京津冀地區(qū)pm2.5濃度的遙感反演方法研究

京津冀地區(qū)pm2.5濃度的遙感反演方法研究

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時(shí)間:2018-12-13

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1、市為高值城市。(4)考慮地形起伏對(duì)氣溶膠分布的影響,發(fā)現(xiàn)地形地貌對(duì)氣溶膠光學(xué)厚度的分布有很大的影響,且呈明顯負(fù)相關(guān)。地勢(shì)越高,該地區(qū)氣溶膠光學(xué)厚度值越低;地勢(shì)較為平坦的地區(qū)氣溶膠光學(xué)厚度值相對(duì)較高。關(guān)鍵詞:MODIS氣溶膠光學(xué)厚度PM2.5京津冀地區(qū)萬(wàn)方數(shù)據(jù)AbstractInthiseraoffasteconomicdevelopment,thecityscaleexpandsrapidly.Atthesametime,urbanairpollutionbecomesseriously,whichcausedbyvarioushumanfactors,such

2、asurbantrafficpollution,engineeringconstruction,industrialgases,naturalecologicaldestructionandSOon.Aatmosphericpollutionproblembringsunprecedentedchallengestotheurbanairquality.InmostareasinChina,thefineparticulatematterPM2.5hasbecometheprimarypollutant.Comprehensiveandeffectivemast

3、erofdistributionandchangingrulesofairpollutionisparticularlyimportanttourbanenvironmentalpreventionandtreatment.China’Sterritoryisvast,butthegeneralbusinessofenvironmentmonitoringreliesongroundroutinemonitoring.Thegroundmonitoringsitesaremainlydistributedintheregionofthelargemediumsi

4、zedcities.Airqualitymonitoringisstillatlowlevel.Comparedwiththegroundmonitoringstations,Satelliteremotesensingmonitoringhasthecharacteristicsoffast,macro,dynamicandeconomic.Ithasobviousadvantagesofspacecontinuityinthedynamicairpollutionmonitoring.Therefore,satelliteremotesensingisone

5、oftheimportanttechnicalmethodsinairpollutionmonitoring,forurbanandregionalenvironmentalairqualitymonitoringandcontr01.ThecorrelationbetweenthemassconcentrationofatmosphericPM2.5andtheMODISaerosolopticaldepthisdiscussed.Satelliteremotesensingestimationmodelisproposedtoderivetheannuala

6、ndseasonalPM2.5massconcentration.Meteorologicalfactorsareappliedtomodifythemodelandimprovetheaccuracyofthemodel.BasedontheMODISAODproductsandgroundPM2.5massconcentrationdata,itisanalyzedthatPM2.5massconcentrationchangesanddistributespatiallyinBeijing—Tianjin—Hebeiregion.Themainresear

7、chcontentsandresultsareasfollows:(1)AdoptingMODISAODdataandPM2.5massconcentrationdata,theregressionmodelisestablished.ItshowsthatthecorrelationbetweenAODandPM2.5valuecoefficientisnothigh,SOitCan’tdirectlybeusedtoestimatethesurfacequalityofPM2.5concen仃ations.Thenusemodelingdatatomakef

8、ittinganalys

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