RAPID: Collaborative Research: Assessing Chemical and Microbiological Contamination in Environmental Waters in Eastern North Carolina after Hurricane Florence

RAPID：合作研究：评估飓风佛罗伦萨后北卡罗来纳州东部环境水域的化学和微生物污染

• 批准号: 1901202
• 负责人: Diego Riveros-Iregui
• 金额: $ 5.03万
• 依托单位: University of North Carolina at Chapel Hill
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-12-01 至 2019-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1901202&HistoricalAwards=false
• 关键词: RAPID; Collaborative; Research; Assessing; Chemical

Hurricane Florence passed through southeast North Carolina in 2018 resulting in widespread flooding. The counties most affected by flooding house thousands of swine and poultry confined animal feeding operations (CAFOs). These areas are also home to many low-income, African American, Hispanic, and American Indian communities. The objective of this research is to study the spread of contaminants into the environment caused by Hurricane floodwaters. The pollutants assessed include heavy metals from coal ash, emerging chemical contaminants related to industrial and municipal wastewater, and pathogens and nutrients associated with CAFOs. This project will result in improved understanding of the risks posed by extreme flooding. Local communities affected by the flooding will be engaged in this research through the identification of sampling sites and communication of research results. The results will have broader impact through the identification of waste management operations that can be modified to prevent such releases in future flooding events.The central aim of this work is to assess microbial and chemical contamination of the environment near livestock and industrial operations flooding caused by Hurricane Florence floodwaters. A secondary aim is to understand the relative impacts of different land-usage and livestock waste management practices on contaminant loading. To achieve these aims, this research project has the following objectives: (1) Collect samples to quantify spatiotemporal variability in molecular targets for microbial contamination (i.e., human-, poultry-, and swine-specific fecal microbial source tracking targets and antimicrobial resistance genes), nutrients (N and P), heavy metals, and chemical contaminants of emerging concern; (2) Identify spatial relationships between contamination, flooding extent, land-use (e.g., CAFO densities, industrial sites, urban areas) and manure management practices using satellite imagery and machine learning techniques; (3) Assess persistence of biological and chemical species in the natural environment post-flooding. To achieve these objectives, the research team will sample across 50 sites in multiple coastal plain river basins where intense flooding occurred after Hurricane Florence to map advanced chemical and biological water quality indicators in high spatial resolution. The team sampled within a week after the hurricane, and then will sample after ~1 month, ~2 months, and ~6 months. Knowledge gained from this study will directly inform improvements to emergency management protocols post-hurricane in landscapes with many contaminant sources. The work will have broader impact through the promulgation of waste management recommendations that account for the increasing likelihood and severity of extreme flooding events expected in the future as our climate changes.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

2018年，飓风佛罗伦萨经过北卡罗来纳州东南部，造成大范围洪水。受洪水影响最严重的县安置了数千头猪和家禽。这些地区也是许多低收入、非裔美国人、西班牙裔和美洲印第安人社区的所在地。这项研究的目的是研究飓风洪水造成的污染物扩散到环境中。评估的污染物包括煤灰中的重金属，与工业和城市废水有关的新兴化学污染物，以及与CAFO相关的病原体和营养物质。该项目将提高对极端洪水风险的认识。受洪水影响的当地社区将通过确定取样地点和交流研究结果参与这项研究。结果将有更广泛的影响，通过识别废物管理操作，可以修改，以防止这种释放在未来的洪水events. Central目标这项工作是评估附近的环境微生物和化学污染的牲畜和工业操作洪水飓风佛罗伦萨洪水造成的。第二个目的是了解不同的土地使用和禽畜废物管理方法对污染物负荷的相对影响。为了实现这些目标，本研究项目有以下目标：（1）收集样品以量化微生物污染分子靶标的时空变异性（即，人类、家禽和猪特异性粪便微生物源跟踪目标和抗微生物剂抗性基因）、营养物（N和P）、重金属和新出现的关注的化学污染物;（2）确定污染、洪水范围、土地利用（例如，利用卫星图像和机器学习技术，评估CAFO密度、工业场地、城市地区）和粪肥管理做法;（3）评估洪水后自然环境中生物和化学物种的持久性。为了实现这些目标，研究小组将在飓风佛罗伦萨后发生强烈洪水的多个沿海平原河流流域的50个地点进行采样，以高空间分辨率绘制先进的化学和生物水质指标。 该小组在飓风后一周内取样，然后将在1个月、2个月和6个月后取样。从这项研究中获得的知识将直接为飓风后具有许多污染源的景观的应急管理协议的改进提供信息。这项工作将通过颁布废物管理建议产生更广泛的影响，这些建议说明了随着我们的气候变化，未来预计发生极端洪水事件的可能性和严重性越来越大。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。