简介:Euphausiapacificisanimportantsourceofnaturalastaxanthin.StudieswerecarriedouttoassesstheextractabilityofastaxanthinfromE.pacificusingsubcritical1,1,1,2-tetrafluoroethane(R134a).Toexaminetheeffectsofmultipleprocessvariablesontheextractionyield,astaxanthinwasextractedundervariousconditionsofpressure(30-150bar),temperature(303-343K),time(10-50min),flowrate(2-10gmin-1),moisturecontent(5.5%-63.61%),andparticlesize(0.25-0.109mm).Theresultsshowedthattheextractionyieldincreasedwithtemperature,pressure,timeandflowrate,butdecreasedwithmoisturecontentandparticlesize.Amaximumyieldof87.74%wasobtainedunderconditionsof100bar,333K,and30minwithaflowrateof6gmin-1andamoisturecontentof5.5%.Thesubstantialastaxanthinyieldobtainedunderlow-pressureconditionsdemonstratesthatsubcriticalR134aisagoodalternativetoCO2forextractionofastaxanthinfromE.pacific.
简介:全国第二次土地调查于2007年下半年启动,2009年完成,安徽省于2008年4月率先启动了芜湖县的试点工作,并自行购买了ALOS1B1级数据制作DOM,套合上矢量的原始土地利用现状图,以便于外业调绘的全面开展。下面,是笔者对利用ALOS1B1级数据制作正射影像图以及外业调绘用图的方法进行了探讨,研究发现,此方法易于
简介:S变换,它是为它的本地人知道的一个时间频率代表光谱在信号处理的阶段性质,特别地联合小浪变换和短时间的Fourier变换(STFT)的元素。部分Fourier变换是为非静止的信号分析的一个工具。在这份报纸,我们定义一个信号的部分S变换(FRST)的概念,基于部分Fourier变换(FRFT)和S变换(圣)的想法,从时间频率领域扩大S变换到时间部分的频率领域获得反的变换,并且学习FRST数学性质。FRST,有FRFT和圣的优点,能提高ST灵活性处理信号。比作S变换,FRST能有效地改进信号时间频率分辨率能力。模拟结果证明建议方法是有效的。
简介:TheElNino-SouthernOscillation(ENSO)ismodulatedbymanyfactors;mostpreviousstudieshaveemphasizedtherolesofwindstressandheatfluxinthetropicalPacific.Freshwaterflux(FWF)isanotherenvironmentalforcingtotheocean;itseffectandtherelatedoceansalinityvariabilityintheENSOregionhavebeenofincreasedinterestrecently.Currently,accuratequantificationsoftheFWFrolesintheclimateremainchallenging;therelatedobservationsandcoupledocean-atmospheremodelinginvolvelargeelementsofuncertainty.Inthisstudy,weutilizedsatellite-baseddatatorepresentFWF-inducedfeedbackinthetropicalPacificclimatesystem;wethenincorporatedthesedataintoahybridcoupledocean-atmospheremodel(HCM)toquantifyitseffectsonENSO.AnewmechanismwasrevealedbywhichinterannualFWFforcingmodulatesENSOinasignificantway.Asadirectforcing,FWFexertsasignificantinfluenceontheoceanthroughseasurfacesalinity(SSS)andbuoyancyflux(QB)inthewestern-centraltropicalPacific.TheSSSperturbationsdirectlyinducedbyENSO-relatedinterannualFWFvariabilityaffectthestabilityandmixingintheupperocean.Atthesametime,theENSO-inducedFWFhasacompensatingeffectonheatflux,actingtoreduceinterannualQBvariabilityduringENSOcycles.TheseFWF-inducedprocessesintheoceantendtomodulatetheverticalmixingandentrainmentintheupperocean,enhancingcoolingduringLaNinaandenhancingwarmingduringElNino,respectively.TheinterannualFWFforcing-inducedpositivefeedbackactstoenhanceENSOamplitudeandlengthenitstimescalesinthetropicalPacificcoupledclimatesystem.
简介:Basedondatacollectedfromatemporalseismicnetwork,andinadditiontothedatafromsomenearbypermanentstations,weinvestigatethevelocitystructureandseismicityintheRongchanggasfield,wheresignificantinjection-inducedseismicityhasbeenidentified.First,weusereceiverfunctionsfromdistantearthquakestoinvertdetailed1-Dvelocitystructuresbeneathtypicalstations.Then,weusethedouble-differencehypocenterlocationmethodtore-locateearthquakesofthe2010ML5.1earthquakesequencethatoccurredintheregion.There-locatedhypocentersshowthatthe2010ML5.1earthquakesequencewasdistributedinasmallareasurroundingmajorinjectionwellsandclusteredmostlyalongpre-existingfaults.Majorearthquakesshowafocaldepthlessthan5kmwithadominantdepthof~2km,adepthofmajorreservoirsandinjectionwells.Wethusconcludethatthe2010ML5.1earthquakesequencemighthavebeeninducedbythedeepwellinjectionofunwantedwateratadepth~3kmintheRongchanggasfield.
简介:在ENVIEX软件的FeatureExtraction平台上,利用LandsatTM影像数据,采用面向对象方法对杭州湾南岸地区湿地景观进行遥感影像分类;通过与基于最大似然法、人工神经网络法、支持向量机法等传统像元方法的相应分类结果进行比较,系统分析了面向对象方法在中低分辨率遥感影像的湿地景观生态分类中的有效性。研究结果表明:①较之单一依据像元光谱值进行分类的传统方法,面向对象方法综合考虑了对象的光谱、空间、纹理、色彩等多种属性特征,因而对于类型复杂多样、分布界限模糊、光谱混淆与混合像元现象严重的沿海滩涂、湖泊、河流等湿地景观具有更好的鉴别能力,也因此获得更高的分类精度(研究区景观分类总精度为88.80%,Kappa系数为0.87651;②面向对象方法在分类中提取的是由同质性像元组成的“对象”,且在合理的影像分割下得到的对象破碎化程度较低,因而能在较大程度上减小分类结果中的“椒盐噪声”干扰;而基于像元方法提取的景观类型以离散像元形式组成,难以清晰表征景观的边界、形状等信息,所以分类结果中会有明显的噪声现象;③影像分割在运用面向对象方法进行遥感影像分类过程中具有重要影响,实验结果表明,60%的分割尺度和归并尺度组合较有利于中低分辨率影像的遥感分类;④面向对象分类过程中诸如影像分割精度的评价、最优分割尺度的选取、特征空间的优化等问题,则有待今后进一步探讨。