基于STIRPAT模型的煤炭资源富集区碳排放影响因素分析-豆柴文库

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基于STIRPAT模型的煤炭资源富集区碳排放影响因素分析
Title:AnalysisofFactorsInfluencingCarbonEmissionsinCoalResourceEnrichmentAreasbasedontheSTIRPATModel
Abstract:
Withthegrowingconcernsaboutglobalclimatechange,understandingthefactorsthatcontributetocarbonemissionsincoalresourceenrichmentareasiscrucialforsustainabledevelopment.TheSTIRPAT(StochasticImpactsbyRegressiononPopulation,Affluence,andTechnology)modelhasemergedasausefultoolforanalyzingthedriversofcarbonemissions.ThispaperaimstoanalyzethefactorsinfluencingcarbonemissionsincoalresourceenrichmentareasusingtheSTIRPATmodel.Thefindingswillcontributetoformulatingeffectivestrategiesformitigatingcarbonemissionsintheseregions.
1.Introduction:
Coalplaysasignificantroleinenergyproduction,particularlyinregionswithabundantcoalresources.However,coalextraction,transportation,andutilizationprocessesresultinsubstantialcarbonemissions,contributingtoglobalwarmingandclimatechange.Thus,itbecomesimperativetoidentifythemaindriversbehindtheseemissionsanddevelopeffectivemeasurestomitigatetheirimpacts.UsingtheSTIRPATmodel,thisstudyseekstoanalyzethefactorsthatinfluencecarbonemissionsincoalresourceenrichmentareas.
2.Methodology:
TheSTIRPATmodelcombinessociodemographicandeconomicfactorswithtechnologicaladvancementstoexplainenvironmentalimpacts,includingcarbonemissions.TheequationdevelopedusingtheSTIRPATmodelis:
Emissions=Population*Affluence*Technology
2.1Population:
Thepopulationfactorconsiderstheimpactofgrowthratesanddemographicchangesoncarbonemissions.Rapidpopulationgrowthleadstoincreaseddemandforcoal-basedenergy,therebycontributingtohigheremissions.
2.2Affluence:
Affluenceisameasureofeconomicdevelopmentandpercapitaincome.Higherlevelsofaffluenceresultingreaterenergyconsumption,predominantlythroughindustrialprocessesandhouseholdactivities.Consequently,increasedaffluencetendstoamplifycarbonemissions.
2.3Technology:
Thetechnologicalfactorincorporatesadvancementsinenergy-efficienttechnologies,renewableenergysources,andcarboncaptureandstoragetechnologies.Improvedt