简介:Globalclimatechangeisoneofthemajorenvironmentalissuesfacedbyhumans.Existingevidenceindicatesthattheanthropogenicpushforariseintheatmosphericconcentrationofgreenhousegases(GHGs)(particularlyCO2)hasbeenaprimarycauseforglobalwarming.Asidefromeconomicandteclinologicalfactors,demographicdynamics(includinghumanconsumptioninabroaddemographicsense)hasbeenamajordriverforCO2emissions.Inthispaper,weperformedbothnonlinearregressionanalysis(basedontheSTIRPATmodel)andgraycorrelationdegreeanalysis(basedongraysystemtheory)ontheimpactofdemographicdynamicsonCO2emissions.OurresultsrevealthatCO2emissionsarepositivelycorrelatedwithpopulationsizeandGDPpercapitaandnegativelycorrelatedwithenergyintensity.WealsoshowthatgraycorrelationdegreewithCO2emissionsforfivevariables(i.e.,householdconsumption,urbanizationrate,householdsize,populationagingrate,populationsize)variessubstantially:householdconsumption>urbanizationrate>householdsize>populationagingrate>populationsize,withhouseholdconsumptionbeingthehighest,andpopulationsizethelowest.TomitigatetheimpactofdemographicdynamicsonCO2emissions,itisofvitalsignificancetonurturepeople’sawarenessofsustainableconsumptionandtoadheretocurrentpopulationcontrolpolicies.
简介:HouseholdconsumptionisoneoftheimportantfactorsthatinduceCO2emission.Basedoninput-outputmodel,thisarticlecalculatedtheintensityofCO2emissionofdifferentincomegroupsandsevenprovincesinChina,andthenestimatedtotalCO2emissioninducedbyurbanhouseholdconsumptionfrom1995to2004inChinabasedonstatisticdataofhouseholdlivingexpenditure.TheresultsshowthatCO2emissionpercapitainducedbyhouseholdconsumptionhadincreasedfrom1583to2498kgCO2during1995-2004.Theratioofconsumption-inducedCO2emissiontototalCO2emissionhadrisenfrom19%to30%inthepastdecade.IndirectCO2emissionaccountedforanimportantpartoftheconsumption-inducedemission,theratioofindirectemissiontoconsumption-inducedemissionhadrisenfrom69%to79%duringthesameperiod.Asignificantdifferenceinconsumption-inducedCO2emissionacrossdifferentincomegroupsanddifferentregionshasbeenobserved.CO2emissionpercapitaofhigherincomegroupsanddevelopedregionsincreasedfasterthanthatoflowerincomegroupsanddevelopingregions.ChanginglifestylehasdrivensignificantincreaseinCO2emission.Especially,increasesinprivatetransportexpenditure(forexample,vehicleexpenditure)andhousebuildingexpenditurearekeydrivingfactorsofgrowthinconsumption-inducedCO2emission.TherearebigdifferencesintheamountofCO2emissioninducedbychangeinlifestyleacrossdifferentincomegroupsandprovinces.Itcanbeexpectedthatlowerincomehouseholdsanddevelopingregionswillincreaseconsumptiontoimprovetheirlivingswithincomegrowthinthefuture,whichmayinducemuchmoreCO2emission.AreasonablelevelofCO2emissionisnecessarytosatisfyhumanneedsandtoimprovelivingstandard,butanoticeablefactisthatCO2emissionpercapitainducedbyhouseholdconsumptionindevelopedareasofChinahadreachedaquitehighlevel.Adjustmentinlifestyletowardsalow-carbonsocietyisinurgentneed.
简介:AftertheKyotoProtocolwasimplemented,carbonleakageexertsgreatinfluencesoninternationaltradeandeconomy.Tradecreatesamechanismforconsumerstoshiftenvironmentalpollutionassociatedwiththeirconsumptiontoothercountries.ChinahasovertakentheU.S.astheworld'sbiggestCO2emittersince2006.AsChina'ssecondlargesttradepartner,theU.S.hasthebiggesttradedeficitwithChinawhichhasarousedalotofdisputesbetweenthetwoparties.ButsofartheassessmentsofthetradeimbalanceofChina-U.S.havepaidlittleattentiontoenvironmentalimpactsassociatedwiththetradeimbalance.Appliedaninput-outputapproach,thearticleestimatestheamountofCO2embodiedinChina-U.S.tradeduring1997-2007.ItwasfoundthatthroughtradewithChina,theU.S.reduceditsCO2emissionscomparedwithanon-tradescenario.Duetothegreatercarbon-intensityandrelativelylessefficientproductionprocessesofChineseindustry,China-U.S.traderesultedinmoreCO2emissionsinChinaandtheworld.Intheend,thearticlegivessomesuggestions:itisequalandsustainablethattheinternationalaccountingmethodologiesshouldbeimproved,forCO2emissionsresponsibilitymustbedesignedtoaccountforthedynamicnatureofinternationaltrade.
简介:EstablishingpositiveandurgenttargetsforCO2reductionandemissionpeak,andpromotingenergyconservationandenergystructureadjustmentareamongthestrategiestoaddressglobalclimatechangeandCO2emissionsreduction.Theyarealsomeanstobreakthroughtheconstraintsofdomesticresourcesandenvironment,andinternalneeds,toachievesustainabledevelopment.Generallyspeaking,acountry’sCO2emissionpeakappearsafterachievingurbanizationandindustrialization.Bythen,connotativeeconomicgrowthwillappear,GDPwillgrowslowly,energyconsumptionelasticitywilldecrease,andenergyconsumptiongrowthwillslowdown-dependentmainlyonnewandrenewableenergies.Fossilfuelconsumptionwillnotincreasefurther.WhenCO2emissionreachesitspeak,theannualreductionrateofCO2intensityofGDPisgreaterthanGDPannualgrowthrate;andtheannualreductionrateofCO2intensityofenergyuseisgreaterthantheannualgrowthrateofenergyconsumption.Therefore,threeimportantapproachestopromotionofCO2emissionpeakcanbeconcluded:maintainingreasonablecontrolofGDPgrowth,strengtheningenergyconservationtosignificantlyreducetheGDPenergyintensity,andoptimizingtheenergymixtoreducetheCO2intensityofenergyuse.Byaround2030,Chinawillbasicallyhavecompleteditsrapiddevelopmentphaseofindustrializationandurbanization.ConnotativeeconomicgrowthwillappearwiththeaccelerationofindustrialstructureadjustmentThetargetofGDPenergyintensitywillstillbetomaintainanaverageannualreductionof3%orhigher.Theproportionofnon-fossilfuelswillreach20-25%,andtheaimwillbetomaintainanaverageannualgrowthrateof6-8%.Thetotalannualenergydemandgrowthof1.5%willbesatisfiedbythenewlyincreasedsupplyofnon-fossilfuels.TheannualdeclineinCO2intensityofGDPwillreach4.5%orhigher,whichiscompatiblewithanaverageannualGDPgrowth
简介:ThispaperproposestouseDEAmodelswithundesirableoutputstoconstructtheMalmquistindexthatcanbeusetoinvestigatethedynamicchangesofCO2emissionperformance.Withtheindex,theauthorshavemeasuredtheCO2emissionperformanceof28provincesandautonomousregionsinChinafrom1996to2007;withtheconvergencetheoryandpaneldataregressionmodel,theauthorsanalyzetheregionaldifferencesandtheinfluencingfactors.ItisfoundthattheperformanceofCO2emissionsinChinahasbeencontinuouslyimprovedmainlyduetothetechnologicalprogress,andtheaverageimprovementrateis3.25%,withacumulativeimprovementrateof40.86%.Inaddition,theCO2emissionperformancevariesacrossfourregions.Asawhole,theperformancescoreofeasternChinaisthehighest.ThenortheasternandcentralChinahasrelativelylowerperformancescores,andthewesternChinaisrelativelybackward.Theregionaldifferencesaredecreasing,andtheperformanceofCO2emissionsisconvergent.TheinfluenceofsomefactorsontheperformanceofCO2emissionsissignificant,suchasthelevelofeconomicdevelopment,thelevelofindustrialstructure,energyintensity,andownershipstructure.Theinfluenceofsomefactors,suchasopening-uptotheoutsideworld,ontheperformanceofCO2emissionsisnotsignificant..
简介:WhenaccountingtheCO2emissionsresponsibilityoftheelectricitysectorattheprovinciallevelinChina,itisofgreatsignificancetoconsiderthescopeofbothproducers’andtheconsumers’responsibility,sincethiswillpromotefairnessindefiningemissionresponsibilityandenhancecooperationinemissionreductionamongprovinces.Thispaperproposesanewmethodforcalculatingcarbonemissionsfromthepowersectorattheprovinciallevelbasedonthesharedresponsibilityprincipleandtakingintoaccountinterregionalpowerexchange.Thismethodcannotonlybeusedtoaccounttheemissionresponsibilitysharedbyboththeelectricityproductionsideandtheconsumptionside,butitisalsoapplicableforcalculatingthecorrespondingemissionresponsibilityundertakenbythoseprovinceswithnetelectricityoutflowandinflow.ThismethodhasbeenusedtoaccountforthecarbonemissionsresponsibilitiesofthepowersectorattheprovinciallevelinChinasince2011.Theempiricalresultsindicatethatcomparedwiththeproduction-basedaccountingmethod,thecarbonemissionsofmajorpower-generationprovincesinChinacalculatedbythesharedresponsibilityaccountingmethodarereducedbyatleast10%,butthoseofotherpower-consumptionprovincesareincreasedby20%ormore.Secondly,basedontheprincipleofsharedresponsibilityaccounting,InnerMongoliahasthehighestcarbonemissionsfromthepowersectorwhileHainanhasthelowest.Thirdly,fourprovinces,includingInnerMongolia,Shanxi,HubeiandAnhui,havethehighestcarbonemissionsfromnetelectricityoutflow-14milliontin2011,accountingfor74.42%oftotalcarbonemissionsfromnetelectricityoutflowinChina.Sixprovinces,includingHebei,Beijing,Guangdong,Liaoning,Shandong,andJiangsu,havethehighestcarbonemissionsfromnetelectricityinflow-11milliontin2011,accountingfor71.44%oftotalcarbonemissionsfromnetelectricityinflowinChina.Lastly,thispaperhasestimatedtheemissionfactorsofelectricity
简介:Thispaperquantifiesadecompositionanalysisofenergy-relatedCO2emissionsintheindustrialsectorsofShanghaiovertheperiod1994-2007.TheLog-MeanDivisiaIndex(LMDI)methodisappliedtothisstudyintermsofsixfactors:laborforce,labormobility,grosslaborproductivity,energyintensity,fuelmix,andemissioncoefficient.Inaddition,thedecouplingeffectbetweenindustrialeconomicgrowthandCO2emissionsisanalyzedtoevaluateCO2mitigationstrategiesforShanghai.TheresultsshowthatalllaborproductivityhasthelargestpositiveeffectonCO2emissionchangesintheindustrialsectors,whereaslabormobilityandenergyintensityarethemaincomponentsfordecreasingCO2emissions.OtherfactorshavedifferenteffectsonCO2mitigationindifferentsub-periods.AlthougharelativedecouplingofindustrialCO2emissionsfromtheeconomicgrowthinShanghaihasbeenfound,ShanghaishouldkeeppacewiththeindustrialCO2emissionsreductionbyimplementinglow-carbontechnology.Theseresultshaveimportantpolicyimplications:PlanCisthereasonablechoiceforShanghai.
简介:大量温室气体CO2的存在严重影响环境,而咪唑型离子液体具有独特的气体溶解性,在CO2捕集方面的应用较为广泛。基于定量结构-性质相关性(QSPR)原理提出了一种新的描述符——拓扑指数(TopologicalIndex,TI)描述符,研究了咪唑类离子液体捕集CO2的性能与其拓扑指数描述符之间的内在定量关系。应用遗传算法获得与捕集量最为密切相关的一组拓扑指数描述符,将其与温度和压力一起作为输入参数,分别采用多元非线性回归算法及支持向量机算法建立了咪唑类离子液体捕集CO2性能与其拓扑指数描述符之间的非线性模型。通过多元非线性回归算法得出训练集和测试集的决定系数分别为0.771和0.754,由支持向量机算法得出训练集和测试集的决定系数分别为0.990和0.981。对预测模型进行了评价验证及稳定性分析,结果表明,两种模型均具有良好的稳定性能和预测能力。根据拓扑指数描述符所建立的预测模型为工程应用提供了一种预测咪唑类离子液体捕集CO2性能的有效方法。
简介:基于2014年京津冀地区电力统计数据,引入多情景分析方法设定了不同的燃煤发电、燃气发电和可再生能源装机比例情景,测算了相应情景下的SO2、NOx和CO2排放量,分析了该地区电力行业装机比例与大气污染物和温室气体减排潜力的关系。结果表明,在发电总装机容量一定的情况下,对燃煤发电和燃气发电来说,随其装机比例增加,SO2、NOx和CO2排放量呈现逐渐增加的趋势。但相对于燃煤发电机组,燃气发电机组在一定程度上减少了SO2、NOx和CO2的排放量,减排效果显著。对可再生能源发电来说,随其装机比例增加,SO2、NOx和CO2的排放量呈现逐渐下降的趋势。
简介:通过涂覆热分解法制备了Ti/RuO2-ZrO2-SnO2、Ti/RuO2电极材料,采用X射线衍射(XRD)、扫描电镜(SEM)和循环伏安(CV)对电极材料进行表征,考察了电流密度、NaCl质量浓度、pH值及电极间距对废水COD降解率的影响。结果表明,Ti/RuO2-ZrO2-SnO2电极对COD具有更高的降解率,对其进行工艺优化。电极材料对废水降解的最佳工艺条件为电流密度40mA/cm^2,NaCl质量浓度4g/L,pH=5.0,电极间距10mm,COD的降解率达到90.5%。Ti/RuO2-ZrO2-SnO2电极中SnO2与RuO2生成固溶体,有利于增强涂层与基体之间的结合力,提高电极的稳定性;ZrO2起到细化晶粒的作用,致使电极表面粗糙度增加,增强了电极的电催化性能,且降解过程符合一级动力学模型。
简介:为了研究华北平原北部区域不同类型站点光化学前体物的共性与差异,在华北平原北部地区西南-东北主导风向上选取间距大于100km的3个站点,即中国气象局(CMA)、上甸子(SDZ)和固城(GCH)依次代表北京城区、华北本底地区和相对污染的农村地区,进行了近地面NOx和CO观测。结果表明,2008年6月至2009年5月,CMA、SDZ和GCH3站NOx体积分数的年均值依次为(42.4±21.8)×10-9、(13.8±5.5)×10-9和(26.9±15.2)×10-9,CO体积分数的年均值依次为(1.13±0.37)×10-6、(0.67±0.17)×10-6和(1.11±0.62)×10-6。3站的NOx月均值体积分数及CMA、GCH两站的CO月均值体积分数呈现出冬季高夏季低的特点,而SDZ站的CO6月均值体积分数(1.03×10-6)为一年中最高。SDZ站的NOx和CO体积分数在中午12时前后出现一个低谷,比CMA和GCH站的提前3~4h,此后呈上升趋势,体现了午后西南风输送对SDZ站的影响。尽管不同的源排放和大气输送影响导致3站的NOx和CO体积分数在日变化特征上有所差异,但3站的NOx和CO日平均体积分数之间存在极其显著的相关性,体现了区域性污染和气象条件共同影响的特征。
简介:为探讨纳米MnO2与常规MnO2粉末对细胞DNA损伤作用的差别,采用不同浓度的纳米MnO2与常规MnO2粉末(0、100、200、400μg·mL^-1)对Hela细胞进行染毒,应用单细胞凝胶电泳(彗星实验)检测Hela细胞的损伤效应.结果表明,与对照组相比,纳米MnO2和常规MnO2各染毒组细胞尾部DNA百分率(TailDNA%)和尾矩(TailMoment)均显著增加(p〈0.01);同一浓度下,纳米MnO2组细胞尾部DNA百分率和尾矩显著高于常规MnO2组(p〈0.01).以上结果表明,纳米MnO2和常规MnO2粉末均能导致Hela细胞DNA损伤,且纳米MnO2的损伤作用强于常规MnO2.