考虑水热力耦合过程的InSAR冻土活动层厚度估计及冻融灾害风险评价
批准号:
42104016
项目类别:
青年科学基金项目(C类)
资助金额:
30.0 万元
负责人:
赵蓉
依托单位:
学科分类:
卫星大地测量学
结题年份:
2024
批准年份:
2021
项目状态:
已结题
项目参与者:
赵蓉
中文摘要
冻土活动层厚度是多年冻土稳定性及退化情况的重要表征之一,在全球气候转暖大背景下呈显著增加趋势,导致地表变形加剧,引发多种地质灾害。InSAR为大范围、高分辨率活动层厚度估计带来了契机。但是,现有InSAR冻土变化监测未充分考虑冻土活动层中水热力耦合过程,导致形变模型难以准确描述复杂冻土地表形变规律,形变与活动层厚度函数关联不严密,为后续冻融灾害评价带来了极大不确定性。鉴于此,本项目拟建立考虑持续气温变化及降水分布特征的时序InSAR形变监测模型;在此基础上,提出顾及水热力耦合过程的InSAR多年冻土活动层厚度估计方法;最后,开展引入InSAR形变和活动层厚度的冻融灾害风险评估。本项目:1)可提升InSAR冻土监测能力,丰富冰冻圈遥感方法;2)可提高对大面积冻土冻融过程的认识,服务于我国“三极”大科学计划;3)为准确、可靠、快速监测青藏高原地区冻土退化引发的地质灾害提供重要技术支持。
英文摘要
The active layer thickness (ALT) is one of the important indexes reflecting the stability and degeneration of the permafrost and degeneration of permafrost. Under the global climate warming, the obvious increasing of ALT intensifies the surface deformation and triggers geological disasters. Interferometric Synthetic Aperture Radar (InSAR) provides an opportunity for estimating ALT over permafrost with high-resolution and wide coverage. However, the monitoring of permafrost change based on InSAR technique currently does not fully consider the coupling process of moisture-heat-stress field in the active layer over permafrost, which leads to the difficulty of modeling the complex surface deformation law, the unprecise function correlation between surface deformation and ALT, and also brings great uncertainty to the subsequent freezing-thawing risk assessment. Therefore, the project will firstly establish a new MT-InSAR deformation model by considering the influence of the continuous temperature change and the distribution of precipitation. Then the project will develop an ALT estimation method that based on the InSAR-result and the coupled interaction of moisture-heat-stress fields. Finally, the freezing-thawing risk assessment based on InSAR surface deformation and ALT measurements will be carried out. The research results of the project : 1) can improve the monitoring ability of InSAR in frozen soil application, and enrich the methods in the field of cryosphere remote sensing; 2) can improve the understanding of freeze-thaw process in large-scale permafrost areas, and serve Scientific Programme of Earth’s Three Poles in China; 3) can provide important technical support for the exact, reliable and rapid detection of geological hazards caused by permafrost degradation in the Qinghai-Tibet Plateau.
近几十年来,在全球气候变暖大背景下,青藏高原气候趋于暖湿化,冻土出现显著退化,活动层厚度增加,地表变形加剧,不仅引发水土流失、生态系统演替、有机碳加速分解和释放,还会孕育、诱发地质灾害,威胁重要工程设施的安全运营。地表变形、活动层厚度变化是多年冻土退化主要的特征之一。InSAR为大范围、高分辨率活动层厚度估计及冻融危险性评价带来了契机。但是,现有InSAR冻土变化监测未充分考虑冻土活动层中水热力耦合过程,导致形变模型难以准确描述复杂冻土地表形变规律,形变与活动层厚度函数关联不严密,为后续冻融危险性评价带来了极大不确定性。本项目建立考虑持续气温变化及降水分布特征的时序InSAR形变监测模型;在此基础上,提出顾及水热力性质的InSAR多年冻土活动层厚度估计方法;最后,形成引入InSAR形变和活动层厚度的冻融灾害危险性评价方法。本项目实施过程中发表论文6篇、授权发明专利1项,相关研究成果可提升InSAR冻土监测能力,丰富冰冻圈遥感方法,可提高对大面积冻土冻融过程的认识,服务于我国“三极”大科学计划,可为准确、可靠、快速监测青藏高原地区冻土退化引发的地质灾害提供重要技术支持。
复杂地形/复杂森林场景下光子LiDAR生物量估计方法研究
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批准号:2025JJ50203
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项目类别:省市级项目
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资助金额:0.0万元
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批准年份:2025
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负责人:赵蓉
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依托单位:
国内基金
海外基金