G
Guohe Huang
Researcher at Applied Science Private University
Publications - 1071
Citations - 30520
Guohe Huang is an academic researcher from Applied Science Private University. The author has contributed to research in topics: Stochastic programming & Fuzzy logic. The author has an hindex of 72, co-authored 979 publications receiving 25589 citations. Previous affiliations of Guohe Huang include Peking University & Beijing Normal University.
Papers
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Journal ArticleDOI
A Stochastic Water Quality Forecasting System for the Yiluo River
Hong Guo,Lirong Liu,Guohe Huang +2 more
TL;DR: Wang et al. as discussed by the authors developed a stochastic water quality forecasting system and applied it to the Yiluo River, a tributary of the Yellow River with extremely high sediment and suspended-solid loadings.
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Scenario analysis of a sustainable water-food nexus optimization with consideration of population-economy regulation in Beijing-Tianjin-Hebei region
TL;DR: A hybrid two-stage fuzzy programming with Laplace criterion (TSFL) is proposed into a WF optimization to handle hybrid indeterminacies and can facilitate to produce an optimized water-food plan to support the synergetic development of BTH region in a robust manner.
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Application of bayesian regularized BP neural network model for trend analysis, acidity and chemical composition of precipitation in North Carolina
TL;DR: In this paper, a Bayesian regularized back-propagation neural network (BRBPNN) was developed for trend analysis, acidity and chemical composition of precipitation in North Carolina using precipitation chemistry data in NADP.
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Biophysiological and factorial analyses in the treatment of rural domestic wastewater using multi-soil-layering systems.
TL;DR: The results of this study can help better understand the mechanisms of pollutant reduction within MSL systems from microbial insights, and will have important implications for developing appropriate strategies for operating MSL system with high efficiency and less risks.
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A two-stage fuzzy chance-constrained water management model.
TL;DR: An inexact two-stage fuzzy gradient chance-constrained programming (ITSFGP) method is developed and applied to the water resources management in the Heshui River Basin and can provide decision support for the local sustainable economic development and water resources allocation strategies under multiple uncertainties.