横断山脉沙鲁里山-岷山最大冰期和末次盛冰期的古冰川厚度分布和冰量重建

重建第四纪冰期古冰厚分布和冰量对于我们理解古气候变化，海平面变化和水循环很关键。相较于年代学和地貌学方面的进展，关于青藏高原的大范围的古冰川厚度分布、冰量重建还是空白。该项目选取横断山东段，包括沙鲁里山、工卡拉山、大雪山、邛崃山及岷山区域作为研究区，首先通过地貌识别和宇生核素暴露测年方法并结合前人研究确定末次盛冰期和最大冰期时的冰川地貌和范围，然后结合中流线冰厚迭代模拟法和抛物线形态模拟法来计算纵剖面古冰厚分布并插值重建区域内所有古冰川的三维模型，最终实现对研究区的两次冰期的古冰厚分布和冰量的准确重建，并恢复古气候。该研究将提供大量详实数据促进我们理解冰川发育与地形、气候的关系，并丰富对于古冰川物理特征的认识。对比高原其它地区甚至全球，研究成果还将促进我们理解冰期发育模式及驱动机制。

Reconstructions of paleo ice thickness distribution and volume are critical to our understanding of paleo climate change, sea level change and hydrological cycle. A lot of improvements in terms of glacial geomorphology and glacial geochronology have advanced our understanding of the Quaternary glaciations in the Tibetan Plateau, however, we know little about the paleo ice volume and ice thickness. The proposed project choose the eastern Hengduan Mountain, including Shaluli Shan, Gongkala Shan,Daxue Shan,Qionglai Shan and Min Shan, as the study area, to reconstruct ice thickness distribution of paleo glaciers during the Maximum Glaciations and the Last Glacial Maximum(LGM). We first generate detailed glacial landform maps for the two glaciations by using geomorphic mapping and cosmogenic nuclide exposure dating methods, combining with previous studies. Then we apply iterative modelling and parabolic modelling approaches to model the flowline ice thickness profile for each glacier based on the landform evidences. The flowline ice thickness data will be used for interpolating glacier 3D models. Therefore, we could derive distributed ice thickness and estimate ice volume and paleo equilibrium line altitudes, and extract a list of glacial physical parameters. The outcomes of this project will enable us to understand the climatic and topographical controls on glacier development, and allow us to compare the glaciations of the study area with the other regions, in order to improve the understanding of the glaciation patterns across the plateau and the mechanisms.