A new participatory rainwater management framework for urban areas using non-structural measures.

使用非结构性措施的城市地区新的参与式雨水管理框架。

基本信息

  • 批准号:
    518069-2017
  • 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:
    2017
  • 资助国家:
    加拿大
  • 起止时间:
    2017-01-01 至 2018-12-31
  • 项目状态:
    已结题

项目摘要

Climate change has significantly altered the historical characteristics of precipitation. Changes in precipitationcharacteristics coupled with trends of rapid urbanization can put pressure on existing urban infrastructure.Untreated sewage often overflows and mixes with runoff when an extreme event occurs. A large amount ofuntreated sewage from cities is thus dumped directly into the river system. This causes adverse socio-economicand environmental impacts in many cities in Canada. The hydrological strategies to alleviate the overall impactshould include both municipal and participatory management in order to make them successful. This projectaims to provide natural and plant-based hydrological participatory management solutions which are inherentlysustainable and low-cost alternatives to current rainwater management practices. To accomplish this, firstrainfall data will be analyzed to understand the characteristics of precipitation such as seasonality, magnitude,frequency, and duration of extreme rainfall. Second, potential stakeholders will be identified and their views onthe management options for mitigation measures will be collected. Third, surplus volume will be estimatedfrom stormwater municipality codes. Finally, different low cost and sustainable rainwater managementalternatives will be selected by using hydrological models in conjunction with stakeholder input. Alternativemanagement selection will be based on socio-economic and environmental considerations. This project willbenefit, to a significant degree, Orbit Engineering in designing economic and sustainable participatoryrainwater management projects for urban areas. This will result in a reduction of construction material andenergy use, and sustainable land use. Moreover, the proposed project will provide a significant contribution tothe science of participatory rainwater management since it focuses directly on the efficiency and sustainabilityof on-site rainwater management through participatory modeling that has not been explored at all to date. Theproject will provide an alternative to costly upgrades of drainage infrastructure and help reduce excessiveuntreated drainage volume from urban areas in Canada.
气候变化显着改变了降水的历史特征。沉淀量的变化以及快速城市化趋势的变化会给现有的城市基础设施带来压力。当发生极端事件时,未治疗的污水通常会溢出并与径流混合。因此,来自城市的大量未接收的污水直接倾倒到河流系统中。这会导致加拿大许多城市的社会经济和环境影响不利。减轻整体影响的水文策略应包括市政和参与式管理,以使其成功。该项目旨在提供天然和基于植物的水文参与管理解决方案,这些解决方案固有地是可持续的,并且是当前雨水管理实践的低成本替代品。为此,将分析Firstrainfall数据,以了解降水的特征,例如季节性,大小,频率和极端降雨的持续时间。其次,将确定潜在的利益相关者,并将收集他们对缓解措施的管理选择的看法。第三,将估计雨水城市法规估计盈余量。最后,通过将水文模型与利益相关者的投入结合使用,将选择不同的低成本和可持续的雨水管理工具。替代人管理选择将基于社会经济和环境考虑。该项目将在很大程度上将轨道工程设计在为城市地区设计经济和可持续参与的管理项目时。这将减少建筑材料的使用和可持续的土地利用。此外,拟议的项目将提供参与式雨水管理科学的重要贡献,因为它直接通过参与式建模直接关注现场雨水管理的效率和可持续性,而这些建模尚未探索。该项目将为排水基础设施的昂贵升级提供替代方案,并有助于减少加拿大城市地区的过度未经无效的排水量。

项目成果

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专利数量(0)

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Adamowski, Jan其他文献

A wavelet neural network conjunction model for groundwater level forecasting
  • DOI:
    10.1016/j.jhydrol.2011.06.013
  • 发表时间:
    2011-09-15
  • 期刊:
  • 影响因子:
    6.4
  • 作者:
    Adamowski, Jan;Chan, Hiu Fung
  • 通讯作者:
    Chan, Hiu Fung
Bottom outlet dam flow: physical and numerical modelling
Modeling the Relationship between Catchment Attributes and In-stream Water Quality
  • DOI:
    10.1007/s11269-015-1103-y
  • 发表时间:
    2015-11-01
  • 期刊:
  • 影响因子:
    4.3
  • 作者:
    Fatehi, Iman;Amiri, Bahman Jabbarian;Adamowski, Jan
  • 通讯作者:
    Adamowski, Jan
Using extreme learning machines for short-term urban water demand forecasting
  • DOI:
    10.1080/1573062x.2016.1236133
  • 发表时间:
    2017-01-01
  • 期刊:
  • 影响因子:
    2.7
  • 作者:
    Mouatadid, Soukayna;Adamowski, Jan
  • 通讯作者:
    Adamowski, Jan
A novel multi criteria decision making model for optimizing time-cost-quality trade-off problems in construction projects
  • DOI:
    10.1016/j.eswa.2014.11.032
  • 发表时间:
    2015-04-15
  • 期刊:
  • 影响因子:
    8.5
  • 作者:
    Monghasemi, Shahryar;Nikoo, Mohammad Reza;Adamowski, Jan
  • 通讯作者:
    Adamowski, Jan

Adamowski, Jan的其他文献

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{{ truncateString('Adamowski, Jan', 18)}}的其他基金

Development of novel approaches to improve water resources data records, deep learning based forecasting, and participatory socio-hydrological systems modeling for integrated and adaptive water resources management
开发新方法来改进水资源数据记录、基于深度学习的预测以及用于综合和适应性水资源管理的参与式社会水文系统建模
  • 批准号:
    RGPIN-2020-05325
  • 财政年份:
    2022
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Development of novel approaches to improve water resources data records, deep learning based forecasting, and participatory socio-hydrological systems modeling for integrated and adaptive water resources management
开发新方法来改进水资源数据记录、基于深度学习的预测以及用于综合和适应性水资源管理的参与式社会水文系统建模
  • 批准号:
    RGPIN-2020-05325
  • 财政年份:
    2021
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Development of novel approaches to improve water resources data records, deep learning based forecasting, and participatory socio-hydrological systems modeling for integrated and adaptive water resources management
开发新方法来改进水资源数据记录、基于深度学习的预测以及用于综合和适应性水资源管理的参与式社会水文系统建模
  • 批准号:
    RGPIN-2020-05325
  • 财政年份:
    2020
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Novel Approaches in Statistical Analysis and Coupled Social-Physical Systems Modeling for Integrated and Adaptive Water Resources Management in the Face of Increasing Uncertainty
面对日益增加的不确定性,用于综合和适应性水资源管理的统计分析和耦合社会物理系统建模的新方法
  • 批准号:
    RGPIN-2015-05554
  • 财政年份:
    2019
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Novel Approaches in Statistical Analysis and Coupled Social-Physical Systems Modeling for Integrated and Adaptive Water Resources Management in the Face of Increasing Uncertainty
面对日益增加的不确定性,用于综合和适应性水资源管理的统计分析和耦合社会物理系统建模的新方法
  • 批准号:
    RGPIN-2015-05554
  • 财政年份:
    2018
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Novel Approaches in Statistical Analysis and Coupled Social-Physical Systems Modeling for Integrated and Adaptive Water Resources Management in the Face of Increasing Uncertainty
面对日益增加的不确定性,用于综合和适应性水资源管理的统计分析和耦合社会物理系统建模的新方法
  • 批准号:
    477886-2015
  • 财政年份:
    2017
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Accelerator Supplements
Novel Approaches in Statistical Analysis and Coupled Social-Physical Systems Modeling for Integrated and Adaptive Water Resources Management in the Face of Increasing Uncertainty
面对日益增加的不确定性,用于综合和适应性水资源管理的统计分析和耦合社会物理系统建模的新方法
  • 批准号:
    RGPIN-2015-05554
  • 财政年份:
    2017
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Assessing the impact of climate change on Montreal's precipitation characteristics
评估气候变化对蒙特利尔降水特征的影响
  • 批准号:
    505755-2016
  • 财政年份:
    2016
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Engage Grants Program
Novel Approaches in Statistical Analysis and Coupled Social-Physical Systems Modeling for Integrated and Adaptive Water Resources Management in the Face of Increasing Uncertainty
面对日益增加的不确定性,用于综合和适应性水资源管理的统计分析和耦合社会物理系统建模的新方法
  • 批准号:
    RGPIN-2015-05554
  • 财政年份:
    2016
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Development of State-of-the-Art Artificial Intelligence River Flood Forecasting Models
开发最先进的人工智能河流洪水预报模型
  • 批准号:
    477864-2015
  • 财政年份:
    2015
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Engage Grants Program

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