Modelling catchment processes in the Swan–Avon river basin

Viney, Neil R.; Sivapalan, Murugesu

doi:10.1002/hyp.301

Cited by 45 publications

(29 citation statements)

References 15 publications

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“…Then, they calibrated the nutrient component only while keeping this optimal water balance description (e.g. Andersson et al, 2005;Viney and Sivapalan, 2001;Wade et al, 2002). Subsequently, in this study we calibrated the hydrological components of the models against the two available discharge records (i.e.…”

Section: Hydrological Calibrationmentioning

confidence: 99%

“…Arheimer and Lidén, 2000) or on loads/yields if one is more interested in source apportionment or assessing the global contribution of fertiliser application to water bodies nutrient balances (e.g. Grizzetti et al, 2003;Viney and Sivapalan, 2001). Still, evaluating load predictions tend to be more forgiving than concentration as they are usually correlated with runoff.…”

Section: Nitrogen Ensembles Constructionmentioning

confidence: 99%

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Ensemble modelling of nitrogen fluxes: data fusion for a Swedish meso-scale catchment

Exbrayat

Viney

Seibert

et al. 2010

Hydrol. Earth Syst. Sci.

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Abstract. Model predictions of biogeochemical fluxes at the landscape scale are highly uncertain, both with respect to stochastic (parameter) and structural uncertainty. In this study 5 different models (LASCAM, LASCAM-S, a selfdeveloped tool, SWAT and HBV-N-D) designed to simulate hydrological fluxes as well as mobilisation and transport of one or several nitrogen species were applied to the mesoscale River Fyris catchment in mid-eastern Sweden.Hydrological calibration against 5 years of recorded daily discharge at two stations gave highly variable results with Nash-Sutcliffe Efficiency (NSE) ranging between 0.48 and 0.83. Using the calibrated hydrological parameter sets, the parameter uncertainty linked to the nitrogen parameters was explored in order to cover the range of possible predictions of exported loads for 3 nitrogen species: nitrate (NO 3 ), ammonium (NH 4 ) and total nitrogen (Tot-N). For each model and each nitrogen species, predictions were ranked in two different ways according to the performance indicated by two different goodness-of-fit measures: the coefficient of determination R 2 and the root mean square error RMSE. A total of 2160 deterministic Single Model Ensembles (SME) was generated using an increasing number of members (from the 2 best to the 10 best single predictions). Finally the best SME for each model, nitrogen species and discharge station were selected and merged into 330 different Multi-Model Ensembles (MME). The evolution of changes in R 2 and RMSE was used as a performance descriptor of the ensemble procedure.Correspondence to: J.-F. Exbrayat (jean-francois.exbrayat@umwelt.uni-giessen.de) In each studied case, numerous ensemble merging schemes were identified which outperformed any of their members. Improvement rates were generally higher when worse members were introduced. The highest improvements were achieved for the nitrogen SMEs compiled with multiple linear regression models with R 2 selected members, which resulted in the RMSE decreasing by up to 90%.

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Section: Hydrological Calibrationmentioning

confidence: 99%

Section: Nitrogen Ensembles Constructionmentioning

confidence: 99%

Ensemble modelling of nitrogen fluxes: data fusion for a Swedish meso-scale catchment

Exbrayat

Viney

Seibert

et al. 2010

Hydrol. Earth Syst. Sci.

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“…For the Swan Coastal Plain in south-western Australia, nutrient leaching is a primary cause of ground water pollution [85,86]. The contaminated groundwater further affects surface water quality of the river systems and surrounding lakes [87,88].…”

Section: Nutrient Leachingmentioning

confidence: 99%

“…Maximum acceptable limit for nitrate in drinking water is 10 mg L −1 according to World Health Organization. Hence, efficiency in application of nutrients should be the main objective in designing fertiliser plans for coarse-textured agricultural soils [86][87][88].…”

Section: Nutrient Leachingmentioning

confidence: 99%

Potential for Recycling Nutrients from Biosolids Amended with Clay and Lime in Coarse-Textured Water Repellence, Acidic Soils of Western Australia

Shanmugam

Abbott

2015

Applied and Environmental Soil Science

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Application of biosolids in soils is an efficient method of recycling nutrients from biosolids and it is considered even safer when it is modified after mixing and diluting with other suitable soil organic amendments. A variety of soil organic amendments, such as green manures and composts, are used for modifying and co-composting with biosolids. However, these may not be considered as appropriate biosolids disposal and remedial measures for soils with unique problems such as low soil pH, water repellence nature, and poor water and nutrient retention capacities due to soil textural issues. Historically, soil amendments such as lime, clay, and recently biochar are being applied for such problematic soils at Western Australia and these researches focused mostly on improvement in soil physical and chemical properties. However, studies with potential for applying modified biosolids with these amendments are not complete yet. This review focused on identifying such gaps in these studies from over 170 peer-reviewed key research and review articles published over decades to latest in these areas.

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“…The Ellen Brook catchment (570 km 2 ) is located in coastal SW Western Australia and contributes significantly to the water (6 %) and N loads (10 %) entering the Swan-Canning estuary that drains the city of Perth (Viney and Sivapalan, 2001). Most of the catchment has been cleared for agricultural purposes (Swan River Trust, 2007).…”

Section: The Ellen Brook Catchmentmentioning

confidence: 99%

Using multi-model averaging to improve the reliability of catchment scale nitrogen predictions

Exbrayat

Viney

Frede³

2013

Geosci. Model Dev.

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Abstract. Hydro-biogeochemical models are used to foresee the impact of mitigation measures on water quality. Usually, scenario-based studies rely on single model applications. This is done in spite of the widely acknowledged advantage of ensemble approaches to cope with structural model uncertainty issues. As an attempt to demonstrate the reliability of such multi-model efforts in the hydro-biogeochemical context, this methodological contribution proposes an adaptation of the reliability ensemble averaging (REA) philosophy to nitrogen losses predictions. A total of 4 models are used to predict the total nitrogen (TN) losses from the wellmonitored Ellen Brook catchment in Western Australia. Simulations include re-predictions of current conditions and a set of straightforward management changes targeting fertilisation scenarios. Results show that, in spite of good calibration metrics, one of the models provides a very different response to management changes. This behaviour leads the simple average of the ensemble members to also predict reductions in TN export that are not in agreement with the other models. However, considering the convergence of model predictions in the more sophisticated REA approach assigns more weight to previously less well-calibrated models that are more in agreement with each other. This method also avoids having to disqualify any of the ensemble members.

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Modelling catchment processes in the Swan–Avon river basin

Cited by 45 publications

References 15 publications

Ensemble modelling of nitrogen fluxes: data fusion for a Swedish meso-scale catchment

Ensemble modelling of nitrogen fluxes: data fusion for a Swedish meso-scale catchment

Potential for Recycling Nutrients from Biosolids Amended with Clay and Lime in Coarse-Textured Water Repellence, Acidic Soils of Western Australia

Using multi-model averaging to improve the reliability of catchment scale nitrogen predictions

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