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Water quality assessment and driving factors identification from a water quality-algae coupling perspective: A case study of the upper Xin'an River Basin in Anhui Province
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Jin-song ZHANG1, 2, 3, Xin-yue JU1, 2, Jie ZHENG4, Peng HUANG1, Xiang HU1, Ming DONG5, Renqing JIA1, Xiang WANG6, Mingjun MA1, Nanjing ZHAO1, 2, 5, Gaofang YIN1, 2, 5, *
China Environmental Science | 2025, 45(8) : 4482 - 4490
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China Environmental Science | 2025, 45(8): 4482-4490
• Environmental Ecology •
Water quality assessment and driving factors identification from a water quality-algae coupling perspective: A case study of the upper Xin'an River Basin in Anhui Province
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Jin-song ZHANG1, 2, 3, Xin-yue JU1, 2, Jie ZHENG4, Peng HUANG1, Xiang HU1, Ming DONG5, Renqing JIA1, Xiang WANG6, Mingjun MA1, Nanjing ZHAO1, 2, 5, Gaofang YIN1, 2, 5, *
Affiliations
  • 1.Key Laboratory of Environmental Optics and Technology, Key Laboratory of Environmental Optical Monitoring Technology Chinese Academy of Sciences, Anhui Institute of Optics and Fine Mechanics, Hefei Institute of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
  • 2.University of Science and Technology of China, Hefei 230026, China
  • 3.Anhui Provincial Environmental Monitoring Center, Hefei 230071, China
  • 4.Huangshan Ecological and Environmental Monitoring Center, Huangshan 245499, China
  • 5.Hefei Comprehensive Science Center, Institute of Environmental Research, Hefei 230071, China
  • 6.School of Electrical Engineering, Anhui Polytechnic University, Wuhu 241000, China
Published: 2025-08-20
Outline
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From the perspective of water quality-algae coupling, this study investigates the evolution of water quality and algal responses in the upper Xin'an River Basin in Anhui Province from August 2022 to April 2023. Multivariate statistical analyses identified the key drivers of water quality changes, and the relationships between water quality characteristics and algal indicators were explored. A composite algal indicator was developed to serve as an indicator of water ecological health, which includes [algal turbidity (AT) and algal dominance index (ADI)], elucidating its mechanisms in water quality assessment. Furthermore, a conceptual model integrating water quality and algal responses was proposed for comprehensive water quality identification. The results show that: (1) Water quality in the study area was primarily classified as Category Ⅲ (67.9%), with an average water quality index (WQI) of 81.61 (ranging from 55.42 to 90.83), signifying good quality overall. However, significant deterioration occurred between February and April 2023, with the WQI dropping to 76.09, highlighting the need for improved identification and protection measures. (2) Water temperature (WT), dissolved oxygen (DO), and nutrient concentrations were the primary factors driving water quality changes, with Spearman correlation coefficients reaching 0.72 (P≤0.01). (3) AT and ADI were effective composite indicators in rapidly identifying water quality degradation and ecosystem health. (4) The conceptual water quality identification model, constructed based on sensory characteristics, organic matter characteristics, and algal response, addresses the limitations of existing water quality standards, which often overlook biological indicators and degradation processes. These findings provide a scientific basis for identification and protecting the aquatic ecological environment of the Xin'an River Basin and offer insights into improving and innovating traditional monitoring systems.

water quality-algal coupling  /  water quality assessment  /  driving factors  /  Xin'an River
张劲松, 巨昕玥, 郑洁, 黄朋, 胡翔, 董鸣, 贾仁庆, 王翔, 马明俊, 赵南京, 殷高方. 水质-藻类耦合视角下的水质评估与驱动因子——以新安江上游安徽段流域为例. 中国环境科学, 2025 , 45 (8) : 4482 -4490 .
Jin-song ZHANG, Xin-yue JU, Jie ZHENG, Peng HUANG, Xiang HU, Ming DONG, Renqing JIA, Xiang WANG, Mingjun MA, Nanjing ZHAO, Gaofang YIN. Water quality assessment and driving factors identification from a water quality-algae coupling perspective: A case study of the upper Xin'an River Basin in Anhui Province[J]. China Environmental Science, 2025 , 45 (8) : 4482 -4490 .
Year 2025 volume 45 Issue 8
75
16
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  • Receive Date:2025-01-07
  • Online Date:2026-10-08
  • Published:2025-08-20
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  • Received:2025-01-07
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Affiliations
    1.Key Laboratory of Environmental Optics and Technology, Key Laboratory of Environmental Optical Monitoring Technology Chinese Academy of Sciences, Anhui Institute of Optics and Fine Mechanics, Hefei Institute of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
    2.University of Science and Technology of China, Hefei 230026, China
    3.Anhui Provincial Environmental Monitoring Center, Hefei 230071, China
    4.Huangshan Ecological and Environmental Monitoring Center, Huangshan 245499, China
    5.Hefei Comprehensive Science Center, Institute of Environmental Research, Hefei 230071, China
    6.School of Electrical Engineering, Anhui Polytechnic University, Wuhu 241000, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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