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Spatiotemporal distribution and the characteristics of the air temperature of a river source region of the Qinghai-Tibet Plateau

机译:青藏高原河源区的时空分布及气温特征

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As the backland of the Qinghai-Tibet Plateau, the river source region is highly sensitive to changes in global climate. Air temperature estimation using remote sensing satellite provides a new way of conducting studies in the field of climate change study. A geographically weighted regression model was applied to estimate synchronic air temperature from 2001 to 2015 using Moderate-Resolution Imaging Spectroradiometry (MODIS) data. The results were R (2) = 0.913 and RMSE = 2.47 A degrees C, which confirmed the feasibility of the estimation. The spatial distribution and variation characteristics of the average annual and seasonal air temperature were analyzed. The findings are as follows: (1) the distribution of average annual air temperature has significant terrain characteristics. The reduction in average annual air temperature along the elevation of the region is 0.19 A degrees C/km, whereas the reduction in the average annual air temperature along the latitude is 0.04 A degrees C/degree. (2) The average annual air temperature increase in the region is 0.37 A degrees C/decade. The average air temperature increase could be arranged in the following decreasing order: Yangtze River Basin Mekong River Basin Nujiang River Basin Yarlung Zangbo River Basin Yellow River Basin. The fastest, namely, Yangtze River Basin, is 0.47 A degrees C/decade. (3) The average air temperature rise in spring, summer, and winter generally increases with higher altitude. The average annual air temperature in different types of lands following a decreasing order is as follows: wetland construction land bare land glacier shrub grassland arable land forest land water body and that of the fastest one, wetland, is 0.13 A degrees C/year.
机译:作为青藏高原的内陆地区,河源地区对全球气候变化高度敏感。利用遥感卫星进行气温估算提供了一种在气候变化研究领域进行研究的新方法。使用中度分辨率成像光谱辐射(MODIS)数据,应用地理加权回归模型估算2001年至2015年的同期气温。结果为R(2)= 0.913和RMSE = 2.47 A摄氏度,这证实了估计的可行性。分析了年平均气温和季节气温的空间分布和变化特征。研究结果如下:(1)年平均气温分布具有明显的地形特征。沿该地区海拔的年平均气温降低为0.19 A摄氏度/公里,而沿纬度的年平均气温降低为0.04 A摄氏度/摄氏度。 (2)该地区的年平均气温升高为0.37 A摄氏度/十年。平均气温升高的升序可以为:长江流域>湄公河流域>怒江流域>雅鲁藏布江流域>黄河流域。最快的地区,即长江流域,是每十年每度0.47A。 (3)春季,夏季和冬季的平均气温升高通常随海拔升高而升高。按照降序排列,不同类型土地的年平均气温如下:湿地>建设用地>裸地冰川>灌木草地>耕地>林地>水体,而最快的湿地是0.13 A摄氏度/年。

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