冰川流域孕灾环境及灾害的天空地协同智能监测模式与方向

doi:10.11947/j.AGCS.2021.20210107

测绘学报 ›› 2021, Vol. 50 ›› Issue (8): 1109-1121.doi: 10.11947/j.AGCS.2021.20210107

冰川流域孕灾环境及灾害的天空地协同智能监测模式与方向

吴立新^1,2, 李佳^1,2, 苗则朗^1,2, 王威^1,2, 陈必焰^1,2, 李志伟¹, 戴吾蛟¹, 许文斌¹

1. 中南大学地球科学与信息物理学院, 湖南长沙 410083;
2. 中南大学地灾感知认知预知研究室, 湖南长沙 410083

收稿日期:2021-03-01 修回日期:2021-04-16 发布日期:2021-08-24
通讯作者: 李佳 E-mail:lijia2050710@csu.edu.cn
作者简介:吴立新(1966-),男,博士,教授,研究方向为地灾感知认知、遥感-岩石力学、数字矿山与智能矿山、三维地学建模与应用。
基金资助:
国家重点研发计划（2018YFC1503505）；国家自然科学基金（42071256；41904006）；湖湘高层次人才聚集工程（2018RS3013）；湖南省自然科学基金（2019JJ50761）；中南大学领军人才支持计划（506030101）；中南大学创新驱动项目（2020CX036）

Pattern and directions of spaceborne-airborne-ground collaborated intelligent monitoring on the geo-hazards developing environment and disasters in glacial basin

WU Lixin^1,2, LI Jia^1,2, MIAO Zelang^1,2, WANG Wei^1,2, CHEN Biyan^1,2, LI Zhiwei¹, DAI Wujiao¹, XU Wenbin¹

1. School of Geoscience and Info-physics, Central South University, Changsha 410083, China;
2. Laboratory of Geo-hazards Perception, Cognition and Predication, Central South University, Changsha 410083, China

Received:2021-03-01 Revised:2021-04-16 Published:2021-08-24
Supported by:
The National Key Research and Development Program of China (No. 2018YFC1503505);The National Natural Science Foundation of China (Nos. 42071256;41904006);The Hunan Provincial Talents Gathering Program of China (No. 2018RS3013);The Hunan Provincial Natural Science Foundation of China (No. 2019JJ50761);The Innovation Leading Program of Central South University (No. 506030101);The Innovation-Driven Project of Central South University (No. 2020CX036)

摘要/Abstract

摘要： 随着中国西部暖湿化进程加快，冰川流域孕灾环境快速变化，冰川灾害多发频发。因冰川流域地形极端复杂、地表覆盖变化迅速，冰川流域灾害具有链式发展的特点且物源区远程高位、地势险峻，面向普通地质滑坡和露天矿边坡的天空地协同监测技术难以直接或有效应用。本文基于冰川流域空间环境与灾害的监测内容及技术难点，分析了可用的现代测绘遥感技术及其局限性。针对监测对象、几何要素和质量要求，提出了基于天空地协同的冰川流域孕灾环境与灾害智能监测内涵，即平台协同、时间协同、参数协同和尺度协同，设计了任务驱动、知识引导的智能监测技术模式。面向3类基本监测任务，即个体冰川流域灾变过程情景模拟、冰川流域群孕灾环境差异分析与风险识别、冰川流域灾害事件应急响应，提出相应的天空地协同智能监测初步方案。最后，讨论了基于天空地协同的冰川流域孕灾环境与灾害智能监测关键问题，提出未来的工作方向。

关键词: 智能监测, 天空地协同, 冰川流域, 冰川泥石流, 任务驱动, 知识引导

Abstract: As the climate in western China becomes increasingly wet and warm, the geo-hazards developing environment in glacial basin varies quickly and the glacial disasters occur frequently. The glacial basin is characterized by rough topography, remote places, and fast changing land covers. More importantly, the glacial disasters are usually developed in chain and the mass source is located in very high altitude. Consequently, the conventional spaceborne-airborne-ground collaborated monitoring technologies on landslide and open-pit slope slide cannot play an effective role on monitoring the variation of glacial basin and glacial disasters. In this paper, based on the contents and difficulties of monitoring, we introduce the usable modern surveying and remote sensing technologies, and analyze their limits. Subsequently, aiming at the different monitoring elements and quality requirements, we propose the connotation of spaceborne-airborne-ground collaborated intelligent monitoring on the glacial basin and glacial disasters, i.e., platform collaboration, time collaboration, parameter collaboration and scale collaboration, and design a task-driven and knowledge-guided technical pattern. Finally, targeting on three fundamental tasks, i.e., the simulation of disaster scenario in single glacier basin, the study of geo-hazards developing environment and risk recognition in multiple glacier basins, and the emergency response of glacial disaster, we present the preliminary schemes of spaceborne-airborne-ground collaborated intelligent monitoring. Finally, the intelligent issues of the spaceborne-airborne-ground collaborated monitoring on the geo-hazards developing environment and disasters in glacial basin are discussed, and the future works are planned.

Key words: intelligent monitoring, spaceborne-airborne-ground collaboration, glacial basin, glacial debris flow, task driven, knowledge guided

中图分类号:

P208

吴立新, 李佳, 苗则朗, 王威, 陈必焰, 李志伟, 戴吾蛟, 许文斌. 冰川流域孕灾环境及灾害的天空地协同智能监测模式与方向[J]. 测绘学报, 2021, 50(8): 1109-1121.

WU Lixin, LI Jia, MIAO Zelang, WANG Wei, CHEN Biyan, LI Zhiwei, DAI Wujiao, XU Wenbin. Pattern and directions of spaceborne-airborne-ground collaborated intelligent monitoring on the geo-hazards developing environment and disasters in glacial basin[J]. Acta Geodaetica et Cartographica Sinica, 2021, 50(8): 1109-1121.

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冰川流域孕灾环境及灾害的天空地协同智能监测模式与方向

Pattern and directions of spaceborne-airborne-ground collaborated intelligent monitoring on the geo-hazards developing environment and disasters in glacial basin

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