作者: Manfred Lenzen , Arne Geschke , Thomas Wiedmann , Joe Lane , Neal Anderson
DOI: 10.1016/J.SCITOTENV.2014.03.062
关键词:
摘要: Compiling, deploying and utilising large-scale databases that integrate environmental economic data have traditionally been labour- cost-intensive processes, hindered by the large amount of disparate misaligned must be collected harmonised. The Australian Industrial Ecology Virtual Laboratory (IELab) is a novel, collaborative approach to compiling environmentally extended multi-region input-output (MRIO) models. utility IELab product greatly enhanced avoiding need lock in an MRIO structure at time system developed. advances idea "mother-daughter" construction principle, whereby regionally sectorally very detailed "mother" table set up, from which "daughter" tables are derived suit specific research questions. By introducing third tier - "root classification" users able define their own mother-MRIO configuration, no additional cost terms handling. Customised mother-MRIOs can then built, maximise disaggregation aspects useful family second innovation provide highly automated platform cloud-computing environment, expediting workflows making these computational benefits accessible all users. Combining two realises many benefits. nature development project allows significant savings resources. Timely deployment possible coupling automation procedures with comprehensive input multiple teams. User-defined tables, coupled high performance computing, mean analysis will for great more applications than would otherwise possible. ensuring common analytical tools such as hybrid life-cycle assessment adopted, facilitate harmonisation fragmented, dispersed raw benefit interested parties.