资源与环境遥感团队学术论文在SCI一区TOP期刊《Science of the Total Environment》上线发表

2024年04月13日，以高永鹏（云南师范大学地理学部地图学与地理信息系统专业2023级博士后）为第一作者，云南师范大学地理学部王金亮教授和云南大学国际河流与生态安全研究院刘时银研究员为通讯作者所撰写的题为“Monitoring dynamics of Kyagar Glacier surge and repeated draining of Ice-dammed lake using multi-source remote sensing”的学术论文在SCI一区期刊《Science of the Total Environment》上线发表(https://doi.org/10.1016/j.scitotenv.2024.172467).

冰川跃动是指冰川在缓慢（静止阶）与快速（跃动阶）流动之间周期性循环的特殊运动现象，具有这一运动特征的冰川被称为跃动冰川。近年来，亚洲高山区与冰川跃动相关的冰川灾害（如冰川阻塞湖溃决洪水、冰崩）频发，严重影响着周边国家人民生命财产安全、基础设施建设和社会经济可持续发展。因此，聚焦冰川跃动相关研究对于精准防范与科学预警冰川跃动灾害具有重要的科学意义与实践应用价值。

“Monitoring dynamics of Kyagar Glacier surge and repeated draining of Ice-dammed lake using multi-source remote sensing”一文则基于多源遥感数据，在获取Kyagar冰川近20年表面高程、流速的基础上，定量解析了该冰川在2014~2016年跃动过程中的基底剪切应力、滑动速度、形变速度变化和水对冰川跃动的影响。同时，文章进一步分析了Kyagar冰川跃动诱发形成的冰坝湖排水过程及其机理，明晰了冰下排水通道开闭与入湖流量对冰湖重复性排水的影响。为喀喇昆仑山冰川跃动机理及其灾害防范提供了有力的科学支撑。

图1 图形摘要

该论文得到了高永鹏博士后主持的云南师范大学地理学部科研能力提升计划专项、云南师范大学地理学部博士后科研启动基金、云南师范大学博士后启动基金、甘肃省绿洲资源环境与可持续发展重点实验室开放基金（GORS202302）和王金亮教授主持的云南师范大学科研创新团队建设项目（23JRRA658）的共同资助。

这是高永鹏同学博士后期间以第一作者发表的第1篇SCI学术论文（详见附录1），此篇论文也是王金亮教授导师团队2024年发表的第4篇SCI/SCIE论文，让我们恭喜高永鹏同学！希望他再接再厉！也热烈祝贺团队取好成绩！

附录 1 论文相关信息

标题： Monitoring dynamics of Kyagar Glacier surge and repeated draining of Ice-dammed lake using multi-source remote sensing

作者： Yongpeng Gao^a,b,c,d, Jinliang Wang ^a,b,c,*, Shiyin Liu ^e,f,g,**, Xiaojun Yao ^d , Miaomiao Qi ^e,f, Pengbin Liang ^h,i, Fuming Xie ^e,f , Jianxin Mu ^j, Xinggang Ma ^k

通讯作者：Jinliang Wang, Shiyin Liu

作者单位：

^{a Faculty of Geography, Yunnan Normal University, Kunming 650500, China}

^{b Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan, Kunming 650500, China}

^{c Center for Geospatial Information Engineering and Technology of Yunnan Province, Kunming 650500, China}

^{d Key Laboratory of Resource Environment and Sustainable Development of Oasis, Gansu Province, Northwest Normal University, Lanzhou 730070, China}

^{e Yunnan Key Laboratory of International Rivers and Transboundary Eco-Security, Yunnan University, Kunming 650091, China}

^{f Institute of International Rivers and Eco-Security, Yunnan University, Kunming 650091, China}

^{g Yunnan International Joint Laboratory of China-Laos-Bangladesh-Myanmar Natural Resources Remote Sensing Monitoring, Kunming 650091, China}

^{h School of Ecology and Environmental Science, Qinghai University of Science and Technology, Xining 810008, China}

^{i Qinghai Provincial Key Laboratory of Plateau Climate Change and Corresponding Ecological and Environmental Effects, Xining 810008, China}

^{j Key Laboratory of Cryospheric Science and Frozen Soil Engineering/Tian Shan Glaciological Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, Gansu, China}

^{k National Field Science Observation and Research Station of Yulong Snow Mountain Cryosphere and Sustainable Development, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China}

E-mail addresses: jlwang@ynnu.edu.cn (J. Wang), shiyin.liu@ynu.edu.cn (S. Liu).

出版物： Science of the Total Environment

摘要：

Glacier surges, a primary factor contributing to various glacial hazards, has long captivated the attention of the global glaciological community. This study delves into the dynamics of Kyagar Glacier surging and the associated drainage features of its Ice-dammed lake, employing high temporal resolution optical imagery. Our findings indicate that the surge on Kyagar Glacier began in late spring and early summer of 2014 and concluded during the summer of 2016. This surge resulted in the transfer of 0.321 ± 0.012 km³ of glacier mass from the reservoir zone to the receiving zone, leading to the formation of an ice-dammed lake at the glacier’s terminus. The lake experienced five outbursts between 2015 and 2019, with the largest discharge occurring in 2017. And the maximum water depth during this period was 112 ± 11 m, resulting in a water storage volume of (158.37 ± 28.32) × 106 m³. On the other hand, our analysis of the relationship between glacier surface velocity and albedo, coupled with an examination of subglacial dynamics, revealed that increased precipitation during the active phase of the Kyagar Glacier results in accumulation of mass in the upper glacier. This accumulation induces changes in basal shear stress, triggering the glacier’s transition into an unstable state. Consequently, glacier deformation rates escalate, surface crevasses proliferate, potentially providing conduits for surface meltwater to infiltrate the glacier bed. This, in turn, leaded to elevated basal water pressure, initiating glacier sliding. Furthermore, we postulated that the repetitive drainage of Kyagar Ice-dammed lake was primarily influenced by the opening and closing of subglacial drainage pathways and variations in inflow volumes. Future endeavors necessitate rigorous field observations to enhance glacier surge simulations, deepening our comprehension of glacier surge mechanisms and mitigating the impact of associated glacial hazards.

关键字：Glacier surge, Glacier lake outburst floods, Kyagar Glacier, Remote sensing

附录 2 王金亮教授团队 2024 年发表论文清单

自2024年01月01日至04月18日，王金亮教授导师团队发表学术论文4篇（仅仅统计王金亮教授为通讯作者的论文），其中SCI/SCIE论文4篇 总影响因子IF22.1。具体信息如下：

[4] Gao, Y., Wang, J. *, Liu, S. *, Yao, X., Qi, M., Liang, P., Xie, F., Mu, J., Ma, X. Monitoring dynamics of Kyagar Glacier surge and repeated draining of Ice-dammed lake using multi-source remote sensing[J]. Science of The Total Environment, 2024, 172467. https://doi.org/10.1016/j.scitotenv.2024.172467 (中科院SCI期刊分区 2023年12月最新升级版一区 Top，IF 9.8)

[3] Xu, Haichao, Rongqing Han, Jinliang Wang*, and Yongcui Lan.Temporal–Spatial Characteristics and Influencing Factors of Forest Fires in the Tropic of Cancer (Yunnan Section)[J]. Forests, 2024, 15, 661. https://doi.org/10.3390/f15040661 (中科院SCI期刊分区 2023年12月最新升级版二区，IF 2.9)

[2] Yanke Zhang, Tengfei Gu, Suling He, Feng Cheng, Jinliang Wang*, et al. Extreme drought along the tropic of cancer (Yunnan section) and its impact on vegetation[J]. Scientific reports, 2024, 14, 7508. https://doi.org/10.1038/s41598-024-58068-w. (中科院SCI期刊分区 2023年12月最新升级版二区，IF 4.6)

[1] Di Duan, Yuncheng Deng, Jianpeng Zhang, Jinliang Wang*, et al. Influence of VF and SOR-Filtering Methods on Tree Height Inversion Using Unmanned Aerial Vehicle LiDAR Data[J]. Drones, 2024, 8(4), 119. https://doi.org/10.3390/drones8040119.  (中科院SCI期刊分区 2023年12月最新升级版二区，IF 4.8)

（云南省高校资源与环境遥感重点实验室  供稿）