利用近距离主动与被动遥感相结合的方法探测天坑

N. Goldshleger, U. Basson, I. Azaria, S. Fastig
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引用次数: 3

摘要

在以色列的死海地区,由于地点众多,很容易观察到塌方。近30年来,死海水位持续下降,导致天坑活动大幅增加(超过3000个天坑上层塌陷)。直径达50米的天坑被发现聚集在具有不同特征的地点。在这项研究中,我们开发了基于主动和被动遥感手段的测绘和监测方法来预测天坑外观的方法。这些方法是基于几种仪器的测量结果,包括现场光谱法、地球物理探地雷达(GPR)和频域电磁(FDEM)仪器。现场光谱法用于比较在进展的天坑附近收集的土壤样品和在没有明显天坑发生的地区收集的土壤样品的光谱特征。主动遥感显示,前者的电导率和土壤湿度较高。在不同的时间点进行测量,以监测“胚胎”天坑的进展。研究步骤包括(i)审查以前发表的文献,(ii)绘制不同阶段有大量天坑的地区和易受其影响的地区,(iii)数据分析和制定预警指标,为科学界提供可获取的信息。本研究结果为建立陷坑形成预警工具提供了可能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using Combined Close-Range Active and Passive- Remote Sensing Methods to Detect Sinkholes
In the Dead Sea region of Israel, sinkholes collapse can be observed easily due to the large number of sites. The continuous decrease in Dead Sea level over the last 30 years, caused a substantial increases the sinkhole activity (more than 3,000 sinkholes upper layer collapse). Sinkholes of up to 50 m diameter are found to be clustered in sites with variable characteristics. In this research, we have developed methods for prediction of sinkholes appearance by using mapping and monitoring methods based on active and passive remote-sensing means. These methods are based on measurements from several instruments including field spectrometry, geophysical ground-penetration radar (GPR) and a frequency domain electromagnetic (FDEM) instrument. Field spectrometry was used to compare the spectral signatures of soil samples collected near progressing sinkholes and those taken in regions with no visible occurrence of sinkholes. Active remote sensing showed higher electrical conductivity and soil moisture in the former regions. Measurements were taken at different time points to monitor the progress of an "embryonic" sinkhole. The research steps included (i) review of previous published literature, (ii) mapping of regions with an abundance of sinkholes in various stages, and areas that are vulnerable to them, (iii) data analysis and development of warning indicators, accessible information to the scientific community. The result derived from this research indicates the possibility to build a pre-warning tool to detect the formation of sinkholes.
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