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| Titel |
Modeling regional wind erosion using different model |
| VerfasserIn |
Zhongling Guo, Chunping Chang, Rende Wang, Jifeng Li, Qing Li |
| Konferenz |
EGU General Assembly 2017
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 19 (2017) |
| Datensatznummer |
250139376
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| Publikation (Nr.) |
 EGU/EGU2017-2604.pdf |
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| Zusammenfassung |
| Wind erosion is an important factor causing soil degradation in arid and semi-arid regions.
The need to quantitatively evaluate wind induced soil erosion yields many wind
erosion models. These models include Wind Erosion Equation (WEQ), Revised Wind
Erosion Equation (RWEQ),Wind Erosion Predicted System (WEPS) etc. at a field
scale and Wind Erosion Assessment Model (WEAM), Integrated Wind Erosion
Modeling System (IWEMS), AUStralian Land Erodibility Model (AUSLEM) etc. at a
regional scale. The challenge of precisely estimating wind erosion at a regional scale
still remain to date. To assess regional wind erosion, WEQ, RWEQ and WEPS
have been scaled up to regional versions. However, no attempt is performed to
compare these models for regional wind erosion modeling. In this study, the regional
versions of WEQ, RWEQ, WEPS and WEAM, IWEMS, AUSLEM will be selected
to model regional wind erosion of farmlands in the Kangbao County of northern
China with annual soil loss by wind erosion based on 137 Cs analysis. Remote
sensing image is used to determine the size and shape of local farmlands. Weather
data of 2000-2010, China Soil Survey and published soil data, crops rotations etc.
are compiled to generate raster layers of inputs for selected models using ArcGIS
10.2. These models were rebuilt based on ArcGIS Model-builder Module. Spatial
distribution of annual soil loss by wind erosion determined from different model will be
tested using annual soil loss data by 137 Cs analysis. Performances of these models
will be investigated, and restrictions of these models will be further ascertained. |
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