Lu Gang. Quantitative Assessment of Soil Erosion in West Baiyanggou Watershed on North Slopes of Tianshan Mountains Based on CSLE Model[J]. Bulletin of Soiland Water Conservation, 2019, 39(2): 124-130.
DOI:
Lu Gang. Quantitative Assessment of Soil Erosion in West Baiyanggou Watershed on North Slopes of Tianshan Mountains Based on CSLE Model[J]. Bulletin of Soiland Water Conservation, 2019, 39(2): 124-130. DOI: 10.13961/j.cnki.stbctb.2019.02.020.
Quantitative Assessment of Soil Erosion in West Baiyanggou Watershed on North Slopes of Tianshan Mountains Based on CSLE Model
[Objective] Quantitative assessment of soil erosion in West Baiyanggou watershed on the north slopes of Tianshan Mountains and its distribution characteristics were studied in order to provide the scientific basis for ecological management and soil erosion control.[Methods] Taking the West Baiyanggou watershed in Urumqi County of Xijiang Wei Autonomous Region as the research area
using the methods of sampling plot survey
geographic information system(GIS)
remote sensing system(RS) and CSLE model
soil erosion was assessed and the spatial distribution of erosion intensity was analyzed.[Results] The average soil erosion modulus was 748.91 t/(km2·a) in the West Baiyanggou watershed on the north slope of the Tianshan Mountains. In most areas of this watershed
the intensity of soil erosion was at weak or slight level. Strong
extreme or severe erosions were mainly distributed in the middle and lower reaches of the basin. Soil erosion was significantly impacted by the topographic factors. In the regions with slope of 20°~40°
the highest soil erosion modulus varied between 1 127.22~1 229.62 t/(km2·a). In the regions with slope < 20°
the slope factor has a positive effect on the soil erosion modulus. While in the regions with slope of 40°~70°
the slope factor has a negative effect on the soil erosion modulus. Soil erosion mainly occurred on the south slope
southeast slope and east slope
and influenced by land use types with the following rank:shrub land[1 709.80 t/(km2·a)] > woodland[1 389.40 t/(km2·a)] > natural grassland[605.20 t/(km2·a)] > artificial pasture[334.71 t/(km2·a)] > irrigated land[113.69 t/(km2·a)].[Conclusion] The intensity of soil erosion is generally at slightness and lightness level. Strong erosion
extremely strong erosion
and severe erosion are mainly distributed in the middle and lower reaches of the basin. Soil properties
slope and land use types were closely related to the soil erosion distribution in the study area.
关键词
Keywords
references
Meyer L D. Evolution of the universal soil loss equation[J]. Journal of Soil and Water Conservation[J], 1984, 39(2):99-104.
Graaff J D, Aklilua, Ouessar M, et al. The development of soil and water conservation policies and practices in five selected countries from 1960 to 2010[J]. Land Use Policy, 2013, 32(3):165-174.
Vanrompaey A J J, Gerardgovers. Data quality and model complexity for regional scale soil erosion prediction[J]. International Journal of Geographical Information Systems, 2002, 16(7):663-680.
Siakeu J, Oguchi T. Soil erosion analysis and modelling:A review[J]. Chikei, 2000, 21(4):413-429.
Ganasri B P, Ramesh H. Assessment of soil erosion by RUSLE model using remote sensing and GIS:A case study of Nethravathi Basin[J]. Geoscience Frontiers, 2016, 7(6):953-961.
Fernández C, Vega J A. Evaluation of RUSLE and PESERA models for predicting soil erosion losses in the first year after wildfire in NW Spain[J]. Geoderma, 2016, 273:64-72.
Djoukbala O, Mazour M, Hasbaia M, et al. Estimating of water erosion in semiarid regions using RUSLE equation under GIS environment[J]. Environmental Earth Sciences, 2018, 77(9):345-352.
Wischmeier W H. et a l. A soil erodibility nomograph farmland and construction sites[J]. Journal of Soil and Water Conservation, 1971, 26, 189-193.
Wischmerier W H, Smith D D. Predicting rainfall erosion losses-a guide to conservation planning[R]. Washington:Agrichlture Handook, 1978.
Renard K G, Foster G R, Weesies G A, et al. Predicting soil erosion by water:A guide to conservation planning with the revised universal soil Loss equation(RUSLE)[M]. US:Agriculture Handbook, 1997.
Sharpley A N, Williams J R. EPIC-erosion/productivity impact calculator(2):User manual[J]. Technical Bulletin-United States Department of Agriculture, 1990, 4(4):206-207.
Foster G R, Wischmeier W H. Evaluating irregular slopes for soil loss prediction[J]. Trans ASAE Gen Ed Am Soc Agric Eng, 1974, 17:305-309.
刘宝元, 毕小刚, 符素华, 等. 北京土壤流失方程[M]. 北京:科学出版社, 2010.
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:American Society of Agricultural Engineers(USA), 1987,30(5):1387-1396.
Liu Baoyuan, Nearing M A, Risse M. Slope gradient effects on soil loss for steep slopes[J]. Transactions of the ASAE, 1994, 37(6):1835-1840.
Choudhury J, Ahmed N U, Idso S B, et al. Relations between evaporation coefficients and vegetation indices studied by model simulations[J]. Remote Sensing of Environment, 1994, 50(1):1-17.