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NSERC Canadian Floodnet

NSERC Canadian Floodnet
NSERC 加拿大洪水网
批准号:
451456-2013
负责人:
Coulibaly, Paulin
金额:
$76.49万
依托单位:
依托单位国家:
加拿大
项目类别:
Strategic Network Grants Program
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31
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项目摘要

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中文摘要
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英文摘要
In Canada, floods are recognized as the most common, largely distributed natural hazard to life, property,**economy, community/industry water systems, and the environment. The main objective of the proposed**NSERC Canadian FloodNet is to create a vehicle for a concerted nation-wide effort to improve knowledge on**flood processes and their impacts, and enhance flood forecasting and management capacity in Canada. This is a**particularly challenging task because of the large diversity of geographical and hydro-climatic conditions in**Canada, but feasible through the creation of a structured research network that brings together**scientists/experts, users/operational forecasters, and the private sector to tackle the complex and fundamental**research questions and the technological gaps that need to be addressed in order to significantly enhance flood**forecasting and management in Canada. NSERC Strategic Network facilitating collaborative work between**universities, federal/provincial agencies and private sector, is the best approach to optimize resources and**expertise to address the growing issue of floods in Canada. Some of the key research tasks include (i)**Analyzing and characterizing extreme events (floods and storms) across Canada; (ii) Quantifying and reducing**predictive uncertainty of floods; (iii) Developing an advanced flood alert system for Canada; (iv) Assessing**physical, socio-economic, and environmental impacts of floods to enhance flood management policies in**Canada. Currently, no advanced flood alert system similar to the one in Europe (European Flood Awareness**System) or in the US (Advanced Hydrologic Prediction System) is available for operational use in Canada.**FloodNet will fill this gap by pooling together resources and best expertise from academia and industry to**develop the Canadian advanced flood alert system. The direct benefits of enhanced flood forecasts and**management are tremendous and include the reduced cost of damages, the protection of people and livestock,**the reduction of socio-economic impacts and human distress, and the protection of community water systems and the environment.
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Deep Learning for Enhanced Multisensor Quantitative Precipitation Estimation
  • 批准号:
    RGPIN-2018-05769
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $6.27万
  • 财政年份:
    2022
  • 负责人:
    Coulibaly, Paulin
  • 依托单位:
Deep Learning for Enhanced Multisensor Quantitative Precipitation Estimation
  • 批准号:
    RGPIN-2018-05769
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.13万
  • 财政年份:
    2021
  • 负责人:
    Coulibaly, Paulin
  • 依托单位:
Deep Learning for Enhanced Multisensor Quantitative Precipitation Estimation
  • 批准号:
    RGPIN-2018-05769
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.13万
  • 财政年份:
    2020
  • 负责人:
    Coulibaly, Paulin
  • 依托单位:
Deep Learning for Enhanced Multisensor Quantitative Precipitation Estimation
  • 批准号:
    RGPIN-2018-05769
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.13万
  • 财政年份:
    2019
  • 负责人:
    Coulibaly, Paulin
  • 依托单位:
海外基金