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1 km Raster Dataset of Annual Soil Erosion Modulus in Southwestern Mountainous Region of China (2000-2015)


WANG Jinying1,2ZHU Yunqiang2,3CHEN Pengfei*2
1School of Architecture Engineering,Shandong University of Technology,Zibo 255000,China2State Key Laboratory of Resources and Environment Information System,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China3Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application,Nanjing 210023,China

DOI:10.3974/geodb.2021.04.04.V1

Published:Apr. 2021

Visitors:1343       Data Files Downloaded:90      
Data Downloaded:4729.10 MB      Citations:

Key Words:

southwest of China,mountainous region,soil erosion modulus,RUSLE model,1 km

Abstract:

Soil erosion modulus is an important index to measure soil erosion and ecosystem. The southwest region of China includes Sichuan, Yunnan, Guizhou provinces and Chongqing city, and it is a rich of biodiversity and ecologically fragile area in China. The 1 km raster dataset of annual soil erosion modulus in Southwestern Mountainous Region of China (2000-2015) was developed based on precipitation, soil, SRTM 30 m digital elevation data, land cover, and MOD13A3 vegetation index data from 2000 to 2015, integrated with the RUSLE model (the Revised Universal Soil Loss Equation). The dataset includes: (1) boundary data of the study region; (2) annual soil erosion modulus data from 2000 to 2015. The dataset is archived in .shp and .tif data formats, and consists of 72 data files with data size of 109 MB (compressed into one single data file with 52.5 MB).

Foundation Item:

Chinese Academy of Sciences (XDA23100100)

Data Citation:

WANG Jinying, ZHU Yunqiang, CHEN Pengfei*. 1 km Raster Dataset of Annual Soil Erosion Modulus in Southwestern Mountainous Region of China (2000-2015)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2021. https://doi.org/10.3974/geodb.2021.04.04.V1.

References:

[1] Chen, H., Jiang, X. C., Ren, L., et al. Evaluation of soil erosion in the Huaihe River Basin based on RUSLE model [J].Chinese Journal of Soil Science, 2021, 52(1): 165-176.
     [2] Ma, Z. Z. Discussion on the method of estimating the value of various factors of General Soil Loss Equation using satellite images [J]. Soil and Water Conservation in China, 1989(3): 24-27.
     [3] Williams, J. R., Renard, K. G., Dyke, P. T. EPIC: a new method for assessing erosion's effect on soil productivity [J]. Journal of Soil and Water Conservation, 1983, 38(5): 381-383.
     [4] McCool, D. K., Brown, L. C., Foster, G. R., et al. Revised slope steepness factor for the Universal Soil Loss Equation [J]. Transactions of the ASAE, 1987, 30(5): 1387-1396.
     [5] Liu, B. Y., Zhang, K. L., Jiao, J. Y. Soil erodibility and its use in soil erosion prediction model [J]. Journal of Natural Resources, 1999, 21(4): 345-350.
     [6] Ran, C. H. Evolution of soil erosion in the inland of the Three Gorges Reservoir Area based on the RUSLE [J]. Ecology and Environmental Monitoring of Three Gorges, 2021, 6(1): 8-19.
     [7] Liu, B. T., Song, C. F., Tao, H. P. Quantitative assessment of soil erosion of Chengdu City [J]. Journal of Yangtze River Scientific Research Institute, 2016, 33 (9): 40-47.
     [8] Chen, F., Li, H. B. Spatial-temporal variations of soil erosion in Southern Yunnan Mountainous Area using GIS and RUSLE: A case study in Yuanyang County, Yunnan Province, China [J]. Chinese Journal of Applied Ecology, 2021, 32(2): 629-637.
     [9] Cao, Y., Wang, S. J., Bai, X. Y., et al. Spatial-temporal evolution processes and simulation of future soil erosion scenario in the karst valley of Southern China [J]. Acta Ecologica Sinica, 2019, 39(16): 6061-6071.
     [10] Wei, X. L., Yan, X., Long, X. M., et al. Quantitative evaluation of soil erosion at the Basin of Jian Lake based on RUSLE [J]. Shandong Agricultural Sciences, 2017, 49(01): 103-106, 125.
     [11] Niu, L. N., Shao, Q. Q., Liu, G. B., et al. Analysis on spatiotemporal characteristics and factors of soil erosion in Liupanshui City [J]. Journal of Geo-information Science, 2019, 21(11): 1755-1767.
     [12] Chen, M. Q., Wei, X., Zhang, K. L., et al. Analysis on the law of soil erosion in Guizhou Province based on the CSLE model [J]. Journal of Soil and Water Conservation, 2017, 31(03): 16-21, 26.
     [13] Ju, Z. S., Wen, A. B., Yan, D. C., et al. Study on estimation of soil erosion of small watershed in Three Gorges Reservoir Area based on GIS and RUSLE [J]. Earth and Environment, 2015, 43(03): 331-337.
     [14] Wang, Y. P., Zhou, Z. K., Teng, H. W., et al. Characteristics of soil erosion and nutrient loss under three land use types in a small watershed in Southern Yunnan [J]. Research of Soil and Water Conservation, 2021, 28(01): 11-18.
     [15] Niu, X. Y., Wang, Y. H., Yang, H., et al. Soil erosion and soil nutrient variation under different land use in Shuanglong Watershed of Dianchi Lake [J]. Research of Environmental Sciences, 2014, 27(09): 1043-1050.
     

Data Product:

ID Data Name Data Size Operation
1 SoilErosionSouthWestChina_2000-2015.rar 53806.62KB
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