雄安新区地表温度与景观格局时空演变关联分析
II
北华航天工业学院硕士学位论文
Abstract
Againstthebackgroundofglobaleconomicdevelopmentandindustrialization
advancement,theurbanizationprocesshasacceleratedsignificantly,triggeringaseriesof
environmentalproblemssuchasrapidurbanpopulationgrowthaswellaslandresource
tensionandurbanheatislandeffect.ThispaperfocusesonXionganNewArea,wheresurface
temperature(LST)inversionandlandscapetypeclassificationareperformedwithLandsat8
OLI_TIRSremotesensingdata.Basedontheprinciplesoflandscapeecology,theoptimal
spatialscaleisdetermined,andgeographicallyweightedregression(GWR)modeland
bivariatespatialautocorrelationanalysisareconstructedtocorrelatethelandscapepatternand
thermalenvironmentfromthelandscapeandtypelevelbasedontheoptimalspatialscale
from2014-2022,andthemainresearchresultsareasfollows:
(1)TheXionganNewAreaisdominatedbythemedium-temperaturearea,withthe
high-temperatureareashowingadecreasingandthenincreasingtrend,andthe
low-temperatureareagraduallydecreasinginsize.XiongxianCountyranksfirstintheorder
ofthehighesttemperature,whichiscloselyrelatedtoitshighdegreeofurbanizationand
large-scaleconstruction,andAnxinCountyrankslowestintheorderofthelowest
temperature,becauseBaiyangdiancoversmostofthearea,whichmakestheoverall
temperaturerelativelylow.
(2)Bycomprehensivelyanalyzingthelandscapepatternindicesatdifferentspatialscales,
theoptimalspatialgranularitywasfinallydeterminedtobe120m,andtheoptimalmoving
windowwas840m.Basedontheanalysisoftheoptimalscales,theindicesoflandscape
diversityandevennesswerestabilizedatahighlevelofabout1.5and1.8,whichreflected
thatthedecreaseinspeciesrichnesswasnotobviousandthedistri