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选择位于风沙过渡区的榆林市为研究区域,以GIS技术和T-S模糊神经网络为依托,从土壤风蚀影响因子及风蚀动力学机制出发构建区域土壤风蚀危险度模型。基于此模型,对榆林市土壤风蚀危险度空间分异特征进行了分析,结果表明:T-S模糊神经网络模型可有效地揭示出区域土壤风蚀危险度与环境之间的映射关系,为土壤风蚀预测提供依据;风力、植被、气温、降水、地形等环境要素控制着土壤风蚀危险度空间分异格局;榆林市土壤风蚀危险度空间分异格局表现为:危险度从西北向东南逐渐降低。
Based on the GIS technology and T-S fuzzy neural network, Yulin City, located in the sandstorm transition area, is selected as the research area. Based on the influencing factors of wind erosion and the wind erosion kinetics, a regional wind erosion risk model is constructed. Based on this model, the spatial heterogeneity of wind erosion risk in Yulin City was analyzed. The results showed that the TS fuzzy neural network model could effectively reveal the mapping relationship between the risk of regional wind erosion and the environment, and provide the prediction of soil wind erosion The spatial pattern of risk of soil wind erosion was controlled by environmental factors such as wind, vegetation, temperature, precipitation and topography. The spatial pattern of risk of wind erosion in Yulin City showed that the risk decreased gradually from northwest to southeast.