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...
Saved in:
Other Authors: | , |
---|---|
Format: | Electronic Book Chapter |
Language: | English |
Published: |
Basel
MDPI - Multidisciplinary Digital Publishing Institute
2022
|
Subjects: | |
Online Access: | DOAB: download the publication DOAB: description of the publication |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
MARC
LEADER | 00000naaaa2200000uu 4500 | ||
---|---|---|---|
001 | doab_20_500_12854_79616 | ||
005 | 20220321 | ||
003 | oapen | ||
006 | m o d | ||
007 | cr|mn|---annan | ||
008 | 20220321s2022 xx |||||o ||| 0|eng d | ||
020 | |a books978-3-0365-3198-4 | ||
020 | |a 9783036531991 | ||
020 | |a 9783036531984 | ||
040 | |a oapen |c oapen | ||
024 | 7 | |a 10.3390/books978-3-0365-3198-4 |c doi | |
041 | 0 | |a eng | |
042 | |a dc | ||
072 | 7 | |a GP |2 bicssc | |
072 | 7 | |a P |2 bicssc | |
100 | 1 | |a Yeomans, Julian Scott |4 edt | |
700 | 1 | |a Kozlova, Mariia |4 edt | |
700 | 1 | |a Yeomans, Julian Scott |4 oth | |
700 | 1 | |a Kozlova, Mariia |4 oth | |
245 | 1 | 0 | |a Sustainability Analysis and Environmental Decision-Making Using Simulation, Optimization, and Computational Analytics |
260 | |a Basel |b MDPI - Multidisciplinary Digital Publishing Institute |c 2022 | ||
300 | |a 1 electronic resource (248 p.) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
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. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
546 | |a English | ||
650 | 7 | |a Research & information: general |2 bicssc | |
650 | 7 | |a Mathematics & science |2 bicssc | |
653 | |a streamflow forecasting | ||
653 | |a C-vine copula | ||
653 | |a quantile regression | ||
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 | ||
856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/5001 |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/79616 |7 0 |z DOAB: description of the publication |