研究目的
Developing methods for prediction of sinkholes appearance by using mapping and monitoring methods based on active and passive remote-sensing means.
研究成果
Combining remote-sensing methods enabled locating existing subsurface sinkholes, mapping them, and identifying areas with potential for new sinkhole development. The results indicated periodically detectable changes and, combined with accumulated knowledge of existing sinkhole locations, should enable predicting new sinkhole formation.
研究不足
The study's limitations include the need for further development of the methods in combination with other approaches, such as hyperspectral mapping with modern and advanced sensors, thermal mapping, testing groundwater recharge in sinkholes, and combining hydrological and meteorological information with rainfall–runoff relationships.
1:Experimental Design and Method Selection:
The study used active and passive remote-sensing methods including field spectrometry, geophysical ground-penetration radar (GPR), and a frequency domain electromagnetic (FDEM) instrument to monitor sinkhole formation.
2:Sample Selection and Data Sources:
Soil samples were collected from regions along the west coast of the Dead Sea, based on the presence of surface subsidence, and the structural and mechanical properties of the soil and underground rock.
3:List of Experimental Equipment and Materials:
Instruments used included an Analytical Spectral Device (ASD) field spectrometer, RAMAC GPR, and Gem-2 FDEM sensor.
4:Experimental Procedures and Operational Workflow:
The research was performed in three stages: defining the tested areas, integrated information-gathering from different remote-sensing methods, and production process and drawing conclusions based on data results.
5:Data Analysis Methods:
Spectral analysis of soil samples, analysis of EC values, and GPR analysis were used to monitor and localize sinkholes temporally and spatially.
独家科研数据包,助您复现前沿成果,加速创新突破
获取完整内容