Lake Cyanobacterial Harmful Algal Bloom Mapping and Analysis Platform (CHAB-MAP)

湖蓝藻有害藻华绘图与分析平台（CHAB-MAP）

• 批准号: 9044013
• 负责人: Nathan Torbick
• 金额: $ 15.07万
• 依托单位: APPLIED GEOSOLUTIONS, LLC
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-01-15 至 2017-09-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9044013
• 关键词: Access to Information; Address; Alanine; Algorithms; Amyotrophic Lateral Sclerosis; Attention; Big Data; Brain; Cessation of life; Chlorophyll; Clinic; Cloud Service; Color; Consensus; Cyanobacterium; Data; Decision Making; Detection; Disease; Familial Amyotrophic Lateral Sclerosis; Frequencies; Fresh Water; Genes; Genetic; Health; Imagery; Improve Access; Incidence; Internet; Light; Link; Lipopolysaccharides; Location; Maps; Monitor; Motor Neurons; Muscle Spasticity; Muscular Atrophy; Mutation; Neurodegenerative Disorders; Neurology; Neurotoxins; New England; Ohio; Optics; Pathologic; Patients; Population; Public Health; Public Health Applications Research; Reporting; Research; Research Institute; Risk Assessment; Role; Small Business Innovation Research Grant; Spinal Cord; Tablets; Techniques; Temperature; Testing; Time; Toxic effect; Toxin; United States National Aeronautics and Space Administration; Update; Water; Work; climate change; cloud based; crowdsourcing; data access; design; disabling symptom; gene environment interaction; handheld mobile device; harmful algal blooms; image processing; innovation; innovative technologies; lifetime risk; microcystin; mobile application; neurotoxic; remote sensing; support tools; terabyte; tool; water quality; web services

 DESCRIPTION (provided by applicant): Concern over toxins and public health threats resulting from Cyanobacterial Harmful Algal Blooms (CHABs) have gained attention as reoccurring and seasonal blooms persist in many waters. It has also been suggested that climate change is increasing the frequency, intensity, and duration of CHABs. Broadly, cyanotoxins can be described as having negative health impacts and can be grouped into neurotoxic, lipopolysaccharides, or hepatotoxic such as microcystins which tend to be the most frequently reported. The neurotoxin β-N-methylamino-L-alanine (BMAA) can be produced by cyanobacteria and have been associated with CHABs and Amyotrophic lateral sclerosis (ALS) clusters across northern New England (Caller et al 2009, Torbick et al 2014, Banack 2015). The magnitude and complexity of CHABs in our freshwater lakes requires innovative technologies and multiscale analysis for detection, understanding, forecasting, and mitigating public health threats. Specifically, during this SBIR we partner with Cleveland Clinic and the ALS Research Center to evaluate linkages between Lake Erie CHABs and ALS cases). ALS is a progressive, fatal neurodegenerative disease with a lifetime risk of 1 in 400. The pathologic hallmark of ALS is the selective death of motor neurons in the brain and spinal cord, producing debilitating symptoms of progressive weakness, muscle wasting and spasticity. Mutations in genes underlying familial ALS (fALS) have been discovered in only 5-10% of the total population of ALS patients. Approximately 90% of ALS cases have no known genetic cause; this group is commonly called sporadic ALS (sALS). There is a broad scientific consensus that ALS is caused by gene-environment interactions. Evidence has shown potential linkages between water quality, cyanobacteria, and high ALS incidence. Decision Support Tools (DSTs) that integrate satellite remote sensing, web and cloud services, and mobile devices (e.g., phones, tablets) offer the capability to monitor CHABs at spatial and temporal scales not achievable by discrete point observations or traditional techniques. For CHAB detection, bio-optical algorithms use color remote sensing data to convert observed spectral light information into geophysical products, such as chlorophyll-a and phycocyanin concentration maps. Remote sensing can detail attributes over space, time and characterize location, duration, intensity, and frequency. The amount of historical satellite imagery is now thousands of terabytes, presenting data handling challenges for all but the most technically capable end users. Real time image processing flows, integration of mobile devices and crowd sourcing, and public health warning and forecasting tools are unobtainable for most applications due to technical challenges. Proposed Innovation: We propose to design, build, and operate a 'Cloud-based Lake Cyanobacterial Harmful Algal Bloom Mapping and Analysis Platform (CHAB-MAP) for supporting public health risk assessment'. The tool will automate the mapping and analysis of relevant satellite remote sensing data and real time imagery updates for mapping and analyzing CHAB metrics derived from MODIS, MERIS/Sentiel-3, and Landsat. Mobile apps and crowd sourcing tools will be designed in partnership with NOAA GLERL and EPA to improve access to information, decision making, and data gathering. In this SBIR we work closely with Cleveland Clinic to address the role of cyanotoxins and ALS in Ohio. Specific Aim #1: Design and apply BigData approaches and generate historical and real time MODIS (2001 - present), MERIS (2002-2012), and Landsat (1984 - present) Lake Erie CHABs metrics including chl-a, phycocyanin, and water temperature working with NOAA GLERL, NASA, and EPA partners Specific Aim #2: Design, test, and identify optimal web and cloud framework for managing, visualization, plotting tools, managing tabular data, and accessing products using web and mobile packages Specific Aim #3: Work in partnership with Cleveland Clinic (and Dr. Erik Pioro; Barry Winovich Chair for ALS Research in the Lerner Research Institute and director of the section of ALS in the Dept of Neurology) to assess the role of CHABs and cyanotoxins in ALS in northern and central Ohio. Grow other applications investigating neurodegenerative diseases and disorders potentially linked to CHABs

 描述（由申请人提供）：由于许多沃茨中持续存在重复性和季节性水华，因此对蓝藻有害藻类水华（CHAB）造成的毒素和公共卫生威胁的担忧已引起关注。也有人认为，气候变化正在增加CHAB的频率，强度和持续时间。广泛地说，蓝藻毒素可被描述为具有负面健康影响，并可分为神经毒性、脂多糖或肝毒性，如微囊藻毒素，这往往是最常见的报告。神经毒素β-N-甲氨基-L-丙氨酸（BMAA）可由蓝细菌产生，并与北方新英格兰的CHAB和肌萎缩侧索硬化症（ALS）集群相关（Caller et al 2009，Torbick et al 2014，Banack 2015）。我们淡水湖泊中CHAB的规模和复杂性需要创新技术和多尺度分析来检测，理解，预测和减轻公共卫生威胁。具体来说，在SBIR期间，我们与克利夫兰诊所和ALS研究中心合作，评估伊利湖CHAB和ALS病例之间的联系。ALS是一种进行性、致命的神经退行性疾病，终生风险为1/400。ALS的病理标志是脑和脊髓中运动神经元的选择性死亡，产生进行性无力、肌肉萎缩和痉挛的衰弱症状。家族性ALS（fALS）的基因突变仅在ALS患者总人群的5-10%中发现。大约90%的ALS病例没有已知的遗传原因;这组通常被称为散发性ALS（sALS）。有一个广泛的科学共识，即ALS是由基因-环境相互作用引起的。有证据表明水质、蓝藻和ALS高发病率之间存在潜在联系。 集成卫星遥感、网络和云服务以及移动的设备（例如，手机、平板电脑）提供了在空间和时间尺度上监测CHAB的能力，这是离散点观测或传统技术无法实现的。对于CHAB检测，生物光学算法使用彩色遥感数据将观察到的光谱光信息转换为地球物理产品，例如叶绿素a和藻蓝蛋白浓度图。遥感可以详细描述空间、时间上的属性，并描述位置、持续时间、强度和频率。历史卫星图像的数量现在是数千TB，这给除了技术能力最强的最终用户之外的所有用户带来了数据处理方面的挑战。由于技术挑战，真实的时间图像处理流程、移动的设备和众包的集成以及公共健康警告和预测工具对于大多数应用是不可获得的。拟议创新：我们建议设计，建造和运营一个“基于云的湖泊蓝藻有害藻华测绘和分析平台（CHAB-MAP），以支持公共卫生风险评估”。该工具将自动绘制和分析相关卫星遥感数据，并自动更新真实的图像，以便绘制和分析从中分辨率成像分光仪、MERIS/Sentiel-3和大地卫星获得的CHAB指标。移动的应用程序和众包工具将与NOAA GLERL和EPA合作设计，以改善信息的获取、决策和数据收集。在这个SBIR中，我们与克利夫兰诊所密切合作，以解决俄亥俄州的氰毒素和ALS的作用。具体目标1：设计和应用大数据方法并生成历史和真实的时间MODIS（2001年至今），MERIS（2002-2012年）和陆地卫星（1984年至今）伊利湖CHABs指标，包括chl-a，藻蓝蛋白和水温与NOAA GLERL，NASA和EPA合作伙伴具体目标#2：设计、测试和确定最佳Web和云框架，用于管理、可视化、绘图工具、管理表格数据以及使用Web和移动的软件包访问产品与克利夫兰诊所（和Erik Pioro博士; Lerner研究所ALS研究的巴里Winovich主席和神经病学系ALS部门的主任）合作，评估CHAB和氰毒素在北方和俄亥俄州中部ALS中的作用。开发其他应用程序，研究可能与CHAB相关的神经退行性疾病和病症