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作 者:车正 王宁练 梁倩[1,2] 陈安安 CHE Zheng;WANG Ninglian;LIANG Qian;CHEN An’an(Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity,Xi’an 710127,China;Institute of Earth Surface System and Hazards,College of Urban and Environmental Sciences,Northwest University,Xi’an 710127,China;CAS Center for Excellence in Tibetan Plateau Earth Sciences,Beijing 100101,China)
机构地区:[1]陕西省地表系统与环境承载力重点实验室,陕西西安710127 [2]西北大学城市与环境学院地表系统与灾害研究院,陕西西安710127 [3]中国科学院青藏高原地球科学卓越创新中心,北京100101
出 处:《冰川冻土》2022年第5期1409-1418,共10页Journal of Glaciology and Geocryology
基 金:中国科学院战略性先导科技专项(XDA20060201);国家自然科学基金项目(42130516;41871053);第二次青藏高原综合科学考察研究项目(2019QZKK020102)资助。
摘 要:冰川厚度测量是冰储量估算的关键。基于2019年7月利用探地雷达在托来南山6号冰川主冰川的测厚结果,通过普通克里格法绘制了主冰川的冰厚分布图,计算出主冰川的平均厚度为(39.61±5.32)m,冰厚空间分布呈自边缘向中间逐渐增厚的特征,最大冰厚[(100.78±1.78)m]位于纵剖面海拔4770 m附近的凹陷盆地,结合半物理公式估算出整条冰川的冰储量为(0.0504±0.0082)km^(3)。冰床为典型槽谷地形,谷槽横剖面呈U形,且随海拔的升高谷槽宽度逐渐变小。现有的面积-体积公式并不适用于单条冰川的冰储量估算,但分类型拟合公式具有降低估算结果误差的潜力。The measurement of ice thickness is the key to the ice volume estimation.In 2019,a ground penetrat⁃ing radar system(with a 100 MHz antenna)was used to sound ice thickness along one longitudinal transect and eight transverse transects on the trunk glacier of Tuolainanshan Glacier No.6 in the Qilian Mountains.The map of ice thickness distribution of trunk glacier was acquired by using ordinary Kriging method,the spatial ice thick⁃ness gradually thickening from margin to inner,and the average ice thickness was found to be about(39.61±5.32)m.The total ice volume[(0.0504±0.0082)km^(3)]of Tuolainanshan Glacier No.6 was estimated by com⁃bine with shallow ice approximation,and the maximum thickness[(100.78±1.78)m]was sounded in the de⁃pressed basin located near the 4770 m a.s.l.of longitudinal transect.The transverse transects of ice bed was typical U-shape,and the width of glacier valley decreases with rising elevation.The existing volume-area scal⁃ing of glaciers was not suitable for estimation of the ice volume for single glacier,but the scaling fitting by gla⁃cier shape had the potential to reduce the error of the estimated results.
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