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Analysis On The Characteristic Of Urban Heat Island In Hefei

Posted on:2008-07-11Degree:MasterType:Thesis
Country:ChinaCandidate:B DengFull Text:PDF
GTID:2121360215976289Subject:Science of meteorology
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The urban is a miniature that the human society develops, and the spot which thenature, the human matter and the energy gathers. The urbanization reflects a local'sdevelopment and the progress, and also symbolizes culture and the civilization of a time.Changes the warm urban system along with the whole world to be more complex, thecontrast question between urban and the suburb temperature urgently needs to solve.Studies the characteristic of urban heat island, is an important way which discoveres andsolves an urban-suburb temperature difference.This paper, using the scene observation experiment material in summer 2005 andthe Hefei urban district and the suburb station convention meteorological data, conductsthe generalized analysis research to the characteristic of urban heat island in Hefei, andusing the satellite inversion step-revising plan to underlying surface temperature by theNOAA/AVHRR satellite image material, and sloves temperature high resolution analysisquestion. The research has mainly done the below research work:1st, under the research that underlying surface landscape to the urban heat islandinfluence, the findings discovered that Hefei city have the urban heat island effect in fourseasons; Summer heat island intensity is obvious at the same time, Dong Pu reservoir,inHefei northwest corner, remarkably perform "cold lake effect", is largestly reach -2.7℃;During 20 years Hefei's thermoisopleth had the big change, corresponding with the urbandevelopment; Carries on the value simulation to the different landscape, obtain that thetime-sharing equation of the urban piece forest:2nd,according to Hefei and the suburban counties meteorological observatory,whichStands year to year the surface observation information, carries on the generalizedanalysis to the urban heat island change characteristic, the result indicated that the urbanheat island effect obviously enhanced after 1986 years, in 2003 daily average of he urbanheat island was biggest, achieves 1.08℃; In order to forecast the future changecharacteristic of daily average△Tu-r in Hefei, according to the multi- annual meansmaterial Linear return, will result in equation y=0.0087x+0.2558 (p<0.01) ; To the manyyears material research of heat island effect, indicates that there is existence obvious 12year cycles in Hefei annual mean temperature sequence.3rd, in the RS technology utilization, using image graphical representation , three channels Synthesis of the remote sensing picture and inversion of ground temperature insatellite. By the four seasons heat island change, the urabn heat island region is dividedseveral parts; when cloud or breeze, the urban heat source is scattered, the cold /heatsource mutually interlocks, and the effect of urban heat island is not obvious; from thesummer high temperature inversion ,the maximum temperature difference in the Hefeipower plant measuringpoint, is 16.52℃,the time-sharing inversion precision is not veryaccurate in the afternoon.4th,in the urbanized advancement research, the best-fit equation isy=3.248e-006x2.967 between the city population number and the city hot island intensity.the Hefei urban population grow still belongs to the small city growth category from thecity population number; between the built-up district area and the urban heat islandintensity change tendency, two facts becomes the correlational relations, The best-fitequation respectively is,y=15.141+16.185x, show that the urban development has thevery tremendous influence to the urban heat island.This paper analysis systematically the characteristic of urban heat island, proposedthe urban heat island effect research and the development direction in future; adoptmeasure and method ponder as well as forecasts and attenuates in the urban heat islandeffect phenomenon work in the practical application.
Keywords/Search Tags:Urban Heat Island, Satellite Image, Underlying Surface, Inversion of Ground Temperature
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