IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2023i2p457-d1065247.html
   My bibliography  Save this article

Scale Effect of Sloping Landscape Characteristics on River Water Quality in the Upper Reaches of the Si River in East-Central China

Author

Listed:
  • Fang Liu

    (College of Environmental Science and Engineering, Donghua University, Shanghai 201620, China)

  • Tianling Qin

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research (IWHR), Beijing 100038, China)

  • Hao Wang

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research (IWHR), Beijing 100038, China)

  • Shanshan Liu

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research (IWHR), Beijing 100038, China)

  • Hanjiang Nie

    (Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, School of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China)

  • Jianwei Wang

    (Yellow River Institute of Hydraulic Research No. 45, Shunhe Road, Jinshui District, Zhengzhou 450003, China)

Abstract

Landscape composition and configuration determine the source of pollutants. They also determine the interception and pollution-holding potential of the surface landscape. Using the upper reaches of the Si River Basin, a major grain-producing region in Shandong province in east-central China, as a case study, this study analyzed the influence of landscape characteristics on river water quality (RWQ) after superimposing topographic slope factors for 2017, and investigated which spatial scale had the strongest influence on RWQ. The landscape indices of three spatial scales (riparian zone, river reach and sub-catchment) and three slope scales (general land, flat ground and steep slope) were extracted. Correlation analysis and redundancy analysis were used to reveal the effects of landscape characteristics on RWQ at different scales. The results indicate that the landscape types were dominated by arable land and construction land in 2017. Landscape indices at different scales were significantly different. The RWQ generally met Class II or III surface water quality standard. Arable land and construction land had a negative impact on RWQ, both of which were “source” landscapes, while forest was a “sink” landscape that can effectively alleviate the deterioration of RWQ. The eight landscape indices which indicated heterogeneity, fragmentation level, landscape diversity, and shape information had different degrees of correlation with NO 3 − -N, NH 4 + -N, COD Mn and BOD 5 . Different scales of landscape features had different correlations with RWQ, with the strongest correlation in the riparian zone, followed by the river reach, and the weakest in the sub-catchment. The influence of steep slope land was higher than that of flat ground land. The study confirmed that landscape structure and configuration had a scale effect on RWQ. It thus has great significance for water resources protection and land use management in the study area.

Suggested Citation

  • Fang Liu & Tianling Qin & Hao Wang & Shanshan Liu & Hanjiang Nie & Jianwei Wang, 2023. "Scale Effect of Sloping Landscape Characteristics on River Water Quality in the Upper Reaches of the Si River in East-Central China," Land, MDPI, vol. 12(2), pages 1-16, February.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:2:p:457-:d:1065247
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/2/457/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/12/2/457/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dechao Chen & Acef Elhadj & Hualian Xu & Xinliang Xu & Zhi Qiao, 2020. "A Study on the Relationship between Land Use Change and Water Quality of the Mitidja Watershed in Algeria Based on GIS and RS," Sustainability, MDPI, vol. 12(9), pages 1-20, April.
    2. Jialin Liu & Fangyan Cheng & Yi Zhu & Qun Zhang & Qing Song & Xinhong Cui, 2022. "Urban Land-Use Type Influences Summertime Water Quality in Small- and Medium-Sized Urban Rivers: A Case Study in Shanghai, China," Land, MDPI, vol. 11(4), pages 1-14, April.
    3. Dorota Dymek & Wojciech Zgłobicki & Bogusława Baran-Zgłobicka, 2021. "The Impact of Mosaic Land Use and Land Cover on the Quality of River Waters (Case Study: Lubelskie Province, E Poland)," Land, MDPI, vol. 10(12), pages 1-20, November.
    4. Mengmeng Yang & Simin Wei & Brian N. Mwangi & Shizhong Liu & Jianqiang Huang & Yuelin Li, 2022. "Horizontal Distribution Characteristics and Environmental Factors of Shrubland Species Diversity in Hainan Island, China," Land, MDPI, vol. 11(7), pages 1-15, July.
    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. Muhammad Hasan & Yanjun Shang & Mohamed Metwaly & Weijun Jin & Majid Khan & Qiang Gao, 2020. "Assessment of Groundwater Resources in Coastal Areas of Pakistan for Sustainable Water Quality Management Using Joint Geophysical and Geochemical Approach: A Case Study," Sustainability, MDPI, vol. 12(22), pages 1-22, November.
    2. Xiao Zhang & Xiaomin Chen & Wanshun Zhang & Hong Peng & Gaohong Xu & Yanxin Zhao & Zhenling Shen, 2022. "Impact of Land Use Changes on the Surface Runoff and Nutrient Load in the Three Gorges Reservoir Area, China," Sustainability, MDPI, vol. 14(4), pages 1-21, February.
    3. Zahra Allahdad & Saeed Malmasi & Morvarid Montazeralzohour & Seyed Mohammad Moein Sadeghi & Mohammad M. Khabbazan, 2022. "Presenting the Spatio-Temporal Model for Predicting and Determining Permissible Land Use Changes Based on Drinking Water Quality Standards: A Case Study of Northern Iran," Resources, MDPI, vol. 11(11), pages 1-14, November.
    4. Catherine C. Sang & Daniel O. Olago & Tobias O. Nyumba & Robert Marchant & Jessica P. R. Thorn, 2022. "Assessing the Underlying Drivers of Change over Two Decades of Land Use and Land Cover Dynamics along the Standard Gauge Railway Corridor, Kenya," Sustainability, MDPI, vol. 14(10), pages 1-21, May.

    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:jlands:v:12:y:2023:i:2:p:457-:d:1065247. 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.