Deep Electrical Resistivity Tomography - SENECA Project Antarctica

This repository collects all the files of the Deep Electrical Resistivity Tomography (DERT) geophysical survey held in Antarctica (Dry Valleys) on December 2019- January 2020, as part of the SENECA Project (PrincipaI Investigator Livio Ruggiero, INGV, now at ISPRA). Files in this repository are organized as follows: The dem folder contains the Lidar xyz digital elevation model of the surveyed area (Fountain et al., 2017) that was used to appropriately model the terrain during the mesh generation step of the data processing. The field_data folder contains the DERT resistivity/chargeability datasets acquired by using the IRIS Instruments Fullwaver system (12 VFullwaver boxes, 50 meters MN dipoles) and a VIP5000 transmitter used to inject current at TX electrodes. More details on file types can be found in the folder's README file. The processing folder contains the resistivity inversions files for each profile. More details on file types can be found in the folder's README file. The topography folder hosts the csv files with the sensor positions for each profile from GPS survey and the processed files with the definitive coordinates of the RX and TX electrodes in the UTM WGS84 coordinate system. The conversion table txt files are also derived: these are used to translate the "dummy" coordinates of the raw datasets to the real positions. Acknowledgments This work is part of the PNRA 2018/D3.01 SENECA project and was financially supported by CNR (PNRA 2018 n° 00253 linea D, prot.73633/2019, SENECA PROJECT: Source and origin of greenhouses gases in Antarctica). All the data were collected during the XXXV Italian expedition in Antarctica, we thank PNRA and UTA ENEA for the logistic support. SENECA is a joint project ofinternational cooperation between Italy, New Zealand and Norway. We thank the Antarctica New Zealand for the scientific, logistical and technical support and the Scott Base personnel for hosting our research team. We acknowledge the support of the Research Council of Norway (NFR) through the HOTMUD project number 288299 and its Centres of Excellence funding scheme, projectnumber 223272 (CEED). Credits Jacob Anderson: data acquisition, data interpretation Massimiliano Ascani: data acquisition Bob Dagg: data acquisition Federico Fischanger: survey design, data processing and interpretation Richard Hardie: data acquisition Matteo Lupi: conceptual developement, data interpretation Adriano Mazzini: data acquisition Claudio Mazzoli: data acquisition Valentina Romano: survey design, data collection, data processing and interpretation Livio Ruggiero: principal Investigator of the SENECA project. Alessandra Sciarra: data collection Maria Chiara Tartarello: data collection Gary Wilson: data collection, data interpretation Rachel Worthington: data collection References: Fountain, A.G., Fernandez-Diaz, J.C., Obryk, M., Levy, J., Gooseff, M., Van Horn, D.J., Morin, P., & Shrestha, R., (2017), High resolution elevation mapping of the McMurdo Dry Valleys, Antarctica, and surrounding regions, Earth Syst. Sci. Data, 9, 435-443.本仓库收录了2019年12月至2020年1月在南极洲干谷（Dry Valleys）开展的深部电阻率层析成像（Deep Electrical Resistivity Tomography, DERT）地球物理勘探的全部相关文件，该工作为SENECA项目的组成部分（项目首席研究员为Livio Ruggiero，原隶属于意大利国家地球物理与火山学研究所（INGV），现任职于意大利环境保护与研究局（ISPRA））。 本仓库内的文件组织方式如下： dem文件夹：包含勘探区域的激光雷达（Lidar）xyz格式数字高程模型（数据源自Fountain等人2017年的研究），该模型可在数据处理的网格生成步骤中，对地形进行精准建模。 field_data文件夹：包含使用IRIS Instruments公司Fullwaver系统（12台Fullwaver主机，50米MN偶极子）以及VIP5000发射机（用于向发射电极注入电流）采集得到的DERT电阻率/激电数据集。关于文件类型的更多细节可参见该文件夹内的README文件。 processing文件夹：包含各勘探剖面的电阻率反演文件。关于文件类型的更多细节可参见该文件夹内的README文件。 topography文件夹：存放两类文件：一是通过GPS勘探获取的各剖面传感器位置的csv格式文件；二是经过处理后的接收（RX）与发射（TX）电极最终坐标文件，坐标系采用UTM WGS84。此外还附带转换用的txt格式表格文件，用于将原始数据集的“虚拟”坐标转换为真实地理位置坐标。 致谢 本工作隶属于PNRA 2018/D3.01 SENECA项目，得到了意大利国家研究委员会（CNR）的经费支持（PNRA 2018项目编号00253 第D系列，项目编号73633/2019，SENECA项目：南极洲温室气体来源与成因）。所有数据采集工作均依托第35次意大利南极科考队完成，感谢PNRA与意大利新技术、能源与可持续经济发展局（ENEA）提供的后勤保障。 SENECA项目为意大利、新西兰与挪威联合开展的国际合作项目，感谢新西兰南极局（Antarctica New Zealand）提供的科学、后勤与技术支持，以及斯科特基地（Scott Base）工作人员对本研究团队的接待。本研究同时得到挪威研究理事会（NFR）的资助，相关资助来自HOTMUD项目（项目编号288299）以及挪威卓越研究中心资助计划（项目编号223272，CEED）。 贡献者 Jacob Anderson：数据采集、数据解译 Massimiliano Ascani：数据采集 Bob Dagg：数据采集 Federico Fischanger：勘探设计、数据处理与解译 Richard Hardie：数据采集 Matteo Lupi：概念设计、数据解译 Adriano Mazzini：数据采集 Claudio Mazzoli：数据采集 Valentina Romano：勘探设计、数据采集、数据处理与解译 Livio Ruggiero：SENECA项目首席研究员 Alessandra Sciarra：数据采集 Maria Chiara Tartarello：数据采集 Gary Wilson：数据采集、数据解译 Rachel Worthington：数据采集 参考文献 Fountain, A.G., Fernandez-Diaz, J.C., Obryk, M., Levy, J., Gooseff, M., Van Horn, D.J., Morin, P., & Shrestha, R., (2017), 南极洲麦克默多干谷及其周边区域的高分辨率高程测绘，《地球系统科学数据（Earth Syst. Sci. Data）》，9卷，435-443页。