Scaling up from field to region for wind erosion prediction using a field-scale wind erosion model and GIS
文献类型：期刊论文
| 作者 | Zobeck, TM; Parker, NC; Haskell, S; Guoding, K |
| 刊名 | AGRICULTURE ECOSYSTEMS & ENVIRONMENT
 |
| 出版日期 | 2000-12-01 |
| 卷号 | 82期号:1-3页码:247-259 |
| 关键词 | erosion soil texture land use classification erosion models |
| ISSN号 | 0167-8809 |
| 通讯作者 | Zobeck, TM() |
| 英文摘要 | Factors that affect wind erosion such as surface vegetative and other cover, soil properties and surface roughness usually change spatially and temporally at the field-scale to produce important field-scale variations in wind erosion. Accurate estimation of wind erosion when scaling up from fields to regions, while maintaining meaningful field-scale process details, remains a challenge. The objectives of this study were to evaluate the feasibility of using a field-scale wind erosion model with a geographic information system (GIS) to scale up to regional levels and to quantify the differences in wind erosion estimates produced by different scales of soil mapping used as a data layer in the model. A GIS was used in combination with the revised wind erosion equation (RWEQ), a field-scale wind erosion model, to estimate wind erosion for two 50 km(2) areas. Landsat Thematic Mapper satellite imagery from 1993 with 30 m resolution was used as a base map. The GIS database layers included land use, soils, and other features such as roads. The major land use was agricultural fields. Data on 1993 crop management for selected fields of each crop type were collected from local government agency offices and used to 'train' the computer to classify land areas by crop and type of irrigation (agroecosystem) using commercially available software. The land area of the agricultural land uses was overestimated by 6.5% in one region (Lubbock County, TX, USA) and underestimated by about 21% in an adjacent region (Terry County, TX, USA). The total estimated wind erosion potential for Terry County was about four times that estimated for adjacent Lubbock County. The difference in potential erosion among the counties was attributed to regional differences in surface soil texture. Ln a comparison of different soil map scales in Terry County, the generalised soil map had over 20% more of the land area and over 15% greater erosion potential in loamy sand soils than did the detailed soil map. As a result, the wind erosion potential determined using the generalised soil map was about 26% greater than the erosion potential estimated by using the detailed soil map in Terry County. This study demonstrates the feasibility of scaling up from fields to regions to estimate wind erosion potential by coupling a field-scale wind erosion model with GIS and identifies possible sources of error with this approach. Published by Elsevier Science B.V. |
| 收录类别 | ISTP ; SCI |
| WOS关键词 | SOIL PROPERTIES ; INPUT |
| WOS研究方向 | Agriculture ; Environmental Sciences & Ecology |
| WOS类目 | Agriculture, Multidisciplinary ; Ecology ; Environmental Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000165738700019 |
| 出版者 | ELSEVIER SCIENCE BV |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2557986 |
| 专题 | 寒区旱区环境与工程研究所 |
| 通讯作者 | Zobeck, TM |
| 作者单位 | 1.USDA ARS, Wind Eros & Water Conservat Res Unit, Lubbock, TX 79415 USA 2.USGS, Biol Resources Div, Texas Cooperat Fish & Wildlife Res Unit, Lubbock, TX USA 3.Chinese Acad Sci, Desert Res Inst, Lanzhou, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zobeck, TM,Parker, NC,Haskell, S,et al. Scaling up from field to region for wind erosion prediction using a field-scale wind erosion model and GIS[J]. AGRICULTURE ECOSYSTEMS & ENVIRONMENT,2000,82(1-3):247-259. |
| APA | Zobeck, TM,Parker, NC,Haskell, S,&Guoding, K.(2000).Scaling up from field to region for wind erosion prediction using a field-scale wind erosion model and GIS.AGRICULTURE ECOSYSTEMS & ENVIRONMENT,82(1-3),247-259. |
| MLA | Zobeck, TM,et al."Scaling up from field to region for wind erosion prediction using a field-scale wind erosion model and GIS".AGRICULTURE ECOSYSTEMS & ENVIRONMENT 82.1-3(2000):247-259. |
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来源：寒区旱区环境与工程研究所
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