PFI:BIC A Smart Service System (ESPnet) for Enhanced Monitoring and Management of Toxic Algal Blooms

PFI：BIC 用于加强有毒藻华监测和管理的智能服务系统 (ESPnet)

• 批准号: 1534054
• 负责人: Donald Anderson
• 金额: $ 100万
• 依托单位: Woods Hole Oceanographic Institution
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-10-01 至 2021-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1534054&HistoricalAwards=false
• 关键词: PFI; BIC; Smart; Service; System

This Partnerships for Innovation: Building Innovation Capacity (PFI:BIC) project addresses a significant and growing societal problem: toxic or harmful algal blooms (HABs), commonly called "red tides". Every year, millions of dollars are lost due to red tides and HABs throughout the US and the world. Losses can be direct, such as human illnesses and deaths from the consumption of contaminated food or the mortality of fish and shellfish resources, or indirect, such as the avoidance of all seafood products during red tides, even products that are safe. Management of areas threatened by HAB toxins currently involves monitoring programs that rely on weekly flesh-testing of shellfish collected from many locations along a coast. These programs are expensive, slow, providing protection through conservative harvesting closure policies that have not changed for decades. Red tide management can be greatly improved through the use of technological advances such as the Environmental Sample Processor (ESP), a submersible, self-contained "laboratory-in-a-can" that collects water samples and identifies molecules or genes that indicate the presence of hazardous species of algae. ESPs operate autonomously for months and transmit data, including environmental conditions, to shore. The goal of this project is to develop and demonstrate ESPnet, a system that will utilize these novel biosensors to provide environmental awareness and decision support capabilities for resource managers charged with protecting public health and the viability of fisheries industries and tourism from toxic HABs. This system is transformational, as it applies a new sensor technology to a major resource management problem that is currently addressed through monitoring programs that are expensive, slow, and outdated. No other service system of this type currently exists for managing HABs, microbial pathogens, or other water-borne diseases or problems.ESPnet will be based on a network of ESPs that will supply real-time, high-frequency HAB surveillance information through a web portal complete with automated data analysis and visualization tools, allowing managers to view the coastal environment with unprecedented detail so they can act decisively and effectively. The three-year project will include field deployments of multiple ESPs at key locations along the Gulf of Maine (GOM) coast. The project team will work with their industry partner, McLane Research Laboratories, to modify ESP hardware and software to reduce power consumption and extend deployments to fully sample the HAB season in the GOM. Meeting the overall goal of this project requires a development effort to fully automate ESP data analysis and to merge that with geospatially rendered environmental measurements; this system must be tailored to non-experts and available via a user-friendly data portal. Human factors will be addressed through identification of user groups and characterization of receptivities to the new system, optimization of the manner in which system information is supplied to users, characterization of feedback among user groups, and estimation of economic costs and benefits from the ESPnet technology. This project addresses fundamental issues underlying management of the most widespread of all HAB poisoning syndromes--paralytic shellfish poisoning or PSP. Project activities thus have important societal benefits. The ESPnet concept can be applied to PSP problems elsewhere in the U.S., as well as to other HAB poisoning syndromes, and to a host of non-HAB problems that affect water quality, such as viruses and microbial pathogens. This project therefore satisfies the criterion "fostering connections between discoveries and their use in the service of society". This project has extensive undergraduate and graduate training, as multiple students and interns will be involved. Project results will be broadly disseminated through scientific papers, workshop and conference presentations, and discussions with the media. This project thus meets NSF's Broader Impact Criterion II through "advancing discovery in understanding while promoting teaching, training, and learning".Primary partners include Lead institution: Woods Hole Oceanographic Institution, Biology Department and Marine Policy Center (non-profit research and educational institution); Industrial partner: McLane Research Laboratories (Falmouth, MA; small minority-owned business); Academic partner: Monterey Bay Aquarium Research Institute (Moss Landing, CA; non-profit). Broader Context Partners include Northeast Regional Association for Coastal Ocean Observing Systems (NERACOOS; Portsmouth, NH; regional association); Maine Department of Marine Resources (W. Boothbay Harbor, ME; state agency); New Hampshire Department of Environmental Services (Concord, NH; state agency); Massachusetts Division of Marine Fisheries (New Bedford, MA; state agency).

创新伙伴关系：建设创新能力（PFI:BIC）项目解决了一个重要且日益严重的社会问题：有毒或有害的藻华（HABs），通常被称为“赤潮”。每年，由于美国和世界各地的赤潮和赤潮，数百万美元的损失。损失可以是直接的，例如人类因食用受污染的食物而患病和死亡，或鱼类和贝类资源死亡，也可以是间接的，例如在赤潮期间避免食用所有海鲜产品，即使是安全的产品。目前，对受有害藻华毒素威胁地区的管理包括监测项目，该项目依赖于每周对从沿海许多地点收集的贝类进行肉测试。这些项目昂贵、缓慢，通过保守的采伐关闭政策提供保护，几十年来一直没有改变。通过使用诸如环境样本处理器（ESP）之类的先进技术，可以大大改善赤潮管理。ESP是一种可潜水的、独立的“罐中实验室”，可以收集水样并识别表明存在有害藻类的分子或基因。esp可以自主运行数月，并将包括环境状况在内的数据传输到岸上。该项目的目标是开发和示范ESPnet系统，该系统将利用这些新型生物传感器，为负责保护公众健康、渔业和旅游业免受有毒有害藻华影响的资源管理人员提供环境意识和决策支持能力。该系统具有变革性，因为它将一种新的传感器技术应用于当前通过昂贵、缓慢和过时的监控程序解决的主要资源管理问题。目前还没有其他这种类型的服务系统来管理有害藻华、微生物病原体或其他水传播疾病或问题。ESPnet将基于一个esp网络，该网络将通过一个门户网站提供实时、高频的赤潮监测信息，并配有自动数据分析和可视化工具，使管理人员能够以前所未有的细节查看沿海环境，以便他们能够果断有效地采取行动。这个为期三年的项目将包括在缅因湾（GOM）沿岸的关键地点部署多个esp。项目团队将与行业合作伙伴McLane Research Laboratories合作，修改ESP硬件和软件，以降低功耗，并延长部署时间，以充分采样墨西哥湾的HAB季节。为了实现该项目的总体目标，ESP数据分析需要完全自动化，并将其与地理空间呈现的环境测量相结合。该系统必须适合非专家，并可通过用户友好的数据门户获得。人为因素将通过确定用户组和描述对新系统的接受程度、优化向用户提供系统信息的方式、描述用户组之间的反馈以及估计ESPnet技术的经济成本和效益来解决。该项目解决了所有有害藻华中毒综合征中最普遍的麻痹性贝类中毒或PSP的基本管理问题。因此，项目活动具有重要的社会效益。ESPnet的概念可以应用于美国其他地方的PSP问题，以及其他有害藻华中毒综合征，以及许多影响水质的非有害藻华问题，如病毒和微生物病原体。因此，该项目满足了“促进发现之间的联系及其在社会服务中的应用”的标准。这个项目有广泛的本科生和研究生培训，因为多个学生和实习生将参与其中。项目成果将通过科学论文、讲习班和会议发言以及与媒体的讨论广泛传播。因此，该项目通过“在促进教学、培训和学习的同时促进理解的发现”满足了NSF的更广泛影响标准II。主要合作伙伴包括牵头机构：伍兹霍尔海洋研究所、生物系和海洋政策中心（非营利性研究和教育机构）；工业合作伙伴：麦克莱恩研究实验室（法尔茅斯，马萨诸塞州；小型少数族裔企业）；学术合作伙伴：蒙特利湾水族馆研究所（Moss Landing， CA；非营利性）。更广泛的伙伴包括东北沿海海洋观测系统区域协会（NERACOOS；新罕布什尔州朴茨茅斯；区域协会）；缅因州海洋资源部（W. Boothbay Harbor，缅因州；州立机构）；新罕布什尔州环境服务部（康科德，新罕布什尔州；州机构）；马萨诸塞州海洋渔业局（新贝德福德，马萨诸塞州；国家机构）。