Comparison of Moving Average-Based, S Growth-Based, and AUF Rainfall-Induced Soil Erosion Area Models

Anning River basin as an important soil erosion monitoring and reserve in Sichuan Province. It is of great significance to grasp the temporal and spatial changes of soil erosion in this area in time to realize the comprehensive treatment of regional soil erosion. Based on the revision of the general soil erosion equation (RUSLE), the present situation of soil erosion erosion in 1995-2015 years in this area was monitored, and the classification was completed according to the national grading criteria, and the following results were mainly achieved:(1) Soil erosion in Anning river basin as a whole presents a low gradient change in the eastern High West.(2) The proportion of raster in soil erosion area of each grade also showed different structural differences, which showed that the degree of micro > Mild > Moderate > Strong > Extremely > severe, and the proportion of raster in mild and below intensity erosion area reached more than 80%, and the whole basin was at mildly below erosion level.(3) One-dimensional linear regression analysis shows, within 20 years, about 90% of the raster cell slope in this area is negative, the overall change trend of soil erosion in this area shows a significant improvement

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Soil Erosion Assessment in the Watershed of Dehua District of Fujian Province

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.690-693.890 ◽

2013 ◽

Vol 690-693 ◽

pp. 890-894 ◽

Cited By ~ 1

Author(s):

Yue Zhang ◽

Bo Song ◽

Jin Wang ◽

Hui Sun

Keyword(s):

Soil Erosion ◽

Human Activities ◽

Great Influence ◽

Control Measures ◽

Fujian Province ◽

Planning And Control ◽

Land Use Types ◽

Erosion Area ◽

And Control ◽

Overlap Area

Based on different land use types and diverse watersheds of Dehua district of Fujian Province, soil erosion is assessed by using Universal Soil Loss Equation (USLE). According to the results, erosion of Dehua is generally mild, among which total erosion is 952.71×103 t/a and erosion area is 2210.67 km2. It is significant that the vast forest and grassland contribute to avoiding erosion effectively. In addition, the overlap area of Min and Jin River and Chanxi of Min River, the most frequent place of human activities, are the two highest soil erosion watersheds. The result shows that human activities have great influence on soil erosion. This article intends to provide evidence for planning and control measures of soil erosion.

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Soil Erosion Research Based on RS and USLE in Great Khinggan

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.864-867.2799 ◽

2013 ◽

Vol 864-867 ◽

pp. 2799-2803

Author(s):

Wei Li ◽

Wen Yi Fan ◽

Xue Gang Mao ◽

Lin Zhao

Keyword(s):

Soil Erosion ◽

Water Conservation ◽

Grid Cell ◽

Strength Distribution ◽

Space Distribution ◽

Digital Elevation ◽

Erosion Area ◽

Elevation Model ◽

Volume Estimates ◽

Cell Data

Uses 2011 years TM/ETM images classification were land uses/cover type figure, combination Great Khinggan area digital elevation model (DEM), and soil type distribution figure and research regional rainfall information, we got all factors values of space distribution in the USLE model, got soil erosion volume estimates data and soil erosion strength distribution figure based on grid cell data. Result 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.

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Remote Sensing Monitoring of Soil Erosion in Hunyuan County

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.295-298.2404 ◽

2013 ◽

Vol 295-298 ◽

pp. 2404-2408 ◽

Cited By ~ 1

Author(s):

Li Li Feng ◽

Xiu Ming Jia

Keyword(s):

Remote Sensing ◽

Soil Erosion ◽

Research Result ◽

Vegetation Coverage ◽

Affecting Factors ◽

Northern Area ◽

Remote Sensing Monitoring ◽

Erosion Area ◽

Remote Sensing Techniques ◽

Land Using

Combining remote sensing techniques with GIS, choosing land using, vegetation coverage and slope as the main affecting factors of soil erosion to monitor and evaluate the soil erosion of Hunyuan County. The research result shows that the soil erosion was seriously, and the soil erosion area that intensity was greater than mild erosion in 2009 is 1635km2, occupies 83.2% totally. The severely erosion area is including Northern area, Southeastern mountains and the area between the alluvial plains and the mountains.

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