Guohe Huang

TL;DR: In this paper, an interval-parameter two-stage stochastic mixed integer programming (ITMILP) technique is developed for waste management under uncertainty, which can directly handle uncertainties expressed not only as probability density functions but also as discrete intervals.

TL;DR: Wang et al. as discussed by the authors proposed a coupled GMM-copula method for the risk analysis for the Yichang station on the main stream of the Yangtze River, China.

TL;DR: Findings can help reveal the interactive complexity among triclosan and multiple environmental stressors and be suggested that multiple environmentalstressors should be considered during ecological risk assessment and management of emerging pollutants.

TL;DR: Results indicate that the total economic and environmental cost of the entire agriculture-water system can be limited within an interval value for the optimal land retirement schemes.

TL;DR: In this article, an inexact mixed-integer fractional energy system planning (IMIF-EP) model is developed for supporting sustainable energy system management under uncertainty, which not only handles imprecise uncertainties and dynamic features associated with power generation expansion planning, but also optimizes the system efficiency represented as output/input ratios.