Modelling soil erosion due to natural rainfall in Manitoba

Two water erosion sites, representing two soil types, a Gretna clay and Leary sandy loam, were monitored in 1991 and 1992. Data collection commenced in mid-April and ended in mid-September. Each site had four standard Universal Soil Loss Equation (USLE) erosion plots measuring 22.13 by 4.57 m on a u...

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Main Author: Wright, Charles Glenn Ralph
Language:en_US
Published: 2009
Online Access:http://hdl.handle.net/1993/3665
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spelling ndltd-LACETR-oai-collectionscanada.gc.ca-MWU.1993-36652014-03-29T03:42:50Z Modelling soil erosion due to natural rainfall in Manitoba Wright, Charles Glenn Ralph Two water erosion sites, representing two soil types, a Gretna clay and Leary sandy loam, were monitored in 1991 and 1992. Data collection commenced in mid-April and ended in mid-September. Each site had four standard Universal Soil Loss Equation (USLE) erosion plots measuring 22.13 by 4.57 m on a uniform 9% slope. At each site four continuous crop-management system were represented: fallow, corn, wheat and alfalfa. Soil losses were measured using a l% Coshocton runoff sampling wheel. The rainfall-runoff erosivity factor (R) was measured with a tipping bucket rain gauge fitted with a digital recording device. Crop canopy and mulch cover measurements were taken weekly to determine the crop management (C) factor value. Soil erodibility (K) was calculated by dividing measured soil losses by the corresponding R factor value. In addition, antecedent soil moisture levels and runoff flow rates were monitored. The sediment sampling systems, runoff recorders and rain recording systems were tested to determine their reliability. Experimentally derived USLE factor values were compared to calculated USLE factor values for each site. Field testing of the sediment sampling systems and rain recording systems showed that, for the most part, soil losses and rainfall intensity and amounts were being measured accurately. However, high intensity segments occurring within some rainstorms occasionally exceeded the capacity of the rain recording systems. These 'cloud bursts' often accounted for a significant portion of total storm rainfall and produced large soil losses. Measured K values did not compare well with the calculated USLE nomograph K values for the experimental soils. Measured average annual R values from both sites were about 1117 MJ mm ha-1 h-1 which compared favourably to the value of 1160 MJ mm ha-1 h-1 obtained by Wall et al. (1982) for Winnipeg Manitoba. A comparison of USLE C values proved to be impossible due to fundamental differences between field measurements and the measurements required for determining USLE C factor values. Observed soil losses, soil loss ratios and soil erodibility values were extremely variable and were dependent upon rainfall characteristics, plot surface morphology and antecedent soil moisture levels. Multiple regression was used to establish relationships estimating soil losses and soil erodibility from soil and rainfall characteristics. Since these relationships had low coefficients of determination, it was concluded that more research is needed in order to develop field measurement techniques which will be useful in helping to describe the observed variability in individual storm soil losses. 2009-12-03T21:13:44Z 2009-12-03T21:13:44Z 1994-08-01-01:09T00:00:00Z http://hdl.handle.net/1993/3665 en_US The reproduction of this thesis has been made available by authority of the copyright owner solely for the purpose of private study and research, and may only be reproduced and copied as permitted by copyright laws or with express written authorization from the copyright owner.
collection NDLTD
language en_US
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description Two water erosion sites, representing two soil types, a Gretna clay and Leary sandy loam, were monitored in 1991 and 1992. Data collection commenced in mid-April and ended in mid-September. Each site had four standard Universal Soil Loss Equation (USLE) erosion plots measuring 22.13 by 4.57 m on a uniform 9% slope. At each site four continuous crop-management system were represented: fallow, corn, wheat and alfalfa. Soil losses were measured using a l% Coshocton runoff sampling wheel. The rainfall-runoff erosivity factor (R) was measured with a tipping bucket rain gauge fitted with a digital recording device. Crop canopy and mulch cover measurements were taken weekly to determine the crop management (C) factor value. Soil erodibility (K) was calculated by dividing measured soil losses by the corresponding R factor value. In addition, antecedent soil moisture levels and runoff flow rates were monitored. The sediment sampling systems, runoff recorders and rain recording systems were tested to determine their reliability. Experimentally derived USLE factor values were compared to calculated USLE factor values for each site. Field testing of the sediment sampling systems and rain recording systems showed that, for the most part, soil losses and rainfall intensity and amounts were being measured accurately. However, high intensity segments occurring within some rainstorms occasionally exceeded the capacity of the rain recording systems. These 'cloud bursts' often accounted for a significant portion of total storm rainfall and produced large soil losses. Measured K values did not compare well with the calculated USLE nomograph K values for the experimental soils. Measured average annual R values from both sites were about 1117 MJ mm ha-1 h-1 which compared favourably to the value of 1160 MJ mm ha-1 h-1 obtained by Wall et al. (1982) for Winnipeg Manitoba. A comparison of USLE C values proved to be impossible due to fundamental differences between field measurements and the measurements required for determining USLE C factor values. Observed soil losses, soil loss ratios and soil erodibility values were extremely variable and were dependent upon rainfall characteristics, plot surface morphology and antecedent soil moisture levels. Multiple regression was used to establish relationships estimating soil losses and soil erodibility from soil and rainfall characteristics. Since these relationships had low coefficients of determination, it was concluded that more research is needed in order to develop field measurement techniques which will be useful in helping to describe the observed variability in individual storm soil losses.
author Wright, Charles Glenn Ralph
spellingShingle Wright, Charles Glenn Ralph
Modelling soil erosion due to natural rainfall in Manitoba
author_facet Wright, Charles Glenn Ralph
author_sort Wright, Charles Glenn Ralph
title Modelling soil erosion due to natural rainfall in Manitoba
title_short Modelling soil erosion due to natural rainfall in Manitoba
title_full Modelling soil erosion due to natural rainfall in Manitoba
title_fullStr Modelling soil erosion due to natural rainfall in Manitoba
title_full_unstemmed Modelling soil erosion due to natural rainfall in Manitoba
title_sort modelling soil erosion due to natural rainfall in manitoba
publishDate 2009
url http://hdl.handle.net/1993/3665
work_keys_str_mv AT wrightcharlesglennralph modellingsoilerosionduetonaturalrainfallinmanitoba
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