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Effects of Landscape Development Intensity on River Water Quality in Urbanized Areas

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  • Yuncai Wang

    (Joint Laboratory of Ecological Urban Design (Research Centre for Land Ecological Planning, Design and Environmental Effects; International Joint Research Centre of Urban-Rural Ecological Planning and Design), College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China)

  • Jiake Shen

    (Department of Landscape Studies, College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China)

  • Wentao Yan

    (International Center of Urban & Rural Ecological Planning and Design Research, Key Laboratory of Ecology and Energy-Saving Study of Dense Habitat, Ministry of Education, Shanghai 200092, China
    Department of Urban Planning, College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China)

  • Chundi Chen

    (Joint Laboratory of Ecological Urban Design (Research Centre for Land Ecological Planning, Design and Environmental Effects; International Joint Research Centre of Urban-Rural Ecological Planning and Design), College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China)

Abstract

Urban development and human activities have greatly changed the appearance of urban landscapes, and also affect urban river water environments. Rapidly urbanized regions in China face particularly severe pressures and challenges in alleviating degradation of river water quality. Information is needed on which indexes of landscape development intensity in rapidly-urbanized areas are the key factors affecting the quality of river water environments, and how these factors affect water quality. In order to answer these questions, this research selected six indexes belonging to three dimensions for landscape development intensity evaluation. Based on five water quality parameters of 20 rivers and the land use data of 20 small watersheds of Liangjiang New Area, Chongqing, China in 2014, this research explored the correlation between the landscape development intensity indexes and river water quality through redundancy analysis. We found that the impervious surface rate and the land average fixed asset investment are the key indexes to affect river water quality. Regulating the corresponding indexes at the urban planning and design level, as well as the decision making level, can effectively achieve the goal of improving urban river water quality. The conclusions inspire strategies in planning and design, and are helpful for government decision making to effectively protect river water environment in rapidly urbanized areas in the developing countries.

Suggested Citation

  • Yuncai Wang & Jiake Shen & Wentao Yan & Chundi Chen, 2019. "Effects of Landscape Development Intensity on River Water Quality in Urbanized Areas," Sustainability, MDPI, vol. 11(24), pages 1-20, December.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:24:p:7120-:d:297141
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    References listed on IDEAS

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    1. Steven Carroll & An Liu & Les Dawes & Megan Hargreaves & Ashantha Goonetilleke, 2013. "Role of Land Use and Seasonal Factors in Water Quality Degradations," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(9), pages 3433-3440, July.
    2. Azam Haidary & Bahman Amiri & Jan Adamowski & Nicola Fohrer & Kaneyuki Nakane, 2013. "Assessing the Impacts of Four Land Use Types on the Water Quality of Wetlands in Japan," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(7), pages 2217-2229, May.
    3. Wang, Ping & Wu, Wanshui & Zhu, Bangzhu & Wei, Yiming, 2013. "Examining the impact factors of energy-related CO2 emissions using the STIRPAT model in Guangdong Province, China," Applied Energy, Elsevier, vol. 106(C), pages 65-71.
    4. Reiss, Kelly Chinners & Hernandez, Erica & Brown, Mark T., 2014. "Application of the landscape development intensity (LDI) index in wetland mitigation banking," Ecological Modelling, Elsevier, vol. 271(C), pages 83-89.
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    Cited by:

    1. Yu Song & Xiaodong Song & Guofan Shao, 2020. "Response of Water Quality to Landscape Patterns in an Urbanized Watershed in Hangzhou, China," Sustainability, MDPI, vol. 12(14), pages 1-17, July.

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