黑龙江省黑土区拉林河流域土壤侵蚀强度评价方法比较

Comparison of the soil erosion intensity evaluation method in Lalin River Watershed of Heilongjiang black earth region

为了保护水土资源、改善生态环境,进行区域土壤侵蚀强度评价,以黑龙江省黑土区拉林河流域为研究区,选取坡度、坡向、土壤类型、土地利用状况和标准化植被指数等5项评价指标,分别采用逻辑回归和广义回归神经网络模型,在ArcGIS平台上进行土壤侵蚀强度评价。应用受试者工作特征曲线对2种方法的评价结果进行对比。结果表明:逻辑回归模型和广义回归神经网络模型的受试者工作特征曲线下面积值分别为0.857和0.881,与实际的土壤侵蚀强度情况基本吻合;2种模型的评价结果可以相互校验,广义回归神经网络模型评价结果的精度较高。

In order to protect water and soil resources and the environment,evaluate the regional soil erosion intensity,this paper took the Lalin River Watershed of Heilongjiang black earth region as the studied area.Slope angle,aspect,soil types,landuse and normalized vegetation index were chosen as evaluation indexes,and the logistic regression model and generalized regression neural network model were adopted to assess soil erosion intensity with the ArcGIS platform.Then,the results of two models were evaluated by the receiver-operating characteristic curve（i.e.ROC curve）.Analyses results showed that areas under the curve（i.e.AUC） of logistic regression model and generalized regression neural network model were respectively 0.857 and 0.881,consistent with the actual soil erosion intensity.The evaluation results of two models were established for mutual and the results of generalized regression neural network model were more accurate.