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<p>Water resources are crucial for maintaining Earth’s ecosystems and promoting socio-economic growth. Achieving sustainable water resource management is a crucial aspect of fulfilling the United Nations’ SDG 6. However, current research on water resource sustainability assessments lacks comprehensive consideration of regional water quality information and water resource stress. This study, taking the demonstration area of the Yangtze River Delta as an example, aimed to evaluate SDG 6.3 and 6.4. By integrating ground monitoring data and multi-spectral remote sensing data from 2016 to 2023, we achieved spatiotemporal dynamic inversion of dissolved oxygen (DO), total nitrogen (TN), ammonia nitrogen (NH₃-N), and total phosphorus (TP). Subsequently, the fuzzy comprehensive evaluation method was employed to quantify regional water quality classes and water resource stress. The results indicate that: (1) From 2016 to 2023: TN, NH₃-N, and TP concentrations in the demonstration area showed a decreasing trend, while DO concentration increased; (2) The water quality class assessment reveals a recovery trend in the demonstration area’s water quality, with a concurrent decrease in the overall water stress level (<i>LWS</i>); (3) The mean <i>LWS</i> from 2016 to 2023 in the demonstration area was: industrial zone &gt; forestry &gt; agricultural &gt; residential zone. This study validated an optimized assessment approach for SDG 6.3 and 6.4 based on regional water quality parameter inversion and water quality class evaluation. This study provides scientific evidence and support for optimizing urban spatial planning, enhancing pollution control, and advancing SDG 6.</p>

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Assessment of the Sustainability of Water Resources Based on Regional Water Quality Parameter Inversion and Water Quality Class Assessment to Support SDG 6.3 and 6.4

  • 期刊论文

  • 发表日期：

    2025年12月29日

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  • Yuxun Zhang,
  • Wenpeng Lin,
  • Yaojen Tu,
  • Yukun Lin,
  • Jiaxin Gao,
  • Qinping Yu,
  • Yunchun Ye,
  • Yiwen Shi

摘要

Water resources are crucial for maintaining Earth’s ecosystems and promoting socio-economic growth. Achieving sustainable water resource management is a crucial aspect of fulfilling the United Nations’ SDG 6. However, current research on water resource sustainability assessments lacks comprehensive consideration of regional water quality information and water resource stress. This study, taking the demonstration area of the Yangtze River Delta as an example, aimed to evaluate SDG 6.3 and 6.4. By integrating ground monitoring data and multi-spectral remote sensing data from 2016 to 2023, we achieved spatiotemporal dynamic inversion of dissolved oxygen (DO), total nitrogen (TN), ammonia nitrogen (NH₃-N), and total phosphorus (TP). Subsequently, the fuzzy comprehensive evaluation method was employed to quantify regional water quality classes and water resource stress. The results indicate that: (1) From 2016 to 2023: TN, NH₃-N, and TP concentrations in the demonstration area showed a decreasing trend, while DO concentration increased; (2) The water quality class assessment reveals a recovery trend in the demonstration area’s water quality, with a concurrent decrease in the overall water stress level (LWS); (3) The mean LWS from 2016 to 2023 in the demonstration area was: industrial zone > forestry > agricultural > residential zone. This study validated an optimized assessment approach for SDG 6.3 and 6.4 based on regional water quality parameter inversion and water quality class evaluation. This study provides scientific evidence and support for optimizing urban spatial planning, enhancing pollution control, and advancing SDG 6.