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