基于免疫算法的农村土地污染物含量动态预测方法研究  

Dynamic Prediction of Rural Land Pollutant Content Based on Immune Algorithm

作　　者：王雪 Wang Xue(Chongqing Planning and Natural Resources Information Center,Chongqing 400112,China)

机构地区：[1]重庆市规划和自然资源信息中心,重庆400112

出　　处：《环境科学与管理》2023年第3期40-44,共5页Environmental Science and Management

摘　　要：针对当前农村土地污染物含量动态预测方法对于污染物渗透动态模拟能力较差,导致污染物动态扩散预测精度较差的问题,提出基于免疫算法的农村土地污染物含量动态预测方法。分析农村土壤污染物的排放方式,确定农村土地污染物排放初始值。使用免疫算法,实现农村土地污染物含量以及污染物在土壤中的扩散状态的动态模拟。将动态模拟结果与原始土壤污染物累积预测模型结合,得到农村土壤污染物含量动态预测基础模型。实验结果表明:此方法预测结果与实测结果较为一致,可有效提升污染物动态扩散预测精度与污染物含量预测精度。Aiming at the problem that the current dynamic prediction methods of rural land pollutant content have poor ability to simulate the dynamic infiltration of pollutants,which leads to poor prediction accuracy of the dynamic diffusion of pollutants,a dynamic prediction method of rural land pollutant content based on immune algorithm is proposed.The paper analyzes the emission mode of rural soil pollutants,and determines the initial value of rural land pollutant emission.The immune algorithm is used to realize the dynamic simulation of rural land pollutant content and pollutant diffusion in soil.By combining the dynamic simulation results with the original soil pollutant accumulation prediction model,the basic dynamic prediction model of rural soil pollutant content was obtained.The experimental results show that the prediction results of this method are relatively consistent with the measured results,which can effectively improve the prediction accuracy of pollutant dynamic diffusion and pollutant content.

关 键 词：免疫算法 土壤污染 污染物动态分析 动态预测 模拟预测 

分 类 号：X826[环境科学与工程—环境工程]