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

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...

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Bibliographic Details
Other Authors: Yeomans, Julian Scott (Editor), Kozlova, Mariia (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
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520 |a 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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653 |a joint dependencies 
653 |a water resource management 
653 |a ecological relationship 
653 |a factorial analysis 
653 |a input-output analysis 
653 |a optimal path 
653 |a reduction 
653 |a urban solid waste system 
653 |a desalination 
653 |a reverse osmosis 
653 |a modelling 
653 |a simulation 
653 |a parameter estimation 
653 |a seawater 
653 |a boron 
653 |a watershed management 
653 |a nonpoint source pollution 
653 |a point source pollution 
653 |a water quality 
653 |a pollutant loadings 
653 |a South Texas 
653 |a eco-efficiency 
653 |a DEA 
653 |a CO2 emissions 
653 |a forecasting 
653 |a ecological indicators 
653 |a biomass gasification 
653 |a machine learning 
653 |a computer modeling 
653 |a computer simulation 
653 |a regression 
653 |a model reduction 
653 |a LASSO 
653 |a classification 
653 |a feature selection 
653 |a financial market 
653 |a investing 
653 |a sustainability 
653 |a renewable energy support 
653 |a energy modeling 
653 |a energy system design 
653 |a generation profile 
653 |a environmental footprint 
653 |a renewable energy 
653 |a electricity production 
653 |a unlisted companies 
653 |a Germany 
653 |a feed-in tariff 
653 |a biofuel policy 
653 |a investment profitability analysis 
653 |a the pay-off method 
653 |a simulation decomposition 
653 |a sourcing 
653 |a operational flexibility 
653 |a business aviation 
653 |a turboprop 
653 |a electric motor 
653 |a specific power 
653 |a Monte Carlo simulation 
653 |a Iowa food-energy-water nexus 
653 |a nitrogen export 
653 |a system modeling 
653 |a weather modeling 
653 |a optimal allocation 
653 |a interval 
653 |a fuzzy 
653 |a dynamic programming 
653 |a water resources 
653 |a n/a 
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