[HTML][HTML] Sustainability through Biomimicry: A Comprehensive Review of Bionic Design Applications
M Jiang, W Deng, H Lin - Biomimetics, 2024 - mdpi.com
The research objective of this paper is to examine the role of bionic design in advancing
sustainable development within industrial design by outlining its theoretical framework; …
sustainable development within industrial design by outlining its theoretical framework; …
Energy-water-carbon nexus system planning: A case study of Yangtze River Delta urban agglomeration, China
MS Liang, GH Huang, JP Chen, YP Li - Applied Energy, 2022 - Elsevier
In this study, a chance-constrained fractional programming model is developed for energy-
water-carbon nexus systems in Yangtze River Delta urban agglomeration, China. The …
water-carbon nexus systems in Yangtze River Delta urban agglomeration, China. The …
[HTML][HTML] Research on the optimal allocation of agricultural water and soil resources in the Heihe River Basin based on SWAT and intelligent optimization
Z Zhang, Q Wang, Q Guan, X Xiao, J Mi, S Lv - Agricultural Water …, 2023 - Elsevier
In the context of global climate change, changes in precipitation and temperature conditions,
especially the increasing frequency of extreme climate events, have a severe impact on …
especially the increasing frequency of extreme climate events, have a severe impact on …
[PDF][PDF] Mathematical modeling for identifying cost-effective policy of municipal solid waste management under uncertainty
YP Li, GH Huang, L Cui, J Liu - J. Environ. Inform, 2019 - academia.edu
In municipal solid waste (MSW) management, many impact factors, such as waste
generation rate, treatment capacity, diversion goal, and disposal cost appear uncertain …
generation rate, treatment capacity, diversion goal, and disposal cost appear uncertain …
Identification of watershed priority management areas under water quality constraints: a simulation-optimization approach with ideal load reduction
Targeting nonpoint source (NPS) pollution hot spots is of vital importance for placement of
best management practices (BMPs). Although physically-based watershed models have …
best management practices (BMPs). Although physically-based watershed models have …
Time Variant Interval Linear Programming for Environmental Management Systems.
Z Xiao, JY Du, Y Guo, X Li… - Journal of Environmental …, 2022 - search.ebscohost.com
Optimization technology is widely applied to maximize economic profit under ecology
constrains in environmental management systems. To tackle the inherent uncertainties …
constrains in environmental management systems. To tackle the inherent uncertainties …
Integrated inexact energy systems planning under climate change: A case study of Yukon Territory, Canada
This study developed an inexact optimization modelling approach for supporting regional
energy systems decision-making and greenhouse gas emission mitigation under …
energy systems decision-making and greenhouse gas emission mitigation under …
Evolution of virtual water metabolic network in developing regions: A case study of Guangdong province
Rapid urbanization has challenged the utilization and the circulation of water, especially in
rapidly developing regions. It is necessary to disaggregate virtual water metabolic networks …
rapidly developing regions. It is necessary to disaggregate virtual water metabolic networks …
A distributed interval nonlinear multiobjective programming approach for optimal irrigation water management in an arid area
Considering the uncertainties in agricultural system and spatiotemporal variability in
evapotranspiration and precipitation, a distributed interval nonlinear multiobjective …
evapotranspiration and precipitation, a distributed interval nonlinear multiobjective …
Inexact copula-based stochastic programming method for water resources management under multiple uncertainties
Extensive uncertainties exist in many resources and environmental management problems,
which can be interrelated and thus amplify the complexity and nonlinearity of study systems …
which can be interrelated and thus amplify the complexity and nonlinearity of study systems …