Modelling Sediment Input to Surface Waters for German States with MEPhos: Methodology, Sensitivity and Uncertainty

Soil erosion on arable land and on steep vineyards is a major problem in the state of Hesse (21,115 km²) in central Germany. The aim of a joint study between the Research Centre Jülich, the Hessian Agency for the Environment and Geology and the Hessian Ministry for the Environment, Energy, Agricultu...

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Vydané v:	Water resources management Ročník 26; číslo 1; s. 165 - 184
Hlavní autori:	Tetzlaff, Björn, Wendland, Frank
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Dordrecht Springer Netherlands 01.01.2012 Springer Springer Nature B.V
Predmet:	Agricultural land algorithms arable soils Atmospheric Sciences Civil Engineering Consumer protection Datasets Decision making Earth and Environmental Science Earth Sciences Earth, ocean, space Environment Environmental economics Exact sciences and technology Geology Geotechnical Engineering & Applied Earth Sciences Germany Hydrogeology Hydrology Hydrology. Hydrogeology Hydrology/Water Resources Land use model uncertainty Monte Carlo simulation Precipitation Rain Risk assessment River networks Sediments Sensitivity analysis Soil erosion Studies subwatersheds Surface water uncertainty analysis Universal Soil Loss Equation vineyards Water resources Water resources management Wineries & vineyards Central Europe Europe Germany USLE Sensitivity analysis MEPhos Sediment input ABAG Erosion modelling Uncertainty analysis algorithms models sediment sources sensitivity analysis Monte Carlo analysis protection digital simulation agriculture surface water drainage basins propagation water resource management soil erosion soils errors internet methodology energy
ISSN:	0920-4741, 1573-1650
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Abstract	Soil erosion on arable land and on steep vineyards is a major problem in the state of Hesse (21,115 km²) in central Germany. The aim of a joint study between the Research Centre Jülich, the Hessian Agency for the Environment and Geology and the Hessian Ministry for the Environment, Energy, Agriculture and Consumer Protection was to delineate parcels which are severely affected by erosion and to identify sediment source areas. For this purpose, the ABAG, an adaptation of the USLE approach to German conditions, has been employed with the best available data sets on K-, C-, R- and LS-factor. Model results at the field scale show that soil losses in Hesse vary between <0.5 and >15 tonnes/hectare/year. The mean loss amounts to ca. 4.3 tonnes/hectare/year. The sediment delivery ratios for 450 sub-catchments range between 0.5 and 78% with a mean of 18%. Further analysis showed that LS- and C-factor are of highest sensitivity for the model output. Therefore, the effects of alternative algorithms or sources for LS- and C-factor on the results were assessed. An uncertainty analysis based on Gaussian error propagation and Monte Carlo simulation showed that the uncertainty of model results induced by input parameters is 1.7 tonnes/hectare/year or 34% of the mean annual soil loss. The model results are a good basis for further works concerning a soil erosion atlas and internet-based soil data viewer.
AbstractList	Soil erosion on arable land and on steep vineyards is a major problem in the state of Hesse (21,115 km²) in central Germany. The aim of a joint study between the Research Centre Jülich, the Hessian Agency for the Environment and Geology and the Hessian Ministry for the Environment, Energy, Agriculture and Consumer Protection was to delineate parcels which are severely affected by erosion and to identify sediment source areas. For this purpose, the ABAG, an adaptation of the USLE approach to German conditions, has been employed with the best available data sets on K-, C-, R- and LS-factor. Model results at the field scale show that soil losses in Hesse vary between <0.5 and >15 tonnes/hectare/year. The mean loss amounts to ca. 4.3 tonnes/hectare/year. The sediment delivery ratios for 450 sub-catchments range between 0.5 and 78% with a mean of 18%. Further analysis showed that LS- and C-factor are of highest sensitivity for the model output. Therefore, the effects of alternative algorithms or sources for LS- and C-factor on the results were assessed. An uncertainty analysis based on Gaussian error propagation and Monte Carlo simulation showed that the uncertainty of model results induced by input parameters is 1.7 tonnes/hectare/year or 34% of the mean annual soil loss. The model results are a good basis for further works concerning a soil erosion atlas and internet-based soil data viewer. Soil erosion on arable land and on steep vineyards is a major problem in the state of Hesse (21,115 km²) in central Germany. The aim of a joint study between the Research Centre Jülich, the Hessian Agency for the Environment and Geology and the Hessian Ministry for the Environment, Energy, Agriculture and Consumer Protection was to delineate parcels which are severely affected by erosion and to identify sediment source areas. For this purpose, the ABAG, an adaptation of the USLE approach to German conditions, has been employed with the best available data sets on K-, C-, R- and LS-factor. Model results at the field scale show that soil losses in Hesse vary between <0.5 and >15 tonnes/hectare/year. The mean loss amounts to ca. 4.3 tonnes/hectare/year. The sediment delivery ratios for 450 sub-catchments range between 0.5 and 78% with a mean of 18%. Further analysis showed that LS- and C-factor are of highest sensitivity for the model output. Therefore, the effects of alternative algorithms or sources for LS- and C-factor on the results were assessed. An uncertainty analysis based on Gaussian error propagation and Monte Carlo simulation showed that the uncertainty of model results induced by input parameters is 1.7 tonnes/hectare/year or 34% of the mean annual soil loss. The model results are a good basis for further works concerning a soil erosion atlas and internet-based soil data viewer.[PUBLICATION ABSTRACT] Soil erosion on arable land and on steep vineyards is a major problem in the state of Hesse (21,115 km super(2)) in central Germany. The aim of a joint study between the Research Centre Juelich, the Hessian Agency for the Environment and Geology and the Hessian Ministry for the Environment, Energy, Agriculture and Consumer Protection was to delineate parcels which are severely affected by erosion and to identify sediment source areas. For this purpose, the ABAG, an adaptation of the USLE approach to German conditions, has been employed with the best available data sets on K-, C-, R- and LS-factor. Model results at the field scale show that soil losses in Hesse vary between <0.5 and >15 tonnes/hectare/year. The mean loss amounts to ca. 4.3 tonnes/hectare/year. The sediment delivery ratios for 450 sub-catchments range between 0.5 and 78% with a mean of 18%. Further analysis showed that LS- and C-factor are of highest sensitivity for the model output. Therefore, the effects of alternative algorithms or sources for LS- and C-factor on the results were assessed. An uncertainty analysis based on Gaussian error propagation and Monte Carlo simulation showed that the uncertainty of model results induced by input parameters is 1.7 tonnes/hectare/year or 34% of the mean annual soil loss. The model results are a good basis for further works concerning a soil erosion atlas and internet-based soil data viewer. Soil erosion on arable land and on steep vineyards is a major problem in the state of Hesse (21,115 km²) in central Germany. The aim of a joint study between the Research Centre Jülich, the Hessian Agency for the Environment and Geology and the Hessian Ministry for the Environment, Energy, Agriculture and Consumer Protection was to delineate parcels which are severely affected by erosion and to identify sediment source areas. For this purpose, the ABAG, an adaptation of the USLE approach to German conditions, has been employed with the best available data sets on K-, C-, R- and LS-factor. Model results at the field scale show that soil losses in Hesse vary between <0.5 and >15 tonnes/hectare/year. The mean loss amounts to ca. 4.3 tonnes/hectare/year. The sediment delivery ratios for 450 sub-catchments range between 0.5 and 78% with a mean of 18%. Further analysis showed that LS- and C-factor are of highest sensitivity for the model output. Therefore, the effects of alternative algorithms or sources for LS- and C-factor on the results were assessed. An uncertainty analysis based on Gaussian error propagation and Monte Carlo simulation showed that the uncertainty of model results induced by input parameters is 1.7 tonnes/hectare/year or 34% of the mean annual soil loss. The model results are a good basis for further works concerning a soil erosion atlas and internet-based soil data viewer.
Author	Wendland, Frank Tetzlaff, Björn
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Cites_doi	10.2136/sssaj1986.03615995005000050042x 10.1016/j.jhydrol.2005.03.038 10.1016/S0143-6228(02)00004-8 10.1007/s11269-008-9335-8 10.1007/s11269-006-9061-z 10.1029/96WR03137 10.1016/S0169-555X(02)00082-X 10.1016/j.earscirev.2005.02.002 10.1002/ird.426 10.5194/adgeo-11-77-2007 10.1016/S0167-1987(00)00179-3 10.2166/wst.2007.080 10.1007/s00254-008-1293-1 10.1016/j.pce.2009.02.002 10.1002/0470859202.ch18 10.2136/sssaj1997.03615995006100030029x 10.1080/00690805.2000.9714334 10.1201/b15238 10.13031/2013.30576 10.2136/sssaj1993.03615995005700030032x
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Keywords	USLE Sensitivity analysis MEPhos Sediment input ABAG Erosion modelling Uncertainty analysis algorithms models sediment sources sensitivity analysis Monte Carlo analysis protection digital simulation agriculture surface water drainage basins propagation water resource management soil erosion soils errors internet methodology energy
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Snippet	Soil erosion on arable land and on steep vineyards is a major problem in the state of Hesse (21,115 km²) in central Germany. The aim of a joint study between... Soil erosion on arable land and on steep vineyards is a major problem in the state of Hesse (21,115 km²) in central Germany. The aim of a joint study between... Soil erosion on arable land and on steep vineyards is a major problem in the state of Hesse (21,115 km super(2)) in central Germany. The aim of a joint study...
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SubjectTerms	Agricultural land algorithms arable soils Atmospheric Sciences Civil Engineering Consumer protection Datasets Decision making Earth and Environmental Science Earth Sciences Earth, ocean, space Environment Environmental economics Exact sciences and technology Geology Geotechnical Engineering & Applied Earth Sciences Germany Hydrogeology Hydrology Hydrology. Hydrogeology Hydrology/Water Resources Land use model uncertainty Monte Carlo simulation Precipitation Rain Risk assessment River networks Sediments Sensitivity analysis Soil erosion Studies subwatersheds Surface water uncertainty analysis Universal Soil Loss Equation vineyards Water resources Water resources management Wineries & vineyards
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Title	Modelling Sediment Input to Surface Waters for German States with MEPhos: Methodology, Sensitivity and Uncertainty
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