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简介：Climatechangeandurbanizationissuesarethetwokeyfactorsthatmakehumansliabletobeaffectedbydisasters,whichareoverlappedinurbanagglomeration.ThefivebigurbanagglomerationsofChinawithstrongeconomicpoweraretheimportantenginesfornationaleconomicandsocialdevelopment.However,beinginthesea-landmutualinteractionbeltswithavasthazard-bearingbody,theyareaffectedbysea-landcompounddisasters,andareliabletosufferheavydisasterlosseswithclimatechange.Itissuggestedthatgovernmentdepartmentsconcernedshouldfullyrecognizetheimpactofclimatechangeoncoastalurbanagglomerations,proposestrategiesassoonaspossible,andintegratetheimpactofclimatechangeandadaptationcountermeasuresintothevariouskindsofsocial-economicdevelopmentplansforcoastalurbanregions.

简介：PopularregionalinequalityindexessuchasvariationcoefficientandGinicoefficientcanonlyrevealoverallinequality,andhavelimitedabilityinrevealingspatialdependenceorspatialagglomeration.Recentlysomemethodsofexploratoryspatialdataanalysissuchasspatialautocorrelationhaveprovidedeffectivetoolstoanalyzespatialagglomerationandcluster,whichcanrevealthepatternofregionalinequality.ThisarticleattemptstousespatialautocorrelationatcountyleveltogetrefinedspatialpatternofregionaldisparityinChinesenortheasteconomicregionover2000-2006(2001absent).Theresultindicatesthatthebasictrendofregionaleconomyisanincreasingconcentrationofgrowthamongcountiesinnortheasteconomicregion,andtherearetwogeographicalclustersofpoorercountiesincludingthecountiesinwesternLiaoningProvinceandadjacentcountiesinInnerMongolia,poorercountiesofHeihe,QiqiharandSuihuainHeilongjiangProvince.Thisarticlealsorevealsthatwecanusethemethodsofexploratoryspatialdataanalysisasthesupplementaryanalysismethodsinregionaleconomicanalysis.

简介：Climatechangeisexpectedtobeamajordrivingforceoflandscapeinthecomingdecades.Itwillhaveamultitudeofpotentialimpactsthatvaryinintensityandeffectaccordingtoregionandsector.Inthecontextofglobalwarming,theclimateofChinahaschangedsignificantlyintherecent100years.ThereasonforclimatechangeinChinaismainlyduetoirrationallandusecausedbyhumanactivities,whichchieflyresultsintherapidindustrializationandurbanizationprocess.Basedonanassessmentmodel,thisresearchrepresentsapictureoftheimpactsofclimatechangeinsixdistrictsofHangzhouregion.Theaimofthispaperistoconclude,ontheonehand,someofHangzhousensitivitiesinrelationtotheprimaryeffectsofclimatechange.Ontheotherhand,areflectionismadeonamethodologytoformulatepreconditionsonascientificbasisforfurtherresearchbydesignofintegratedadaptationoptionsforthefuturespatialdevelopmentsinfunctiontoupgradeHangzhouresilienceinrelationtoclimatechangechallenges.

简介：Theecologicalcarryingcapacity,animportantindica-tortoevaluatethesustainabledevelopmentoftheecosystem,meansthepotentialabilityofthenaturalecosystemtocarryso-cioeconomicdevelopmentwhiletheecosystemishealthy.Itislimitedbythecarryingcapacityofnaturalresourcesandenviron-mentandtheelasticityoftheecosystem.Itwillbegreatlysignifi-canttostudytheecologicalcarryingcapacityofHainanProvince,thefirstecologicalprovinceadmittedbytheStateEnvironmentalProtectionAdministrationinChina.Notonlyisthenaturaleco-systemreflected,butalsotheeffectsofhumanactivitiesareem-phasizedbyintegratingtheecosystemhealthanalysisintotheecologicalcarryingcapacityresearch.Theresearchresults,usingtheFactorAnalysistoolsofsoftwareSPSS,indicatethattheeco-logicalcarryingcapacityofHainanProvincefluctuatedobviouslyfrom1996to2005.TheleveloftheecologicalcarryingcapacityofHainanProvincewasrelativelyhighin1996,andreachedintotroughfrom1997to1999.Ithassteadilyascendedtobeabovethemiddlelevelsincethe21stcentury.Theresultsalsoshowthatpolicyfactors,especiallytheimplementationofthe'EcologicalProvince'strategy,wereimportantdrivingforcestoinfluencetheecologicalcarryingcapacity.Withthepopulationrapidlyincreas-ing,thelandandwaterresourcespercapitahavedecreasedquickly.Theamountoftheecologicalcarryingcapacitywaspro-motedremarkablybysocioeconomicdevelopmentespeciallyeconomicgrowthandtechnologyapplications.Allofthesewillprovideusefulsuggestionstoestablishandenactregionaldevel-opmentpolicies,especiallyforprotectingandreconstructingtheecologyandenvironmentofHainanProvince.

简介：ThemineralresourcesexploitationstageandtheeconomicgrowthratearevariousindifferentregionsofXinjiangAutonomousregion.Usingthemethodoflocationquotient,thispaperidentifiesandclassifiestheintensiveregionsofthreetypesofmineralresources,knownascoal,oilandnaturalgas,respectively.Theintensiveregionsofeconomicgrowthwerealsoidentified,accordingtotherateofpercapitaGDPgrowthatprefecture,autonomousprefectureandcity.Therelationshipsbetweendifferentmineralresourcesandeconomicgrowtharedifferent,forexample,therelationshipbetweeneconomicgrowthandcoalresourceispositive,whiletherelationshipbetweeneconomicgrowthandoilresource,ornaturalgasresourceisnegative.ThisstudyempiricallyexaminestheeffectsofnaturalresourcesoneconomicgrowthofXinjiang.Theresultsshowthatwhilstnaturalresourceshaveapositiveimpactongrowth,andcanmakeanegativeimpactongrowththroughthetransmissionchannels,suchasinvestment,manufacture,humancapital,andscientificandtechnologicinnovation.Moreover,itstudiesthetransmissionchannels,thatis,theeffectofnaturalresourcesontheotherexplanatoryvariables,andcalculatestheindirecteffectofnaturalresourcesongrowthforeachtransmissionchannel,andcomprehensiveeffectsofnaturalresourcesongrowth.ThecalculatedresultofcomprehensiveeffectsindicatesthatthepositivedirecteffectsofnaturalresourcesongrowthareshowntooutweighthenegativeindirecteffectofXinjiangautonomousregion.

简介：Theprotectionofdrinkingwatersourcesisvitaltourbandevelopmentandpublichealth.Inthisstudy,thecurrentsituationofthemandatoryprotectionareafordrinkingwatersourceinthePearlRiverDeltaregionwasinvestigatedusingamethodcombiningGoogleEarthwiththefieldsurvey.Thegapsbetweenmanagementpracticesandlegislationrequirementswereanalyzed.Finally,severalcountermeasuresforwaterresourceprotectionwereproposedasfollows:topromotedelineationinamorescientificway,tosafeguardthesanctityofthelaw,tomakebetterplanonwatersaving,andtoencouragepublicparticipationinsupervisionandmanagement.

简介：Themainobjectiveofthisstudyistosimulatethepotentialvegetationtypesonthebasisofenvironmentalparameters.ThepapertookBarkamCountyinamountainousregionoftheEasternTibetanPlateauasthestudyarea.Thevegetationdistributionwasmappedin1994and2007basedonTMremotesensingimagesbyobject-orientedinterpretationmethod.Weoverlaidthetwomapstofindoutthevegetationpatcheswhichhavenotchanged,andtookthemasstabletypes.Fiftypercentofthestablepatcheswererandomlysampledtooperatethelogisticregressionwithrelatedenvironmentalparameters;otherswereusedastestdataofsimulatedresults.Sevenenvironmentalparametersweremapped,includingelevation,slope,aspect,surfacecurvature,solarradiation,temperatureandprecipitation,basedonDEMdataandmeteorologicalsitedatabyGIStechnology.Therelationshipbetweenthespatialdistributionofvegetationandenvironmentalvariableswerequantifiedbylogisticregression.Thedistributionprobabilitiesofeachvegetationtypewerecalculated.Finally,thespatialdistributionofpotentialvegetationwassimulated.Thisresearchcanprovideascientificbasisforvegetationrestorationandecologicalconstructioninthisarea.

简介：Centralvillageselectionisthepriorityofsmalltownconstruction.Dependingonthedevelopmentpotentialanalysis,classificationanalysis,andquantitativeandqualitativeanalysis,thisarticlesystematicallyproposesthespecificmethodsofcentralvillageselectionandalsoconstructstheindicatorsystemusedincentralvillageselectioninsmalltownsofwesternunderdevelopedregioninChina.ThearticlealsoputsforwardideasandmethodsforselectionofcentralvillageinthewesternunderdevelopedregionthroughanempiricalresearchonLidianTown,JingningCounty,GansuProvince.Inthefinalpart,suggestionsandrecommendationsonhowtodevelopcentralvillageforLidianTownaremade.