DocumentCode :
1791169
Title :
Study on the Assessment Methods of Soil Erosion Intensity - In Case of Ten Tributaries Upstream
Author :
Zhu Jisheng ; Li Jiren ; Huang Shifeng ; Zang Wenbin
Author_Institution :
China Inst. of Water Resource & Hydropower Res., Beijing, China
fYear :
2014
fDate :
25-26 Oct. 2014
Firstpage :
717
Lastpage :
720
Abstract :
Soil erosion is serious at present in China, so studying on the assessment methods of soil erosion intensity is significant for soil and water conservation planning and implementation. Take the Ten Tributaries upstream as an example. Based on remote sensing and GWAS technology, soil erosion intensity was calculated and comparatively analyzed using two methods of "soil erosion classification and grading standards" and RUSLE by means of precipitation, vegetation, land use, soil and slope data for the three typical years in Ten Tributaries upstream. The results showed that the inversion results of light and above erosion were roughly the same in 1990, 2000 and 2010. Based on "soil erosion classification and grading standard" minute and moderate erosion was main in three typical years, Minute erosion area was the most based on RUSLE, and the area of minute, light, moderate, Intensive, strength, serious erosion showed a gradual decrease except 1990 year. Compared the both methods, it found that RUSLE considering factor was more comprehensive, closer to the actual simulation, applicable to soil erosion quantitative research.
Keywords :
atmospheric precipitation; erosion; land use; soil; vegetation; AD 1990 to 2010; China; GWAS technology; RUSLE; land use; precipitation; remote sensing; slope data; soil conservation planning; soil data; soil erosion classification; soil erosion grading standard; soil erosion intensity; tributaries; vegetation; water conservation planning; Data models; Indexes; Remote sensing; Soil; Standards; Vegetation mapping; Water conservation; RUSLE; Remote Sensing; Soil Erosion Intensity; Ten Tributaries Upstream;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2014 7th International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-6635-6
Type :
conf
DOI :
10.1109/ICICTA.2014.174
Filename :
7003637
Link To Document :
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