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Nutrient Auto-Analyzer System to Assess Great Lakes Health

Nutrient Auto-Analyzer System to Assess Great Lakes Health
用于评估五大湖健康状况的营养物自动分析仪系统
批准号:
RTI-2017-00723
负责人:
Haffner, Gordon
金额:
$5.5万
依托单位:
依托单位国家:
加拿大
项目类别:
Research Tools and Instruments
财政年份:
2016
资助国家:
加拿大
项目状态:
已结题
起止时间:
2016-01-01 至 2017-12-31

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英文摘要
We request a continuous flow auto-analyzer for the analysis of nutrient concentrations in water samples to support a substantial increase in the co-PIs’ research on the topic of Great Lakes Health. Nutrient imbalances, especially of phosphorus (P) and nitrogen (N), represent the single greatest threat to aquatic ecosystem services in the Great Lakes. Low P levels in Lake Huron limit the commercial fish catch, while high P levels in Lake Erie have contributed to nuisance and toxic algal blooms. Lake Ontario experiences recurring nuisance and toxic algal blooms in a number of embayments. There are many uncertainties that make it difficult to link management actions on the landscape (the ultimate source of excess nutrients) to improvements in the health of the Great Lakes. These uncertainties include: i) the respective roles of watershed and lakebed sources of N and P in driving water quality problems; ii) the forms of N and P input to aquatic ecosystems and the transformations they undergo from landscapes to aquatic ecosystems. The emerging consensus is that accurately quantifying N and P inputs to lakes requires hundreds of samples per station per year, while multiple stations are needed to understand downstream N and P transformation. Information from many locations is needed at the mouths of rivers to track the N and P form and transformation in nearshore areas, and bed sediments must be sampled at many locations to understand the overall sediment N and P flux to lakes. The co-PIs are involved in research that examines nutrient dynamics in urban, agricultural, nearshore, open lake, and freshwater benthic sediments, and that links nutrients to primary production, fish consumption advisories, and the release of contaminants stored in sediments. Dedicated infrastructure is needed that can estimate the N and P content of many water and sediment samples while minimizing the effects of operator error. The requested continuous flow analyzer will be based in the University of Windsor’s recently established Nutrient Lab (NL), a shared facility that all faculty and students in the University can access. We anticipate a total of 14 MSc, 12 PhD, and 2 PDFs to benefit from the use of the requested infrastructure in the first 5 years of use. The requested equipment will foster faster, more informative research, larger sample sizes, and more robust study designs, into the most important pollutants in the Great Lakes.
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