Land Metal Pollution and Improvement Based on SVM Vector Machine
Su, Cunan
Su, Lanhui
Wu, Bo
Wang, Jing
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How to Cite

Su C., Su L., Wu B., Wang J., 2018, Land Metal Pollution and Improvement Based on SVM Vector Machine, Chemical Engineering Transactions, 67, 649-654.
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Abstract

To sample, analyze and measure the heavy metal content in the soil, a comprehensive evaluation and analysis is conducted on the heavy metal content in the soil of the region. Then, the evaluation results is analyzed and compared with the help of scientific methods to provide scientific basis for the treatment of heavy metal pollution in the soil. Methods: The Hefei City is taken as an example and the soil sample from the surrounding urban areas of Huaihua, Hubei Province are selected to determine the heavy metal content, such as Ni, As, Cu, in the soil. Then, the svm vector machine is used for the comprehensive evaluation of the heavy metal pollution in the soil, and at the same time, the contrastive analysis is conducted on the results combined with the Nemerow integrated pollution index method and the Hakanson method. Results: Through the application of svm vector machine, it is finally found that the variation coefficient of Hg in the soil is 0.648, which is the highest among all heavy metals while the variation coefficient of Cr is the lowest, namely 54.7 mk·kg-1, indicating that the variation coefficient of heavy metal content in the soil in this region is large. Conclusion: Compared with the Nemerow integrated pollution index method and the Hakanson method, the results obtained by the svm vector machine evaluation method are more accurate. Especially considering the multiple influencing factors, the evaluation results are more authentic and more reliable suing the latter method.
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