Spatial and Temporal Characteristics of Snow Cover in the Tizinafu Watershed of the Western Kunlun Mountains
Spatial and Temporal Characteristics of Snow Cover in the Tizinafu Watershed of the Western Kunlun Mountains
复制标题
西昆仑提子那夫流域积雪时空特征
DOI：
10.3390/rs70403426
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发表时间：
2015-03
期刊：
影响因子：
5
通讯作者：
Feng Xuezhi
中科院分区：
文献类型：
--
作者：
She Jiangfeng;Zhang Yufang;Li Xingong;Feng Xuezhi
提孜那甫流域地处西昆仑山区，地形复杂，积雪的时空特征研究较少。每日积雪数据的10个水文年（2002年10月至2012年9月）在流域生成的结合MODIS Terra（MOD 10A1）和Aqua（MYD 10A1）积雪产品，并采用9天的时间过滤器云减少。使用模拟方法评估时间滤波器的精度和窗口大小。在此基础上，分析了流域积雪的时空变化特征。我们的研究结果表明，雪一般在3月开始融化，并在8月初达到最低限度的流域。积雪覆盖率（SCP）在所有五个海拔区增加一致的海拔上升。当坡度超过10°时，坡度对积雪分布的影响不明显。SCP差异最大的是南方和其他方面，出现在10月中旬和11月中旬之间，SCP减少，表明太阳直接辐射可能导致积雪减少。虽然水文年和融雪季节的平均积雪覆盖时间（SCD）共享一个类似的空间格局的流域地形，SCD的变异系数表现出相反的空间分布。有一个显着的相关性之间的年平均SCP和年总流量，表明融雪是一个主要来源的径流，可能是可预测的SCP。
The Tizinafu watershed has a complex mountainous terrain in the western Kunlun Mountains; little study has been done on the spatial and temporal characteristics of snow cover in the region. Daily snow cover data of 10 hydrological years (October 2002 to September 2012) in the watershed were generated by combining MODIS Terra (MOD10A1) and Aqua (MYD10A1) snow cover products and employing a nine-day temporal filter for cloud reduction. The accuracy and window size of the temporal filter were assessed using a simulation approach. Spatial and temporal characteristics of snow cover in the watershed were then analyzed. Our results showed that snow generally starts melting in March and reaches the minimum in early August in the watershed. Snow cover percentages (SCPs) in all five elevation zones increase consistently with the rise of elevation. Slope doesn’t play a major role in snow cover distribution when it exceeds 10°. The largest SCP difference is between the south and the other aspects and occurs between mid-October and mid-November with decreasing SCP, indicating direct solar radiation may cause the reduction of snow cover. While both the mean snow cover durations (SCDs) of the hydrological years and of the snowmelt seasons share a similar spatial pattern to the topography of the watershed, the coefficient of variation of the SCDs exhibits an opposite spatial distribution. There is a significant correlation between annual mean SCP and annual total stream flow, indicating that snowmelt is a major source of stream runoff that might be predictable with SCP.
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