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<p>Water pollution incidents are often characterized by domain-specific knowledge that is inherently contradictory and uncertain, posing considerable challenges for informed decision-making. This paper presents a novel methodology to address these contradictions by leveraging Extenics-Conjugate Analysis, with a particular focus on its application to water pollution events. Initially, we construct Extenics sets and knowledge element models to systematically identify and reveal the contradictory elements within the domain of water pollution. The Extenics-Conjugate Analysis framework is then employed to systematically analyze and resolve these contradictions, thereby enabling the construction and evolution of more coherent, realistic, and scientifically robust scenarios. The ultimate goal is to improve the scientific rigor and operational efficiency in the management of water pollution incidents, contributing to more effective decision-making processes. The proposed framework was applied to a river segment in Region A. Results demonstrate that the Extenics-Conjugate Analysis effectively identifies and resolves domain-knowledge contradictions, thereby improving scenario robustness and decision quality in water contamination events.</p>

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Research on Eliminating Knowledge Contradictions in the Field of Water Pollution Control Based on Extenics-Conjugate Analysis

  • 期刊论文

  • 发表日期：

    2026年1月24日

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  • Jianxun Li,
  • Yujie Wu,
  • Yanying Shang,
  • Ruochen Zhang,
  • Heng Lu

摘要

Water pollution incidents are often characterized by domain-specific knowledge that is inherently contradictory and uncertain, posing considerable challenges for informed decision-making. This paper presents a novel methodology to address these contradictions by leveraging Extenics-Conjugate Analysis, with a particular focus on its application to water pollution events. Initially, we construct Extenics sets and knowledge element models to systematically identify and reveal the contradictory elements within the domain of water pollution. The Extenics-Conjugate Analysis framework is then employed to systematically analyze and resolve these contradictions, thereby enabling the construction and evolution of more coherent, realistic, and scientifically robust scenarios. The ultimate goal is to improve the scientific rigor and operational efficiency in the management of water pollution incidents, contributing to more effective decision-making processes. The proposed framework was applied to a river segment in Region A. Results demonstrate that the Extenics-Conjugate Analysis effectively identifies and resolves domain-knowledge contradictions, thereby improving scenario robustness and decision quality in water contamination events.