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Evaluating the Influence of Land Use and Landscape Pattern on the Spatial Pattern of Water Quality in the Pearl River Basin

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  • Xuewen Liang

    (Guangxi Institute of Water Resources Research, Nanning 530023, China
    Guangxi Key Laboratory of Water Engineering Materials and Structures, Guangxi Institute of Water Resources Research, Nanning 530023, China)

  • Yue Pan

    (Guangxi Institute of Water Resources Research, Nanning 530023, China
    Guangxi Key Laboratory of Water Engineering Materials and Structures, Guangxi Institute of Water Resources Research, Nanning 530023, China)

  • Cunwu Li

    (Guangxi Institute of Water Resources Research, Nanning 530023, China
    Guangxi Key Laboratory of Water Engineering Materials and Structures, Guangxi Institute of Water Resources Research, Nanning 530023, China)

  • Weixiong Wu

    (Guangxi Institute of Water Resources Research, Nanning 530023, China
    Guangxi Key Laboratory of Water Engineering Materials and Structures, Guangxi Institute of Water Resources Research, Nanning 530023, China)

  • Xusheng Huang

    (Guangxi Institute of Water Resources Research, Nanning 530023, China
    Guangxi Key Laboratory of Water Engineering Materials and Structures, Guangxi Institute of Water Resources Research, Nanning 530023, China)

Abstract

Differences in land use and landscape patterns have become crucial factors affecting regional water quality. In order to investigate the effects of different land use and landscape patterns on water quality, this study used dissolved oxygen (DO), ammonia nitrogen (NH 4 + -N), and potassium permanganate index (COD Mn ) from 147 conventional water quality monitoring stations in the Pearl River basin of China from January to December 2021 as representative water quality parameters. The quantitative relationship between land use, landscape pattern, and water quality in the Pearl River basin was investigated using geographic information system technology (GIS) and partial least squares (PLS). The results showed that the overall water quality of the Pearl River basin was relatively positive and mainly threatened by organic pollution. The water quality of the Pearl River basin was affected by the spatial characteristics of land use and landscape pattern, showing a poorer spatial pattern on the eastern and western ends and a better one in the central part of the basin. The developed PLS regression model could better explain the quantitative relationship between water quality, land use, and landscape pattern, concluding that unused urban land has the greatest impact on water quality, with an impact coefficient of more than 0.10. The interspersion juxtaposition index (IJI) for representing landscape patterns had the greatest impact on water quality indicators, with an impact coefficient of −0.15 on DO, 0.13 on NH 4 + -N, and 0.15 on COD Mn , respectively. Meanwhile, land use types such as unused land and water and landscape patterns indicated by the Shannon diversity index (SHDI) and the contagion index (CONTAG) had significant effects on watershed water quality. The results of the study provide a reference value for the optimal adjustment of land use structure and water quality improvement in the basin.

Suggested Citation

  • Xuewen Liang & Yue Pan & Cunwu Li & Weixiong Wu & Xusheng Huang, 2023. "Evaluating the Influence of Land Use and Landscape Pattern on the Spatial Pattern of Water Quality in the Pearl River Basin," Sustainability, MDPI, vol. 15(20), pages 1-16, October.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:20:p:15146-:d:1265115
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    References listed on IDEAS

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    1. Sarah W. Cooley & Jonathan C. Ryan & Laurence C. Smith, 2021. "Human alteration of global surface water storage variability," Nature, Nature, vol. 591(7848), pages 78-81, March.
    2. Xinqi Hu & Hongqi Wang & Yi Zhu & Gang Xie & Huijian Shi, 2019. "Landscape Characteristics Affecting Spatial Patterns of Water Quality Variation in a Highly Disturbed Region," IJERPH, MDPI, vol. 16(12), pages 1-19, June.
    3. Gao, Jingbo & Li, Zhiqin & Chen, Zhujun & Zhou, Yang & Liu, Weiguo & Wang, Lei & Zhou, Jianbin, 2021. "Deterioration of groundwater quality along an increasing intensive land use pattern in a small catchment," Agricultural Water Management, Elsevier, vol. 253(C).
    4. Xin Zhang & Yuqi Liu & Lin Zhou, 2018. "Correlation Analysis between Landscape Metrics and Water Quality under Multiple Scales," IJERPH, MDPI, vol. 15(8), pages 1-14, July.
    5. Jörg Henseler & Marko Sarstedt, 2013. "Goodness-of-fit indices for partial least squares path modeling," Computational Statistics, Springer, vol. 28(2), pages 565-580, April.
    6. Peiyue Li & Hui Qian, 2018. "Water resources research to support a sustainable China," International Journal of Water Resources Development, Taylor & Francis Journals, vol. 34(3), pages 327-336, May.
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