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Water Bloom Precursor Analysis Based on Two Direction S-Rough Set

机译:基于双向S-粗糙集的水华先兆分析

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摘要

In the field of water quality management, it is vital to determine the main precursory anomalies from the precursor of intricate water bloom in the context of a given area. In this paper, a water bloom precursor analysis method, based on two direction singular rough set, was proposed. This approach was produced on the basis of the different sections and pre-water bloom of water bloom precursor anomalies and characteristic of elements transferred in singular rough set. For testing the validity of two direction singular rough set application in water bloom precursor analysis, Xiangxi River, which is one of the typical tributaries of Three Gorges Reservoir in China, was selected as study area. The result showed that compared with other indexes, pH and dissolved oxygen (DO) are the most valuable indicators of water bloom in the precursory anomalies. Furthermore, regarding with water bloom precursory anomalies in Xiangxi River, most of the nutrient loading and biological community are the key indicators. Hence, this method can determine the main precursory anomaly for water bloom in the study area, which provides powerful knowledge support to water quality specialists for them to comprehensively analyze precursory anomaly so as to find out its relationship with occurrence law of water bloom.
机译:在水质管理领域,至关重要的是根据给定区域内复杂水华的前兆确定主要的前兆异常。提出了一种基于双向奇异粗糙集的水华前兆分析方法。该方法是基于水华前兆异常的不同剖面和水华前期以及奇异粗糙集中传递的元素的特征而产生的。为了检验双向奇异粗糙集在水华前兆分析中的有效性,选择了中国三峡水库典型支流之一的湘西河作为研究区域。结果表明,与其他指标相比,pH和溶解氧(DO)是前兆异常中水华的最有价值的指标。此外,关于湘西河水华的前兆异常,主要的养分含量和生物群落是关键指标。因此,该方法可以确定研究区水华的主要前兆异常,为水质专家对水华的异常现象进行综合分析,以了解其与水华发生规律的关系提供了有力的知识支持。

著录项

  • 来源
    《Water Resources Management》 |2017年第5期|1435-1456|共22页
  • 作者单位

    Chinese Acad Sci, Big Data Min & Applicat Ctr, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China|Univ Chinese Acad Sci, Beijing 100049, Peoples R China;

    Chinese Acad Sci, Big Data Min & Applicat Ctr, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China;

    Chinese Acad Sci, Big Data Min & Applicat Ctr, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China|Univ Chinese Acad Sci, Beijing 100049, Peoples R China;

    Chinese Acad Sci, Big Data Min & Applicat Ctr, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China;

    Chinese Acad Sci, Big Data Min & Applicat Ctr, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China;

    Chinese Acad Sci, Big Data Min & Applicat Ctr, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China;

    Chinese Acad Sci, Big Data Min & Applicat Ctr, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China;

    Chinese Acad Sci, Big Data Min & Applicat Ctr, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China;

    Chinese Acad Sci, Big Data Min & Applicat Ctr, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China|Univ Chinese Acad Sci, Beijing 100049, Peoples R China;

    Chinese Acad Sci, Big Data Min & Applicat Ctr, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China;

    Chinese Acad Sci, Big Data Min & Applicat Ctr, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China;

    Chinese Acad Sci, Big Data Min & Applicat Ctr, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China;

    Yubei Municipal Gardens Bur, Chongqing 401120, Peoples R China;

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

    Water bloom; Rough set; Two direction singular rough set;

    机译:水华;粗糙集;双向奇异粗糙集;

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