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投影寻踪模型在污灌土壤污染分析中的应用
引用本文:侯秀玲,周益民,周密,王绍俊. 投影寻踪模型在污灌土壤污染分析中的应用[J]. 新疆农业科学, 2012, 49(4): 730-734
作者姓名:侯秀玲  周益民  周密  王绍俊
作者单位:新疆生产建设兵团环境监测中心站,乌鲁木齐,830011
基金项目:国家环境保护总局全国土壤污染状况调查项目(环发[2006]116号)
摘    要:[目的]利用基于粒子群算法的投影寻踪模型分析农田土壤污染问题,为农田土壤污染选用不同的污染防治方法提供科学依据.[方法]以石河子总场城市污水灌溉区为研究对象,采集表层土壤样品,对多种元素进行分析.以多个土壤污染指标作为投影参数来寻求其投影方向,由投影指标函效来反映污灌区土壤污染物特征,避免人为赋予权重的干扰.[结果]土壤污染以镍和铬为主要污染因子,并呈现随土壤环境质量综合状况的变差,土壤采样点数减少的规律.[结论]石河子总场对土壤污染影响最大的是污染物是镍和铬,对土壤的污染顺序为:Ni >Cd >Zn> Cu >V> As> Pb> Mn>F>Se>Hg >Cr.确定了石河子总场农田土壤污染防治方向和方法.

关 键 词:污灌区  土壤污染  投影寻踪  聚类
收稿时间:2012-04-25

Application of Projection Pursuit Model to Analyze Soil Pollutants of Sewage Irrigation Region
HOU Xiu-ling , ZHOU Yi-min , ZHOU Mi , WANG Shao-jun. Application of Projection Pursuit Model to Analyze Soil Pollutants of Sewage Irrigation Region[J]. Xinjiang Agricultural Sciences, 2012, 49(4): 730-734
Authors:HOU Xiu-ling    ZHOU Yi-min    ZHOU Mi    WANG Shao-jun
Affiliation:(Xinjiang Production and Construction Corps Environmental Monitoring Center,Urumqi 830011,China)
Abstract:【Objective】The purpose of this project was to provide a scientific basis for preventing and controlling pollution by choosing different methods basing on particle swarm algorithm projection pursuit model analysis of farmland soil pollution.【Method】 The sewage irrigation area from Shihezi city was chosen as the research object,surface soil was collected and various elements analysis was conducted.Through a number of indicators of soil contamination as projection parameters,the projection direction was determined.The projection index reflected the characteristics of pollutants in the soil of sewage irrigation areas.The method can avoid the artificial disturbance and acquire preferable effect.【Result】 The results showed that soil pollution was mainly from nickel and chromium,and showed a tendency of soil sampling points reduction and soil environmental comprehensive quality deterioration.【Conclusion】This study determined the prevention and control of soil pollution in Shihezi River.
Keywords:sewage irrigation  soil pollution  projection pursuit  clustering
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