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"MIRSED" towards a MIR approach to modelling hillslope soil erosion at the national scale

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"MIRSED" towards a MIR approach to modelling hillslope soil erosion at the national scale. / Brazier, R. E.; Rowan, J. S.; Anthony, S. G.; Quinn, P. F.

In: CATENA, Vol. 42, No. 1, 01.2001, p. 59-79.

Research output: Contribution to journalArticle

Harvard

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

APA

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

Vancouver

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

Author

Brazier, R. E.; Rowan, J. S.; Anthony, S. G.; Quinn, P. F. / "MIRSED" towards a MIR approach to modelling hillslope soil erosion at the national scale.

In: CATENA, Vol. 42, No. 1, 01.2001, p. 59-79.

Research output: Contribution to journalArticle

Bibtex - Download

@article{37ea781a598d4d2494bd9435f1d22c9c,
title = "{"}MIRSED{"} towards a MIR approach to modelling hillslope soil erosion at the national scale",
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.}",
note = "dc.publisher: Elsevier dc.description.sponsorship: Natural Environment Research Council (NERC) Agriculture Development and Advisory Service (ADAS) NERC–CASE award GT04/96/EO/118",
year = "2001",
doi = "10.1016/S0341-8162(00)00097-7",
volume = "42",
number = "1",
pages = "59--79",
journal = "CATENA",
issn = "0341-8162",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - "MIRSED" towards a MIR approach to modelling hillslope soil erosion at the national scale

A1 - Brazier,R. E.

A1 - Rowan,J. S.

A1 - Anthony,S. G.

A1 - Quinn,P. F.

AU - Brazier,R. E.

AU - Rowan,J. S.

AU - Anthony,S. G.

AU - Quinn,P. F.

PY - 2001/1

Y1 - 2001/1

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

M1 - Article

JO - CATENA

JF - CATENA

SN - 0341-8162

IS - 1

VL - 42

SP - 59

EP - 79

ER -

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