Performance benchmarking linked diffuse pollution and in-stream water quality models

Hutchins, Mike; Deflandre, A.; Boorman, David

doi:10.1127/lr/17/2006/133

Cited by 5 publications

(13 citation statements)

References 20 publications

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“…Kirkby Mills and Ings Bridge, on the River Dove and Pickering Beck respectively, lie at the start of the QUESTOR network and flow and NO 3 -N concentrations at these locations are modelled using the diffuse pollution model (CASCADE) alone. Model setup was largely as described by Hutchins et al [40] with a different procedure being used to define N inputs, which are calculated on a monthly basis and are specific to a range of land-uses with a number of different sub-categories of arable land being considered. Fertiliser use and soil type are accounted for as they have a bearing on rates of organic matter mineralisation [2].…”

Section: Cascade/questor Applicationmentioning

confidence: 99%

How Do River Nitrate Concentrations Respond to Changes in Land-use? A Modelling Case Study of Headwaters in the River Derwent Catchment, North Yorkshire, UK

Hutchins

Deflandre-Vlandas

Posen

et al. 2010

Environ Model Assess

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A combined semi-distributed hydrological model (CASCADE/QUESTOR) is used to evaluate the steady-state that may be achieved after changes in land-use or management and to explore what additional factors need to be considered in representing catchment processes. Two rural headwater catchments of the River Derwent (North Yorkshire, UK) were studied where significant change in land-use occurred in the 1990s and the early 2000s. Much larger increases in mean nitrate concentration (55%) were observed in the catchment with significant groundwater influence (Pickering Beck) compared with the surface water-dominated catchment (13% increase). The increases in Pickering Beck were considerably greater than could be explained by the model in terms of landuse change. Consequently, the study serves to focus attention on the long-term increases in nitrate concentration reported in major UK aquifers and the ongoing and chronic impact this trend is likely to be having on surface water concentrations. For river environments, where groundwater is a source, such trends will mask the impact of measures proposed to reduce the risk of nitrate leaching from agricultural land. Model estimates of within-channel losses account for 15-40% of nitrate entering rivers.

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Section: Cascade/questor Applicationmentioning

confidence: 99%

How Do River Nitrate Concentrations Respond to Changes in Land-use? A Modelling Case Study of Headwaters in the River Derwent Catchment, North Yorkshire, UK

Hutchins

Deflandre-Vlandas

Posen

et al. 2010

Environ Model Assess

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“…The process of parameter optimisation was the same as that described by Hutchins et al (2006). Results from these model applications were compared with observations from Kildwick.…”

Section: Aire Catchment: the Cascade-questor Process Modelmentioning

confidence: 99%

“…In the QUESTOR model, two parameters, controlling the process of nitrification and denitrification, were optimised against data at Lemonroyd. Hutchins et al (2006) detail the two models and their calibration, including issues specific to the Aire catchment regarding the nature of the linkage. Also, for the case study, a qualitative judgement was made of the most sensitive parameters which must be calibrated.…”

Section: Aire Catchment: the Cascade-questor Process Modelmentioning

confidence: 99%

“…The CASCADE calibration ensured total flows at Lemonroyd were not overestimated and contributions from predominantly urban HRUs were omitted. The rationale behind these modifications, which are necessary in catchments with significant urbanisation, is described in detail in Hutchins et al (2006). To test the effect of input data complexity on model performance, two implementations of the linked model were set up:…”

Section: Aire Catchment: the Cascade-questor Process Modelmentioning

confidence: 99%

“…Soil parameters were derived from statistics of the National Soil Resources Institute SEISMIC database (Hallett et al, 1993) summarising soils in HOST class 24, the dominant soil type in the catchment. For land use, N accumulation rates for the catchment were calculated monthly using area-weightings of the land-use-specific values presented by Hutchins et al (2006).…”

Section: Aire Catchment: the Cascade-questor Process Modelmentioning

confidence: 99%

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Issues of diffuse pollution model complexity arising from performance benchmarking

Hutchins¹,

Dilks²,

Davies³

et al. 2007

Hydrol. Earth Syst. Sci.

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Flow and nitrate dynamics were simulated in two catchments, the River Aire in northern England and the River Ythan in north-east Scotland. In the case of the Aire, a diffuse pollution model was coupled with a river quality model (CASCADE-QUESTOR); in the study of the Ythan, an integrated model (SWAT) was used. In each study, model performance was evaluated for differing levels of spatial representation in input data sets (rainfall, soils and land use). In respect of nitrate concentrations, the performance of the models was compared with that of a regression model based on proportions of land cover. The overall objective was to assess the merits of spatially distributed input data sets. In both catchments, specific measures of quantitative performance showed that models using the most detailed available input data contributed, at best, only a marginal improvement over simpler implementations. Hence, the level of complexity used in input data sets has to be determined, not only on multiple criteria of quantitative performance but also on qualitative assessments, reflecting the specific context of the model application and the current and likely future needs of end-users.

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Analysing the Agricultural Costs and Non‐market Benefits of Implementing the Water Framework Directive

Bateman¹,

Brouwer²,

Davies³

et al. 2006

J Agricultural Economics

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Implementation of the Water Framework Directive (WFD) represents a fundamental change in the management of water in Europe with a requirement that member states ensure 'good ecological status' for all water bodies by 2015. Agriculture is expected to bear a major share of WFD implementation costs as it is compelled to reduce the emission of diffuse water pollutants. The research outlined here comprises interdisciplinary modelling of agricultural land use, hydrology and consequent water quality effects to consider both agricultural costs and the non-market recreational use (and potentially non-use) values that implementation of the Directive may generate. A theme throughout the research is the spatial distribution of the costs and benefits of WFD implementation, which is addressed through the use of GIS techniques in the modelling of agricultural land use, the integration of land use and hydrological models, and the estimation, aggregation and transfer of the economic value of the benefits. Copyright 2006 Blackwell Publishing Ltd.

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Performance benchmarking linked diffuse pollution and in-stream water quality models

Cited by 5 publications

References 20 publications

How Do River Nitrate Concentrations Respond to Changes in Land-use? A Modelling Case Study of Headwaters in the River Derwent Catchment, North Yorkshire, UK

How Do River Nitrate Concentrations Respond to Changes in Land-use? A Modelling Case Study of Headwaters in the River Derwent Catchment, North Yorkshire, UK

Issues of diffuse pollution model complexity arising from performance benchmarking

Analysing the Agricultural Costs and Non‐market Benefits of Implementing the Water Framework Directive

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