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.
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Modeling regional ecosystem development under uncertainty A case study for New Binhai District of Tianjin
TL;DR: In this article, an interval-fuzzy regional ecosystem management (IF-REM) model is developed based on an interval fuzzy linear programming (IFLP) technique, which can handle uncertainties expressed as fuzzy sets and discrete intervals.
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Stochastic optimization model for water allocation on a watershed scale considering wetland’s ecological water requirement
TL;DR: In this article, a stochastic-based water allocation optimization model on a watershed scale was proposed for supporting the water supply planning and wetland restoration activities of the Xiaoqing River watershed.
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A Two-Phase Optimization Model Based on Inexact Air Dispersion Simulation for Regional Air Quality Control
TL;DR: In this article, a two-phase optimization model for regional air pollution control is proposed, which is capable of identifying key factors and/or input conditions that may intensely affect system outputs and thus facilitating decision makers in adjusting current system status to benefit future management.
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Strategic agricultural land-use planning in response to water-supplier variation in a China’s rural region
TL;DR: In this article, a strategic agricultural land-use planning approach was proposed in response to water-supplier variation under parameter uncertainty, which was capable of examining the implication of various watersuppliers on agricultural land use planning problems, interpreting the response of land use schemes to water supply patterns with respect to a variety of systematic features, and handling uncertain parameters widely existing in many real-world practices.
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Risk analysis for water resources management under dual uncertainties through factorial analysis and fuzzy random value-at-risk
TL;DR: The results indicate that decision makers would pay more attention to the tradeoffs between the system benefit and feasibility degree, and the water allocation for agricultural section contributes most to control the financial loss of water.