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pubmed-article:19548021rdf:typepubmed:Citationlld:pubmed
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pubmed-article:19548021pubmed:dateCreated2009-7-29lld:pubmed
pubmed-article:19548021pubmed:abstractTextEnvironmental integrated assessments are often carried out via the aggregation of a set of environmental indicators. Aggregated indices derived from the same data set can differ substantially depending upon how the indicators are weighted and aggregated, which is often a subjective matter. This article presents a method of generating aggregated environmental indices in an objective manner via Monte Carlo simulation. Rankings derived from the aggregated indices within and between three Monte Carlo simulations were used to evaluate the overall environmental condition of the study area. Other insights, such as the distribution of good or bad values of indicators at a watershed and/or a subregion, were observed in the study.lld:pubmed
pubmed-article:19548021pubmed:languageenglld:pubmed
pubmed-article:19548021pubmed:journalhttp://linkedlifedata.com/r...lld:pubmed
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pubmed-article:19548021pubmed:statusMEDLINElld:pubmed
pubmed-article:19548021pubmed:monthAuglld:pubmed
pubmed-article:19548021pubmed:issn1432-1009lld:pubmed
pubmed-article:19548021pubmed:authorpubmed-author:O'NeillRobert...lld:pubmed
pubmed-article:19548021pubmed:authorpubmed-author:TranLiem TLTlld:pubmed
pubmed-article:19548021pubmed:authorpubmed-author:SmithElizabet...lld:pubmed
pubmed-article:19548021pubmed:issnTypeElectroniclld:pubmed
pubmed-article:19548021pubmed:volume44lld:pubmed
pubmed-article:19548021pubmed:ownerNLMlld:pubmed
pubmed-article:19548021pubmed:authorsCompleteYlld:pubmed
pubmed-article:19548021pubmed:pagination387-93lld:pubmed
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pubmed-article:19548021pubmed:meshHeadingpubmed-meshheading:19548021...lld:pubmed
pubmed-article:19548021pubmed:year2009lld:pubmed
pubmed-article:19548021pubmed:articleTitleEnvironmental integrated assessment via Monte Carlo simulation with a case study of the Mid-Atlantic region, USA.lld:pubmed
pubmed-article:19548021pubmed:affiliationDepartment of Geography, University of Tennessee, Knoxville, TN 37996-0925, USA. ltran1@utk.edulld:pubmed
pubmed-article:19548021pubmed:publicationTypeJournal Articlelld:pubmed
pubmed-article:19548021pubmed:publicationTypeResearch Support, U.S. Gov't, Non-P.H.S.lld:pubmed