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Urban Rain Flood Ecosystem Design Planning and Feasibility Study for the Enrichment of Smart Cities

Author

Listed:
  • Yixin Zhou

    (College of Water Conservancy and Civil Engineering, South China Agricultural University, Guangzhou 510642, China)

  • Ashutosh Sharma

    (Institute of Computer Technology and Information Security, Southern Federal University, 344006 Rostov Oblast, Russia)

  • Mehedi Masud

    (Department of Computer Science, College of Computers and Information Technology, Taif University, Taif 21944, Saudi Arabia)

  • Gurjot Singh Gaba

    (School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara 144411, India)

  • Gaurav Dhiman

    (Government Bikram College of Commerce, Punjab 147001, India)

  • Kayhan Zrar Ghafoor

    (Department of Computer Science, Knowledge University, Erbil 44001, Iraq)

  • Mohammed A. AlZain

    (Department of Information Technology, College of Computers and Information Technology, Taif University, Taif 21944, Saudi Arabia)

Abstract

The urban flooding situations have arisen in the modern scenario of urbanization due to climatic changes. This work contributes to designing a planned and feasible urban rain flood ecosystem to promote the construction of a sponge city. It has various advantages of improving the water environment, controlling urban waterlogging, reducing runoff pollution, improving river and lake water quality, recycling rainwater resources, replenishing groundwater, and many more. This paper combines the design methods and advantages of the design results formed in decades using traditional regulation and utilizing it for the present study. It reconstructs and integrates the traditional regulation and sponge city construction requirements, thereby providing a feasible urban rain-flood ecosystem in the industrial and smart city scenario. Finally, the regulation of new paddy areas in Yanjin city of China is considered for experimentation, and the design of the regulation is applied using this setup. The design results obtained from the test of sponge city construction have operability and can improve the urban environment and enhance the vitality of the city. The control plan’s design results integrating the sponge city idea can provide effective technical support and guarantee the overall urban environment. The work presented in this article can assess and plan the flood mitigation measures to monitor this type of situation leading to flooding risk reduction in smart cities.

Suggested Citation

  • Yixin Zhou & Ashutosh Sharma & Mehedi Masud & Gurjot Singh Gaba & Gaurav Dhiman & Kayhan Zrar Ghafoor & Mohammed A. AlZain, 2021. "Urban Rain Flood Ecosystem Design Planning and Feasibility Study for the Enrichment of Smart Cities," Sustainability, MDPI, vol. 13(9), pages 1-15, May.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:9:p:5205-:d:549816
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    References listed on IDEAS

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    1. Craig Lashford & Matteo Rubinato & Yanpeng Cai & Jingming Hou & Soroush Abolfathi & Stephen Coupe & Susanne Charlesworth & Simon Tait, 2019. "SuDS & Sponge Cities: A Comparative Analysis of the Implementation of Pluvial Flood Management in the UK and China," Sustainability, MDPI, vol. 11(1), pages 1-14, January.
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    5. Wamsler, Christine, 2017. "Stakeholder involvement in strategic adaptation planning: Transdisciplinarity and co-production at stake?," Environmental Science & Policy, Elsevier, vol. 75(C), pages 148-157.
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    Cited by:

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    3. Wenying Wang & Shuwen Wang, 2024. "Sustainable Stormwater Management for Different Types of Water-Scarce Cities: Environmental Policy Effect of Sponge City Projects in China," Sustainability, MDPI, vol. 16(13), pages 1-21, July.
    4. Ming Yang & Pawan Kumar & Jyoti Bhola & Mohammad Shabaz, 2022. "Development of image recognition software based on artificial intelligence algorithm for the efficient sorting of apple fruit," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 322-330, March.
    5. André Luiz Przybysz & Angelica Duarte Lima & Clayton Pereira de Sá & David Nunes Resende & Regina Negri Pagani, 2024. "Integrating City Master Plans with Sustainable and Smart Urban Development: A Systematic Literature Review," Sustainability, MDPI, vol. 16(17), pages 1-18, September.
    6. Xiaofei Huang & Vishal Jagota & Einer Espinoza-Muñoz & Judith Flores-Albornoz, 2022. "Tourist hot spots prediction model based on optimized neural network algorithm," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 63-71, March.

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