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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.
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Grey fuzzy integer programming: An application to regional waste management planning under uncertainty
TL;DR: The modelling approach is applied to a hypothetical planning problem of waste management facility expansion/utilization planning within a regional solid waste (RSW) management system and results indicate that reasonable solutions were generated for both binary and continuous variables.
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Cadmium removal from simulated wastewater to biomass byproduct of Lentinus edodes
Guiqiu Chen,Guangming Zeng,Lin Tang,Chunyan Du,Xiao-Yun Jiang,Guohe Huang,Hong-Liang Liu,Guo-Li Shen +7 more
TL;DR: Fourier transform infrared spectrums and energy-dispersive X-ray microanalyzer were used to reveal ion-exchange mechanism between cadmium and the functional groups or participated inorganic metal ions during biosorption.
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Aerobic degradation of bisphenol A by Achromobacter xylosoxidans strain B-16 isolated from compost leachate of municipal solid waste.
Chang Zhang,Guangming Zeng,Li Yuan,Jian Yu,Jianbing Li,Jianbing Li,Guohe Huang,Guohe Huang,Beidou Xi,Hong-Liang Liu +9 more
TL;DR: A novel bacterium isolated from the compost leachate of the municipal solid waste (MSW) in a laboratory reactor was identified as a gram-negative bacterium that could grow on bisphenol A (BPA) as a sole carbon source under aerobic condition.
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Land allocation based on integrated GIS-optimization modeling at a watershed level
Xinhao Wang,Sheng Yu,Guohe Huang +2 more
TL;DR: A watershed optimization model that specifies the future amount of land for each land use type at a sub-area level is incorporated into a GIS-based spatial allocation model to provide specific location recommendations based on existing land use, slope, distance to surface water and conversion preference.
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Combining Simulation with Evolutionary Algorithms for Optimal Planning Under Uncertainty: An Application to Municipal Solid Waste Management Planning in the Reginonal Municipality of Hamilton-Wentworth
TL;DR: In this paper, an evolutionary algorithm is combined with simulation to determine solutions for the municipal solid waste management problem, which is applied to real case data taken from the Regional Municipality of Hamilton-Wentworth in the province of Ontario and compared to the outputs from an earlier study.