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Spatial and temporal relation rule acquisition of eutrophication in Da'ning River based on rough set theory

机译:基于粗糙集理论的大宁河富营养化时空关系规律获取

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摘要

Since the mechanisms of eutrophication are complicated and many other factors affect these mechanisms, methods such as quantitative statistics and numerical simulation, have their limitations in analyzing the spatiotemporal relations of eutrophication. The rough set theory (RST) was used to describe the spatiotemporal relations of eutrophication in Da'ning River without any of other prior knowledge. Rules of relations in time and space affecting eutrophication in the Da'ning River backwater area were extracted by taking representation of relations in time and space among eutrophication at a long river section of Da'ning River backwater area, by taking nine sets of encrypted monitoring data in 2003 as example, and by making season, area and eutrophication level as the decision attributes, respectively, to represent specific features of the eutrophication phenomenon in the Da'ning River backwater area from the points of view of time, space, and level by analysis of spatiotemporal relationship rules. This study result shows that the temporal and spatial differences between eutrophication phenomena in the long river section of the Da'ning River backwater area are significant. Eutrophication for each section is less serious in autumn, more in spring and most in summer. Eutrophication degree gradually decreases from estuary to upstream, which is in conformity with reality. The RST of eutrophication in Da'ning River may inform environmental decision-makers and assist them in making more cost-effective decisions. (C) 2016 Elsevier Ltd. All rights reserved.
机译:由于富营养化的机制复杂且许多其他因素影响这些机制,因此定量统计和数值模拟等方法在分析富营养化的时空关系方面存在局限性。在没有任何其他先验知识的情况下,使用粗糙集理论(RST)来描述大宁河富营养化的时空关系。通过对大宁河回水区长河段富营养化之间的时空关系表示法,采用九套加密监测方法,提取了影响大宁河回水区富营养化的时空关系规则。以2003年的数据为例,以季节,面积和富营养化水平为决策属性,从时间,空间和水平的角度代表大宁河回水区富营养化现象的具体特征。通过分析时空关系规则。研究结果表明,大宁河回水区长河段富营养化现象的时空差异很显着。在秋天,每个部分的富营养化程度都较小,而在春季和夏季则更为严重。富营养化程度从河口到上游逐渐降低,这与现实相符。大宁河富营养化的RST可能会通知环境决策者,并帮助他们做出更具成本效益的决策。 (C)2016 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Ecological indicators》 |2016年第7期|180-189|共10页
  • 作者单位

    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;

    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|Chongqing Univ Posts & Telecommun, Chongqing Key Lab Computat Intelligence, Chongqing 400065, 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;

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

    Rough set; Spatiotemporal relation; Eutrophication; Rule extraction;

    机译:粗糙集时空关系富营养化规则提取;

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