Global hydrological modeling to analyze the effects of climate, land use & socioeconomic change on the world's water resources

全球水文模型分析气候、土地利用的影响

基本信息

  • 批准号:
    341992-2007
  • 负责人:
  • 金额:
    $ 1.09万
  • 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:
    2010
  • 资助国家:
    加拿大
  • 起止时间:
    2010-01-01 至 2011-12-31
  • 项目状态:
    已结题

项目摘要

Among the most critical consequences of climate and global change are alterations in the spatial and temporal distribution of water resources. Mitigation and adaptation strategies are needed to prepare both society and the environment for potentially diminishing water supplies, increasingly erratic river flows, or more frequent extreme events such as floods and droughts. These strategies, in turn, require scenarios and modeling approaches which have emerged as key scientific tools to estimate future hydrologic conditions.
气候和全球变化最严重的后果之一是改变水资源的时空分布。需要采取缓解和适应战略,使社会和环境做好准备,以应对可能出现的供水减少、河流流量越来越不稳定或洪水和干旱等更频繁的极端事件。这些战略,反过来,需要的情景和建模方法已成为关键的科学工具,以估计未来的水文条件。

项目成果

期刊论文数量(0)
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会议论文数量(0)
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Lehner, Bernhard其他文献

Development of a global inundation map at high spatial resolution from topographic downscaling of coarse-scale remote sensing data
  • DOI:
    10.1016/j.rse.2014.10.015
  • 发表时间:
    2015-03-01
  • 期刊:
  • 影响因子:
    13.5
  • 作者:
    Fluet-Chouinard, Etienne;Lehner, Bernhard;Hamilton, Stephen K.
  • 通讯作者:
    Hamilton, Stephen K.
Estimating the volume and age of water stored in global lakes using a geo-statistical approach.
  • DOI:
    10.1038/ncomms13603
  • 发表时间:
    2016-12-15
  • 期刊:
  • 影响因子:
    16.6
  • 作者:
    Messager, Mathis Loic;Lehner, Bernhard;Grill, Guenther;Nedeva, Irena;Schmitt, Oliver
  • 通讯作者:
    Schmitt, Oliver
Development of new indicators to evaluate river fragmentation and flow regulation at large scales: A case study for the Mekong River Basin
  • DOI:
    10.1016/j.ecolind.2014.03.026
  • 发表时间:
    2014-10-01
  • 期刊:
  • 影响因子:
    6.9
  • 作者:
    Grill, Guenther;Dallaire, Camille Ouellet;Lehner, Bernhard
  • 通讯作者:
    Lehner, Bernhard
The relationship between watershed protection and water quality: The case of Quebec, Canada
  • DOI:
    10.1086/714598
  • 发表时间:
    2021-06-01
  • 期刊:
  • 影响因子:
    1.8
  • 作者:
    Hanna, Dalal E. L.;Lehner, Bernhard;Bennett, Elena M.
  • 通讯作者:
    Bennett, Elena M.
An index-based framework for assessing patterns and trends in river fragmentation and flow regulation by global dams at multiple scales
  • DOI:
    10.1088/1748-9326/10/1/015001
  • 发表时间:
    2015-01-01
  • 期刊:
  • 影响因子:
    6.7
  • 作者:
    Grill, Guenther;Lehner, Bernhard;Liermann, Catherine Reidy
  • 通讯作者:
    Liermann, Catherine Reidy

Lehner, Bernhard的其他文献

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{{ truncateString('Lehner, Bernhard', 18)}}的其他基金

Large-scale water quality modeling to screen for risks in Canadian and global freshwater bodies using a high-resolution river routing approach
使用高分辨率河流路线方法进行大规模水质建模,以筛查加拿大和全球淡水体的风险
  • 批准号:
    RGPIN-2019-04541
  • 财政年份:
    2022
  • 资助金额:
    $ 1.09万
  • 项目类别:
    Discovery Grants Program - Individual
Large-scale water quality modeling to screen for risks in Canadian and global freshwater bodies using a high-resolution river routing approach
使用高分辨率河流路线方法进行大规模水质建模,以筛查加拿大和全球淡水体的风险
  • 批准号:
    RGPIN-2019-04541
  • 财政年份:
    2021
  • 资助金额:
    $ 1.09万
  • 项目类别:
    Discovery Grants Program - Individual
Large-scale water quality modeling to screen for risks in Canadian and global freshwater bodies using a high-resolution river routing approach
使用高分辨率河流路线方法进行大规模水质建模,以筛查加拿大和全球淡水体的风险
  • 批准号:
    RGPIN-2019-04541
  • 财政年份:
    2020
  • 资助金额:
    $ 1.09万
  • 项目类别:
    Discovery Grants Program - Individual
Large-scale water quality modeling to screen for risks in Canadian and global freshwater bodies using a high-resolution river routing approach
使用高分辨率河流路线方法进行大规模水质建模,以筛查加拿大和全球淡水体的风险
  • 批准号:
    RGPIN-2019-04541
  • 财政年份:
    2019
  • 资助金额:
    $ 1.09万
  • 项目类别:
    Discovery Grants Program - Individual
High-resolution river routing at large scales to analyze hydrographic patterns, risks and trends of Canadian and global freshwater resources
大尺度高分辨率河流路线分析,用于分析加拿大和全球淡水资源的水文模式、风险和趋势
  • 批准号:
    341992-2013
  • 财政年份:
    2017
  • 资助金额:
    $ 1.09万
  • 项目类别:
    Discovery Grants Program - Individual
High-resolution river routing at large scales to analyze hydrographic patterns, risks and trends of Canadian and global freshwater resources
大尺度高分辨率河流路线分析,用于分析加拿大和全球淡水资源的水文模式、风险和趋势
  • 批准号:
    341992-2013
  • 财政年份:
    2016
  • 资助金额:
    $ 1.09万
  • 项目类别:
    Discovery Grants Program - Individual
High-resolution river routing at large scales to analyze hydrographic patterns, risks and trends of Canadian and global freshwater resources
大尺度高分辨率河流路线分析,用于分析加拿大和全球淡水资源的水文模式、风险和趋势
  • 批准号:
    341992-2013
  • 财政年份:
    2015
  • 资助金额:
    $ 1.09万
  • 项目类别:
    Discovery Grants Program - Individual
High-resolution river routing at large scales to analyze hydrographic patterns, risks and trends of Canadian and global freshwater resources
大尺度高分辨率河流路线分析,用于分析加拿大和全球淡水资源的水文模式、风险和趋势
  • 批准号:
    341992-2013
  • 财政年份:
    2014
  • 资助金额:
    $ 1.09万
  • 项目类别:
    Discovery Grants Program - Individual
High-resolution river routing at large scales to analyze hydrographic patterns, risks and trends of Canadian and global freshwater resources
大尺度高分辨率河流路线分析,用于分析加拿大和全球淡水资源的水文模式、风险和趋势
  • 批准号:
    341992-2013
  • 财政年份:
    2013
  • 资助金额:
    $ 1.09万
  • 项目类别:
    Discovery Grants Program - Individual
Global hydrological modeling to analyze the effects of climate, land use & socioeconomic change on the world's water resources
全球水文模型分析气候、土地利用的影响
  • 批准号:
    341992-2007
  • 财政年份:
    2011
  • 资助金额:
    $ 1.09万
  • 项目类别:
    Discovery Grants Program - Individual

相似海外基金

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:
    $ 1.09万
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Integration of state-of-the-art satellite soil moisture and terrestrial water storage products with hydrological modeling in support of water security in Canada
将最先进的卫星土壤湿度和陆地储水产品与水文模型相结合,以支持加拿大的水安全
  • 批准号:
    RGPIN-2021-03523
  • 财政年份:
    2022
  • 资助金额:
    $ 1.09万
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    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:
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  • 财政年份:
    2021
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将最先进的卫星土壤湿度和陆地储水产品与水文模型相结合,以支持加拿大的水安全
  • 批准号:
    RGPIN-2021-03523
  • 财政年份:
    2021
  • 资助金额:
    $ 1.09万
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    Discovery Grants Program - Individual
Integration of state-of-the-art satellite soil moisture and terrestrial water storage products with hydrological modeling in support of water security in Canada
将最先进的卫星土壤湿度和陆地储水产品与水文模型相结合,以支持加拿大的水安全
  • 批准号:
    DGECR-2021-00389
  • 财政年份:
    2021
  • 资助金额:
    $ 1.09万
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Evaluating the State of Ungauged Small Reservoirs and Hydrological Responses in the Era of Climate Change Using Remote Sensing and Climate Modeling Techniques
利用遥感和气候模拟技术评估气候变化时代未计量小型水库的状况和水文响应
  • 批准号:
    534765-2019
  • 财政年份:
    2021
  • 资助金额:
    $ 1.09万
  • 项目类别:
    Postgraduate Scholarships - Doctoral
Modeling climate change impacts on glacier meltwater contribution to the hydrological systems of the Canadian Rockies
模拟气候变化对冰川融水对加拿大落基山脉水文系统贡献的影响
  • 批准号:
    533584-2018
  • 财政年份:
    2020
  • 资助金额:
    $ 1.09万
  • 项目类别:
    Vanier Canada Graduate Scholarship Tri-Council - Doctoral 3 years
Evaluating the State of Ungauged Small Reservoirs and Hydrological Responses in the Era of Climate Change Using Remote Sensing and Climate Modeling Techniques
利用遥感和气候模拟技术评估气候变化时代未计量小型水库的状况和水文响应
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    534765-2019
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    $ 1.09万
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    Postgraduate Scholarships - Doctoral
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
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Investigating stress transfer via fluids in a hydraulic fracturing environment using seismic, geodetic, and hydrological observations coupled with poroelastic modeling techniques
利用地震、大地测量和水文观测以及孔隙弹性建模技术研究水力压裂环境中流体的应力传递
  • 批准号:
    428868223
  • 财政年份:
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