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The Sustainable Development Assessment of Reservoir Resettlement Based on a BP Neural Network

Author

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  • Li Huang

    (National Research Center for Resettlement (NRCR), Hohai University, 1 Xikang Road, Nanjing 210098, China
    School of Public Administration, Hohai University, 1 Xikang Road, Nanjing 210098, China)

  • Jian Huang

    (National Research Center for Resettlement (NRCR), Hohai University, 1 Xikang Road, Nanjing 210098, China
    Business School, Hohai University, 1 Xikang Road, Nanjing 210098, China)

  • Wei Wang

    (College of Harbor, Coastal and Offshore Engineering, Hohai University, 1 Xikang Road, Nanjing 210098, China)

Abstract

Resettlement affects not only the resettlers’ production activities and life but also, directly or indirectly, the normal operation of power stations, the sustainable development of the resettlers, and regional social stability. Therefore, a scientific evaluation index system for the sustainable development of reservoir resettlement must be established that fits Chinese national conditions and not only promotes reservoir resettlement research but also improves resettlement practice. This essay builds an evaluation index system for resettlers’ sustainable development based on a back-propagation (BP) neural network, which can be adopted in China, taking the resettlement necessitated by step hydropower stations along the Wujiang River cascade as an example. The assessment results show that the resettlement caused by step power stations along the Wujiang River is sustainable, and this evaluation supports the conclusion that national policies and regulations, which are undergoing constant improvement, and resettlement has increasingly improved. The results provide a reference for hydropower reservoir resettlement in developing countries.

Suggested Citation

  • Li Huang & Jian Huang & Wei Wang, 2018. "The Sustainable Development Assessment of Reservoir Resettlement Based on a BP Neural Network," IJERPH, MDPI, vol. 15(1), pages 1-15, January.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:1:p:146-:d:127567
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    References listed on IDEAS

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    Cited by:

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    3. Piotr Boniecki & Małgorzata Idzior-Haufa & Agnieszka A. Pilarska & Krzysztof Pilarski & Alicja Kolasa-Wiecek, 2019. "Neural Classification of Compost Maturity by Means of the Self-Organising Feature Map Artificial Neural Network and Learning Vector Quantization Algorithm," IJERPH, MDPI, vol. 16(18), pages 1-9, September.
    4. Wang, Te & Li, Zongkun & Ge, Wei & Zhang, Hua & Zhang, Yadong & Sun, Heqiang & Jiao, Yutie, 2023. "Risk consequence assessment of dam breach in cascade reservoirs considering risk transmission and superposition," Energy, Elsevier, vol. 265(C).
    5. Wei Liu & Jie Xu & Jie Li & Shuzhuo Li, 2019. "Rural Households’ Poverty and Relocation and Settlement: Evidence from Western China," IJERPH, MDPI, vol. 16(14), pages 1-17, July.

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