 3 and 5 m (shallow wells) and 16 and 24 m (deeper wells) below the surface. The parameters pH value, redox potential, electric conductivity, water temperature, oxygen content, spectral absorption coefficient and concentration of hydrogen carbonate, ammonium, phosphate, chloride, bromide, nitrite, sulfate, sodium, potassium, magnesium, calcite, dissolved organic carbon, iron(II) and manganese were determined for each sample

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“…A specific yield of 4.5% was calculated for the alluvium by Rassam et al (2013) using records of stage Note. The initial data sets were used as model input while the piezometer data were used for comparison with model output.…”

Section: Study Sitementioning

confidence: 99%

Modeling Subsurface Hydrology in Floodplains

Evans

Dritschel

Singer

2018

Water Resources Research

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Soil‐moisture patterns in floodplains are highly dynamic, owing to the complex relationships between soil properties, climatic conditions at the surface, and the position of the water table. Given this complexity, along with climate change scenarios in many regions, there is a need for a model to investigate the implications of different conditions on water availability to riparian vegetation. We present a model, HaughFlow, which is able to predict coupled water movement in the vadose and phreatic zones of hydraulically connected floodplains. Model output was calibrated and evaluated at six sites in Australia to identify key patterns in subsurface hydrology. This study identifies the importance of the capillary fringe in vadose zone hydrology due to its water storage capacity and creation of conductive pathways. Following peaks in water table elevation, water can be stored in the capillary fringe for up to months (depending on the soil properties). This water can provide a critical resource for vegetation that is unable to access the water table. When water table peaks coincide with heavy rainfall events, the capillary fringe can support saturation of the entire soil profile. HaughFlow is used to investigate the water availability to riparian vegetation, producing daily output of water content in the soil over decadal time periods within different depth ranges. These outputs can be summarized to support scientific investigations of plant‐water relations, as well as in management applications.

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Accounting for surface–groundwater interactions and their uncertainty in river and groundwater models: A case study in the Namoi River, Australia

Cited by 45 publications

References 31 publications

On the use of the GRACE normal equation of inter-satellite tracking data for estimation of soil moisture and groundwater in Australia

On the use of the GRACE normal equation of inter-satellite tracking data for estimation of soil moisture and groundwater in Australia

Data on geochemical and hydraulic properties of a characteristic confined/unconfined aquifer system of the younger Pleistocene in northeast Germany

Modeling Subsurface Hydrology in Floodplains

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