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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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Inexact credibility constrained programming for environmental system management
Yi Mei Zhang,Guohe Huang +1 more
TL;DR: An inexact credibility constrained programming (ICCP) to deal with multi-formats of uncertainties in parameters and variables for an agricultural water planning system and can provide stable intervals for the objective function and decision variables with different levels of risk when violating the constraints.
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Transfer of virtual water embodied in food: A new perspective.
TL;DR: A Virtual Water-Food Nexus Model is developed to quantify the inter-provincial transfer of water embodied in food and to identify the complicated interactions between different provinces, revealing that exploitation and competition dominate the ecological relationships between provinces.
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Kinetic and equilibrium studies on the adsorption of calcium lignosulfonate from aqueous solution by coal fly ash
TL;DR: In this paper, experiments were performed to determine the adsorption of calcium lignosulfonate (CLS) onto Shand and Boundary Dam (BD) coal fly ashes.
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Probabilistic Prediction for Monthly Streamflow through Coupling Stepwise Cluster Analysis and Quantile Regression Methods
TL;DR: Wang et al. as mentioned in this paper proposed a stepwise cluster forecasting (SCF) framework for probabilistic prediction for monthly streamflow through integrating stepwise clust analysis and quantile regression methods, which can capture discrete and nonlinear relationships between explanatory and response variables.
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A polynomial chaos ensemble hydrologic prediction system for efficient parameter inference and robust uncertainty assessment
TL;DR: In this paper, a polynomial chaos ensemble hydrologic prediction system (PCEHPS) is developed for an efficient and robust uncertainty assessment of model parameters and predictions, in which possibilistic reasoning is infused into probabilistic parameter inference with simultaneous consideration of randomness and fuzziness.