Dynamic Assessment of Soil Water Erosion in the Three-North Shelter Forest Region of China from 1980 to 2015
- Autores: Ji C.1, Li X.2, Jia Y.1, Wang L.3
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Afiliações:
- School of Remote Sensing and Information Engineering, Wuhan University
- Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
- Key Laboratory of Environment and Disaster Monitoring and Evaluation, Institute of Geodesy and Geophysics, Chinese Academy of Sciences
- Edição: Volume 51, Nº 12 (2018)
- Páginas: 1533-1546
- Seção: Soil Еrosion
- URL: https://journals.rcsi.science/1064-2293/article/view/224830
- DOI: https://doi.org/10.1134/S1064229318120050
- ID: 224830
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Resumo
To evaluate the risk and dynamic change trends of water erosion status and intensity spatial distribution in the Three-North Shelter Forest Project (TNSFP) region from 1980 to 2015, the revised universal soil loss equation (RUSLE), after integrating precipitation, soil characteristics, vegetative cover, topography, land use, and a cover management factor weighted with rainfall during flood seasons, was employed. The results illustrated that soil conservation improved and the average water erosion rate decreased from 530 to 230 t/ (km2 a) following vegetation restoration and land use changes. The water erosion area decreased by 17% in the study area, and 78% of the area tended to be stable. However, a deteriorated region of 14.87 million km2 area was determined to be an erosional risk region, mainly distributed on the Qinghai-Tibet Plateau region and the southwestern Sandstorm region, which should be a priority for conservation measures. The new approach to calculate C-factor values, fully considering rainfall intensity as an appropriate weight, provided a rational and reliable estimate of the C-factor on a pixel-by-pixel basis. Further, it was found that the effectiveness of forest land use in reducing water erosion is a significant priority. These results will be useful for soil conservation management and the planning of TNSFP in the future.
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Sobre autores
C. Ji
School of Remote Sensing and Information Engineering, Wuhan University
Autor responsável pela correspondência
Email: cuicuiji@whu.edu.cn
República Popular da China, Wuhan, 430079
X. Li
Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
Email: cuicuiji@whu.edu.cn
República Popular da China, Beijing, 10010
Y. Jia
School of Remote Sensing and Information Engineering, Wuhan University
Email: cuicuiji@whu.edu.cn
República Popular da China, Wuhan, 430079
L. Wang
Key Laboratory of Environment and Disaster Monitoring and Evaluation, Institute of Geodesy and Geophysics,Chinese Academy of Sciences
Email: cuicuiji@whu.edu.cn
República Popular da China, Wuhan, 430077
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