Total Stormwater Resolution via Multiple Scale Research and Integration
通过多尺度研究和整合实现雨水总解决方案
基本信息
- 批准号:RGPIN-2015-05096
- 负责人:
- 金额:$ 2.04万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Discovery Grants Program - Individual
- 财政年份:2018
- 资助国家:加拿大
- 起止时间:2018-01-01 至 2019-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Urban stormwater is a major source of flood water and pollutants in Canadian waterways. Low Impact Development options (LIDs) are popular urban stormwater management technologies that mimic a natural surface hydrologically and environmentally to reduce or eliminate pollutant loads such as total suspended solids, nutrients, organic matter, heavy metals, hydrocarbons (oil and grease) and harmful bacteria. They also reduce peak flowrates and delay flow volumes by lengthening retention times. LIDs can provide zero stormwater impact to the environment and potentially turn stormwater into a beneficial resource. However, currently LIDs are implemented in an ad hoc manner due to a complete lack of information on how they physically function. Therefore, their performance cannot be predicted and planning cannot be conducted. This lack of information is partly due to the methodology employed to study the efficacy of LIDs, which is usually in a laboratory setting and performance is assessed based and comparing what goes out to what comes into the LID. These approaches do not provide information on what is actually happening in the LID to treat the water.***This research will advance our knowledge of LID function by conducting field scale experimentation that monitors processes within the LID while it is in operation. The LIDs will be studied individually and in combination in order to propose systems of integrated LIDs that exploit the varying ways that individual LIDs function and treat stormwater. The knowledge gained will provide solutions to urban stormwater managers that are optimal in performance, predictable, require minimal operation and maintenance, and keep costs low. They will treat stormwater through a variety of physical, chemical and biological processes that enhance sustainability and aesthetic value. The expected research outcomes include definitive information on the field scale processes that lead to functioning LIDs in the short and long term; design parameters for integrated LID systems that achieve desired stormwater objectives through a holistic approach to stormwater management; and the potential to eliminate conventional piped drainage systems altogether. This research has the potential to save Canadian municipalities millions of dollars in stormwater pipe rehabilitation costs and the costs associated with damage from stormwater flooding.***********
城市雨水是加拿大水道中洪水和污染物的主要来源。 低影响开发方案(LID)是流行的城市雨水管理技术,在水文和环境方面模拟自然表面,以减少或消除污染物负荷,如总悬浮固体,营养物质,有机物,重金属,碳氢化合物(油和油脂)和有害细菌。它们还通过延长滞留时间来降低峰值流速和延迟流量。LID可以提供零雨水对环境的影响,并可能将雨水转化为有益的资源。然而,由于完全缺乏关于LID物理功能的信息,目前LID以临时方式实现。因此,无法预测其性能,也无法进行规划。这种信息的缺乏部分是由于研究LID疗效所采用的方法,这通常是在实验室环境中进行的,性能评估是基于比较LID的输出和输入。这些方法没有提供关于LID中实际发生的水处理的信息。这项研究将通过进行现场规模的实验来提高我们对LID功能的认识,该实验在LID运行时监测LID内的过程。LID将单独和组合研究,以提出综合LID系统,利用不同的方式,个别LID功能和处理雨水。所获得的知识将为城市雨水管理者提供性能最佳、可预测、需要最少的操作和维护并保持低成本的解决方案。他们将通过各种物理、化学和生物过程处理雨水,提高可持续性和美学价值。预期的研究成果包括在短期和长期内导致功能LID的现场规模过程的明确信息;通过雨水管理的整体方法实现所需雨水目标的集成LID系统的设计参数;以及完全消除传统管道排水系统的潜力。这项研究有可能为加拿大市政当局节省数百万美元的雨水管道修复费用和与暴雨洪水造成的损失相关的费用。
项目成果
期刊论文数量(0)
专著数量(0)
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Valeo, Caterina其他文献
River flood prediction using fuzzy neural networks: an investigation on automated network architecture
- DOI:
10.2166/wst.2018.107 - 发表时间:
2018-04-01 - 期刊:
- 影响因子:2.7
- 作者:
Khan, Usman T.;He, Jianxun;Valeo, Caterina - 通讯作者:
Valeo, Caterina
Optimising Fuzzy Neural Network Architecture for Dissolved Oxygen Prediction and Risk Analysis
- DOI:
10.3390/w9060381 - 发表时间:
2017-06-01 - 期刊:
- 影响因子:3.4
- 作者:
Khan, Usman T.;Valeo, Caterina - 通讯作者:
Valeo, Caterina
An Integrated Hydrological-CFD Model for Estimating Bacterial Levels in Stormwater Ponds
- DOI:
10.3390/w11051016 - 发表时间:
2019-05-01 - 期刊:
- 影响因子:3.4
- 作者:
Allafchi, Farzam;Valeo, Caterina;Neumann, Norman F. - 通讯作者:
Neumann, Norman F.
Centimetre-scale digital representations of terrain and impacts on depression storage and runoff
- DOI:
10.1016/j.catena.2008.07.005 - 发表时间:
2008-10-15 - 期刊:
- 影响因子:6.2
- 作者:
Martin, Yvonne;Valeo, Caterina;Tait, Matthew - 通讯作者:
Tait, Matthew
Valeo, Caterina的其他文献
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{{ truncateString('Valeo, Caterina', 18)}}的其他基金
Urban Stormwater Infrastructure Innovations for Enhancing Adaptation
城市雨水基础设施创新以增强适应能力
- 批准号:
RGPIN-2022-04352 - 财政年份:2022
- 资助金额:
$ 2.04万 - 项目类别:
Discovery Grants Program - Individual
Total Stormwater Resolution via Multiple Scale Research and Integration
通过多尺度研究和整合实现雨水总解决方案
- 批准号:
RGPIN-2015-05096 - 财政年份:2021
- 资助金额:
$ 2.04万 - 项目类别:
Discovery Grants Program - Individual
Total Stormwater Resolution via Multiple Scale Research and Integration
通过多尺度研究和整合实现雨水总解决方案
- 批准号:
RGPIN-2015-05096 - 财政年份:2019
- 资助金额:
$ 2.04万 - 项目类别:
Discovery Grants Program - Individual
Total Stormwater Resolution via Multiple Scale Research and Integration
通过多尺度研究和整合实现雨水总解决方案
- 批准号:
RGPIN-2015-05096 - 财政年份:2017
- 资助金额:
$ 2.04万 - 项目类别:
Discovery Grants Program - Individual
Total Stormwater Resolution via Multiple Scale Research and Integration
通过多尺度研究和整合实现雨水总解决方案
- 批准号:
RGPIN-2015-05096 - 财政年份:2016
- 资助金额:
$ 2.04万 - 项目类别:
Discovery Grants Program - Individual
Total Stormwater Resolution via Multiple Scale Research and Integration
通过多尺度研究和整合实现雨水总解决方案
- 批准号:
RGPIN-2015-05096 - 财政年份:2015
- 资助金额:
$ 2.04万 - 项目类别:
Discovery Grants Program - Individual
Hydrokinetic turbine layout tool
水力涡轮机布局工具
- 批准号:
490615-2015 - 财政年份:2015
- 资助金额:
$ 2.04万 - 项目类别:
Engage Grants Program
Stormwater recycling
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- 批准号:
203098-2008 - 财政年份:2014
- 资助金额:
$ 2.04万 - 项目类别:
Discovery Grants Program - Individual
Hydraulic and Environmental Performance of Porous Pavement in Cold Climates
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- 批准号:
412536-2011 - 财政年份:2014
- 资助金额:
$ 2.04万 - 项目类别:
Collaborative Research and Development Grants
Hydraulic and Environmental Performance of Porous Pavement in Cold Climates
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- 批准号:
412536-2011 - 财政年份:2013
- 资助金额:
$ 2.04万 - 项目类别:
Collaborative Research and Development Grants
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