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选择黑龙江省乌裕尔河和讷谟尔河两流域所涉及的东北典型黑土区作为研究区,以SPOT 5影像为基础数据源,获取了研究区2005年的侵蚀沟分布数据,并且利用该数据对研究区沟蚀现状进行了评估。同时基于1:50 000地形图数据插值求取的DEM,提取了与沟蚀形成相关的11个地形因子。最后基于沟蚀数据和无共线性的8个地形因子构建了Logistic模型,据此模型对研究区沟蚀发生风险进行了评价,进而进行了沟蚀发生风险分级评价研究。结果表明研究区当前侵蚀沟共有14 184条,密度为322.11 m/km2,吞噬耕地约100.36 km2;基于Logistic模型获取的沟蚀发生风险空间分布图与研究区沟蚀分布现状较为吻合,以0.4分界时,研究区73%的侵蚀沟都发生在具有高危发生风险地区,评价结果能够反映研究区的沟蚀发生风险分布状况;通过风险分级图表可以评估研究区不同发生风险等级的沟蚀分布面积、分布特征和空间分布格局,便于管理者找出较为严重的侵蚀区,为有针对性地进行沟蚀防治提供依据。
The typical black soil areas in northeastern China, which are involved in the Wuyuer River and Naml River, are selected as the study area. Based on the SPOT 5 images, the distribution of erosion ditch data in 2005 is obtained. Based on this data, The status of gully erosion in the study area was evaluated. At the same time, eleven topographic factors related to gully erosion were extracted based on the DEM interpolated from 1:50 000 topographic map data. Finally, a Logistic model was constructed based on the eight gully data of gully erosion and non-collinearity. Based on this model, the risk of gully erosion in the study area was evaluated, and then the risk grading evaluation of gully erosion was studied. The results show that there are 14 184 erosion trenches in the study area, with a density of 322.11 m / km2 and a swallowed arable land of about 100.36 km2. Based on Logistic model, the spatial distribution of gully erosion is in good agreement with the gully erosion distribution in the study area, , 73% of the erosion ditches in the study area occurred in areas at high risk, and the evaluation results can reflect the risk distribution of gully erosion in the study area. The risk ejaculation charts can be used to assess the area of gully erosion at different risk levels in the study area, Distribution characteristics and spatial distribution pattern, to facilitate managers to identify more serious erosion area, to provide a basis for targeted erosion control.