Yuefei Huang mostly deals with Fuzzy logic, Hydrology, Mathematical optimization, Water resources and Operations research. His Fuzzy logic research includes elements of Flow, Variety and Process, Operations management. His Hydrology research incorporates themes from Flow velocity, Evaporative cooler and Environmental protection.
His research integrates issues of Water quality management and Nonlinear programming, Linearization, Control theory, Nonlinear system in his study of Mathematical optimization. His Water resources research integrates issues from Natural resource, Land use, land-use change and forestry, Environmental resource management and Water supply. His Operations research research is multidisciplinary, incorporating perspectives in Agriculture, Water scarcity, Computational intelligence, Linkage and Stage.
His primary areas of investigation include Hydrology, Atmospheric sciences, Climate change, Evapotranspiration and Ecosystem. His work carried out in the field of Hydrology brings together such families of science as Arid and Land use. As a part of the same scientific family, Yuefei Huang mostly works in the field of Atmospheric sciences, focusing on Primary production and, on occasion, Terrestrial ecosystem.
He interconnects Growing season, Normalized Difference Vegetation Index, Phenology and Precipitation in the investigation of issues within Climate change. His Evapotranspiration study incorporates themes from Applied mathematics and Water-use efficiency. Ecosystem connects with themes related to Climatology in his study.
Yuefei Huang mainly focuses on Atmospheric sciences, Climate change, Precipitation, Primary production and Vegetation. His Evapotranspiration research extends to Atmospheric sciences, which is thematically connected. The Climate change study combines topics in areas such as Arid, Impervious surface, Land cover and Terrestrial ecosystem.
His Precipitation research is multidisciplinary, incorporating elements of Water-use efficiency, Irrigation, Vapour Pressure Deficit, Crop yield and Biomass. Primary production is a subfield of Ecosystem that Yuefei Huang studies. He combines subjects such as Water stress, Chlorophyll fluorescence, Temperate climate and Water content with his study of Vegetation.
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An integrated fuzzy-stochastic modeling approach for risk assessment of groundwater contamination.
Jianbing Li;Gordon H. Huang;Gordon H. Huang;Guangming Zeng;Imran Maqsood.
(2007)
A multistage fuzzy-stochastic programming model for supporting sustainable water-resources allocation and management
Y. P. Li;G. H. Huang;Y. F. Huang;H. D. Zhou.
(2009)
AN INTERVAL-PARAMETER FUZZY NONLINEAR OPTIMIZATION MODEL FOR STREAM WATER QUALITY MANAGEMENT UNDER UNCERTAINTY
Xiao-Sheng Qin;Xiao-Sheng Qin;Guo H. Huang;Guo H. Huang;Guang-Ming Zeng;A. Chakma.
European Journal of Operational Research (2007)
Partitioning evapotranspiration based on the concept of underlying water use efficiency
Sha Zhou;Bofu Yu;Yao Zhang;Yuefei Huang.
Water Resources Research (2016)
Short-term runoff prediction with GRU and LSTM networks without requiring time step optimization during sample generation
Shuai Gao;Yuefei Huang;Yuefei Huang;Shuo Zhang;Jingcheng Han.
Journal of Hydrology (2020)
Development of an artificial neural network model for predicting minimum miscibility pressure in CO2 flooding
Y.F. Huang;Y.F. Huang;G.H. Huang;G.H. Huang;M.Z. Dong;G.M. Feng;G.M. Feng.
(2003)
ITOM : an interval-parameter two-stage optimization model for stochastic planning of water resources systems
Imran Maqsood;Guohe Huang;Yuefei Huang;Bing Chen.
(2005)
Effects of vegetation stems on hydraulics of overland flow under varying water discharges.
Chunhong Zhao;Chunhong Zhao;Jian'en Gao;Yuefei Huang;Guangqian Wang.
Land Degradation & Development (2016)
Violation analysis for solid waste management systems: an interval fuzzy programming approach
Y.F. Huang;B.W. Baetz;B.W. Baetz;G.H. Huang;L. Liu;L. Liu.
(2002)
The effect of vapor pressure deficit on water use efficiency at the subdaily time scale
Sha Zhou;Bofu Yu;Yuefei Huang;Guangqian Wang.
Geophysical Research Letters (2014)
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