• 水文与生态 •

### 基于MODIS数据的2000-2013年西昆仑山玉龙喀什河流域积雪面积变化

1. 1. 中国科学院青藏高原研究所环境变化与地表过程重点实验室, 北京100101;
2. 中国科学院大学, 北京100049;
3. 新疆和田水文水资源勘测局, 新疆和田848000;
4. 中国科学院自然科学史研究所, 北京100190
• 收稿日期:2014-01-01 修回日期:2014-02-01 发布日期:2014-03-24
• 作者简介:颜伟（1986-），男，山东临沂人，博士研究生，主要研究方向为寒区水文水资源，E-mail: yanwei@itpcas.ac.cn。
• 基金资助:
国家自然科学基金重点项目（41030639）；NSFC-新疆联合基金项目（U1178304）。

### Snow cover area changes in the Yurungkax River Basin of West Kunlun Mountains during 2000-2013 using MODIS data

YAN Wei1,2, LIU Jingshi1, LUO Guangming3, DONG Kepeng3, LU Wei1, DU Xinhao2,4

1. 1. Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, CAS, Beijing 100101, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China;
3. Hotan Hydrology andWater Resource Bureau, Hotan 848000, Xinjiang, China;
4. Institute for the History of Natural Sciences, CAS, Beijing 100190, China
• Received:2014-01-01 Revised:2014-02-01 Published:2014-03-24

Abstract: The Yurungkax River is one of the two major tributaries of the Hotan River that is located at the southern edge of the Tarim River Basin. Its flow is mainly recharged by snow and ice melt water. Since these sources of river flow play an important role in the state of regional water resources, it is necessary to analyze the temporal and spatial variations of snow cover area(SCA) in this catchment for rational water resource management. In this study, we mainly used 8-day snow cover data(MOD10A2) of Moderate Resolution Imaging Spectro-radiometer to extract the SCA of the studied basin over a period of 13 years(March 2000 to February 2013). The two methods used for removing cloud contamination of the SCA images are as follows: MOD/MYD images compositing; and correction using glacier boundary extracted using nine Landsat TM, ETM+ and OLI images from 2000 to 2013. The results show that the two methods removed on average 77.23% of the cloudy pixels and effectively increased the number of images that can be used for analysis. Furthermore, we analyzed the spatial and temporal variations of the SCA in the study area using the corrected MOD10A2 snow cover data, and calculated the coefficients of the Pearson correlation between the SCA and meteorological parameters(air temperature and precipitation) from the hydrological station Tongguziluoke. Results of seasonal change analysis indicate single peak(winter season) of the SCA at low altitude (1650~4000 m asl.) and double peaks(spring and autumn respectively) at high altitude (4000~6000 m asl.), as well as no significant change of the SCA above 6000 m asl. because most areas at this altitude are covered by glaciers. Inter-annual changes of the SCA show that neither the average nor the maximum SCA at all altitude had a significant increasing trend, but the minimum SCA at high altitude increased significantly at a rate of 65.877 km2 per year during the study period. The SCA time series analysis shows an increasing-decreasing-increasing trend at all altitudes in spring, summer and winter seasons respectively. But in the autumn, there was no significant fluctuation of the SCA at low altitude except in 2009 and 2010, which were the peak years of the SCA, and the SCA shows an increasing-decreasing trend at high altitude. Pearson correlation coefficients between the SCA and air temperature and precipitation in 8-day interval show that SCA changes are significantly influenced by air temperature and precipitation at low altitude, where air temperature was the dominant factor in the spring and summer, precipitation was the dominant factor in the winter, and air temperature and precipitation equally controlled the SCA regime in the autumn. At high altitude, SCA was sensitive to precipitation only in winter and spring. In the summer SCA was affected by both temperature and precipitation but air temperature was the main factor that influenced SCA.

• P426.63+5