Development of a laser-based sea-ice chlorophyll sensor
开发基于激光的海冰叶绿素传感器
基本信息
- 批准号:NE/H002227/1
- 负责人:
- 金额:$ 23.01万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2010
- 资助国家:英国
- 起止时间:2010 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
We want to build a scientific instrument that can measure the amount of algae growing on the underside of sea ice. Sea-ice algae form the base of many polar marine foodwebs, but data on the mesoscale (tens to hundreds of km) variability in the abundance of algae are lacking because of sampling difficulties. This is hampering efforts to understand sea-ice ecosystem function, and predictions of consequences that ongoing sea-ice melt (due to climatic warming) might have. At present the most reliable way to measure sea-ice algal abundance is to drill holes through the ice from above and collect the algae. This is labour intensive, time consuming and not without risk. In the past 10 years or so autonomous underwater vehicle (AUV; essentially an unmanned, remotely operated submarine) technology has matured to the extent that these vehicles can complete extended (tens to hundreds of km) missions under sea ice, collecting data underway as they do so: we have used AUVs to conduct echosounder surveys of krill under sea ice. We now want to use AUVs to survey sea ice algae, and propose here to build a laser-based instrument to make the algal measurements. The device will basically work by measuring the amount of light reflected back from the underside of sea ice. We expect a quantitative relationship to exist between the amount of algae present (actually the amount of the photosynthesis pigment 'chlorophyll') and the amount of light reflected. In preliminary measurements we have already seen that bare ice reflects laser light differently than ice colonized by algae, so have some practical evidence already that the approach should work. In addition, there is a wealth of published information on the reflectance of light at various wavelengths by algae. We will use this theory to guide instrument development. The instrument will be assembled by a team of talented engineers and technicians who have much experience developing lasers for applied use in hostile environments. Once a prototype instrument is built, we will test it on sea-ice algae grown on sea ice in an experimental facility in Germany (essentially a sea-ice aquarium). We will make measurements of reflectance of laser light of various wavelengths (different colours; blue, green etc) and construct curves showing relationships between chlorophyll concentration and % reflectance. If the prototype instrument works, we will write another grant application for funds to deploy a robustly-housed version on AUVs under sea ice in the Arctic and Antarctic to pursue ecological investigations.
我们想建造一种科学仪器,可以测量生长在海冰下面的藻类数量。海冰藻类是许多极地海洋食物网的基础,但由于取样困难,缺乏关于藻类丰度中尺度(数十至数百公里)变化的数据。这阻碍了对海冰生态系统功能的理解,也阻碍了对海冰融化(由于气候变暖)可能产生的后果的预测。目前,测量海冰藻类丰度最可靠的方法是从上面钻冰孔并收集藻类。这是劳动密集型的、耗时的并且并非没有风险。在过去的10年左右,自主水下航行器(AUV;基本上是一种无人驾驶的远程操作潜艇)技术已经成熟到这种程度,这些车辆可以在海冰下完成扩展(数十至数百公里)任务,收集正在进行的数据:我们已经使用AUV进行回声探测器调查海冰下的磷虾。我们现在想使用AUV来调查海冰藻类,并建议在这里建立一个基于激光的仪器来进行藻类测量。该设备的工作原理是测量从海冰底部反射回来的光量。我们期望存在于藻类数量(实际上是光合作用色素“叶绿素”的数量)和反射的光量之间的定量关系。在初步测量中,我们已经看到裸冰反射激光的方式与藻类定居的冰不同,因此已经有一些实际证据表明这种方法应该有效。此外,有大量关于藻类对各种波长的光的反射率的公开信息。我们将用这个理论来指导仪器的开发。该仪器将由一组才华横溢的工程师和技术人员组装,他们在开发用于恶劣环境的激光器方面经验丰富。一旦原型仪器建成,我们将在德国的一个实验设施(基本上是一个海冰水族馆)的海冰上生长的海冰藻类上进行测试。我们将测量不同波长(不同颜色;蓝色、绿色等)激光的反射率,并绘制曲线,显示叶绿素浓度与反射率%之间的关系。如果原型仪器有效,我们将编写另一份拨款申请,以获得资金,在北极和南极海冰下的AUV上部署坚固的封装版本,以进行生态调查。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Andrew Brierley其他文献
Andrew Brierley的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Andrew Brierley', 18)}}的其他基金
Integrated risk mapping and targeted snail control to support schistosomiasis elimination in Brazil and Cote d'Ivoire under future climate change
综合风险测绘和有针对性的钉螺控制,支持未来气候变化下巴西和科特迪瓦消除血吸虫病
- 批准号:
NE/T013591/1 - 财政年份:2020
- 资助金额:
$ 23.01万 - 项目类别:
Research Grant
Seaquest DSV: a compact Deep-water Sonar and Visual sampler for exploring the marine twilight zone
Seaquest DSV:用于探索海洋暮光区的紧凑型深水声纳和视觉采样器
- 批准号:
NE/T008830/1 - 财政年份:2019
- 资助金额:
$ 23.01万 - 项目类别:
Research Grant
Towards biocontrol of the Neglected Tropical Disease schistosomiasis using monosex prawns
利用单性虾对被忽视的热带病血吸虫病进行生物防治
- 批准号:
BB/T012722/1 - 财政年份:2019
- 资助金额:
$ 23.01万 - 项目类别:
Research Grant
Microbes to Megafauna Modelling of Arctic Seas (MiMeMo)
北冰洋微生物到巨型动物模型 (MiMeMo)
- 批准号:
NE/R012679/1 - 财政年份:2018
- 资助金额:
$ 23.01万 - 项目类别:
Research Grant
Application of Bayesian network inference algorithms for foodweb analysis: evaluating the impact of jellyfish predation on Irish Sea plankton
贝叶斯网络推理算法在食物网分析中的应用:评估水母捕食对爱尔兰海浮游生物的影响
- 批准号:
NE/E010350/1 - 财政年份:2008
- 资助金额:
$ 23.01万 - 项目类别:
Research Grant
Impact of Arctic sea-ice retreat on zooplankton foraging behaviour and vertical carbon flux
北极海冰退缩对浮游动物觅食行为和垂直碳通量的影响
- 批准号:
NE/F012381/1 - 财政年份:2008
- 资助金额:
$ 23.01万 - 项目类别:
Research Grant
相似国自然基金
基于激光与管电极电解同步复合(Laser-STEM)的低损伤大深度小孔加工技术基础研究
- 批准号:51905525
- 批准年份:2019
- 资助金额:26.0 万元
- 项目类别:青年科学基金项目
长链非编码RNA lnc-LASER通过HNF-1α-PCSK9 调控肝脏胆固醇平衡的机制研究
- 批准号:81600343
- 批准年份:2016
- 资助金额:17.5 万元
- 项目类别:青年科学基金项目
基于康普顿散射的高精度束流截面测量方法的研究
- 批准号:11175196
- 批准年份:2011
- 资助金额:72.0 万元
- 项目类别:面上项目
全固态钠黄光激光器波长调控与锁定技术研究
- 批准号:60508013
- 批准年份:2005
- 资助金额:23.0 万元
- 项目类别:青年科学基金项目
化石硅藻微构造与古环境和古气候研究
- 批准号:40442004
- 批准年份:2004
- 资助金额:10.0 万元
- 项目类别:专项基金项目
相似海外基金
Laser-Plasma Based X-Ray Source Development With Applications In Inertial Fusion
基于激光等离子体的 X 射线源开发及其在惯性聚变中的应用
- 批准号:
2884240 - 财政年份:2023
- 资助金额:
$ 23.01万 - 项目类别:
Studentship
Development of Understanding of the effects of Laser Cladding on Novel Iron- Based Hardfacing Materials
激光熔覆对新型铁基硬面材料影响的理解进展
- 批准号:
2899577 - 财政年份:2023
- 资助金额:
$ 23.01万 - 项目类别:
Studentship
Development of laser-based Mass Spectrometry devices for accelerated cancer pathology assessment
开发基于激光的质谱设备以加速癌症病理学评估
- 批准号:
535056-2019 - 财政年份:2021
- 资助金额:
$ 23.01万 - 项目类别:
Alexander Graham Bell Canada Graduate Scholarships - Doctoral
Development and evaluation of a forest mapping solution based on multispectral laser scanning
基于多光谱激光扫描的森林测绘解决方案的开发和评估
- 批准号:
566305-2021 - 财政年份:2021
- 资助金额:
$ 23.01万 - 项目类别:
Applied Research and Development Grants - Level 1
Development of all-optical active mode-locked fiber laser based on nonlinear optical loop mirror
基于非线性光学环镜的全光主动锁模光纤激光器的研制
- 批准号:
21K04933 - 财政年份:2021
- 资助金额:
$ 23.01万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Development of laser-based Mass Spectrometry devices for accelerated cancer pathology assessment
开发基于激光的质谱设备以加速癌症病理学评估
- 批准号:
535056-2019 - 财政年份:2020
- 资助金额:
$ 23.01万 - 项目类别:
Postgraduate Scholarships - Doctoral
Development of the first label-free and high-throughput, cell-based assay that reports on specific enzyme activities
开发第一个无标记、高通量、基于细胞的检测方法,报告特定的酶活性
- 批准号:
10212346 - 财政年份:2020
- 资助金额:
$ 23.01万 - 项目类别:
Development of the first label-free and high-throughput, cell-based assay that reports on specific enzyme activities
开发第一个无标记、高通量、基于细胞的检测方法,报告特定的酶活性
- 批准号:
10076910 - 财政年份:2020
- 资助金额:
$ 23.01万 - 项目类别:
Development of high-precision classification technology for standing trees by integrating next-generation airborne and ground based laser scanning
集成新一代机载和地面激光扫描,开发立木高精度分类技术
- 批准号:
20H03025 - 财政年份:2020
- 资助金额:
$ 23.01万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
Development of broadleaved forest measurement technology at the individual tree level using UAV-based laser and multispectral data
利用无人机激光和多光谱数据开发单树阔叶林测量技术
- 批准号:
19K15870 - 财政年份:2019
- 资助金额:
$ 23.01万 - 项目类别:
Grant-in-Aid for Early-Career Scientists