2020
DOI: 10.3390/su12051733
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Assessment of Soil Erosion in the Qinba Mountains of the Southern Shaanxi Province in China Using the RUSLE Model

Abstract: The Southern Shaanxi Province, an important ecological security barrier area in central China, is the primary water source of the south-to-north water transfer project in China. However, severe soil erosion seriously affects the safety of regional ecological security and water quality of the water diversion project. To reveal the characteristics and variation of soil erosion in the southern Shaanxi Province after the implementation of a series of eco-environmental construction measures, in this study, the spat… Show more

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Cited by 14 publications
(6 citation statements)
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References 45 publications
(73 reference statements)
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“…In order to detect the role of vegetation in soil loss transition, the soil erosion modulus of various times has been determined in tow scenarios according to Wang and Su [62]. The natural condition and C factor fixation to detect the role of vegetation in soil loss transition and the contribution rate of vegetation to soil erosion were analyzed by comparing the average soil erosion modulus under C factor fixation scenarios with the real average soil erosion modulus in the natural condition: The wildfire inventory dataset was created using the GPS data from the field surveys in 2012-2016 and evaluated using the hotspots of MODIS and Google Earth images.…”
Section: Role Of Vegetation In the Soil Erosion Changesmentioning
confidence: 99%
“…In order to detect the role of vegetation in soil loss transition, the soil erosion modulus of various times has been determined in tow scenarios according to Wang and Su [62]. The natural condition and C factor fixation to detect the role of vegetation in soil loss transition and the contribution rate of vegetation to soil erosion were analyzed by comparing the average soil erosion modulus under C factor fixation scenarios with the real average soil erosion modulus in the natural condition: The wildfire inventory dataset was created using the GPS data from the field surveys in 2012-2016 and evaluated using the hotspots of MODIS and Google Earth images.…”
Section: Role Of Vegetation In the Soil Erosion Changesmentioning
confidence: 99%
“…The soil erodibility (K) is intrinsic susceptibility of the soil to erosion, which is a function of its pedologic, physical, and chemical characteristics of the soils, such as percentage of silt and sand, structure, permeability, organic matter, parental material and others [Ozsoy et al, 2012, Pradhan et al, 2012. Soil erodibility values is most difficult factor in RUSLE model to determine [Wang and Su, 2020]. Typical values for soil erodibility range from about 0.10 for soils with high clay content, to 0.45 for soils with prevalent sand content.…”
Section: Methodsmentioning
confidence: 99%
“…In extreme weather conditions, rainfall affects equipment communication and causes restricted equipment operation. A large amount of domestic and international researches [1,2] has shown that if the sealing performance of the equipment is poor, rainwater seepage into the internal electronic devices can cause some functional damage and failures [3] or accidents [4], weakening the working ability of the equipment. Water mist is generated during rainfall and enters the internal electronic devices.…”
Section: Introductionmentioning
confidence: 99%