Detection and localisation of radioactive environmental anomalies using aerial radiometric surveying

利用航空辐射测量检测和定位放射性环境异常

• 批准号: 1792927
• 金额: --
• 依托单位: University of Bristol
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2016
• 资助国家: 英国
• 起止时间: 2016 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-1792927
• 关键词: Detection; localisation; radioactive; environmental; anomalies

The project is to develop methodologies and protocols for the use of Mobile radiationmapping technologies to identify anomalies. It is specifically aimed at developingmethodologies for the identification of valuable ore bodies using both aerial and groundbased techniques.Accordingly the project will involve a significant element of fieldwork based mainly in thesouthwest UK but also seeking to conduct research in one of more other countries. This willpotentially include Somaliland, Romania, Japan (Fukushima) and Portugal.The project will make use of multi-rotor UAV radiation mapping systems developed byBristol and the commercialised by Imitec Ltd (a UoB spin-out) along with car and backpackbased variants they have also developed. As part of the project the PhD student will learn tofly UAVs and gain CAA qualification.A key aspect of the project is to develop a next generation radiation mapping technologywhereby radiation data is combined with accurate terrain data gained by LiDAR to provide amore accurate representation of the true radiation field. This technology may then be appliedto nuclear site monitoring as well as the identification of near surface ore bodies that carry aradiometric signature.We will use fieldwork at home and abroad to develop a suite of high quality datasetscombining LiDAR and Radiation data. Subsequently these data sets will act as test data forthe development of some specialist software for inverse modelling the most likely solutionfor the 'true' radiation field at each given site. We will also use the UoB test facility atFenswood Farm (just south of Bristol) to establish some smaller scale tests with complicatedgeometries and shine paths.Furthermore we will also apply to the NERC ARF programme to gain access to a fixed wingaircraft to provide comparative higher altitude data against our low altitude UAV surveys.Already we have submitted a proposal to conduct a survey across the west Mendip hills,where significant mineralisation is known to have occurred along with at least oneradiological hot spot.By comparing radiation data from aircraft, UAVs, cars and backpacks all for the same area,we will seek to develop new methodologies and protocols for rapid surveying (prospecting)of a target area.

该项目旨在制定使用移动的辐射测绘技术查明异常现象的方法和规程。该项目的具体目标是开发利用空中和地面技术识别有价值矿体的方法。因此，该项目将涉及大量的实地工作，主要在英国南部进行，但也寻求在其他国家进行研究。该项目将利用布里斯托尔开发的多旋翼无人机辐射测绘系统和Imitec有限公司（UoB分拆）的商业化系统，沿着他们开发的汽车和背包变体。作为该项目的一部分，博士生将学习驾驶无人机并获得CAA资格。该项目的一个关键方面是开发下一代辐射测绘技术，将辐射数据与激光雷达获得的精确地形数据相结合，以提供更准确的真实辐射场表示。该技术可应用于核场址监测以及具有辐射特征的近地表矿体的识别，我们将利用国内外的野外工作，开发一套高质量的LiDAR和辐射数据相结合的探测器。随后，这些数据集将作为测试数据，用于开发一些专业软件，用于对每个特定地点的“真实”辐射场进行最有可能的解进行逆向建模。我们还将使用芬斯伍德农场的UoB测试设施（就在布里斯托南部）建立一些具有复杂几何形状和照射路径的小规模试验。此外，我们还将申请NERC ARF计划，以获得固定翼飞机，以提供与我们的低空无人机调查相比的更高高度数据。我们已经提交了一份在西门迪普丘陵进行调查的建议，通过比较同一地区的飞机、无人机、汽车和背包的辐射数据，我们将寻求开发新的方法和协议，以快速勘测（勘探）目标地区。

项目成果

Validation of a novel radiation mapping platform for the reduction of operator-induced shielding effects.

验证新型辐射测绘平台，以减少操作员引起的屏蔽效应。

• DOI: 10.1088/1361-6498/aad5f2
• 发表时间: 2018
• 期刊: official journal of the Society for Radiological Protection
• 作者: Martin PG

Airborne radiation mapping: overview and application of current and future aerial systems

• DOI: 10.1080/01431161.2016.1252474
• 发表时间: 2016-01-01
• 期刊: INTERNATIONAL JOURNAL OF REMOTE SENSING
• 影响因子: 3.4
• 作者: Connor, D.;Martin, P. G.;Scott, T. B.
• 通讯作者: Scott, T. B.

Multiscale UAS Radiation Mapping Within the Chernobyl Exclusion Zone (CEZ).

切尔诺贝利禁区 (CEZ) 内的多尺度 UAS 辐射测绘。

• DOI: 10.5194/egusphere-egu2020-5327
• 发表时间: 2020
• 作者: Connor D

Radiological Mapping of Post-Disaster Nuclear Environments Using Fixed-Wing Unmanned Aerial Systems: A Study From Chornobyl.

• DOI: 10.3389/frobt.2019.00149
• 发表时间: 2019
• 期刊: Frontiers in robotics and AI
• 影响因子: 3.4
• 作者: Connor DT;Wood K;Martin PG;Goren S;Megson-Smith D;Verbelen Y;Chyzhevskyi I;Kirieiev S;Smith NT;Richardson T;Scott TB
• 通讯作者: Scott TB

Exploring Offshore Hydrothermal Venting Using Low-Cost ROV and Photogrammetric Techniques: A Case Study from Milos Island, Greece

• DOI: 10.20944/preprints201710.0014.v1
• 发表时间: 2017-10
• 期刊: PeerJ
• 影响因子: 2.7
• 作者: Jonathan Teague;J. Miles;D. Connor;Evie Priest;T. Scott;J. Naden;P. Nomikou