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The Analysis Of Temporal And Spatial Variation Of Climate In Qinghai Province From1960to2010

Posted on:2013-07-26Degree:MasterType:Thesis
Country:ChinaCandidate:S R GuoFull Text:PDF
GTID:2230330392951358Subject:Physical geography
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Based on Chinese meteorological science data sharing network provides meteorological data of Qinghai province, we analysis the time variation and spatial variation of temperature, precipitation, sunshine duration and wind velocity with each passing month and year of Qinghai29meteorological sites nearly50years. In the time change analysis, we analysis the meteorological element of inter-annual variability, inter-decadal variability and mutation analysis In the spatial and temporal variation analysis, we analysis the meteorological element of inter-annual variability, season variability. Comprehensive time and space in two changes, we draw conclusions about climate change trend overall in Qinghai province nearly50a. The conclusions are as follows:1. The interannual variability, Interdecadal change and the four seasons change of meteorological elements:Nearly50years, the temperature is rising the tendency of the linear regression rate is0.0354℃/10a; the trend of rainfall increases gradually, the tendency of the linear regression rate of0.522h/10a; sunshine duration is not obvious to decline, the tendency of the linear regression rate of0.522h/10a. The decadal variability of the temperature and rainfall are on the rise, the fluctuations of the rainfall is large, the interdecadal change of sunshine duration and wind velocity decline significantly. Nearly50years, the four seasons change of temperature is on the rise, especially the summer temperatures rise significantly, autumn and winter temperature rise is weak; the four seasons change of rainfall in autumn is decline, but other three reasons are on the rise; the four seasons change of sunshine duration is not obvious to decline, especially in the spring, the trend is the least obvious; the four seasons change of wind speed also presents the trend that continued to decline.2. The spatial distribution of meteorological elements:Overall, annual temperature distribution is an increasing trend from south to north, whole region the temperatures showed rising trend, the maximum average annual temperature8.12℃in public, the minimum value-5.29℃in Wudaoliang, the most obvious warming trend is the Mangya and Xiaozaohuo, apparent downward trend is Xining, the annual precipitation showed an increasing trend from northwest to southeast, whole region the precipitation showed growing trend, the highest annual precipitation745.27mm in Jiuzhi, minimum value16.15mm in Lenghu, most obvious precipitation increasing trend in Delingha, the most obvious reduce trend in Henan; sunshine hours showed a decreasing trend from northwest to southeast, sunshine hours show downward trend throughout the region, high value of the regional distribution in Xiaozaohuo and Lenghu, the maximum value is3436.91h, low regional distribution in Jiuzhi, the annual average sunshine hours is2324.45h, most obvious downward trend in Minmang and Minhe, Yeniugou showed obvious upward trend, the wind speed show decreasing trend from west to east, wind speed in the entire region on the rise, the center of the high value distribution in Wudaoliang, the annual average wind speed is4.32m/s, low center distribution in Jiuzhi, the annual average wind speed is-0.11m/s, the most obvious upward trend in Xiaozaohuo and Dari, most obvious downward trend in Mangy a and Nuomuhong.3. Cycle analysis about meteorological elements:Nearly50years, the temperature of Qinghai province in26a was the most obvious oscillation, the second was in15a, the temperature change in26around a strongest oscillation, the temperature change of the time scale features and main cycle is the basic consistent. Rainfall in Qinghai province around7a vibration is quite obvious, changes in rainfall in7a oscillation was the strongest, for changes in rainfall was the first principal cycle, the second, third, and fourth cycle respectively was for26a,12a and2a; Sunshine hours in9a and26of the oscillation was more obvious, and the oscillation around in26a was strongest, which was basically same as the wavelet coefficient. The oscillation of wind speed most strongly in26a, which was the first cycle in Qinghai province.4. Mutation analysis about meteorological elements:the temperature mutate in1997spring in Qinghai province, and the summer temperature mutate during the90s, the autumn temperature have no mutation, but winter temperature showed fluctuation upwards trends and mutate in the80s, The annual temperature present the trend of rising volatility from1963. The amount of precipitation experience a increase-reduce-increase stage, the mutations occur in1983, there was no no obvious mutations trend in summer and autumn, the winter precipitation mutate in the80s, and there is no clear mutations trend about average annual precipitation. The sunshine duration start to drop and have no significant mutations from1983, which explain the sunshine duration in summer changed about2000, sunshine duration in Autumn and winter is gradually down, and there is no significant mutations trend, the mutation of sunshine duration is not clearYears wind speed and the wind speed in four seasons trend to fluctuate changing, then down, among which years average wind speed fell in1973, It was the last in spring of wind speed decreasing, so we think years wind speed and the four seasons wind speed were no mutations.
Keywords/Search Tags:Qinghai province, climate change, space distribution, wavelet analysis, cycle and mutation
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