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The Water Quality Index (WQI) is a widely used qualimetric tool that integrates water composition data – including physical, chemical, radiometric, genotoxic, and microbiological parameters – into a single score. However, its application in Ukraine faces challenges due to region-specific hydrological and hydrochemical conditions, such as high surface and groundwater hardness, elevated total organic carbon (TOC) levels, and the impacts of soil characteristics, climate, agricultural practices, and war-related disruptions. Additionally, Ukraine lacks a nationally unified, transparent, and scientifically robust water quality assessment framework tailored to diverse consumer needs (e.g., drinking water, irrigation, recreation, and aquaculture). To address these gaps, this study proposes the Ukrainian Water Quality Index (UWQI), a novel methodology featuring three key innovations: (1) the use of Harrington’s desirability function for parameter normalization and sub-index aggregation, enhancing logical consistency; (2) dynamic parameter selection aligned with Ukrainian water-use standards; and (3) the development of an open-source Python-based calculator to ensure reproducibility and accessibility. The UWQI’s practical utility is demonstrated through a case study on transboundary pollution in the Seim River following Russia’s invasion of Ukraine. By harmonizing Ukraine’s unique ecological requirements with global scientific rigor – despite data limitations and structural gaps – this research advances the country’s progress toward achieving the Sustainable Development Goals (SDGs). Furthermore, the UWQI framework facilitates scalable real-time monitoring and modelling through a Big Data approach.

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Toward the Development of the Ukrainian Water Quality Index (UWQI)

  • 会议论文

  • 发表日期：

    2025年

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  • Larysa Voitenko,
  • Tatiana Ushchapivska,
  • Olha Kravchenko,
  • Nadiia Prokopchuk,
  • Leonid Abarbarchuk

摘要

The Water Quality Index (WQI) is a widely used qualimetric tool that integrates water composition data – including physical, chemical, radiometric, genotoxic, and microbiological parameters – into a single score. However, its application in Ukraine faces challenges due to region-specific hydrological and hydrochemical conditions, such as high surface and groundwater hardness, elevated total organic carbon (TOC) levels, and the impacts of soil characteristics, climate, agricultural practices, and war-related disruptions. Additionally, Ukraine lacks a nationally unified, transparent, and scientifically robust water quality assessment framework tailored to diverse consumer needs (e.g., drinking water, irrigation, recreation, and aquaculture). To address these gaps, this study proposes the Ukrainian Water Quality Index (UWQI), a novel methodology featuring three key innovations: (1) the use of Harrington’s desirability function for parameter normalization and sub-index aggregation, enhancing logical consistency; (2) dynamic parameter selection aligned with Ukrainian water-use standards; and (3) the development of an open-source Python-based calculator to ensure reproducibility and accessibility. The UWQI’s practical utility is demonstrated through a case study on transboundary pollution in the Seim River following Russia’s invasion of Ukraine. By harmonizing Ukraine’s unique ecological requirements with global scientific rigor – despite data limitations and structural gaps – this research advances the country’s progress toward achieving the Sustainable Development Goals (SDGs). Furthermore, the UWQI framework facilitates scalable real-time monitoring and modelling through a Big Data approach.