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Evaluation of Water Quality and Heavy Metals in Wetlands along the Yellow River in Henan Province

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  • Zhendong Hong

    (Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, College of Environment and Planning, Henan University, Jinming Road, Kaifeng 475004, China)

  • Qinghe Zhao

    (Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, College of Environment and Planning, Henan University, Jinming Road, Kaifeng 475004, China)

  • Jinlong Chang

    (Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, College of Environment and Planning, Henan University, Jinming Road, Kaifeng 475004, China)

  • Li Peng

    (Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, College of Environment and Planning, Henan University, Jinming Road, Kaifeng 475004, China)

  • Shuoqian Wang

    (Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, College of Environment and Planning, Henan University, Jinming Road, Kaifeng 475004, China)

  • Yongyi Hong

    (Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, College of Environment and Planning, Henan University, Jinming Road, Kaifeng 475004, China)

  • Gangjun Liu

    (College of Science, Engineering and Health, RMIT University, 124 LaTrobe Street, Melbourne 3000, Australia)

  • Shengyan Ding

    (Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, College of Environment and Planning, Henan University, Jinming Road, Kaifeng 475004, China)

Abstract

Assessing spatiotemporal variation in water quality and heavy metals concentrations in wetlands and identifying metal contamination source are crucial steps for the protection and sustainable utilization of water resources. Using the water quality identification index (I wq ), heavy metal pollution index (HPI), hierarchical cluster analysis (HCA) and redundancy analysis (RDA), we evaluated spatiotemporal variation in water quality and heavy metals concentrations, and their interrelation in wetlands along the middle and lower Yellow River. The average I wq was highest during flood season but the average HPI was lowest in the same season. Meanwhile, the trend in mean HPI across three hydrological seasons was the opposite to that of mean I wq . There was significant variation in wetlands water pollution status across seasons. During the flood season, the wetlands in the affected area with hanging river were seriously polluted. In other seasons, pollution in the artificial wetlands was even more severe. Moreover, serious pollution of wetlands in belt transect #03 (Yuanyang-Zhongmu) was more frequent. Dissolved oxygen and chemical oxygen demand strongly influenced heavy metal concentrations, while other water quality parameters had different influences on heavy metal concentrations in different hydrological seasons. The causes of water pollution were divided into natural factors and human disturbance (with potential relationships between them). The polluted wetlands were greatly affected by the Yellow River during the flood season while they were more impacted by agricultural and domestic sewage discharge in other seasons. However, heavy metal deposition and leaching into riparian wetlands were still affected by diverse channel conditions. If this trend is allowed to continue unabated, wetlands along the middle and lower Yellow River are likely to lose their vital ecological and social functions.

Suggested Citation

  • Zhendong Hong & Qinghe Zhao & Jinlong Chang & Li Peng & Shuoqian Wang & Yongyi Hong & Gangjun Liu & Shengyan Ding, 2020. "Evaluation of Water Quality and Heavy Metals in Wetlands along the Yellow River in Henan Province," Sustainability, MDPI, vol. 12(4), pages 1-19, February.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:4:p:1300-:d:319057
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    References listed on IDEAS

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    1. Wen Liu & Long Ma & Yaoming Li & Jilili Abuduwaili & Salamat Abdyzhapar uulu, 2020. "Heavy Metals and Related Human Health Risk Assessment for River Waters in the Issyk−Kul Basin, Kyrgyzstan, Central Asia," IJERPH, MDPI, vol. 17(10), pages 1-13, May.
    2. Malabika Biswas Roy & Arnab Ghosh & Abhishek Kumar & Pankaj Kumar Roy, 2021. "Assessing the nature of seasonal meteorological change in people’s dependency on wetland: a case study of Bhagirathi–Hooghly floodplain system," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(12), pages 17881-17903, December.
    3. Huaibin Wei & Yao Wang & Jing Liu & Yongxiao Cao & Xinyu Zhang, 2023. "Spatiotemporal Variations of Water Eutrophication and Non-Point Source Pollution Prevention and Control in the Main Stream of the Yellow River in Henan Province from 2012 to 2021," Sustainability, MDPI, vol. 15(20), pages 1-18, October.
    4. Zhenghong Zhang & Fu Zhang & Zhengzhong Zhang & Xuhu Wang, 2023. "Study on Water Quality Change Trend and Its Influencing Factors from 2001 to 2021 in Zuli River Basin in the Northwestern Part of the Loess Plateau, China," Sustainability, MDPI, vol. 15(8), pages 1-21, April.
    5. Łukasz Gruss & Mirosław Wiatkowski & Krzysztof Pulikowski & Andrzej Kłos, 2021. "Determination of Changes in the Quality of Surface Water in the River—Reservoir System," Sustainability, MDPI, vol. 13(6), pages 1-18, March.
    6. Liang Pei & Chunhui Wang & Yiping Zuo & Xiaojie Liu & Yanyan Chi, 2022. "Impacts of Land Use on Surface Water Quality Using Self-Organizing Map in Middle Region of the Yellow River Basin, China," IJERPH, MDPI, vol. 19(17), pages 1-14, September.

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