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-making appr...
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| Định dạng: | Online |
|---|---|
| Ngôn ngữ: | Tiếng Anh |
| Được phát hành: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Những chủ đề: | |
| Truy cập trực tuyến: | ONIX_20220321_9783036531991_52 |
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| _version_ | 1869529300213956608 |
|---|---|
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-79616 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-796162024-03-28T03:32:29Z Sustainability Analysis and Environmental Decision-Making Using Simulation, Optimization, and Computational Analytics Yeomans, Julian Scott Kozlova, Mariia 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 thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science 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. 2022-03-21T16:28:16Z 2022-03-21T16:28:16Z 2022 book ONIX_20220321_9783036531991_52 9783036531991 9783036531984 https://directory.doabooks.org/handle/20.500.12854/79616 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/5001 https://mdpi.com/books/pdfview/book/5001 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-3198-4 10.3390/books978-3-0365-3198-4 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036531991 9783036531984 248 Basel open access |
| spellingShingle | 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 thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science Sustainability Analysis and Environmental Decision-Making Using Simulation, Optimization, and Computational Analytics |
| title | Sustainability Analysis and Environmental Decision-Making Using Simulation, Optimization, and Computational Analytics |
| title_full | Sustainability Analysis and Environmental Decision-Making Using Simulation, Optimization, and Computational Analytics |
| title_fullStr | Sustainability Analysis and Environmental Decision-Making Using Simulation, Optimization, and Computational Analytics |
| title_full_unstemmed | Sustainability Analysis and Environmental Decision-Making Using Simulation, Optimization, and Computational Analytics |
| title_short | Sustainability Analysis and Environmental Decision-Making Using Simulation, Optimization, and Computational Analytics |
| title_sort | sustainability analysis and environmental decision making using simulation optimization and computational analytics |
| topic | 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 thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science |
| topic_facet | 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 thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science |
| url | ONIX_20220321_9783036531991_52 |