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《Earth Science Frontiers》 2008-05
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A preliminary study of soil pollution assessment model based on SVM——a case example from Changsha,Zhuzhou and Xiangtan districts,Hunan Province.

Wu Qianhong,Wang Guanjin,Dai Tagen,Hou Muzhou Central South University,Changsha 410083,China  
Considering the fact that a very limited amount of data of soil pollution are available and the demand of the urban development,the authors try to develop a model of soil pollution using impact factors that affect the quality of soil environment for the assessment and prediction of the soil pollution.The study employs the support vector machine(SVM)method,a fairly new pattern recognition tool,the advantages of which are the good adaptation to the case of limited samples,the effective generalization ability and the higher accuracy.The 9 impact factors including GDP,the amount of waste water,gas and solid waste,population,rainfall,vegetation,etc.are chosen as the input variables of the model and the percentages of the concentrations of Cu,Pb,Zn,Cd,Co,Ni,Cr,and Mn in polluted soil are taken as the output variables.The SVM model was trained and tested on 879 soil samples collected in 1986 and 2003,and 51 impact factor samples spanning 17 years.For optimizing and approximating the implicit performance function,we employed a Gauss kernel function and calculated the value kernel(γ),loss function insensibility(ε)and punish function parameters(C)by genetic algorithm methods;the corresponding values are 1.021,0.000416 and 1012,respectively.Eventually we thus obtained the SVM-based explicit performance functions of soil pollution with impact factors,and the model has shown its effectiveness.
【Fund】: 中国地质调查局与湖南省人民政府合作项目“湖南省洞庭湖区生态地球化学调查”(121201310304);; 国家自然科学基金项目(40473029)
【CateGory Index】: X833
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