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基于多源遥感数据的玛纳斯河流域冰川物质平衡变化
引用本文:赵贵宁,张正勇,刘琳,徐丽萍,王璞玉,李丽,宁珊.基于多源遥感数据的玛纳斯河流域冰川物质平衡变化[J].地理学报,2020,75(1):98-112.
作者姓名:赵贵宁  张正勇  刘琳  徐丽萍  王璞玉  李丽  宁珊
作者单位:石河子大学,石河子 832000 中国科学院西北生态环境资源研究院 冰冻圈科学国家重点实验室,兰州 730000
基金项目:国家自然科学基金项目(41761108);国家自然科学基金项目(31760151);国家自然科学基金项目(41641003)
摘    要:冰川物质平衡变化是连接气候和水资源的重要纽带,对河川径流有重要的调节功能。本文采用MOD11C3和TRMM 3B43等多源遥感数据驱动度日模型,模拟了2000—2016年玛纳斯河(简称玛河)流域冰川物质平衡过程,并分析了冰川融水对径流的补给规律。结果表明: ① 通过构建气温及降水反演模型能有效校正气象遥感原数据的精度,且经降尺度后能较精细刻画冰川区气候变化特征。冰川区年均气温和降水量分别为-7.57 ℃和410.71 mm,海拔4200 m处为气候变化剧烈地带,气温直减率以其为界上下分别为-0.03 ℃/100 m和-0.57 ℃/100 m,降水梯度分别为-2.66 mm/100 m和4.8 mm/100 m,海拔大于4700 m后降水又以5.17 mm/100 m递增。② 研究期内流域冰川持续呈负平衡状态,累积物质平衡达-9811.19 mm w.e.,年均物质平衡介于-464.85~-632.19 mm w.e.之间。垂向物质平衡在消融区和积累区分别以244.83 mm w.e./100 m、18.77 mm w.e./100 m递增。2000—2002年、2008—2010年冰川消融减缓,2002—2008年、2010—2016年消融加剧,其中2005—2009年期间冰川亏损最为强烈。③ 年内河川径流对冰川物质平衡变化响应强烈,尤以7月、8月物质平衡亏损最为严重占全年总量的75.4%,使得同期河川径流量占全年径流总量的55.1%。年际冰川融水补给率波动于19%~31%之间,可能是不同年份降水和积雪融水补给率差异较大所致。玛河与天山北坡其他河流冰川融水贡献率非常接近,也进一步证实了本研究物质平衡估算结果的可靠性。本研究可为其他流域冰川物质平衡研究提供借鉴和参考。

关 键 词:多源遥感数据  度日模型  物质平衡  冰川融水  玛纳斯河流域  
收稿时间:2018-12-27
修稿时间:2019-11-09

Changes of glacier mass balance in Manas river basin based on multi-source remote sensing data
ZHAO Guining,ZHANG Zhengyong,LIU Lin,XU Liping,WANG Puyu,LI Li,NING Shan.Changes of glacier mass balance in Manas river basin based on multi-source remote sensing data[J].Acta Geographica Sinica,2020,75(1):98-112.
Authors:ZHAO Guining  ZHANG Zhengyong  LIU Lin  XU Liping  WANG Puyu  LI Li  NING Shan
Institution:Shihezi University, Shihezi 832000, Xinjiang, China State Key Laboratory of Cryospheric Science,Northwest Institute of Eco-Environment and Resources, CAS, Lanzhou 730000, China
Abstract:The glacier mass balance (GMB) is an important link between climate and water resources, which has remarkable regulation functions for river runoff. The research, using MOD11C3, TRMM 3B43 and other multi-source remote sensing data to drive the degree-day model, simulates the GMB processes and analyzes the recharge of glacial meltwater to runoff in the Manas River Basin (MRB) during 2000-2016. The results show that: (1) By constructing the temperature and precipitation inversion model, the accuracy of the meteorological remote sensing data can be effectively corrected, and the characteristics of climate change in the glacial region can be well described after downscaling. The annual average temperature and precipitation in the glacier area were -7.57 ℃ and 410.71 mm, respectively. The place at an altitude of 4200 m is a severe climate change zone. Above 4200 m, the temperature drop rates and precipitation gradients were -0.03 ℃/100 m and -2.66 mm/100 m, respectively; while below 4200 m, they were -0.57 ℃/100 m and 4.8 mm/100 m, respectively. Besides, at a higher altitude of 4700 m, the precipitation increased by 5.17 mm/100 m. (2) During the study period, the glaciers in the basin continued to be in a negative state, with a cumulative GMB of -9811.19 mm w.e. and an average annual GMB between -464.85 mm w.e. and -632.19 mm w.e. The vertical GMB increased by 244.83 w.e./100 m and 18.77 w.e./100 m in the ablation zone and the accumulation zone, respectively. From 2000 to 2002 and 2008 to 2010, the melting of glaciers slowed down, and the ablation was intensified from 2002 to 2008 and from 2010 to 2016. Strikingly, the loss of glaciers was most serious during the period 2005-2009. (3) The river runoff responded strongly to the change of GMB within the year, especially in July and August, namely, the GMB loss accounted for 75.4% of the total amount of the whole year, and the river runoff accounted for 55.1% of the annual total. The inter-annual glacial meltwater recharge rate fluctuated between 19% and 31%, which may be due to the differences of precipitation and snow melt water recharge rates in different years. The contribution rate of glacial meltwater of the MRB is close to that of other river basins on the northern slope of the Tianshan Mountains, which can further confirm the reliability of the GMB estimation results. Above all, the research can provide reference for the study of GMB in other river basins.
Keywords:multi-source remote sensing data  degree-day model  glacier mass balance (GMB)  glacial meltwater  Manas river basin (MRB)  
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