黑土区表层土壤可蚀性因子评价模型的构建

4区 医学
Wenfeng Gong, Tiedong Liu, Yanli Jiang
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引用次数: 0

摘要

黑土地区水土流失日益严重,已引起社会各界的广泛关注。在此背景下,研究并构建了黑土区表层土壤可蚀性因子评价模型。侵蚀沟数据来源于黑土区表层土壤侵蚀沟普查数据。在量化数据形态特征的基础上,利用分形理论对侵蚀沟矢量数据进行网格化处理。利用ArcGIS的属性查询功能计算非空网格个数,依次变换像素大小,得到不同的覆盖网格和相应的分形参数。采用PESERA模型对黑土区表层土壤径流和土壤侵蚀过程进行了数值模拟。建立黑土区表层土壤侵蚀模型,在建立自定义模型的过程中,需要仔细选择建模所用的参数,需要考虑在土壤侵蚀整个过程中可能起作用的所有因素。对黑土区表层土壤可蚀性的影响因素进行了分析,包括土壤可蚀性K值的空间分布特征、土壤可蚀性K值的半方差函数分析和土壤可蚀性K值的空间分布特征分析。最后,建立了黑土区表层土壤可蚀性因子的评价模型。通过对可蚀性因子定量性能和评价精度的测试,证明该方法具有良好的可蚀性因子定量性能和评价精度,具有较强的实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Construction of Evaluation Model of Surface Soil Erodibility Factors in Black Soil Area
The increasing soil erosion in black soil area has caused widespread concern from all walks of life. Based on this background, the evaluation model of surface soil erodibility factor in black soil area is studied and constructed. The data of erosion gully is from the general survey data of surface soil erosion gully in black soil area. After quantifying the morphological characteristics of the data, the vector data of erosion gully are gridded by fractal theory. The number of non-empty grids is calculated by the attribute query function of ArcGIS, and the pixel size is transformed in turn to obtain different coverage grids and corresponding fractal parameters. The surface soil runoff and soil erosion process in black soil area are simulated by PESERA model. To build the surface soil erosion model of black soil area, in the process of building the user-defined model, it needs to carefully select the parameters used for modeling, and it needs to consider all the factors that may play a role in the whole process of soil erosion. The factors of surface soil erodibility in black soil area are analyzed, including spatial distribution characteristics of soil erodibility’s K value, semivariance function analysis of soil erodibility’s K value, and spatial distribution characteristics analysis of soil erodibility’s K value. Finally, the evaluation model of surface soil erodibility factor in black soil area is constructed. By testing the quantitative performance and evaluation accuracy of erodibility factors, it is proved that this method has good quantitative performance and evaluation accuracy of erodibility factors, and has strong practicability.
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