摘要
近年来,数学建模应用于空间数据样本分析范围越来越广,基于城市已经划分的五类功能区各自位置特点,以及八种主要重金属污染元素浓度数据样本,分析人类活动对城市表层土壤重金属污染影响。在可视化模拟过程中,首先运用克里格方法进行插值,而后建立模拟退火、神经网络等数学模型,研究探讨该城区重金属的空间分布、污染程度、污染原因,从而确定污染源位置,将模型应用推广。计算结果表明,该方法较为准确地推断出了污染源的位置及污染物分布状况,基本实现了对传播过程的模拟。
In recent decades,mathematical modeling has been widely utilized in sample data analysis.This paper mainly focused on discussing heavy metal pollution caused by 8 major elements about 5 sorts of districts with different functionality.Evaluating the impact of human activity on the top soil heavy metal pollution can be reached by the given sample data.To begin with,Kringing′s method of interpolation enabled us to visualize while simulate the situation.moreover,we use simulated annealing and artificial neural network to analyze the degree,original location,causes and spatial distribution of the pollution.According to our results,this paper accurately deduced the location of sources of pollutions and the distribution of heavy metal elements while simulated the process of dissemination.
出处
《物探化探计算技术》
CAS
CSCD
2013年第3期318-323,250,共6页
Computing Techniques For Geophysical and Geochemical Exploration
关键词
克里格插值
污染指数综合评价
模拟退火
污染物传播模型
神经网络模型
Kringing interpolation
index of comprehensive evaluation
simulated annealing
simulated model of dissemination
BP artificial neural network
