Abstract: A data acquisition method for three-dimensional high-density resistivity based on arbitrary electrode distribution, comprising the following steps: evenly providing measurement points in a predetermined measurement area, and selecting endpoint positions and directions of electrode pairs according to surface conditions; sequentially moving a power supply to each of the measurement points according to the identification numbers, with the electrode pair at the current point as the power supply electrode pair, and the electrode pair within the effective measurement circle corresponding to the current point as the measurement electrode pair; continuing the process until all measurement points are powered, and a rolling measurement of the entire measurement area is complete.

Abstract: An electrical resistivity tomography prospecting system based on random distribution of electrodes is provided. The system comprises a central console and a plurality of data collection units. The central console and the data collection units are connected via wireless communication. The data collection units comprises a collection station and two electrodes connected via a cable. The electrodes may be randomly arranged based on the grounding condition. The GPS equipped on the electrode may provide the location information of the measurement point. The collection station is controlled by the central console, and may perform in two work modes: current supply measurement or electrical potential measurement. The data collection is parallel. Sequentially selecting one collection unit for current supplying, while the rest of collection units work for potential measurement.

Abstract: The present disclosure discloses a method for identifying ice crystal fabric and distribution characteristics of ice flow field in ice sheet based on polarimetric radar. Because there is a correlation between the second-order fabric azimuth tensor and the dielectric constant tensor of the ice crystals inside the ice sheet, the present disclosure obtains the dielectric constant tensor of each reflection layer inside the ice sheet and its rotation angle from the polarimetric radar echo signal by the layer-by-layer recursive method, and then calculates to obtain the characteristic value of the second-order fabric orientation tensor and identifies its fabric type. After that, according to the correlation among the fabric, stress deformation and the ice flow to extract the information of ice flow direction and its spatial distribution characteristics.

Abstract: An electrical resistivity tomography prospecting system based on random distribution of electrodes is provided. The system comprises a central console and a plurality of data collection units. The central console and the data collection units are connected via wireless communication. The data collection units comprises a collection station and two electrodes connected via a cable. The electrodes may be randomly arranged based on the grounding condition. The GPS equipped on the electrode may provide the location information of the measurement point. The collection station is controlled by the central console, and may perform in two work modes: current supply measurement or electrical potential measurement. The data collection is parallel. Sequentially selecting one collection unit for current supplying, while the rest of collection units work for potential measurement.

Abstract: The present disclosure discloses a method for identifying ice crystal fabric and distribution characteristics of ice flow field in ice sheet based on polarimetric radar. Because there is a correlation between the second-order fabric azimuth tensor and the dielectric constant tensor of the ice crystals inside the ice sheet, the present disclosure obtains the dielectric constant tensor of each reflection layer inside the ice sheet and its rotation angle from the polarimetric radar echo signal by the layer-by-layer recursive method, and then calculates to obtain the characteristic value of the second-order fabric orientation tensor and identifies its fabric type. After that, according to the correlation among the fabric, stress deformation and the ice flow to extract the information of ice flow direction and its spatial distribution characteristics.