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The Multi-time Scale Analysis Of Climate Variation In Pan Zhihua During 42 Years

Posted on:2009-11-26Degree:MasterType:Thesis
Country:ChinaCandidate:J Y WanFull Text:PDF
GTID:2120360242485291Subject:Human Geography
Abstract/Summary:PDF Full Text Request
Based on long series precipitation and temperature data of Pan zhihua City during 1965-2006, wavelet analysis is used to study and predict the precipitation and annual change of temperatures. The results indicate that as below:There are 2.5a and 10.5a quasi-prime period in the study region's precipitat- ion series in spring , with the maximum oscillation power during 2.5 a quasi-prime period; 2a,5a,13.5a quasi-prime period in summer, with the maximum oscillation power during 2a quasi-prime period; 2.7a,3.5a,8a and 28.5a quasi-prime period in autumn, with the maximum oscillation power during 2.7a quasi-prime period; 2.9 a ,3.7a,4.5a and 21.5a quasi-prime period in autumn, with the maximum oscillation power during 2.7a quasi-prime period. While among the 3a,8.1a,12a and 36a quasi- prime period, 3a quasi-prime period has a particularly maximum oscillation power. The precipitation quasi-prime periods in four seasons focus on a shorter time scale, the maximum oscillation powers mainly focus on the high frequency oscillation.There is a maximum oscillation power during 37.5a quasi-prime period in 12.8a and 37.5a quasi-prime period in the study region's temperature series in spring; a particularly maximum oscillation power during 33.5a quasi-prime period in 5.5a,12.5a and 33.5a quasi-prime period in summer; a particularly maximum oscillation power during 36.5a quasi-prime period in 7.5a, 12.5a and 36.5a quasi- prime period; a particularly maximum oscillation power during 37.2a quasi-prime period in 12.5a and 37.2a quasi-prime period. The maximum temperature oscillation powers in four seasons mainly focus on the low frequency oscillation.There is a trend of precipitation series in the study region: less-precipitation period during 2006~2013, more-precipitation period during 2013~2016; There is a trend of temperature series in the study region: colder period during 2006~2009, warmer period during 2009~2016. There is a timeliness of quasi-prime period, which means only in some specific time.
Keywords/Search Tags:climate variation, wavelet analysis, period, Pan zhihua
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