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ShellEye-DEMO: Satellite monitoring for shellfish and finfish aquaculture: Domain expanded; Enhanced resolution; Marine insurance; Other species

ShellEye-DEMO: Satellite monitoring for shellfish and finfish aquaculture: Domain expanded; Enhanced resolution; Marine insurance; Other species
ShellEye-DEMO:贝类和有鳍鱼类水产养殖卫星监测:领域扩大;
批准号:
NE/P011004/1
负责人:
Peter Miller
金额:
$27.66万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2017
资助国家:
英国
项目状态:
已结题
起止时间:
2017 至 --

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中文摘要
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英文摘要
ShellEye-DEMO aims to translate novel satellite-informed techniques for early warning of harmful algae blooms (HABs) and microbiological risks into a unique and viable service to support the sustainability of UK aquaculture. This exploits existing research to identify certain HABs using satellite ocean colour, and the fusion of Earth observation, meteorological and in situ data to infer increased risk of E. coli. The objectives are:1. [D]omain expansion: to involve pilot aquaculture farms in two additional UK regions, and consultation with the largest salmon farms in Scotland, as a route to wider exploitation of the potential benefits of ShellEye's approach.2. [E]nhanced resolution of HAB detection, from 1km to 300m, to improve precision of near-coast and near-farm HAB risk estimation (using latest Sentinel-3 satellite).3. [M]arine insurance: to develop long-term HAB probability maps to assist in insurance risk assessment, and encourage clients to take up satellite early warning to reduce losses.4. [O]ther types of aquaculture, using a customised version of the ShellEye methods to protect the emerging potential of offshore lobster farming.This will be achieved through activities organised into 5 work packages: Stakeholder engagement; Enhanced HAB warning; Microbiological hazard warning for new domains and types; Quantifying HAB risk for marine insurance; and Advanced pilot trial. Partners from the insurance industry, aquaculture farms in three regions, and regulatory organisations, will contribute their time, expertise and data to support the application of our novel methods and engage in real-time trials. Outputs will comprise pilot risk-warning services to address the challenges of satellite monitoring and modelling of dynamic near-coastal environments; and a long-term HAB probability to inform the challenge of assessing insurance risk. Impact will be realised through development and protection of UK aquaculture industries, the quantification of reduced stock losses and recalls, and improved insurance risk assessment enabling lower premiums. All of which will help to boost the UK aquaculture industry and the quality of its produce, and contribute to increased economic gains and food security impacts for the UK. Keywords: Sustainable aquaculture; shellfish; finfish; salmon; harmful algal blooms; E coli; satellite Earth observation; ocean colour; modelling of microbiological hazards.Secured project partner stakeholders:Sunderland Marine Insurance (SMI)National Lobster Hatchery (NLH)Westcountry Mussels Ltd (WCM)Morecambe Bay OystersBangor Mussel Producers LtdCentre for Environment, Fisheries and Aquaculture Science (CEFAS)Food Standards Agency (FSA)Shellfish Association of Great Britain (SAGB)Scottish Salmon Producers' Organisation (SSPO)
期刊论文(5)
专著(0)
科研奖励(0)
会议论文
DOI: 10.3354/aei00265
发表时间: 2018-04-19
期刊: Aquaculture Environment Interactions
影响因子: 2.2
作者: [Schmidt W, Evers-King HL, Campos CJA, Jones DB, Miller PI, Davidson K, Shutler JD]
通讯作者: Shutler JD
DOI: 10.3390/toxins10100399
发表时间: 2018-09-28
期刊: Toxins
影响因子: 4.2
作者: [Swan SC, Turner AD, Bresnan E, Whyte C, Paterson RF, McNeill S, Mitchell E, Davidson K]
通讯作者: Davidson K
DOI: 10.3389/fmars.2021.631732
发表时间: 2021-04-09
期刊: FRONTIERS IN MARINE SCIENCE
影响因子: 3.7
作者: [Davidson, Keith, Whyte, Callum, Swan, Sarah]
通讯作者: Swan, Sarah
DOI: 10.1016/j.hal.2017.09.002
发表时间: 2017-11
期刊: Harmful algae
影响因子: 6.6
作者: [Ruth F. Paterson;S. McNeill;Elaine Mitchell;Thomas L. Adams;Sarah C. Swan;Dave Clarke;P. I. Miller]
通讯作者: Ruth F. Paterson;S. McNeill;Elaine Mitchell;Thomas L. Adams;Sarah C. Swan;Dave Clarke;P. I. Miller
Universality in Nonlinear Waves and Related Topics
A Study of Wave Patterns
Applied Analysis for Integrable Nonlinear Waves
ShellEye: Satellite-based water quality bulletins for shellfish farms to support management decisions
  • 批准号:
    BB/M026698/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $31.96万
  • 财政年份:
    2015
  • 负责人:
    Peter Miller
  • 依托单位:
海外基金