Sustainability Analysis and Environmental Decision-Making Using Simulation, Optimization, and Computational Analytics
Material type:
TextLanguage: English Publication details: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022Description: 1 online resource (248 p.)Content type: - text
- computer
- online resource
- 9783036531984
- 9783036531991
- books978-3-0365-3198-4
- Mathematics & science
- Research & information: general
- biofuel policy
- biomass gasification
- boron
- business aviation
- C-vine copula
- classification
- CO2 emissions
- computer modeling
- computer simulation
- DEA
- desalination
- dynamic programming
- eco-efficiency
- ecological indicators
- ecological relationship
- electric motor
- electricity production
- energy modeling
- energy system design
- environmental footprint
- factorial analysis
- feature selection
- feed-in tariff
- financial market
- forecasting
- fuzzy
- generation profile
- Germany
- input-output analysis
- interval
- investing
- investment profitability analysis
- Iowa food-energy-water nexus
- joint dependencies
- LASSO
- machine learning
- model reduction
- modelling
- Monte Carlo simulation
- n/a
- nitrogen export
- nonpoint source pollution
- operational flexibility
- optimal allocation
- optimal path
- parameter estimation
- point source pollution
- pollutant loadings
- quantile regression
- reduction
- regression
- renewable energy
- renewable energy support
- reverse osmosis
- seawater
- simulation
- simulation decomposition
- sourcing
- South Texas
- specific power
- streamflow forecasting
- sustainability
- system modeling
- the pay-off method
- turboprop
- unlisted companies
- urban solid waste system
- water quality
- water resource management
- water resources
- watershed management
- weather modeling
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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-making approaches to construct solutions to problems containing numerous quantitative dimensions and considerable sources of uncertainty. This volume includes a number of such applied computational analytics papers that either create new decision-making methods or provide innovative implementations of existing methods for addressing a wide spectrum of sustainability applications, broadly defined. The disparate contributions all emphasize novel approaches of computational analytics as applied to environmental decision-making and sustainability analysis - be this on the side of optimization, simulation, modelling, computational solution procedures, visual analytics, and/or information technologies.
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