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Lookup NU author(s): Dr Paul Quinn
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Laboratory and small-scale field observations have yielded fundamental insights into the causes of nutrient pollution. Detection of downstream, off-site impacts of nutrient pollution reveals its effects. However, there is a gulf in our knowledge and practice that prevents the rational scaling-up of findings made at one scale so that they contribute to establishing a sound scientific basis for planning at the catchment scale. Many modellers may thus rely on simple models when simulating nutrient pollution at the catchment scale as these models can reflect their judgments and uncertainties. The only way for planners and scientists to advance in harmony is to create robust scaling-up techniques, which can call upon a range of scale-appropriate models (including complex physically-based, distributed models and lumped Minimum Information Requirement (MIR) models). This goal will not be achieved unless an extensive set of nested, multi-scale experiments are undertaken to examine how processes and model parameters change over space and time. This paper shows that any hydrological flow path and nutrient source area analysis must pay respect to the effects of the model grid scale and the size of the study area.
Author(s): Quinn PF
Editor(s): Steenvorden, J; Claessen, F; Willems, J; Steenvoorden, J
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: Agricultural Effects on Ground and Surface Waters: Research at the Edge of Science and Society
Year of Conference: 2002
Pages: 397-403
ISSN: 0144-7815
Publisher: IAHS Press
Library holdings: Search Newcastle University Library for this item
Series Title: IAHS Proceedings & Reports
ISBN: 9781901502763
