Research Article | OPEN ACCESS
Soil Erosion Research Based on USLE in Great Khinggan
1, 2Wei Li, 1Wenyi Fan and 1Xuegang Mao
1Northeast Forestry University Forestry Institute, Harbin 150001, P.R. China
2Heilongjiang Institute of Science and Technology Architectural Engineering Institute,
Harbin 150027, P.R. China
Advance Journal of Food Science and Technology 2014 3:362-367
Received: October 25, 2013 | Accepted: November 02, 2013 | Published: March 10, 2014
Abstract
Based on the amended model of USLE universal soil loss equation and GIS technology, combined with the natural geographical features of Great Khinggan area, it has conducted quantitative analysis of the factor in Soil loss equation. Uses 2011 years TM/ETM images classification are land uses/cover type figure, combination Great Khinggan area Digital Elevation Model (DEM) and soil type distribution figure and research regional rainfall information, we gets all factors values of space distribution in the USLE model, gets soil erosion volume estimates data and soil erosion strength distribution figure based on grid cell data. Then according to Sl190-96 of ratings standard (table) for ratings, obtained Great Khinggan area soil erosion strength grade distribution figure. Study results indicate that the micro-absolute percentage of erosion throughout the study area, with increasing slope, area of erosion and erosion gradually reduce trend increases with the elevation increases, reduced erosion area after, generally good soil and water conservation in the region. Through the analysis of the region with a view to Government decision-making behavior, such as erosion control, soil and water conservation to provide the scientific basis.
Keywords:
GIS, great khingan mountains area, soil erosion, USLE,
References
-
Fernandez, C., J.Q. Wu, D.K. McCool and C.O. Stockle, 2003. Estimating water erosion and sediment yield with GIS, RUSLE and SEDD. J. Soil Water Conserv., 58: 128-136.
-
Hong, G., G. Wenfeng and K. Da, 2009. Quantitative erosion in maoer mountain soil based on DEM. Anal. Nat. Disasters Report., 18: 140-145.
-
Liu, K., Y. Kang, M.M. Cao, T. Guoan and S. Gennian, 2004. GIS-based assessment on sensitivity to soil and water loss in Shaanxi Province. J. Soil Water Conserv., 18: 168-170.
- Ma, C.F., J.W. Ma and A. Buhe, 2001. Quantitative assessment of vegetation coverage factor in USLE model using remote sensing data. Bull. Soil Water Conserv., 85: 6-9.
- Marques, M.J., R. Bienes, L. Jiménez and R. Pérez-Rodríguez, 2007. Effect of vegetal cover on runoff and soil erosion under light intensity events. Rainfall simulation over USLE plots. Sci. Total Environ., 378: 161-165.
CrossRef PMid:17306858
- Mo, B., B. Zhu and Y.K. Wang, 2004. Sensitivity evaluation for soil erosion in Chongqing city. Bull. Soil Water Conserv., 24: 45-48.
-
Nazzareno, D. and B. Gianni, 2007. Estimating monthly (R) USLE climate input in a Mediterranean region using limited data. J. Hydrol., 345: 224-236.
CrossRef
- Wang, B., Q. Yang, Z. Liu and X. Zhao, 2007. Extraction of RUSLE-LS factors using DEM data and GIS techniques. Sci. Soil Water Conserv., 5: 18-23.
- Wang, W., S. Zhang and Y. Li, 2008. Quantitative assessment of soil erosion in Sanjiang plain based on GIS and USLE. J. Arid Land Resour. Environ., 22: 112-117.
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
|
|
|
ISSN (Online): 2042-4876
ISSN (Print): 2042-4868 |
|
Information |
|
|
|
Sales & Services |
|
|
|