MOSAIC Digital Environment Feasibility Study

MOSAIC数字环境可行性研究

基本信息

  • 批准号:
    NE/T005734/1
  • 负责人:
  • 金额:
    $ 17.17万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2019
  • 资助国家:
    英国
  • 起止时间:
    2019 至 无数据
  • 项目状态:
    已结题

项目摘要

There is growing awareness of the hazards arising from space weather which are now listed on the UK National Risk Register (Cabinet Office, 2018). One significant risk is created by 'hard' solar particle events containing a significant flux of highly energetic particles which can lead to corruption and damage in modern microelectronic technology at ground level. In general such solar events are detectable at the earth's surface by ground level neutron monitors and are termed ground level enhancements (GLEs): they typically have durations of some hours and the most intense ever measured was in February 1956 in the UK. Prior to the 1940s however we have only indirect measurements of GLEs from ice cores and tree rings (Miyake et al, 2012; Mekhaldi et al, 2015). Results on 10Be, 36Cl and 14C show events some 30 times larger than February 1956 in AD774 and 15 times larger in AD994. In today's technological society GLEs present a hazard to complex systems, such as autonomous vehicles, railways, nuclear power stations and especially aircraft (including unmanned aerial platforms) which are by far the most exposed. At present the UK has no ground level neutron measurement capability as this was abandoned in the 1980s. The main objective of the Moisture Sensors for Atmospheric Ionising Collaboration (MOSAIC) project is to study dual-purposing the UK COSMOS soil moisture sensor network to provide an unprecedented, high-density, sustainable and cost-effective UK space weather measurement capability to provide real-time alerts for critical infrastructure as well as enabling new environmental science. COSMOS is a relatively new and expanding network of sensors and there are now nearly 50 detectors across the UK operated by the NERC Centre for Ecology and Hydrology (CEH). Neutrons generated by cosmic-rays high in the atmosphere can reach ground level, some of which will be reflected dependent on the soil moisture content: COSMOS stations measure the reflected neutrons to determine average soil moisture over the local area. Besides studying the prospect of operational warnings for infrastructure (including aviation) there is an opportunity to create a long term record of ground level neutron radiation in the UK which can be the basis of better environmental models and improved risk assessments for government. The study examine COSMOS sensitivity to GLEs along with the digital network feasibility issues which would arise when dual-purposing the network. An initial priority is to examine the practicality of significantly higher temporal resolution which will be needed for MOSAIC given that GLE rise times can be of the order of minutes. We will examine the feasibility of achieving very rapid communication of data from the sensors to the centre(s) where decisions are taken on the need to issue alerts and how long this might take. It is likely that the geographical diversity and distributed nature of the COSMOS digital network could offer significant benefits for robustness via the inherent redundancy compared to conventional 'single point' monitors. To assist this work the Met Office will act as the primary 'user' of the system and will advise on their data distribution and processing requirements and we will investigate how artificial intelligence can better distinguish the wanted signal and enhance decision accuracy. We will also investigate how MOSAIC can be integrated with the Surrey Smartphone Atmospheric Ionising RAdiation network or SAIRA which has already demonstrated a citizen science approach to obtain complementary radiation data from aircraft.
人们越来越意识到太空天气造成的危害,这些危害现已列入英国国家风险登记册(内阁办公室,2018 年)。一个重大风险是由包含大量高能粒子的“硬”太阳粒子事件造成的,这可能导致地面现代微电子技术的损坏和损坏。一般来说,此类太阳事件可以通过地面中子监测器在地球表面检测到,并被称为地面增强(GLE):它们通常持续几个小时,有史以来测量到的最强烈的一次是在 1956 年 2 月在英国。然而,在 20 世纪 40 年代之前,我们仅对冰芯和树木年轮的 GLE 进行了间接测量(Miyake 等人,2012 年;Mekhaldi 等人,2015 年)。 10Be、36Cl 和 14C 的结果显示,AD774 中的事件比 1956 年 2 月大约 30 倍,AD994 中的事件大约 15 倍。在当今的技术社会中,GLE 对复杂系统构成了危害,例如自动驾驶车辆、铁路、核电站,尤其是迄今为止暴露程度最高的飞机(包括无人机平台)。目前英国没有地面中子测量能力,因为该能力已于 20 世纪 80 年代被放弃。大气电离协作湿度传感器 (MOSAIC) 项目的主要目标是研究英国 COSMOS 土壤湿度传感器网络的双重用途,以提供前所未有的、高密度、可持续且具有成本效益的英国空间天气测量能力,以提供真实的-关键基础设施的时间警报以及新的环境科学。 COSMOS 是一个相对较新且不断扩展的传感器网络,目前英国各地有近 50 个探测器,由 NERC 生态和水文中心 (CEH) 运营。大气层高处的宇宙射线产生的中子可以到达地面,其中一些中子将根据土壤湿度含量进行反射:COSMOS 站测量反射的中子,以确定当地区域的平均土壤湿度。除了研究基础设施(包括航空)运行警告的前景外,还有机会创建英国地面中子辐射的长期记录,这可以作为更好的环境模型和改进政府风险评估的基础。该研究考察了 COSMOS 对 GLE 的敏感性以及网络双重用途时可能出现的数字网络可行性问题。首要任务是检查 MOSAIC 所需的显着更高的时间分辨率的实用性,因为 GLE 上升时间可能为几分钟。我们将研究实现从传感器到中心的非常快速的数据通信的可行性,中心决定是否需要发出警报以及这可能需要多长时间。与传统的“单点”监视器相比,COSMOS 数字网络的地理多样性和分布式特性可能会通过固有的冗余为稳健性提供显着的优势。为了协助这项工作,英国气象局将充当该系统的主要“用户”,并就其数据分发和处理要求提供建议,我们将研究人工智能如何更好地区分所需信号并提高决策准确性。我们还将研究 MOSAIC 如何与萨里智能手机大气电离辐射网络或 SAIRA 集成,该网络已经展示了一种公民科学方法,可以从飞机上获取补充辐射数据。

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Detecting Ground Level Enhancements Using Soil Moisture Sensor Networks
使用土壤湿度传感器网络检测地面水平的增强
  • DOI:
    10.1029/2021sw002800
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    3.7
  • 作者:
    Hands A
  • 通讯作者:
    Hands A
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Keith Andrew Ryden其他文献

Keith Andrew Ryden的其他文献

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{{ truncateString('Keith Andrew Ryden', 18)}}的其他基金

Spacecraft Charging Instrument Development
航天器充电仪器开发
  • 批准号:
    ST/Y004752/1
  • 财政年份:
    2023
  • 资助金额:
    $ 17.17万
  • 项目类别:
    Research Grant
SWIMMR Aviation Risk Modelling (SWARM)
SWIMMR 航空风险建模 (SWARM)
  • 批准号:
    NE/V002899/1
  • 财政年份:
    2020
  • 资助金额:
    $ 17.17万
  • 项目类别:
    Research Grant
Single Event Effects in Ground Level Infrastructure
地面基础设施中的单粒子效应
  • 批准号:
    NE/R008930/1
  • 财政年份:
    2017
  • 资助金额:
    $ 17.17万
  • 项目类别:
    Research Grant

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项目 2:DNA 损伤反应在基因毒性应激后克隆竞争中的作用
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  • 财政年份:
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MOSAIC Digital Environment Feasibility Study
MOSAIC数字环境可行性研究
  • 批准号:
    NE/T005637/1
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MOSAIC数字环境可行性研究
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Detection of somatic, subclonal and mosaic CNVs from sequencing
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  • 批准号:
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  • 财政年份:
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  • 资助金额:
    $ 17.17万
  • 项目类别:
Detection of somatic, subclonal and mosaic CNVs from sequencing
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  • 批准号:
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