Wang Ting, Lu Zhongjun, Ning Jing, et al. Temporal and Spatial Characteristics of Soil Erosion in Typical Counties of Black Soil Region Based on RUSLE[J]. Bulletin of Soiland Water Conservation, 2023, 43(5): 227-234.
DOI:
Wang Ting, Lu Zhongjun, Ning Jing, et al. Temporal and Spatial Characteristics of Soil Erosion in Typical Counties of Black Soil Region Based on RUSLE[J]. Bulletin of Soiland Water Conservation, 2023, 43(5): 227-234. DOI: 10.13961/j.cnki.stbctb.2023.05.027.
Temporal and Spatial Characteristics of Soil Erosion in Typical Counties of Black Soil Region Based on RUSLE
[Objective] The spatiotemporal characteristics of soil erosion were analyzed in order to provide a reference for soil erosion control and evaluation of soil and water conservation benefits. [Methods] Based on the RUSLE soil erosion equation
the spatial-temporal evolution of soil erosion in the typical black soil region of Binxian County
Heilongjiang Province from 2000 to 2020 was analyzed with the support of RS and GIS. The effects of topographic factors and land use on soil erosion were also investigated. [Results] ① The average modulus of soil erosion in 2000
2010
and 2020 was 893.02 t/(km2·yr)
499.84 t/(km2·yr)
and 1 561.02 t/(km2·yr)
respectively. The soil erosion intensity was mainly classified as slight and mild. ② The low intensity erosion was distributed across the entire region
and the high intensity erosion was mainly located in the southern mountainous area. ③ Erosion mainly occurred at elevations of 100 to 200 m. Soil erosion area was inversely proportional to slope. 0°—5° slope was the main erosion gradient zone. Soil erosion area in the direction of the north slope was larger than in the direction of the south slope; ④ The soil erosion modulus and the area of sloping farmland in the study area were larger. This area is the key area for soil erosion control in Binxian County
Heilongjiang Province. [Conclusion] From 2000 to 2020
the average soil erosion modulus initially increased and then decreased
showing a significant spatiotemporal differentiation. Topographic factors and land use change had significant driving effects on soil erosion in the study area. It can be used as a reference for soil erosion control and soil and water conservation benefit evaluation in black soil region.
Heyder S M, Dansa A O, Asfaw S, et al. Soil erosion risk assessment and prioritization of midhagdu micro watersheds for conservation measure using RUSLE, GIS, RS and SPSS in Eastern, Ethiopia [J]. International Journal of Environmental Monitoring and Analysis, 2022,10(3):1-11.
Hao Gairui, Li Jiake, Li Shu, et al. Quantitative assessment of non-point source pollution load of PN/PP based on RUSLE model: a case study in Beiluo River basin in China [J]. Environmental Science and Pollution Research, 2020,27(27):33975-33989.
Fang Haiyan. Quantifying farmland shelterbelt impacts on catchment soil erosion and sediment yield for the black soil region, Northeastern China [J]. Soil Use and Management, 2021,37(1):181-195.
Williams J R, Renard K G, Dyke P T. EPIC: a new method forassessing erosion's effect on soil productivity [J]. Journal of Soil &Wate Conservation, 1983,38(5):381-383.
张科利,彭文英,杨红丽.中国土壤可蚀性值及其估算[J].土壤学报,2007,44(1):7-13.
Liu Baoyuan, Nearing M A, Shi P J, et al. Slope length effects on soil loss for steep slopes [J]. Soil Science Society of America Journal, 2000,64(5):1759-1763.
Wischmeier W H, Smith D. Predicting rainfall erosion losses: a guide to conservation planning [M]. Department of Agriculture, Science and Education Administration, 1978.