IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i20p15146-d1265115.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/20/15146/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/20/15146/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. RAJI, Ismaheel Adewumi & Ladan, Sahnun & Alam, Md. Mahmudul & Idris, Isma’il Tijjani, 2021. "Organisational Commitment, Work Engagement and Job Performance: Empirical Study on Nigeria’s Public Healthcare System," OSF Preprints 6v9jw, Center for Open Science.
    2. Salgado, Stéphane & Hemonnet-Goujot, Aurelie & Henard, David H. & de Barnier, Virginie, 2020. "The dynamics of innovation contest experience: An integrated framework from the customer’s perspective," Journal of Business Research, Elsevier, vol. 117(C), pages 29-43.
    3. Osama Sohaib & Kyeong Kang & Mohammad Nurunnabi, 2018. "Gender-Based iTrust in E-Commerce: The Moderating Role of Cognitive Innovativeness," Sustainability, MDPI, vol. 11(1), pages 1-16, December.
    4. Nematollah Shiri & Vahid Jafari‐Sadeghi, 2023. "Corporate social responsibility and green behaviour: Towards sustainable food‐business development," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(2), pages 605-620, March.
    5. Kerbouche Mohammed & Bouguesri Imene, 2020. "A Structural Analysis of the Chinese Patriarchal Family Business Model: What Happens in the Corridors of the Shrine?," Economics and Business, Sciendo, vol. 34(1), pages 224-245, February.
    6. Santanu Mandal & Souvik Roy & G. Amar Raju, 2016. "Tourism supply chain agility: an empirical examination using resource-based view," International Journal of Business Forecasting and Marketing Intelligence, Inderscience Enterprises Ltd, vol. 2(2), pages 151-173.
    7. Zheng, Xiaotian & Zhou, Youcheng & Iqbal, Sajid, 2022. "Working capital management of SMEs in COVID-19: role of managerial personality traits and overconfidence behavior," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 439-451.
    8. Adigbole, Ezekiel, 2019. "Strategic Cost Management And Accuracy Of Cost Information In Selected Manufacturing Firms In Lagos And Ogun States, Nigeria," International Journal of Contemporary Accounting Issues-IJCAI (formerly International Journal of Accounting & Finance IJAF), The Institute of Chartered Accountants of Nigeria (ICAN), vol. 8(1), pages 129-151, June.
    9. Chunci Chen & Guizhen He & Mingzhao Yu, 2023. "Sustainable Watershed Protection from the Public Perspective, China," Sustainability, MDPI, vol. 15(7), pages 1-18, April.
    10. Wan, Calvin & Shen, Geoffrey Qiping & Yu, Ann, 2014. "The role of perceived effectiveness of policy measures in predicting recycling behaviour in Hong Kong," Resources, Conservation & Recycling, Elsevier, vol. 83(C), pages 141-151.
    11. Barnes, Stuart J. & Mattsson, Jan & Sørensen, Flemming, 2014. "Destination brand experience and visitor behavior: Testing a scale in the tourism context," Annals of Tourism Research, Elsevier, vol. 48(C), pages 121-139.
    12. Khoa T. Tran & Phuong V. Nguyen, 2020. "Corporate Social Responsibility: Findings from the Vietnamese Paint Industry," Sustainability, MDPI, vol. 12(3), pages 1-20, February.
    13. Feng Zhou & Chunhui Wen, 2023. "Research on the Level of Agricultural Green Development, Regional Disparities, and Dynamic Distribution Evolution in China from the Perspective of Sustainable Development," Agriculture, MDPI, vol. 13(7), pages 1-47, July.
    14. Nicoleta Samarescu & Robert Bumbac & Alin Zamfiroiu & Maria-Cristina Iorgulescu, 2024. "Artificial Intelligence in Education: Next-Gen Teacher Perspectives," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 26(65), pages 145-145, February.
    15. Song-yi Youn & Joohye Hwang & Li Zhao & Jong-Bum Kim, 2023. "Privacy paradox in 3D body scanning technology: the effect of 3D virtual try-on experience in the relationship between privacy concerns and mobile app adoption intention," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    16. Siew, Eu-Gene & Rosli, Khairina & Yeow, Paul H.P., 2020. "Organizational and environmental influences in the adoption of computer-assisted audit tools and techniques (CAATTs) by audit firms in Malaysia," International Journal of Accounting Information Systems, Elsevier, vol. 36(C).
    17. Yang Liu & Lijuan Li, 2023. "Multiple Evaluations of the Spatial and Temporal Characteristics of Surface Water Quality in the Typical Area of the Yangtze River Delta of China Using the Water Quality Index and Multivariate Statist," IJERPH, MDPI, vol. 20(4), pages 1-22, February.
    18. Monica Ioana Burcă-Voicu & Romana Emilia Cramarenco & Dan-Cristian Dabija, 2022. "Investigating Learners’ Teaching Format Preferences during the COVID-19 Pandemic: An Empirical Investigation on an Emerging Market," IJERPH, MDPI, vol. 19(18), pages 1-21, September.
    19. Sleimi Mohammad & Elayan Malek Bakheet & Hajleh Lamar Abu, 2022. "Core Job Characteristics and Personal Work Outcomes: The Mediating Role of Critical Psychological States: Empirical Evidence from Northern Cyprus Hotel Sector," Organizacija, Sciendo, vol. 55(3), pages 228-240, August.
    20. E. Raguseo & Pigni, F. & Claudio Vitari, 2021. "Streams of digital data and competitive advantage: The mediation effects of process efficiency and product effectiveness," Grenoble Ecole de Management (Post-Print) hal-03323663, HAL.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:20:p:15146-:d:1265115. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.