Development of statistical credential of PeCOD technology

PeCOD技术统计证书的开发

基本信息

  • 批准号:
    452180-2013
  • 负责人:
  • 金额:
    $ 1.82万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Engage Grants Program
  • 财政年份:
    2013
  • 资助国家:
    加拿大
  • 起止时间:
    2013-01-01 至 2014-12-31
  • 项目状态:
    已结题

项目摘要

Historically, we have relied upon one or more different tests for characterizing dimensions of oxygen demand. These tests include BOD, COD and TOC; the challenges of these tests include the elapsed time to determine the result, the technician time for oversight/laboratory activities, and the challenges with the chemicals utilized. However, the needs for timely results in relation to oxygen demand are intensifying. An improved ability to rapidly characterize the oxygen demand would greatlly facilitate many water quality assessments. As examples, the ability to rapidly characterize oxygen demand would assist both analytical laboratory experiments through identification of the dilution requirements for BOD analyses, as well as provide more timely information related to energy needs for aeration equipment. Of interest in this research is to evaluate the capabilities of the newly-developed PeCOD instrumentation, most notably the opportunity to provide more rapid results with less personnel time, and relying upon green chemistry. The PeCOD capabilities all argue that the robustness of the PeCOD technology may provide very important insights to a range of water quality issues.
从历史上看,我们依赖于一个或多个不同的测试来表征需氧量的维度。 这些测试包括BOD、COD和TOC;这些测试的挑战包括确定结果所需的时间、技术人员监督/实验室活动的时间以及所用化学品的挑战。然而,对氧气需求及时结果的需求正在加强。 提高快速表征需氧量的能力将极大地促进许多水质评估。 例如,快速表征需氧量的能力将通过确定BOD分析的稀释要求来帮助分析实验室实验,并提供与曝气设备的能量需求相关的更及时的信息。 在这项研究中感兴趣的是评估新开发的PeCOD仪器的能力,最显着的机会,提供更快的结果,更少的人员时间,并依赖于绿色化学。 PeCOD的能力都认为,PeCOD技术的鲁棒性可以为一系列水质问题提供非常重要的见解。

项目成果

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McBean, Edward其他文献

First Nations' water sustainability and Security Strategy: Tools and methodologies for community-driven processes for water treatment in Indigenous communities
  • DOI:
    10.1016/j.techsoc.2017.04.004
  • 发表时间:
    2017-08-01
  • 期刊:
  • 影响因子:
    9.2
  • 作者:
    Black, Kerry;McBean, Edward
  • 通讯作者:
    McBean, Edward
A risk-based approach to sanitary sewer pipe asset management
  • DOI:
    10.1016/j.scitotenv.2014.10.040
  • 发表时间:
    2015-02-01
  • 期刊:
  • 影响因子:
    9.8
  • 作者:
    Baah, Kelly;Dubey, Brajesh;McBean, Edward
  • 通讯作者:
    McBean, Edward
Increased Indigenous Participation in Environmental Decision-Making: A Policy Analysis for the Improvement of Indigenous Health
Drinking water supply systems: decreasing advisories and improving treatment through real-time water quality monitoring
Forecasting impacts of climate change on changes of municipal wastewater production in wastewater reuse projects
  • DOI:
    10.1016/j.jclepro.2021.129790
  • 发表时间:
    2021-11-24
  • 期刊:
  • 影响因子:
    11.1
  • 作者:
    Shakeri, Hossein;Motiee, Homayoun;McBean, Edward
  • 通讯作者:
    McBean, Edward

McBean, Edward的其他文献

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{{ truncateString('McBean, Edward', 18)}}的其他基金

Improved Infrastructure Assessments of Water Main Breaks Using Data Mining and Machine Learning Algorithms
使用数据挖掘和机器学习算法改进水管破裂的基础设施评估
  • 批准号:
    RGPIN-2018-04623
  • 财政年份:
    2022
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Improved Infrastructure Assessments of Water Main Breaks Using Data Mining and Machine Learning Algorithms
使用数据挖掘和机器学习算法改进水管破裂的基础设施评估
  • 批准号:
    RGPIN-2018-04623
  • 财政年份:
    2021
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Watershed Water Security Assessment Under Climate Change and Urbanization Pressures
气候变化和城市化压力下的流域水安全评估
  • 批准号:
    549242-2019
  • 财政年份:
    2021
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Alliance Grants
Blue-green algae mitigation strategies for urban lakes
城市湖泊蓝绿藻缓解策略
  • 批准号:
    566271-2021
  • 财政年份:
    2021
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Alliance Grants
Long Term Care Disinfection Protocols for COVID-19
COVID-19 长期护理消毒方案
  • 批准号:
    553721-2020
  • 财政年份:
    2020
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Alliance Grants
Improved Infrastructure Assessments of Water Main Breaks Using Data Mining and Machine Learning Algorithms
使用数据挖掘和机器学习算法改进水管破裂的基础设施评估
  • 批准号:
    RGPIN-2018-04623
  • 财政年份:
    2020
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Using AI to predict COVID19 impacts on Canada's health system
使用人工智能预测新冠肺炎 (COVID19) 对加拿大卫生系统的影响
  • 批准号:
    549866-2020
  • 财政年份:
    2020
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Alliance Grants
Watershed Water Security Assessment Under Climate Change and Urbanization Pressures
气候变化和城市化压力下的流域水安全评估
  • 批准号:
    549242-2019
  • 财政年份:
    2020
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Alliance Grants
Using Wastewater Surveillance for Detection of COVID-19 Virus
利用废水监测检测 COVID-19 病毒
  • 批准号:
    554592-2020
  • 财政年份:
    2020
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Alliance Grants
Improved Infrastructure Assessments of Water Main Breaks Using Data Mining and Machine Learning Algorithms
使用数据挖掘和机器学习算法改进水管破裂的基础设施评估
  • 批准号:
    RGPIN-2018-04623
  • 财政年份:
    2018
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual

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