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Forecasting the Amount of Waste-Sewage Water Discharged into the Yangtze River Basin Based on the Optimal Fractional Order Grey Model

Bibliographic Data

ID15514370
AuthorsShuliang Li (0000-0002-2948-9124, Chongqing Technology and Business University, corresponding author), Wei Meng (0000-0002-8681-4923, Chongqing University), Yufeng Xie (0000-0002-3409-3239, Chongqing Key Laboratory of Electronic Commerce and Supply Chain System, Chongqing 400067, China)
Year2017
Volume15
Issue1
Pages20-20
Publication date2017-12-23
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/ijerph15010020
PMID29295517
OpenAlexW2777478363
LanguageEN
References cited6

With the rapid development of the Yangtze River economic belt, the amount of waste-sewage water discharged into the Yangtze River basin increases sharply year by year, which has impeded the sustainable development of the Yangtze River basin. The water security along the Yangtze River basin is very important for China, It is something aboutwater security of roughly one-third of China's population and the sustainable development of the 19 provinces, municipalities and autonomous regions among the Yangtze River basin. Therefore, a scientific prediction of the amount of waste-sewage water discharged into Yangtze River basin has a positive significance on sustainable development of industry belt along with Yangtze River basin. This paper builds the fractional DWSGM(1,1)(DWSGM(1,1) model is short for Discharge amount of Waste Sewage Grey Model for one order equation and one variable) model based on the fractional accumulating generation operator and fractional reducing operator, and calculates the optimal order of "r" by using particle swarm optimization(PSO)algorithm for solving the minimum average relative simulation error. Meanwhile, the simulation performance of DWSGM(1,1)model with the optimal fractional order is tested by comparing the simulation results of grey prediction models with different orders. Finally, the optimal fractional order DWSGM(1,1)grey model is applied to predict the amount of waste-sewage water discharged into the Yangtze River basin, and corresponding countermeasures and suggestions are put forward through analyzing and comparing the prediction results. This paper has positive significance on enriching the fractional order modeling method of the grey system

China · Drainage basin · Geography · Geotechnical engineering · Hydrology (agriculture · Mathematical optimization · Particle swarm optimization · Population · Sewage · Structural basin · Surface runoff · Sustainable development · Water resource management · Yangtze river · Energy Load and Power Forecasting · Environmental Science · Grey System Theory Applications · Mathematics · Ecology · Environmental Engineering · Geology

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