RII Track-1: Rhode Island Consortium for Coastal Ecology Assessment, Innovation, and Modeling

RII Track-1：罗德岛州沿海生态评估、创新和建模联盟

基本信息

批准号：
1655221
负责人：
Geoffrey Bothun
金额：
$ 1900万
依托单位：
University of Rhode Island
依托单位国家：
美国
项目类别：
Cooperative Agreement
财政年份：
2017
资助国家：
美国
起止时间：
2017-09-01 至 2024-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1655221&HistoricalAwards=false
关键词：
RII Track Rhode Island Consortium

项目摘要

Non-technical DescriptionThe University of Rhode Island (URI) will establish the Consortium for Coastal Ecology Assessment, Innovation, and Modeling (C-AIM) to coordinate research, education, and workforce development across Rhode Island (RI) in coastal marine science and ecology. C-AIM addresses fundamental research questions using observations, computational methods, and technology development applied to Narraganset Bay (NB), the largest estuary in New England and home to important ecosystem services including fisheries, recreation, and tourism. The research will improve understanding of the microorganisms in NB, develop new models to predict pollution and harmful algal bloom events in NB, build new sensors for nutrients and pollutants, and provide data and tools for stakeholders in the state. Observational capabilities will be coordinated in an open platform for researchers across RI; it will provide real-time physical, chemical, and biological observations ? including live streaming to mobile devices. C-AIM will also establish the RI STEAM (STEM + Art) Imaging Consortium to foster collaboration between artists, designers, engineers, and scientists. Research internships will be offered to undergraduate students throughout the state and seed funding for research projects will be competitively awarded to Primarily Undergraduate Institution partners.Technical Description C-AIM will employ observations and modeling to assess interactions between organisms and ecosystem function in NB and investigate ecological responses to environmental events, such as hypoxia and algal blooms. Observations of the circulation, biogeochemistry, and ecosystem will be made using existing and new instrument platforms. The Bay Observatory ? a network of observational platforms around NB - will be networked to trigger enhanced water sampling and sensing during specific environmental events, such as hypoxic conditions or phytoplankton blooms. Biogeochemical, ecological, and coastal circulation models will be integrated and coupled to focus on eutrophication and pollutant loading. Data and models will be integrated on multiple scales, from individual organisms and trophic interactions to food-web responses, and from turbulence to the regional ocean circulation. New sensing technologies for nutrients and pollutants will be developed, including affordable, micro-fluidic (Lab-on-a-Chip) devices with antifouling capabilities. The results will be synthesized and communicated to stakeholders.

非技术描述，罗德岛大学（URI）将建立沿海生态评估，创新和建模（C-AIM）的财团，以协调沿海海洋科学与生态学的罗德岛州（RI）的研究，教育和劳动力发展。 C-AIM使用观测值，计算方法和技术开发解决了基本的研究问题，该问题应用于Narraganset Bay（NB），Narraganset Bay（NB）是新英格兰最大的河口，也是重要的生态系统服务的所在地，包括渔业，娱乐和旅游业。该研究将提高对NB中微生物的了解，开发新的模型来预测NB中的污染和有害的藻华事件，为营养和污染物建立新的传感器，并为该州的利益相关者提供数据和工具。观察能力将在RI的研究人员的开放平台中协调；它将提供实时的物理，化学和生物学观察结果？包括直播到移动设备。 C-AIM还将建立RI Steam（STEM + ART）成像联盟，以促进艺术家，设计师，工程师和科学家之间的合作。研究实习将提供给全州的本科生和研究项目的种子资金，将竞争性地授予主要的本科机构合作伙伴。技术描述C-AIM将采用观察和建模来评估生物体与NB生态系统功能之间的相互作用，并调查对环境事件的生态反应，并对诸如Hypoxia和Algal blomes等环境事件进行研究。将使用现有和新的仪器平台进行循环，生物地球化学和生态系统的观察。海湾天文台？ NB周围的观察平台网络将在特定的环境事件（例如低氧条件或浮游植物开花）期间触发增强的水采样和感测。生物地球化学，生态和沿海循环模型将被整合并耦合，以专注于富营养化和污染物负荷。数据和模型将集成在多个尺度上，从单个生物和营养相互作用到食物 - web反应，从湍流到区域海洋循环。将开发针对营养素和污染物的新的传感技术，包括具有防污功能的负担得起的微氟（Lab-A-A-Chip）设备。结果将合成并传达给利益相关者。

项目成果

期刊论文数量（149）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

A Review of Tunable Wavelength Selectivity of Metamaterials in Near-Field and Far-Field Radiative Thermal Transport.

DOI：
10.3390/ma11050862
发表时间：
2018-05-22
期刊：
Materials (Basel, Switzerland)
影响因子：
0
作者：
Tian Y;Ghanekar A;Ricci M;Hyde M;Gregory O;Zheng Y
通讯作者：
Zheng Y

Blue crab (Callinectes sapidus) population structure in southern New England tidal rivers: Patterns of shallow-water, unvegetated habitat use and quality.

DOI：
10.1007/s12237-020-00867-1
发表时间：
2021-07
期刊：
Estuaries and coasts : journal of the Estuarine Research Federation
影响因子：
0
作者：
Taylor DL;Fehon MM
通讯作者：
Fehon MM

Parameterization of ocean surface wave-induced mixing using Large Eddy Simulations (LES) II

使用大涡模拟 (LES) II 对海洋表面波引起的混合进行参数化

DOI：
10.1016/j.dsr2.2022.105167
发表时间：
2022
期刊：
Deep Sea Research Part II: Topical Studies in Oceanography
影响因子：
0
作者：
Wang, Haili;Dong, Changming;Fox-Kemper, Baylor;Li, Qing;Yang, Yongzeng;Chen, Xu;Lim Kam Sian, Kenny T.C.
通讯作者：
Lim Kam Sian, Kenny T.C.

Incorporating human behaviour into Earth system modelling