Details
Original language | English |
---|---|
Pages (from-to) | 39-56 |
Number of pages | 18 |
Journal | Acta Silvatica et Lignaria Hungarica |
Volume | 8 |
Issue number | 1 |
Publication status | Published - 2012 |
Abstract
To implement the analysis of soil erosion with the USLE in a GIS environment, a new workflow has been developed with the ArcGIS Model Builder. The aim of this four-part framework is to accelerate data processing and to ensure comparability of soil erosion risk maps. The first submodel generates the stream network with connected catchments, computes slope conditions and the LS factor in USLE based on the DEM. The second submodel integrates stream lines, roads, catchment boundaries, land cover, land use, and soil maps. This combined dataset is the basis for the preparation of other USLE-factors. The third submodel estimates soil loss, and creates zonal statistics of soil erosion. The fourth submodel classifies soil loss into categories enabling the comparison of modelled and observed soil erosion. The framework was applied in a small forested catchment in Hungary. Although there is significant deviation between the erosion of different land covers, the predicted specific soil loss does not increase above the tolerance limit in any area unit. The predicted surface soil erosion in forest subcompartments mostly depends on the slope conditions.
Keywords
- Erosion modelling, Forest cover, Gis
ASJC Scopus subject areas
- Agricultural and Biological Sciences(all)
- Forestry
Sustainable Development Goals
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In: Acta Silvatica et Lignaria Hungarica, Vol. 8, No. 1, 2012, p. 39-56.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Soil erosion analysis in a small forested catchment supported by ArcGIS Model Builder
AU - Csáfordi, Péter
AU - Podör, Andrea
AU - Bug, Jan
AU - Gribovszki, Zoltán
N1 - Funding Information: Acknowledgements: This research was supported by the TÁMOP 4.2.1/B-09/KONV-2010–
PY - 2012
Y1 - 2012
N2 - To implement the analysis of soil erosion with the USLE in a GIS environment, a new workflow has been developed with the ArcGIS Model Builder. The aim of this four-part framework is to accelerate data processing and to ensure comparability of soil erosion risk maps. The first submodel generates the stream network with connected catchments, computes slope conditions and the LS factor in USLE based on the DEM. The second submodel integrates stream lines, roads, catchment boundaries, land cover, land use, and soil maps. This combined dataset is the basis for the preparation of other USLE-factors. The third submodel estimates soil loss, and creates zonal statistics of soil erosion. The fourth submodel classifies soil loss into categories enabling the comparison of modelled and observed soil erosion. The framework was applied in a small forested catchment in Hungary. Although there is significant deviation between the erosion of different land covers, the predicted specific soil loss does not increase above the tolerance limit in any area unit. The predicted surface soil erosion in forest subcompartments mostly depends on the slope conditions.
AB - To implement the analysis of soil erosion with the USLE in a GIS environment, a new workflow has been developed with the ArcGIS Model Builder. The aim of this four-part framework is to accelerate data processing and to ensure comparability of soil erosion risk maps. The first submodel generates the stream network with connected catchments, computes slope conditions and the LS factor in USLE based on the DEM. The second submodel integrates stream lines, roads, catchment boundaries, land cover, land use, and soil maps. This combined dataset is the basis for the preparation of other USLE-factors. The third submodel estimates soil loss, and creates zonal statistics of soil erosion. The fourth submodel classifies soil loss into categories enabling the comparison of modelled and observed soil erosion. The framework was applied in a small forested catchment in Hungary. Although there is significant deviation between the erosion of different land covers, the predicted specific soil loss does not increase above the tolerance limit in any area unit. The predicted surface soil erosion in forest subcompartments mostly depends on the slope conditions.
KW - Erosion modelling
KW - Forest cover
KW - Gis
UR - http://www.scopus.com/inward/record.url?scp=84873504303&partnerID=8YFLogxK
U2 - 10.2478/v10303-012-0004-5
DO - 10.2478/v10303-012-0004-5
M3 - Article
AN - SCOPUS:84873504303
VL - 8
SP - 39
EP - 56
JO - Acta Silvatica et Lignaria Hungarica
JF - Acta Silvatica et Lignaria Hungarica
SN - 1786-691X
IS - 1
ER -