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首页> 外文期刊>Stochastic environmental research and risk assessment >Assessment for surface water quality in Lake Taihu Tiaoxi River Basin China based on support vector machine
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Assessment for surface water quality in Lake Taihu Tiaoxi River Basin China based on support vector machine

机译：基于支持向量机的跳江太湖流域地表水水质评价。

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摘要

Support vector machine (SVM) classification models were constructed using a radial basis functions (RBF). These models were used for classification according to dissolved oxygen, permanganate index, ammoniac nitrogen, total nitrogen, or total phosphorus. Cross-validation and grid-search were applied to find satisfactory parameters for RBF for the improved models. Then the improved models were used to assess water quality utilizing a real-world data set (surface water quality monitoring data). The data set was comprised of more than 2,000 water samples representing 172 different sites monitored for one hydrological year. The results showed that the method presented in this paper had excellent performance, and the SVM classification models performed relatively better than the Linear Discriminant Analysis and Quadratic Discriminant Analysis models for classification.
机译：支持向量机（SVM）分类模型是使用径向基函数（RBF）构建的。这些模型用于根据溶解氧，高锰酸盐指数，氨氮，总氮或总磷进行分类。应用交叉验证和网格搜索为改进的模型找到满意的RBF参数。然后使用改进的模型利用真实数据集（地表水质监测数据）评估水质。数据集由代表一个水文年监测的172个不同站点的2,000多个水样组成。结果表明，本文提出的方法具有良好的性能，支持向量机分类模型的性能优于线性判别分析和二次判别分析模型。

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  • 作者

    Wei Li; Muyi Yang; Zhiwei Liang; Yao Zhu; Wei Mao; Jiyan Shi; Yingxu Chen;

  • 作者单位

    College of Environmental and Resources Sciences, Zhejiang University, Hangzhou 310058, China;

    College of Environmental and Resources Sciences, Zhejiang University, Hangzhou 310058, China;

    College of Environmental and Resources Sciences, Zhejiang University, Hangzhou 310058, China;

    College of Environmental and Resources Sciences, Zhejiang University, Hangzhou 310058, China;

    College of Environmental and Resources Sciences, Zhejiang University, Hangzhou 310058, China;

    College of Environmental and Resources Sciences, Zhejiang University, Hangzhou 310058, China;

    College of Environmental and Resources Sciences, Zhejiang University, Hangzhou 310058, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Water quality assessment; Support vector machine; Support vector classification; Tiaoxi River;

    机译：水质评估;支持向量机;支持向量分类;跳溪河;

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