Effects of distribution-based parameter aggregation on a spatially distributed agricultural nonpoint source pollution model

Chen, Eileen; Mackay, D. S.

doi:10.1016/j.jhydrol.2004.03.029

Cited by 72 publications

(59 citation statements)

References 13 publications

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“…In this context, the MUSLE model values showed a significant difference with measured sediment yield in many watersheds in Iran (Afcheh, Amameh, Shahrchaii, Gharehchi, Chehelgazi and Kojor), the USA (Pheasant Branch and Foothill Range Field Station), western Canada, Kenya (Nyando and Nzoia) and Japan (Mie). The MUSLE model was then calibrated in these study areas (Jackson et al 1987, Epifanio et al 1991, McConkey et al 1997, Khajehie et al 2002, Rezaiifard et al 2002, Chen and Mackay 2004, Sadeghi and Mahdavi 2004, 2007b, Ma 2006, Varvani et al 2006, Khaledi Darvishan et al 2009, Noor et al 2010. The model presented reliable results for sediment yield on a storm basis after calibration and with a low level of estimation error (Sadeghi et al 2007b), as originally developed by Williams (1975).…”

Section: Discussionmentioning

confidence: 96%

“…The topography factor was estimated by the direct use of a topographic map at a scale of 1:50 000 in 43.48% of studies, with the help of a geographic information system (GIS) in 26.09% (Blaszczynski 2003, Chen and Mackay 2004, Basson 2005, Appel et al 2006, Ma 2006, Mishra et al 2006, Arekhi 2007, Jaramillo 2007, Pandey et al 2009, Zhang et al 2009 and by direct field measurement in 13.04% of the studies (Table 1); 14.39% of studies did not provide the methodology. The results showed that the use of GIS could improve performance of the model estimates.…”

Section: Discussionmentioning

confidence: 99%

“…In two studies (Chen andMackay 2004, Varvani et al 2006), only the power of the model was calibrated, which is logically more acceptable. The necessity of model calibration was also emphasized in those studies in which no calibration adjustment had been made.…”

Section: Discussionmentioning

confidence: 99%

“…However, an accurate estimation of sediment yield requires a sufficient number of samples or sedimentgraph preparation to give an appropriate basis for comparison and model calibration (Cordova 1981, Smith et al 1984, Jackson et al 1987, Banasik et al 1988, Epifanio et al 1991, McConkey et al 1997, Santos and Canino 1997, Erskine et al 2002, Khajehie et al 2002, Mahmoudzadeh et al 2002, Rezaiifard et al 2002, Cambazoglu and Gogos 2004, Chen and Mackay 2004, Sadeghi and Mahdavi 2004, Sarkhosh et al 2004, Basson 2005, Kinnell 2005, Porabdullah 2005, Appel et al 2006, Ma 2006, Varvani et al 2006, Abdulla and Eshtawi 2007, Arekhi 2007, Jaramillo 2007, Sadeghi et al 2007a, 2007b, Khaledi Darvishan et al 2009, Kinnell 2010, Noor et al 2010.…”

Section: Discussionmentioning

confidence: 99%

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A review of the application of the MUSLE model worldwide

Sadeghi

Gholami

Darvishan

et al. 2013

Hydrological Sciences Journal

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The sediment yield model of the MUSLE (modified universal soil loss equation) is applied extensively throughout the world, but different performances have been reported of its success relative to measured data. A review of all the available literature is presented to assess the application of the model under different conditions and, ultimately, make a comprehensive judgement on the different aspects to allow readers to adjust their further research. A review of 49 papers showed the variable accuracy of the model, which depends on the manner of calculation and determination of the input and output, and the study time and space scales. There were differences in land use, in correspondence of the physiographic characteristics with those of the original conditions of model development, and even in the experience of researchers in applying the model. The results also show the need to consider the original application of the model, as proposed by its developers, to achieve comparable results.

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Section: Discussionmentioning

confidence: 96%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

A review of the application of the MUSLE model worldwide

Sadeghi

Gholami

Darvishan

et al. 2013

Hydrological Sciences Journal

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“…Nonetheless, the substantial amount of input data for such models makes their applicability to large watersheds impractical, unless the governing equations are upscaled, as in WEHY model (Kavvas et al, 2004(Kavvas et al, , 2006. As a consequence, watershed-scale estimations of sediment yield in a spatially-distributed manner have been carried out with semi-distributed models such as SWAT (Chen & Mackay, 2004), or pixelbased models such as WATEM/SEDEM (Verstraeten et al, 2007;de Vente et al, 2008). Also, the temporal patterns of sediment delivery have been assessed, as reported by de Araújo (2007).…”

Section: Introductionmentioning

confidence: 99%

Modelling spatio-temporal patterns of sediment yield and connectivity in a semi-arid catchment with the WASA-SED model

Medeiros

Güntner

Francke

et al. 2010

Hydrological Sciences Journal

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Rainfall-runoff induced soil erosion causes important environmental degradation by reducing soil fertility and impacting on water availability as a consequence of sediment deposition in surface reservoirs used for water supply, particularly in semi-arid areas. However, erosion models developed on experimental plots cannot be directly applied to estimate sediment yield at the catchment scale, since sediment redistribution is also controlled by the transport conditions along the landscape. In particular, representation of landscape connectivity relating to sediment transfer from upslope areas to the river network is required. In this study, the WASA-SED model is used to assess the spatial and temporal patterns of water and sediment connectivity for a semi-arid meso-scale catchment (933 km 2 ) in Brazil. It is shown how spatial and temporal patterns of sediment connectivity within the catchment change as a function of landscape and event characteristics. This explains the nonlinear catchment response in terms of sediment yield at the outlet.Key words sediment yield; watershed connectivity; catchment scale; semi-arid; WASA-SED model Modélisation des patrons spatio-temporels de la connectivité et de la production de sédiments dans un bassin versant semi-aride à l'aide du modèle WASA-SED Résumé L'érosion des sols induite par le ruissellement cause d'importantes dégradations de l'environnement en réduisant la fertilité des sols et en ayant un impact sur la disponibilité de l'eau suite au dépôt de sédiments dans les réservoirs, particulièrement dans les régions semi-arides. Cependant, des modèles d'érosion développés pour des parcelles expérimentales ne peuvent pas être appliqués à l'évaluation de la production de sédiments à l'échelle des bassins hydrographiques, parce que la redistribution des sédiments est aussi contrôlée par les conditions de transport dans le paysage. En particulier il est nécessaire de représenter la connectivité du paysage en relation avec le transfert des sédiments des versants vers le réseau hydrographique. Dans cette étude, on utilise le modèle WASA-SED pour évaluer les patrons spatio-temporels de la connectivité de l'eau et des sédiments dans un bassin versant semi-aride de méso-échelle (933 km 2 ) au Brésil. Les résultats montrent comment les patrons spatio-temporels de la connectivité des sédiments dans le bassin versant changent en fonction des caractéristiques du paysage et des événements. Ceci explique la réponse non-linéaire du bassin versant en termes de production de sédiments à l'exutoire.Mots clefs production des sédiments; connectivité; échelle du basin versant; semi-aride; modèle WASA-SED

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Evaluation of River Water Quality Simulations at a Daily Time Step – Experience with SWAT in the Axe Catchment, UK

Glavan

White

Holman

2010

CLEAN Soil Air Water

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The Water Framework Directive (WFD) was established for the protection of surface waters (rivers, lakes, transitional and coastal waters) and ground waters in the European Union. The main environmental objective is to achieve and maintain a good status for all waters by the target date of 2015. Models which are able to address the majority of environmental objectives are proposed within the WFD to inform the management changes required to meet current water policy goals. The use of the Soil and Water Assessment Tool (SWAT) catchment model is widespread throughout the world, especially to support river basin management as required by the WFD. This paper provides a critical evaluation of the use of the model by placing model performance in the Axe catchment, UK, in the context of international performance of the model. Within the constraints of the available data, SWAT represents hydrology, sediment and ortho-phosphorus concentration well for this heterogeneous catchment, but the representation of daily nitrogen concentration dynamics is poor. Temporal aggregation of model outputs from daily to monthly improved the performance metrics for all the river outputs, including nitrate. Wider review of SWAT studies showed widespread reporting of monthly performance metrics within the SWAT studies, despite the model operating at a daily time step. Poor performance for nitrate identified in this current study may be a significant factor in the choice to not report daily results. This demonstrates the importance of ascertaining the reasons for the use of temporal aggregation in modelling studies.

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Effects of distribution-based parameter aggregation on a spatially distributed agricultural nonpoint source pollution model

Cited by 72 publications

References 13 publications

A review of the application of the MUSLE model worldwide

A review of the application of the MUSLE model worldwide

Modelling spatio-temporal patterns of sediment yield and connectivity in a semi-arid catchment with the WASA-SED model

Evaluation of River Water Quality Simulations at a Daily Time Step – Experience with SWAT in the Axe Catchment, UK

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