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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:
2017
资助国家:
加拿大
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31
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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 proposedNSERC Canadian FloodNet is to create a vehicle for a concerted nation-wide effort to improve knowledge onflood processes and their impacts, and enhance flood forecasting and management capacity in Canada. This is aparticularly challenging task because of the large diversity of geographical and hydro-climatic conditions inCanada, but feasible through the creation of a structured research network that brings togetherscientists/experts, users/operational forecasters, and the private sector to tackle the complex and fundamentalresearch questions and the technological gaps that need to be addressed in order to significantly enhance floodforecasting and management in Canada. NSERC Strategic Network facilitating collaborative work betweenuniversities, federal/provincial agencies and private sector, is the best approach to optimize resources andexpertise 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 reducingpredictive uncertainty of floods; (iii) Developing an advanced flood alert system for Canada; (iv) Assessingphysical, socio-economic, and environmental impacts of floods to enhance flood management policies inCanada. Currently, no advanced flood alert system similar to the one in Europe (European Flood AwarenessSystem) 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 todevelop the Canadian advanced flood alert system. The direct benefits of enhanced flood forecasts andmanagement 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:
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  • 财政年份:
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  • 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