Estimation of soil erosion using RUSLE in Caijiamiao watershed, China

Pan, Jingxi; Wen, Yali

doi:10.1007/s11069-013-1006-2

Cited by 99 publications

(37 citation statements)

References 42 publications

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“…Among these models, the revised universal soil loss equation (RUSLE) [23] is a revised version of the universal soil loss equation (USLE) model [22]. RUSLE proved to be the most commonly applied model to estimate soil loss [30][31][32]. Recently, many studies have applied remote sensing (RS) and Geographic Information System (GIS) methodologies to assess soil erosion [29,31,[33][34][35].…”

Section: Introductionmentioning

confidence: 99%

Integrated Use of GCM, RS, and GIS for the Assessment of Hillslope and Gully Erosion in the Mushi River Sub-Catchment, Northeast China

et al. 2016

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Abstract:The black soil region of Northeast China has suffered from severe soil erosion by water. Hillslope and gully erosion are the main erosion types. The objective of this research was to integrate the assessment of hillslope and gully erosion and explore spatial coupling relations between them in the Mushi River sub-catchment using geographical conditions monitoring (GCM) including remote sensing (RS) and geographic information system (GIS) techniques. The revised universal soil loss equation (RUSLE) model and visual satellite image interpretation were used to evaluate hillslope and gully erosion, respectively. The results showed that (1) the study area as a whole had slight erosion due to rill and sheet erosion, but suffered more serious gully erosion, which mainly occurs in cultivated land; (2) GCM contributed to the overall improvement of soil erosion assessment, but the RUSLE model likely overestimates the erosion rate in dry land; (3) the hillslope and gully erosion were stronger on sunny slopes than on shady slopes, and mainly occurred at middle elevations. When the slope was greater than 15 degrees, the slope was not the main factor restricting the erosion, while at steeper slopes, the dominant forest land significantly reduced the soil loss; (4) trends of gully erosion intensity and density were not consistent with the change in soil erosion intensity. To our knowledge, this study was one of the first that attempted to integrate gully erosion and hillslope erosion on a watershed scale. The findings of this study promote a better understanding of the spatial coupling relationships between hillslope and gully erosion and similarly indicate that GCM, RS, and GIS can be used efficiently in the hilly black soil region of Northeast China to assess hillslope and gully erosion.

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Section: Introductionmentioning

confidence: 99%

Integrated Use of GCM, RS, and GIS for the Assessment of Hillslope and Gully Erosion in the Mushi River Sub-Catchment, Northeast China

et al. 2016

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“…Soil erosion is a natural process of detachment of soil particles and has an irreversible effect on the environment. Soil particles detached from the soil surface carry nutrients, pesticides, and other harmful farm chemicals into rivers, streams, and groundwater resources (Pan and Wen 2014;Yang 2014), which not only causes damage to soil and agricultural production, but also affects water quality and hydrological systems (Lee 2004;Lu et al 2004). What is more, erosion is increasingly being recognized as a hazard.…”

Section: Introductionmentioning

confidence: 99%

Estimation of soil erosion in some sections of Lower Jinsha River based on RUSLE

et al. 2015

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Soil erosion increasingly poses a great threat to human food security and environmental quality. It is necessary to implement the assessment of soil erosion so as to provide precautionary measures and relevant suggestions for soil conservation. In this paper, the soil erosion model, revised universal soil loss equation (RUSLE), was used to quantify the soil loss in a large mountainous area of Lower Jinsha River Basin. The analysis of the datasets by means of geographic information systems (GIS) together with RUSLE led to the estimation of soil erosion. Results show that the average annual soil erosion was estimated at 52.1 t ha -1 year -1 and the total annual soil loss was 4.5 9 10 8 t. The highest erosion was found along the main course of Jinsha River. Soil erosion was serious in the elevation zone between 1,675 and 2,153 m and slope zone with slopes between 15°and 35°. As for land use types, cropland and grassland contributed 84.1 % to total soil loss due to the large areas and higher erosion rates. The results can be used to advice the local government in prioritizing the areas of immediate conservation practices.

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“…Using RUSLE and GIS application model, Terranova et al (2009) studied soil erosion risk scenarios of Calabria in southern Italy. In Chinese Loess Plateau, Pan and Wen (2014) estimated soil erosion of Caijiamiao watershed in Gansu province. Nevertheless, the current knowledge on soil erosion at watershed scale is far from perfect in the Loess Plateau.…”

Section: Introductionmentioning

confidence: 99%

Assessment of soil erosion using RUSLE and GIS: a case study of the Yangou watershed in the Loess Plateau, China

et al. 2014

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Due to fragmentized terrain and physiognomy of typical loess landform, long-term anthropogenic influences, and inherent vulnerability, soil erosion is a serious problem in the Loess Plateau of China. There is a critical need to assess soil erosion and spatial distribution for achieving sustainable land use and comprehensive soil conservation management. Taking the Yangou watershed as a case and using the Landsat Thematic Mapper image (land use map), Digital Elevation Model (DEM), soil maps, and precipitation data, this study integrated the revised universal soil loss equation (RUSLE) with GIS technology to estimate soil loss and its spatial distribution. The benefits of soil conservation of land use types were analyzed and the measures for future soil conservation planning were discussed. The results show that silt-covered land and terrace have high benefits of soil conservation, indicating that building check dam, producing silt-covered land for farming, and converting sloped farmland to terrace are effective ways to control soil erosion in the Yangou watershed. Furthermore, increasing vegetation coverage on lower coverage grassland, especially on the slopes with gradients [25°, and eliminating human disturbance in barren areas are feasible and effective measures for soil conservation planning. This study reveals that the integrated RUSLE-GIS model can evaluate and map soil erosion quantitatively and spatially at watershed scale in the Loess Plateau of China. The findings suggest strategies for coping with future soil conservation planning and provide valuable references for future assessments both in the Loess Plateau of China and elsewhere.

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Estimation of soil erosion using RUSLE in Caijiamiao watershed, China

Cited by 99 publications

References 42 publications

Integrated Use of GCM, RS, and GIS for the Assessment of Hillslope and Gully Erosion in the Mushi River Sub-Catchment, Northeast China

Integrated Use of GCM, RS, and GIS for the Assessment of Hillslope and Gully Erosion in the Mushi River Sub-Catchment, Northeast China

Estimation of soil erosion in some sections of Lower Jinsha River based on RUSLE

Assessment of soil erosion using RUSLE and GIS: a case study of the Yangou watershed in the Loess Plateau, China

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