简介:本文是和的继续.本文的基础是笔者等的华北地区、华南地区和西北地区寒武纪和奥陶纪定量岩相古地理研究及编图的成果.定量,即每个古地理单元的划分都有确切的定量资料和定量图件为依据.在此基础上,结合其他地区的地质资料,全面分析,综合判断,编制出了全国范围的晚寒武世岩相古地理图并撰写出本文.因此,在本文中,华北、华南和西北地区的岩相古地理图及其文字论述是定量的和比较精细的,其他地区的岩相古地理图及其文字论述则是定性的和概略性的.在中国晚寒武世,中寒武世的"两槽和三台相间分布"的古地理格局依然存在.两槽即天山北山蒙辽吉槽地和昆仑秦岭槽地,三台即准噶尔蒙兴台地、塔里木柴达木华北台地和西藏华南台地.这5个古地理单元的范围与中寒武世的基本上相同,但他们的次级古地理单元的特征则与中寒武世的有所不同或大不相同.
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简介:Sandydesertificationislanddegradationcharacterizedbywinderosionmainlyresultedfromtheexcessivehumanactivitiesinarid,semiaridandpartofsub-humidregionsinnorthernChina.Theresearchonsandydesertificationhasexperiencedmorethan5decadesofarduouscourseofthestrugglealongwiththeestablishmentanddevelopmentofChina′sdesertscience.Researchesinthisfieldhavemadeagreatcontributiontothenationaleconomicconstruction,andenvironmentalprotection.Thispaperfocusesonpresentingthemajorprogressandachievementsinthesandydesertificationresearchduringthelast50years,includingthestagesofstudyonsandydesertification,backgroundenvironmentofsandydesertificationanditschanges,theconception,causes,process,monitoringandassessmentofsandydesertification,thevegetationsuccession,landscapeecology,plantphysiology,impactsonecosystem,high-effectiveuseofwaterandlandresourcesandsustainabledevelopmentinsandydesertifiedregions,sandydesertificationcontrolmodelsandtechniquesetc.
简介:ThePRCMinistryofScienceandTechnologyofficiallyapprovedtheimplementationoftheprojectasoneofNationalKeyScienceandTechnologyProjectsinNovember2001andentrustedtheChinaMeteorologicalAdministration(CMA)withtheleadership.Thenewsbriefingoftheprojectstaring-upwasheldceremoniouslyatCMAon29December2001.ProjectGoal:undertheconditionsofhigh-performancesupercomputersandhightemporalandspatialresolutionmeteorologicaldata,makinggooduseofbothinternationalanddomesticnewscientificachievements,todevelopournewgenerationnumericalweatherforecastingoperationsystemindependentlysotomeettheneedsofthedevelopmentofthecountryanditsmeteorologicalservice.
简介:AstochasticmodelfordailyprecipitationsimulationinChinawasdevelopedbasedontheframeworkofa′Richardson-type′weathergeneratorthatisanimportanttoolinstudyingimpactsofweather/climateonavarietyofsystemsincludingecosystemandriskassessment.ThepurposeofthisworkistodevelopaweathergeneratorforapplicationsinChina.Thefocusisonprecipitationsimulationsincedeterminationofotherweathervariablessuchastemperatureisdependentonprecipitationsimulation.AframeworkoffirstorderMarkovChainwithGammaDistributionfordailyprecipitationisadoptedinthiswork.Basedonthisframework,fourparametersofprecipitationsimulationforeachmonthat672stationsalloverChinaweredeterminedusingdailyprecipitationdatafrom1961to2000.Comparedwithpreviousworks,ourestimationfortheparameterswasmadeformorestationsandlongerobservations,whichmakestheweathergeneratormoreapplicableandreliable.Spatialdistributionsofthefourparametersareanalyzedinaregionalclimatecontext.Theseasonalvariationsoftheseparametersatfivestationsrepresentingregionaldifferencesarediscussed.Basedontheestimatedmonthlyparametersat672stations,dailyprecipitationsforanyperiodcanbesimulated.A30-yearsimulationwasmadeandcomparedwithobservationsduring1971-2000intermsofannualandmonthlystatistics.Theresultsaresatisfactory,whichdemonstratestheusefulnessoftheweathergenerator.