2005
DOI: 10.1016/j.jhydrol.2004.07.043
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Modelling and managing critical source areas of diffuse pollution from agricultural land using flow connectivity simulation

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Cited by 263 publications
(182 citation statements)
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“…Distances between the streets and the receiving waters are short and there are no buffer strips. This results in contamination easily transfered into the receiving water bodies (McDowell et al, 2001;Heathwaite et al, 2005;Lu et al, 2007).…”
Section: Hydrological and Land Use Characteristics Of The Stream Netwmentioning
confidence: 99%
“…Distances between the streets and the receiving waters are short and there are no buffer strips. This results in contamination easily transfered into the receiving water bodies (McDowell et al, 2001;Heathwaite et al, 2005;Lu et al, 2007).…”
Section: Hydrological and Land Use Characteristics Of The Stream Netwmentioning
confidence: 99%
“…To moderate the number of watercourses failing to produce ecologically sustainable habitats as a result of enhanced erosion and delivery of pollutants to sensitive headwater fluvial networks, identification of the fine sediment and nutrient sources, and the pathways of delivery is firstly required , with management efforts subsequently focussing on restoring natural attenuation within catchments and disconnecting the identified Critical Source Areas (CSAs), or hot-spots from the fluvial networks (Heathwaite et al, 2005;Kovacs et al, 2012;Newson, 2010;Pionke et al, 1996). Many well established factors act to define the CSAs of fine sediment and P, however, our understanding of how and when these areas are connected to the fluvial networks is limited by the heterogeneity of factors governing process rates (Dean et al, 2009).…”
Section: Introductionmentioning
confidence: 99%
“…Identifying and prioritizing critical source areas could greatly improve the efficiency of RDS washoff pollution controls. Index models have been widely used for identifying diffuse critical source areas of phosphorus (P) on farms, and are less likely than other models to be constrained by a lack of input data (Heathwaite et al, 2005;Sharpley et al, 2008). Index models allow critical source areas to be identified by quantifying the relative pollution risk (e.g., as a probability) as opposed to the actual pollutant loading, because it is difficult to quantify transport factors (Buczko and Kuchenbuch, 2007;Buchanan et al, 2013).…”
Section: Introductionmentioning
confidence: 99%