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

Bibliographic Data

ID15512245
AuthorsLi Huang (0000-0001-5365-7899, Hohai University), Jian Huang (0000-0001-9883-4940, Hohai University), Wei Wang (0000-0001-5806-2368, Hohai University, corresponding author)
Year2018
Volume15
Issue1
Pages146-146
Publication date2018-01-18
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph15010146
PMID29346305
OpenAlexW2789067871
LanguageEN
Citations received5
References cited31

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

Business · China · Environmental planning · Environmental protection · Environmental resource management · Geography · Hydropower · Index (typography · Political science · Sustainable development · Computer Science · Dam Engineering and Safety · Engineering · Environmental Science · Flood Risk Assessment and Management · Hydropower, Displacement, Environmental Impact

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Citations per year0.63
Citation span2018 - 2026 (9)
Highly citedNo

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