垃圾渗滤液对土壤污染程度检测模型研究仿真  

Detection Model Simulation of Soil Pollution Degree of Garbage Leachate

作　　者：李闯[1] 黄继国[1] 庞朔 陈博谦[1] 

机构地区：[1]吉林大学环境与资源学院,吉林长春130026

出　　处：《计算机仿真》2014年第5期264-267,共4页Computer Simulation

摘　　要：研究垃圾填埋渗滤液土壤污染准确检测问题。渗滤液进入深层土壤后,土壤环境不同,渗滤液在下渗过程中,与土壤中的各种矿物质和水分子结合形成外部静电电流干扰,使得渗滤液导电率降低。传统的方法是通过渗滤液的快速导电特征进行污染检测的,一旦渗滤液导电率受到干扰,电流波动会导致检测准确率降低。提出利用OC-SVM模型的垃圾渗滤液对土壤污染程度检测的方法。采集垃圾渗滤液土壤污染回波信号,利用离散优化窗口对采集到的土壤污染回波信号进行处理,计算土壤污染回波信号瞬时频率估计结果,捕获污染信号特征空间的非线性结构特性,将上述特征映射到对应的特征空间中,将土壤污染程度检测问题转换为最优平面求解问题,得到土壤污染回波信号分类器,实现土壤污染程度检测。实验结果表明,利用改进算法进行垃圾渗滤液对土壤污染程度的检测,可以提高检测准确率。This paper studied accurate detection method for soil pollution of landfill leachate . After leachate enters the deep soil, due to the soil environment is different, in the process of infiltration, the leachate will combined with a variety of minerals and water molecules to form external static current interference, which reduces leachate conductivity. This paper presented a detection method for soil pollution of rubbish leachate based on OC-SVM model. Echo signal of soil pollution of garbage leachate was collected and treated by discrete optimization window. The in- stantaneous frequency estimation result of the echo signal was calculated, the nonlinear structure characteristics of the pollution signal feature space were captured, and the above features were made mapped to the corresponding feature space. Then the soil pollution detection problem was converted into the optimal solution of the plane and the contami- nated soil echo signal classifier were obtained, so as to realize the detecting of soil pollution degree. Experimental results show that using the improved algorithm for detecting soil pollution of garbage leachate can improve the detection accuracy.

关 键 词：垃圾渗滤液 土壤污染 回波信号 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]