Model construction and application of evaluation on the effectiveness of ecological restoration of mines based on RF
In order to evaluate the effectiveness of ecological restoration of mines objectively,This article designed an evaluation model based on the Random Forest(RF)algorithm.According to 17 evaluation indicators,such as the area of mine ecological land,the vertical structure of community,the normalized difference vegetation index(NDVI),and the consistency with surrounding land types,the weight of each indicator was determined by the information volume method,and the repaired mine patches were classified by the RF.The rea-sonableness of the index and the accuracy of the model were tested by the k-fold cross validation(CV).The results show that the model can better reflect the effectiveness of the ecological restoration of mines in Chongqing,and the results are fit up to 80％.The fit rate of the restored mining pattern after 2 years can reach 92％or higher.The construction method of the evaluation model based on the Ran-dom Forest(RF)algorithm proposed in this article can provide reference for the ecological restoration assessment and governance of mines in the hilly and mountainous areas of Chongqing and other regions.
mineral resourcesecological restorationeffectiveness evaluationmodel application
万方数据
维普
