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:
    2015
  • 资助国家:
    加拿大
  • 起止时间:
    2015-01-01 至 2016-12-31
  • 项目状态:
    已结题

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.
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中实际发生的处理水的信息。

项目成果

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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:
    2018
  • 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
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
雨水回收
  • 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
寒冷气候下多孔路面的水力和环境性能
  • 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
寒冷气候下多孔路面的水力和环境性能
  • 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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I-Corps:用于雨水管理的生物活性渗透结构
  • 批准号:
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设备: MRI:轨道 2 获取水力和沉积物再循环水槽,以推进城市雨水和河流过程的基础研究
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    2023
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