State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China.
Sci Total Environ. 2012 Jun 15;427-428:208-18. doi: 10.1016/j.scitotenv.2012.03.081. Epub 2012 May 5.
Occurrence of temperature anomaly has greatly affected natural cycles of water resources in Lancang River basin in China, which is the upper reach of Mekong River. An integrated spatiotemporal decomposition and analysis method was proposed for the identification of temperature-variation patterns under changing climatic conditions in the basin. This method was based on the combination of S-mode empirical orthogonal function analysis, IDW interpolation, liner regression, weighted moving average and Mann Kendall methods. Results indicated that the first two modes extracted nearly 80% of spatiotemporal variations in temperature. Temperature in the whole basin followed the same variation trend through the first mode analysis. Sensitive areas were mainly located in the southwest of the basin, which occupied nearly half of the basin. The associated time series presented that the basin appeared transition from cold periods to warm periods. Temperature increased significantly over the period of 1960 to 2009 at annual and seasonal scales, particularly over 1990s. At the same time, the most significant rising occurred in winter and the least in summer. In the second mode, a west-east inverse phase pattern of temperature variations was a distinct feature in most of the basin. Temporal trend indicated that the increasing trend in the west region was slightly stronger than that in the east. This was particularly the case of edge areas almost vertical juncture with monsoons. This research is not only helpful in improving understanding of temperature response to global warming in the basin but also provides a basis for basin management.
温度异常的发生极大地影响了中国澜沧江流域(湄公河上游)的水资源自然循环。本研究提出了一种综合时空分解与分析方法,用于识别流域气候变化条件下的温度变化模式。该方法基于 S 模式经验正交函数分析、IDW 插值、线性回归、加权移动平均和曼肯德尔方法的结合。结果表明,前两个模态提取了近 80%的温度时空变化。通过第一模态分析,整个流域的温度呈现出相同的变化趋势。敏感区主要位于流域的西南部,占流域面积的近一半。相关时间序列表明,流域正经历从冷期到暖期的转变。在年际和季节尺度上,1960 年至 2009 年期间温度显著升高,尤其是在 20 世纪 90 年代。同时,冬季温度上升最为显著,夏季上升幅度最小。在第二模态中,温度变化的东西反相对位模式是流域大部分地区的一个显著特征。时间趋势表明,西部地区的上升趋势略强于东部地区。这种情况在季风几乎垂直交汇的边缘地区尤为明显。本研究不仅有助于提高对流域对全球变暖的温度响应的认识,而且为流域管理提供了依据。