Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.geodrs.2017.06.003 |
Soil loss estimation using RUSLE model, GIS and remote sensing techniques: A case study from the Dembecha Watershed, Northwestern Ethiopia | |
Ostovari, Yaser1; Ghorbani-Dashtaki, Shoja1; Bahrami, Hossein-Ali2; Naderi, Mehdi1; Melo Dematte, Jose Alexandre3 | |
通讯作者 | Ghorbani-Dashtaki, Shoja |
来源期刊 | GEODERMA REGIONAL
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ISSN | 2352-0094 |
出版年 | 2017 |
卷号 | 11页码:28-36 |
英文摘要 | Soil loss is a major cause of land degradation worldwide, especially in large areas of arid and semi-arid regions. With advent of new software and technologies such as remote sensing (RS) and GIS, there is a necessity to integrate them to achieve important information in a faster manner. The aims of present study were to evaluate soil erodibility (K-factor) using standard plots under natural rainfall and prediction of soil loss by integrating RUSLE, GIS and RS in Fars Iran. The RUSLE factors were evaluated as following: the R-factor was calculated using modified Fournier index; K-factor was measured in the field using erosion plots and estimated by the USLE equation; the C-factor map was created using the NDVI; the LS-factor map was generated from digital elevation model with 10 m resolution, and the P-factor map was assumed as 1. Spatial distribution of annual soil loss in the Simakan watershed was obtained by multiplying these factors in GIS. The average of the measured K was 0.014 th MJ(-1) mm(-1) and 2.08 times less than the average of the estimated K (0.030 th MJ(-1) mm(-1)). The performance of RUSLE was highly influenced by the K, because the annual soil loss predicted using estimated K (11.0 th(-1) ya(-1)) was about twice as much as the measured K (5.7 th(-1) ya(-1)). The spatial distribution of soil loss classes predicted was: 73.64% very low, 14.79% low, 10.19% moderate and 1.25% severe. Areas of severe soil loss are situated in the northern portion of the study area, which needs suitable conservation practices. |
英文关键词 | Erodibility Erosivity Landsat 8 NDVI Inceptisols Entisols |
类型 | Article |
语种 | 英语 |
国家 | Iran ; Brazil |
收录类别 | SCI-E |
WOS记录号 | WOS:000457280400004 |
WOS类目 | Soil Science |
WOS研究方向 | Agriculture |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/199222 |
作者单位 | 1.Shahrekord Univ, Dept Soil Sci, Coll Agr, POX 115, Shahrekord, Iran; 2.Tarbiat Modares Univ, Dept Soil Sci, Coll Agr, Tehran, Iran; 3.Univ Sao Paulo, Dept Soil Sci, Luiz de Queiroz Coll Agr, Av Padua Dias 11, BR-13418260 Piracicaba, SP, Brazil |
推荐引用方式 GB/T 7714 | Ostovari, Yaser,Ghorbani-Dashtaki, Shoja,Bahrami, Hossein-Ali,et al. Soil loss estimation using RUSLE model, GIS and remote sensing techniques: A case study from the Dembecha Watershed, Northwestern Ethiopia[J],2017,11:28-36. |
APA | Ostovari, Yaser,Ghorbani-Dashtaki, Shoja,Bahrami, Hossein-Ali,Naderi, Mehdi,&Melo Dematte, Jose Alexandre.(2017).Soil loss estimation using RUSLE model, GIS and remote sensing techniques: A case study from the Dembecha Watershed, Northwestern Ethiopia.GEODERMA REGIONAL,11,28-36. |
MLA | Ostovari, Yaser,et al."Soil loss estimation using RUSLE model, GIS and remote sensing techniques: A case study from the Dembecha Watershed, Northwestern Ethiopia".GEODERMA REGIONAL 11(2017):28-36. |
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