半挥发性有机物采样器测量结果不确定度分析.docx 立即下载
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半挥发性有机物采样器测量结果不确定度分析.docx

半挥发性有机物采样器测量结果不确定度分析.docx

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半挥发性有机物采样器测量结果不确定度分析
Title:AnalysisofUncertaintyinMeasurementsofSemivolatileOrganicCompoundsUsingaSampler
Introduction:
Semivolatileorganiccompounds(SVOCs)areaclassofairbornepollutantsthathavetheabilitytovaporizeatroomtemperatureandexertlong-lastingeffectsonenvironmentalandhumanhealth.AccuratemeasurementandquantificationofSVOCsareofutmostimportanceinunderstandingtheirsources,transport,andpotentialimpacts.However,themeasurementofSVOCsisoftenaccompaniedbyvarioussourcesofuncertainty,whichcanaffectthereliabilityandinterpretationoftheresults.ThispaperaimstoanalyzetheuncertaintiesassociatedwiththemeasurementofSVOCsusingasampler.
1.Background:
1.1SemivolatileOrganicCompounds:
SVOCsareadiversegroupofchemicalswithvaryingproperties,suchaspolycyclicaromatichydrocarbons(PAHs),phthalates,polychlorinatedbiphenyls(PCBs),andpesticides.Theyentertheatmospherethroughhumanactivities,suchasindustrialemissions,transportation,andresidentialuses.
1.2MeasurementofSVOCs:
ThemeasurementofSVOCsofteninvolvestheuseofasampler,whichcollectsairborneparticlesandvapor-phasepollutants.Thecollectedsamplesarethenanalyzedusingvariousanalyticaltechniques,suchasgaschromatography-massspectrometry(GC-MS).However,thisprocessissubjecttoseveralsourcesofuncertainty.
2.SourcesofUncertainty:
2.1SamplerPerformance:
Theperformanceofthesampleritselfcanintroduceuncertaintyinthemeasurements.Factorssuchassamplingratevariability,adsorptionefficiency,anddesorptionefficiencycanaffecttheaccuracyoftheresults.Calibratingandvalidatingthesampler'sperformanceiscrucialinreducingtheseuncertainties.
2.2SampleCollection:
ThecollectionofSVOCsamplesfromtheenvironmentmayalsointroduceuncertainties.Factorssuchasspatialandtemporalvariability,cross-contamination,andsamplelossduringtransportcancontributetomeasurementerrors.Proceduralcontrolsandappropriatecollectionprotocolsshouldbeimplementedtominimizetheseuncertainties.
2.3AnalyticalTechniques:
TheanalyticaltechniquesusedforSVOCmeasurementmayhaveinherentuncertainties.Errorscanarisefrominst
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