Sustainability Analysis and Environmental Decision-Making Using Simulation, Optimization, and Computational Analytics

• Andere auteurs: Yeomans, Julian Scott (Redacteur), Kozlova, Mariia (Redacteur)
• Formaat: Elektronisch Hoofdstuk
• Taal: Engels
• Gepubliceerd in: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Onderwerpen: Research & information: general; Mathematics & science; streamflow forecasting; C-vine copula; quantile regression; joint dependencies; water resource management; ecological relationship; factorial analysis; input-output analysis; optimal path; reduction; urban solid waste system; desalination; reverse osmosis; modelling; simulation; parameter estimation; seawater; boron; watershed management; nonpoint source pollution; point source pollution; water quality; pollutant loadings; South Texas; eco-efficiency; DEA; CO2 emissions; forecasting; ecological indicators; biomass gasification; machine learning; computer modeling; computer simulation; regression; model reduction; LASSO; classification; feature selection; financial market; investing; sustainability; renewable energy support; energy modeling; energy system design; generation profile; environmental footprint; renewable energy; electricity production; unlisted companies; Germany; feed-in tariff; biofuel policy; investment profitability analysis; the pay-off method; simulation decomposition; sourcing; operational flexibility; business aviation; turboprop; electric motor; specific power; Monte Carlo simulation; Iowa food-energy-water nexus; nitrogen export; system modeling; weather modeling; optimal allocation; interval; fuzzy; dynamic programming; water resources; n/a
• Online toegang: DOAB: download the publication; DOAB: description of the publication

Effective environmental decision-making is often challenging and complex, where final solutions frequently possess inherently subjective political and socio-economic components. Consequently, complex sustainability applications in the "real world" frequently employ computational decision-m...