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首页> 外文期刊>International Journal of Climatology: A Journal of the Royal Meteorological Society >Evaluation of topographical and geographical effects on some climatic parameters in the Central Anatolia Region of Turkey
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Evaluation of topographical and geographical effects on some climatic parameters in the Central Anatolia Region of Turkey

机译:评估土耳其中部安纳托利亚地区的地形和地理对某些气候参数的影响

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A two-phase research was implemented to determine the effect of topography on climate parameters by using spatial interpolation and conventional statistical procedures in non-homogeneous topography. The primary set of climate data for the Central Anatolia Region includes monthly mean global solar radiation, sunshine duration, surface air temperature, relative humidity, wind speed and rainfall, recorded from 1976 to 2005. In the first phase, the effect of elevation on climate parameters was evaluated. For this purpose, kriging and co-kriging geostatistical interpolation techniques were compared to determine which one of the two techniques was more successful in determining the spatial distribution of climate parameters in variable topography. The inclusion of elevation as a covariate resulted in reduction of errors on sunshine duration, temperature and wind speed. On the basis of these error values, there is a relationship between elevation and sunshine duration, temperature and wind speed. In the second phase, multiple regression equations were developed to determine the effect of topography on annual mean values of climate factors. The highest correlation (-0.76) was found between solar radiation and latitude. The most effective factors were latitude and elevation. They alone explain 57% of the variability for sunshine duration and 56% for temperature, respectively. The multiple regression results were more significant than were the individual, pairwise correlation relationships. The mostly explained factor was temperature. Its variability was explained by latitude, elevation, aspect and slope as a ratio of 81.7%. Separate regression models for each data set and both response variables varied in their ability to explain variability in the response, with R~2 values between 0.125 and 0.817.
机译:通过使用空间插值和非均匀地形中的常规统计程序,进行了两阶段研究来确定地形对气候参数的影响。中部安纳托利亚地区的主要气候数据集包括1976年至2005年记录的每月平均全球太阳辐射,日照时长,地表气温,相对湿度,风速和降雨量。在第一阶段,海拔对气候的影响评估参数。为此,比较了克里格法和共克里格法地统计插值技术,以确定这两种技术中的哪一种在确定可变地形中气候参数的空间分布方面更为成功。将海拔作为协变量包括在内,可以减少日照持续时间,温度和风速的误差。根据这些误差值,海拔和日照时间,温度和风速之间存在关系。在第二阶段,开发了多个回归方程来确定地形对气候因子年均值的影响。发现太阳辐射与纬度之间的相关性最高(-0.76)。最有效的因素是纬度和海拔。仅他们一个人就解释了57%的日照持续时间变异性和56%的温度变异性。多元回归结果比个体成对的相关关系更显着。解释最多的因素是温度。它的可变性由纬度,高程,纵横比和坡度解释为81.7%。每个数据集的单独回归模型和两个响应变量在解释响应变异性方面的能力都不同,R〜2值在0.125和0.817之间。

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