%0 Journal Article
%T 1961- 2013 年贵州省地面温度时空变化特征
%A 王 平
%A 程清平
%A 谭小爱
%J 南水北调与水利科技
%D 2018
%X 利用贵州省 1961- 2013 年逐日 0 cm 地面温度观测资料, 采用 ArcGIS 空间分析、线性趋势分析、小波分析、 Mann-kendall 非参数统计检验法等对贵州省地温的空间分布、变化趋势、突变特点、周期变化等进行研究。结果表明: 平均地温、平均最低地温年际、季节空间分布大致从黔西北向黔东南随经度增加、海拔和纬度的降低而逐渐升高; 平均最高地温年际与秋、冬季空间分布大致从黔东北向黔西南随着经度、纬度的降低和海拔的升高而逐渐升高。 平均地温与平均最低地温年际、季节变化均呈增温趋势, 尤以平均最低地温年际、季节增温趋势最显著; 平均最高地 温年际与春、夏、秋季均呈增温趋势, 冬季呈缓慢下降趋势。平均地温、平均最高地温、平均最低地温年际、季节突变集中于 20 世纪 90 年代以来; 且均以春、秋季突变十分显著。平均地温、平均最高地温、平均最低地温年际、季节周期变化主要以长周期为主周期。年平均地温、年平均最低地温与海拔呈显著的负相关, 与经度呈显著的正相关, 而年平均最高地温则与纬度呈显著的负相关。  Using the daily 0 cm soil surface temperature data of Guizhou during 1961 to 2013, adopting the methods of ArcGIS spatial analysis, linear trend, wavelet analysis, and Mann Kendall nonparametric test, we analyzed the spatial distribution, change trend, mutation characteristics, and variation period of the surface temperature in Guizhou. The results showed that the annual and seasonal spatial distribution of average surface temperature and average minimum surface temperature was roughly increasing from northwestern Guizhou to southeastern Guizhou along with the increase of longitude and the decrease of altitude and latitude. The annual, autumn, and winter spatial distribution of average maximum surface temperature was roughly increasing from the northeast to the southwest of Guizhou along with the decrease of latitude and longitude and the increase of altitude. The annual and seasonal changes of aver agesurface temperature and average minimum surface temperature all showed a warming trend, which was especially prominent for the annual and seasonal changes of average minimum surface temperature. The annual, spring , summer, and autumn changes of average maximum surface temperature all showed a warming trend, but the winter change showed a slight downward trend. The annual and seasonal mutations of average surface temperature, average maximum surface temperature, and average minimum surface temperature concentrated in the 1990s, and the mutations were very significant in spring and autumn. The annual and seasonal variation periods of average surface temperature, average maximum surface temperature, and average minimum surface temperature were primarily long periods. The annual average surface temperature and annual average minimum surface temperature were both negatively correlated with the altitude and positively correlated with the longitude, while the annual average maximum surface temperature was negatively correlated with latitude.  国家自然科学基金( 41261007)
%K 贵州省
%K 地面温度
%K 时空变化
%K 周期变化
%K Guizhou
%K surface temperature
%K temporal and spatial variation
%K periodic variation
%U http://www.nsbdqk.net/nsbdyslkj/article/abstract/20180218?st=article_issue