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An autonomous freshwater pH sensor: development and applications

An autonomous freshwater pH sensor: development and applications
自主淡水 pH 传感器:开发与应用
批准号:
0337460
负责人:
Michael DeGrandpre
金额:
$0.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2004
资助国家:
美国
项目状态:
已结题
起止时间:
2004-02-01 至 2008-01-31

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DeGramdpre0337460Intellectual merit of the proposed activity. pH is a commonly measured parameter in freshwater systems. Continuous pH measurements are desired in many situations, yet present day technology is incapable of providing good quality, long-term, operator-free measurements. We propose to rigorously evaluate a novel spectrophotometric pH sensor that offers the potential for drift-free freshwater pH measurements. The design derives directly from the Submersible Autonomous Moored Sensor for CO2 (SAMI-CO2)(DeGrandpre et al. 1995, 1999). The SAMI-pH sensor utilizes the same design as SAMI-CO2. The availability of the SAMI technology through Sunburst Sensors (www.sunburstsensors.com) will greatly facilitate development, testing and future commercialization of SAMI-pH. Spectrophotometric pH methods are widely thought to be inadequate for analysis of weakly buffered waters such as freshwater because the indicator alters the pH of the sample. The SAMI-pH design utilizes a straightforward methodology to quantify the perturbation-free pH. The objectives of this grant are to 1) rigorously test the design in the laboratory using a series of weakly buffered samples, 2) quantify indicator equilibrium constants through a range of temperature and ionic strength, and 3) rigorously test the sensor performance in natural waters with a wide range of alkalinities, humic content, and particle loading. SAMI-pH data from the field studies will be compared to in situ pH electrode measurements and pH computed from pCO2 and alkalinity. Long-term (weeks to months) pH accuracy, precision and dynamic range will be assessed and design changes will be made based on these results. Field studies of mine-impacted streams will utilize two SAMI-pH sensors to quantify longitudinal gradients and pH rates of change (previously very difficult using potentiometric electrodes). The pH data will be used to model geochemical equilibria to predict metal loading. The combined models will enable metal variability and loading to be attributed to specific in-stream processes.Broader impact of the proposed activity . There are three broad impacts: 1) students trained in the area of chemical sensor development will subsequently become the next generation of leaders in this important research area; 2) an improved understanding of biogeochemical cycling in aquatic ecosystems will allow better prediction of anthropogenic impacts and hence management of our natural resources; and 3) advancements in autonomous chemical sensing technology will benefit the environment, industry and national security by making it possible to remotely and continuously monitor chemical species in the environment.
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Collaborative Research: LTREB Renewal - River ecosystem responses to floodplain restoration
  • 批准号:
    2324877
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $31.17万
  • 财政年份:
    2023
  • 负责人:
    Michael DeGrandpre
  • 依托单位:
An Arctic Ocean sea surface observing network for the partial pressure of carbon dioxide (pCO2), acidity, and dissolved oxygen (DO)
  • 批准号:
    1951294
  • 项目类别:
    Standard Grant
  • 资助金额:
    $89.04万
  • 财政年份:
    2020
  • 负责人:
    Michael DeGrandpre
  • 依托单位:
An Arctic Ocean sea surface pCO2, pH and O2 observing network
  • 批准号:
    1723308
  • 项目类别:
    Standard Grant
  • 资助金额:
    $35.15万
  • 财政年份:
    2017
  • 负责人:
    Michael DeGrandpre
  • 依托单位:
An Arctic Ocean sea surface pCO2 and pH observing network
  • 批准号:
    1504410
  • 项目类别:
    Standard Grant
  • 资助金额:
    $15.93万
  • 财政年份:
    2016
  • 负责人:
    Michael DeGrandpre
  • 依托单位:
国内基金
海外基金
横断山区淡水三肠目涡虫资源及分类学研究
  • 批准号:
    30670247
  • 项目类别:
    面上项目
  • 资助金额:
    27.0万元
  • 批准年份:
    2006
  • 负责人:
    陈广文
  • 依托单位: