Blue-green algae mitigation strategies for urban lakes
城市湖泊蓝绿藻缓解策略
基本信息
- 批准号:566271-2021
- 负责人:
- 金额:$ 4.08万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Alliance Grants
- 财政年份:2021
- 资助国家:加拿大
- 起止时间:2021-01-01 至 2022-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Cyanobacteria, commonly known as blue-green algae, are naturally occurring microscopic organisms that may release cyanotoxins into freshwater systems. These toxins pose a serious public health risk as exposure through skin contact, ingestion of lake water, or contaminated drinking water or food may cause symptoms impacting both animals (livestock and pets) and humans. These risks range from minor irritation to more serious illness and, in worst case scenarios, can be fatal.Cyanobacteria occur worldwide, in calm, nutrient-rich waters, allowing algal blooms. These blooms may occur at any time of year but are more common during summer and early fall, creating bad odors, water discoloration, accumulate as a scum on the surface of the water, and releasing toxins that may be harmful to humans and aquatic biota. The expectations are that blooms will increase in frequency and duration in urban lakes due to warming temperatures associated with climate change.With the increasing incidence of cyanotoxins, interest is focusing on understanding the pathways of factors which contribute to formation of cyanotoxins and ultimately, opportunities to manage urban lakes and hence insights to decrease the potential for algal blooms to occur (e.g. manage/decrease nutrient loads, consider physical and chemical activities to reduce the blooms, and develop scientific knowledge using modern techniques such as microbial source tracking, and create tools to assess their magnitude and potential). Currently, models to specifically predict harmful algal composition and toxicity are lacking and improved knowledge of the effectiveness of possible control measures are needed.This research will focus on a case study application to Fairy Lake, a 26 ha Provincially Significant Wetland in the Town of Halton, Ontario where the algal growths are substantial and a considerable history of data are available. Fairy Lake is ideal for this research, given the interested parties, the proximity allowing relatively easy access, and the expertise within the proposed research team.
蓝细菌,通常称为蓝绿色藻类,是天然存在的微观生物,可能会释放氰毒素到淡水系统中。这些毒素会带来严重的公共卫生风险,因为通过皮肤接触,摄入湖水或受污染的饮用水或食物的暴露可能会引起影响动物(牲畜和宠物)和人类的症状。 这些风险范围从轻微刺激到更严重的疾病,在最坏的情况下,可能是致命的。环细菌发生在全球,在镇定,营养丰富的水域中,允许藻类开花。这些花朵可能在一年中的任何时候发生,但在夏季和初秋期间更为普遍,产生了不良气味,水变色,作为水面上的浮渣积聚,并释放可能对人类和水生生物植物有害的毒素。 The expectations are that blooms will increase in frequency and duration in urban lakes due to warming temperatures associated with climate change.With the increasing incidence of cyanotoxins, interest is focusing on understanding the pathways of factors which contribute to formation of cyanotoxins and ultimately, opportunities to manage urban lakes and hence insights to decrease the potential for algal blooms to occur (e.g. manage/decrease nutrient loads, consider physical and化学活动以减少花朵,并使用现代技术(例如微生物源跟踪)发展科学知识,并创建工具来评估其幅度和潜力)。当前,缺乏要特别预测有害的藻类组成和毒性的模型,并且需要提高对可能的控制措施的有效性的了解。这项研究将重点放在对安大略省霍尔顿镇26公顷的省份湿地的案例研究申请上,其中algal的增长是实质性的,并且可用的数据可用。鉴于有关方,允许相对容易获得的接近性以及拟议的研究团队中的专业知识,童话湖是这项研究的理想选择。
项目成果
期刊论文数量(0)
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科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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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
- DOI:
10.18584/iipj.2016.7.4.5 - 发表时间:
2016-01-01 - 期刊:
- 影响因子:1.3
- 作者:
Black, Kerry;McBean, Edward - 通讯作者:
McBean, Edward
Drinking water supply systems: decreasing advisories and improving treatment through real-time water quality monitoring
- DOI:
10.2166/aqua.2018.091 - 发表时间:
2018-06-01 - 期刊:
- 影响因子:4.3
- 作者:
Black, Kerry;McBean, Edward - 通讯作者:
McBean, Edward
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:
$ 4.08万 - 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:
$ 4.08万 - 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:
$ 4.08万 - 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:
$ 4.08万 - 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:
$ 4.08万 - 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:
$ 4.08万 - 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:
$ 4.08万 - 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:
$ 4.08万 - 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:
$ 4.08万 - 项目类别:
Discovery Grants Program - Individual
Watershed Modelling to Enhance Water Security for the Region of Peel
流域建模可增强皮尔地区的水安全
- 批准号:
532006-2018 - 财政年份:2018
- 资助金额:
$ 4.08万 - 项目类别:
Engage Grants Program
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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:2022
- 资助金额:
$ 4.08万 - 项目类别:
Alliance Grants
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