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MIRSED towards an MIR approach to modelling hillslope soil erosion at the national scale.

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MIRSED towards an MIR approach to modelling hillslope soil erosion at the national scale. / Brazier, R. E.; Rowan, J. S.; Anthony, S. G. et al.
In: CATENA, Vol. 42, No. 1, 01.01.2001, p. 59-79.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Brazier, RE, Rowan, JS, Anthony, SG & Quinn, PF 2001, 'MIRSED towards an MIR approach to modelling hillslope soil erosion at the national scale.', CATENA, vol. 42, no. 1, pp. 59-79. https://doi.org/10.1016/S0341-8162(00)00097-7

APA

Brazier, R. E., Rowan, J. S., Anthony, S. G., & Quinn, P. F. (2001). MIRSED towards an MIR approach to modelling hillslope soil erosion at the national scale. CATENA, 42(1), 59-79. https://doi.org/10.1016/S0341-8162(00)00097-7

Vancouver

Brazier RE, Rowan JS, Anthony SG, Quinn PF. MIRSED towards an MIR approach to modelling hillslope soil erosion at the national scale. CATENA. 2001 Jan 1;42(1):59-79. doi: 10.1016/S0341-8162(00)00097-7

Author

Brazier, R. E. ; Rowan, J. S. ; Anthony, S. G. et al. / MIRSED towards an MIR approach to modelling hillslope soil erosion at the national scale. In: CATENA. 2001 ; Vol. 42, No. 1. pp. 59-79.

Bibtex

@article{8f1adfca01f549a7a59ec7062a379e07,
title = "MIRSED towards an MIR approach to modelling hillslope soil erosion at the national scale.",
abstract = "This paper reports a new methodology for assessing regional and national patterns of hillslope scale soil erosion rates in the UK using a MIR (minimum information requirement) version of WEPP (Water Erosion Prediction Project) known as MIRSED. WEPP is parameterised using a national coverage, environmental database containing topographic, soil, land management and climate variables for all hillslopes within each grid cell to be modelled. The MIRSED matrix summarises the behaviour of WEPP in a multi-dimensional parameter space, allowing results to be queried using a subset of key, spatially variable parameters to produce an averaged hillslope soil erosion response from each 1 km2 grid cell. The approach is demonstrated for the Great Ouse catchment, Cambridgeshire, UK and highlights highest hillslope erosion rates of 2.2 t ha−1 year−1 associated with steepest slopes, erodible soils and management practices that leave the soil exposed for critical times of the year. A mean soil erosion rate of 0.4 t ha−1 year−1 is predicted from hillslopes across the catchment which compares well with observed data collated at different scales, using contrasting measurement techniques.",
keywords = "Soil erosion, Hillslope erosion, Erosion modelling, GIS, WEPP, UK",
author = "Brazier, {R. E.} and Rowan, {J. S.} and Anthony, {S. G.} and Quinn, {P. F.}",
year = "2001",
month = jan,
day = "1",
doi = "10.1016/S0341-8162(00)00097-7",
language = "English",
volume = "42",
pages = "59--79",
journal = "CATENA",
issn = "0341-8162",
publisher = "ELSEVIER SCIENCE BV",
number = "1",

}

RIS

TY - JOUR

T1 - MIRSED towards an MIR approach to modelling hillslope soil erosion at the national scale.

AU - Brazier, R. E.

AU - Rowan, J. S.

AU - Anthony, S. G.

AU - Quinn, P. F.

PY - 2001/1/1

Y1 - 2001/1/1

N2 - This paper reports a new methodology for assessing regional and national patterns of hillslope scale soil erosion rates in the UK using a MIR (minimum information requirement) version of WEPP (Water Erosion Prediction Project) known as MIRSED. WEPP is parameterised using a national coverage, environmental database containing topographic, soil, land management and climate variables for all hillslopes within each grid cell to be modelled. The MIRSED matrix summarises the behaviour of WEPP in a multi-dimensional parameter space, allowing results to be queried using a subset of key, spatially variable parameters to produce an averaged hillslope soil erosion response from each 1 km2 grid cell. The approach is demonstrated for the Great Ouse catchment, Cambridgeshire, UK and highlights highest hillslope erosion rates of 2.2 t ha−1 year−1 associated with steepest slopes, erodible soils and management practices that leave the soil exposed for critical times of the year. A mean soil erosion rate of 0.4 t ha−1 year−1 is predicted from hillslopes across the catchment which compares well with observed data collated at different scales, using contrasting measurement techniques.

AB - This paper reports a new methodology for assessing regional and national patterns of hillslope scale soil erosion rates in the UK using a MIR (minimum information requirement) version of WEPP (Water Erosion Prediction Project) known as MIRSED. WEPP is parameterised using a national coverage, environmental database containing topographic, soil, land management and climate variables for all hillslopes within each grid cell to be modelled. The MIRSED matrix summarises the behaviour of WEPP in a multi-dimensional parameter space, allowing results to be queried using a subset of key, spatially variable parameters to produce an averaged hillslope soil erosion response from each 1 km2 grid cell. The approach is demonstrated for the Great Ouse catchment, Cambridgeshire, UK and highlights highest hillslope erosion rates of 2.2 t ha−1 year−1 associated with steepest slopes, erodible soils and management practices that leave the soil exposed for critical times of the year. A mean soil erosion rate of 0.4 t ha−1 year−1 is predicted from hillslopes across the catchment which compares well with observed data collated at different scales, using contrasting measurement techniques.

KW - Soil erosion

KW - Hillslope erosion

KW - Erosion modelling

KW - GIS

KW - WEPP

KW - UK

U2 - 10.1016/S0341-8162(00)00097-7

DO - 10.1016/S0341-8162(00)00097-7

M3 - Journal article

VL - 42

SP - 59

EP - 79

JO - CATENA

JF - CATENA

SN - 0341-8162

IS - 1

ER -