Publication Date:
2013-10-25
Description:
Quantitative assessment of the effectiveness of water quality mitigation measures such as Nitrate Vulnerable Zones (NVZ) and Agricultural Stewardship Programmes ( Worrall et al ., 2009; Deasy et al ., 2010; Mian et al ., 2010; Kay et al ., 2012) is impeded by the current limitations of both process-based models ( Rode et al ., 2010; Guber et al ., 2011) and empirical models ( Rothwell et al ., 2010) at catchment and regional scales. The current failure of models to provide accurate water quality predictions at catchment scales and beyond is founded in significant observational uncertainties of water quality parameters ( McMillan et al ., 2012) linked to our partial understanding of temporally dynamic source area contributions to water quality responses at the catchment outlet ( Kirchner et al ., 2000, 2004; Jordan et al ., 2005; Harris & Heathwaite , 2005; Haygarth et al ., 2005; Jarvie et al ., 2010). These limitations critically restrict the predictive capacity of risk assessment frameworks for scientists and practitioners to forecast variable catchment scale water quality response and, in turn, to assess the resilience to environmental change, including human impacts ( McIntyre et al ., 2003). This article is protected by copyright. All rights reserved.
Print ISSN:
0885-6087
Electronic ISSN:
1099-1085
Topics:
Architecture, Civil Engineering, Surveying
,
Geography
Permalink