基于GIS与PPC的土壤重金属污染综合评价

摘要

采用投影寻踪分类（PPC）模型对土壤重金属污染进行综合评价,评价中运用基于实数编码的加速遗传算法（SAGA）优化PPC模型投影方向。基于PPC模型的综合评价使土壤重金属污染评价中各指标结果相容,并且避免了传统加权评价中的人为干扰因素。为了直观表达评价结果和掌握评价区域整体污染情况,对评价结果进行了研究,并结合惠州市土壤监测数据,提出了运用GIS技术和ArcMap的空间插值功能处理评价结果。实验结果表明,PPC模型能准确客观地对土壤重金属污染进行综合评价,同时,GIS技术用于土壤重金属污染评价可以对评价数据进行各种空间处理。%This paper evaluates heavy metal pollution of soil using Projection Pursuit Classification（PPC） model,during which the projection direction is optimized using real number coding based accelerating genetic algorithm（RAGA）.The various indexes of the result of the evaluation based on PPC model are compatible,and the evaluation avoids the artificial interference which the conventional weighted evaluation cannot avoid.The results of the evaluation are studied in order to express the evaluation results directly and master the pollution status of the evaluated area.Based on Huizhou city soil monitor data,evaluation result processing using GIS technique and ArcMap spatial value insertion function is put forward.The result of the experiment shows that PPC model can evaluate soil heavy metal pollution accurately and at the same time applying GIS technique in the evaluation of soil heavy metal pollution can perform various spatial treatment to evaluating data.