{"title":"近地表地球物理勘探用无人机拖曳可控源电磁系统:仪器噪声、温度漂移、传输频率和测量设置","authors":"Tobias Bjerg Vilhelmsen, A. Døssing","doi":"10.5194/gi-11-435-2022","DOIUrl":null,"url":null,"abstract":"Abstract. Drone-borne controlled-source electromagnetic (CSEM) systems combine the mobility of airborne systems with the high subsurface resolution in ground\nsystems. As such, drone-borne systems are beneficial at sites with poor accessibility and in areas where high resolution is needed, e.g. for\narchaeological or subsurface pollution investigations. However, drone-borne CSEM systems are associated with challenges, which are not observed to\nthe same degree in airborne or ground surveys. In this paper, we explore some of these challenges based on an example of a new drone-towed CSEM\nsystem. The system deploys a multi-frequency broadband electromagnetic sensor (GEM-2 uncrewed aerial vehicle, UAV), which is towed 6 m below a drone in a towing-bird\nconfiguration together with a NovAtel GNSS–IMU (global navigation satellite system–inertial measurement unit) unit, enabling centimetre-level position precision and orientation. The results of a number of\ncontrolled tests of the system are presented together with data from an initial survey at Falster (Denmark), including temperature drift, altitude\nvs. signal, survey mode signal dependency, and the effect of frequency choice on noise. The test results reveal the most critical issues for our\nsystem and issues that are likely encountered in similar drone-towed CSEM set-ups. We find that small altitude variations (± 0.5 m)\nalong our flight paths drastically change the signal, and a local height vs. signal correlation is needed to correct near-surface drone-towed CSEM\ndata. The highest measured impact was −46.2 ppm cm−1 for a transmission frequency of 91 kHz. We also observe a significant increase in the\nstandard deviation of the noise level up to 500 % when going from one transmission frequency to five. We recommend not to use more than three\ntransmission frequencies, and the lowest transmission frequencies should be as high as the application allows it. Finally, we find a strong\ntemperature dependency (up to 32.2 ppm∘C-1), which is not accounted for in\nthe instrumentation.\n","PeriodicalId":48742,"journal":{"name":"Geoscientific Instrumentation Methods and Data Systems","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Drone-towed controlled-source electromagnetic (CSEM) system for near-surface geophysical prospecting: on instrument noise, temperature drift, transmission frequency, and survey set-up\",\"authors\":\"Tobias Bjerg Vilhelmsen, A. Døssing\",\"doi\":\"10.5194/gi-11-435-2022\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract. Drone-borne controlled-source electromagnetic (CSEM) systems combine the mobility of airborne systems with the high subsurface resolution in ground\\nsystems. As such, drone-borne systems are beneficial at sites with poor accessibility and in areas where high resolution is needed, e.g. for\\narchaeological or subsurface pollution investigations. However, drone-borne CSEM systems are associated with challenges, which are not observed to\\nthe same degree in airborne or ground surveys. In this paper, we explore some of these challenges based on an example of a new drone-towed CSEM\\nsystem. The system deploys a multi-frequency broadband electromagnetic sensor (GEM-2 uncrewed aerial vehicle, UAV), which is towed 6 m below a drone in a towing-bird\\nconfiguration together with a NovAtel GNSS–IMU (global navigation satellite system–inertial measurement unit) unit, enabling centimetre-level position precision and orientation. The results of a number of\\ncontrolled tests of the system are presented together with data from an initial survey at Falster (Denmark), including temperature drift, altitude\\nvs. signal, survey mode signal dependency, and the effect of frequency choice on noise. The test results reveal the most critical issues for our\\nsystem and issues that are likely encountered in similar drone-towed CSEM set-ups. We find that small altitude variations (± 0.5 m)\\nalong our flight paths drastically change the signal, and a local height vs. signal correlation is needed to correct near-surface drone-towed CSEM\\ndata. The highest measured impact was −46.2 ppm cm−1 for a transmission frequency of 91 kHz. We also observe a significant increase in the\\nstandard deviation of the noise level up to 500 % when going from one transmission frequency to five. We recommend not to use more than three\\ntransmission frequencies, and the lowest transmission frequencies should be as high as the application allows it. Finally, we find a strong\\ntemperature dependency (up to 32.2 ppm∘C-1), which is not accounted for in\\nthe instrumentation.\\n\",\"PeriodicalId\":48742,\"journal\":{\"name\":\"Geoscientific Instrumentation Methods and Data Systems\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2022-12-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geoscientific Instrumentation Methods and Data Systems\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.5194/gi-11-435-2022\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"GEOSCIENCES, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geoscientific Instrumentation Methods and Data Systems","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.5194/gi-11-435-2022","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
Drone-towed controlled-source electromagnetic (CSEM) system for near-surface geophysical prospecting: on instrument noise, temperature drift, transmission frequency, and survey set-up
Abstract. Drone-borne controlled-source electromagnetic (CSEM) systems combine the mobility of airborne systems with the high subsurface resolution in ground
systems. As such, drone-borne systems are beneficial at sites with poor accessibility and in areas where high resolution is needed, e.g. for
archaeological or subsurface pollution investigations. However, drone-borne CSEM systems are associated with challenges, which are not observed to
the same degree in airborne or ground surveys. In this paper, we explore some of these challenges based on an example of a new drone-towed CSEM
system. The system deploys a multi-frequency broadband electromagnetic sensor (GEM-2 uncrewed aerial vehicle, UAV), which is towed 6 m below a drone in a towing-bird
configuration together with a NovAtel GNSS–IMU (global navigation satellite system–inertial measurement unit) unit, enabling centimetre-level position precision and orientation. The results of a number of
controlled tests of the system are presented together with data from an initial survey at Falster (Denmark), including temperature drift, altitude
vs. signal, survey mode signal dependency, and the effect of frequency choice on noise. The test results reveal the most critical issues for our
system and issues that are likely encountered in similar drone-towed CSEM set-ups. We find that small altitude variations (± 0.5 m)
along our flight paths drastically change the signal, and a local height vs. signal correlation is needed to correct near-surface drone-towed CSEM
data. The highest measured impact was −46.2 ppm cm−1 for a transmission frequency of 91 kHz. We also observe a significant increase in the
standard deviation of the noise level up to 500 % when going from one transmission frequency to five. We recommend not to use more than three
transmission frequencies, and the lowest transmission frequencies should be as high as the application allows it. Finally, we find a strong
temperature dependency (up to 32.2 ppm∘C-1), which is not accounted for in
the instrumentation.
期刊介绍:
Geoscientific Instrumentation, Methods and Data Systems (GI) is an open-access interdisciplinary electronic journal for swift publication of original articles and short communications in the area of geoscientific instruments. It covers three main areas: (i) atmospheric and geospace sciences, (ii) earth science, and (iii) ocean science. A unique feature of the journal is the emphasis on synergy between science and technology that facilitates advances in GI. These advances include but are not limited to the following:
concepts, design, and description of instrumentation and data systems;
retrieval techniques of scientific products from measurements;
calibration and data quality assessment;
uncertainty in measurements;
newly developed and planned research platforms and community instrumentation capabilities;
major national and international field campaigns and observational research programs;
new observational strategies to address societal needs in areas such as monitoring climate change and preventing natural disasters;
networking of instruments for enhancing high temporal and spatial resolution of observations.
GI has an innovative two-stage publication process involving the scientific discussion forum Geoscientific Instrumentation, Methods and Data Systems Discussions (GID), which has been designed to do the following:
foster scientific discussion;
maximize the effectiveness and transparency of scientific quality assurance;
enable rapid publication;
make scientific publications freely accessible.