DocumentCode :
3445128
Title :
Method of soil erosion intensity spatial variation research
Author :
Lianqi Zhu ; Shaoqi Pan
Author_Institution :
Key Lab. of Geospatial Technol. for the Middle & Lower Yellow River Regions, Kaifeng, China
fYear :
2013
fDate :
20-22 June 2013
Firstpage :
1
Lastpage :
5
Abstract :
This paper collected attribute data of affecting soil erosion factor by RS and GIS, combined soil erosion model, got the load and density of soil erosion in Luoning County, and analyzed the relationship between soil erosion and its main affecting factors. The results indicated that soil erosion modulus was 2799.29t/km2 and erosion load 6495744t, 61% of Luoning County had tiny or light degree erosion, while the serious eroded area, which mainly concentrated in the west, only occupied 20% of the area, but contributed 57.64% of sediment of whole area and need more protection. There is a basically positive correlation between soil erosion and slope; midding and more serious erosion were increased in different land use such as waters, farmland, construction land, forest, and unused land.
Keywords :
erosion; geographic information systems; geophysical techniques; sediments; soil; vegetation; GIS; Luoning County; RS; construction land; erosion load; farmland; forest; light degree erosion; serious eroded area; soil erosion density; soil erosion factor; soil erosion intensity spatial variation research method; soil erosion load; soil erosion model; soil erosion modulus; soil slope; tiny degree erosion; unused land; whole area sediment; Analytical models; Geographic information systems; Remote sensing; Rivers; Soil; Vegetation mapping; Water conservation; GIS; Luoning County; RS; soil erosion intensity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoinformatics (GEOINFORMATICS), 2013 21st International Conference on
Conference_Location :
Kaifeng
ISSN :
2161-024X
Type :
conf
DOI :
10.1109/Geoinformatics.2013.6626070
Filename :
6626070
Link To Document :
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