Climate Change Impact on Water Resources and Adaptation to Climate Extremes

气候变化对水资源的影响和极端气候的适应

• 批准号: RGPIN-2019-06365
• 负责人: Tsanis, Ioannis
• 金额: $ 2.62万
• 依托单位: York University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=716046
• 关键词: Climate; Change; Impact; Water; Resources

As demand for freshwater on a global scale rises, land use and climate change (CC) render its availability into the future uncertain. CC is expected to affect local water availability, river discharge, and the seasonal availability of water supply, thus making adaptation measures for water indispensable for a wide range of social and environmental aspects. In this context, the applicant has contributed to understanding the effects of the hydrometeorological variables on a global, continental and basin scale. His contributions includes analysis of global precipitation projections that indicates that today's extreme events will intensify. Hydrological modeling at watershed scale reveals the potential of an increased risk of severe flooding and prolonged droughts, thus suggesting that existing practices and policies for CC adaptation need to be improved and updated. The applicant will apply state-of-the-art climate data derived from high resolution CC forcing sets to bridge climate change output with the basin scale modeling requirements. An improved bias correction method for daily temperature and sub-daily precipitation that radically reduces the uncertainty will be developed. The scope of the research proposal is the advancement of fundamental understanding of CC impact on water resources and extremes with the key objectives of: (a) improving understanding of global climate change and its effects on floods and droughts through hydrological applications, (b) developing and extending CC analysis methodologies, (c) producing new high resolution climatic datasets suitable for water resources and extreme events research as well as their inherent risks, (d) providing training to researchers and disseminate information, methodologies and results. The methodology to be carried out will follow four main activities: (1) Adoption of non-hydrostatic RCMs in Canadian domain, (2) Improved Bias Adjustment Method to downscale relevant hydrological variables to basin scale, (3) Evaluation of the decadalscale prediction scheme and (4) Scenarios for water resources and hydrological extremes applications in Canada. The novelty of this proposal resides with the research in high priority areas (high resolution climate datasets for Canada using non-hydrostatic models), development and application of innovative methodologies to reduce the uncertainty, evaluation of the decadalscale prediction scheme to produce time-evolving predictions of policy development applications. The proposed research is expected to have a significant impact at both scientific and policy levels. Improved understanding of the cross scale interactions of global climate and local water availability and extremes will promote both mitigation and adaptation measures against the impacts of CC. New methodologies and datasets will elevate the science of climate and hydrology further, driving the development of Canadian CC Research within the academic, public, industrial and government sectors.

随着全球范围内对淡水需求的增加，土地利用和气候变化（CC）使其未来的可用性变得不确定。气候变化预计将影响当地的水供应、河流排放和水供应的季节性供应，从而使水适应措施对于广泛的社会和环境方面不可或缺。 在这方面，申请方为了解水文气象变量对全球、大陆和流域的影响作出了贡献。他的贡献包括对全球降水预测的分析，这些预测表明今天的极端事件将加剧。 流域尺度的水文模拟揭示了严重洪水和长期干旱风险增加的可能性，从而表明需要改进和更新现有的气候变化适应做法和政策。申请人将应用来自高分辨率CC强迫集的最先进的气候数据，以将气候变化输出与流域尺度建模要求联系起来。将开发一种改进的日温度和次日降水偏差校正方法，从根本上减少不确定性。 研究提案的范围是促进对CC对水资源和极端情况影响的基本理解，其主要目标是：（a）通过水文学应用提高对全球气候变化及其对洪水和干旱影响的认识，（B）发展和推广气候变化分析方法，（c）制作新的高分辨率气候数据集，适用于水资源和极端事件及其内在风险的研究，（d）为研究人员提供培训并传播信息，方法和结果。该方法将遵循四项主要活动：（1）在加拿大领域采用非静力区域协调机制，（2）改进偏差调整方法，将相关水文变量降到流域尺度，（3）评价十年尺度预测方案，（4）加拿大水资源和水文极端情况应用设想。这一建议的新奇之处在于对高度优先领域的研究（使用非流体静力学模型的加拿大高分辨率气候数据集）、开发和应用创新方法以减少不确定性、评价十年尺度预测方案以产生政策制定应用的随时间演变的预测。 预计拟议的研究将在科学和政策层面产生重大影响。更好地理解全球气候和当地水资源可用性和极端情况的跨尺度相互作用，将促进针对气候变化影响的缓解和适应措施。新的方法和数据集将进一步提升气候和水文科学，推动加拿大气候变化研究在学术、公共、工业和政府部门的发展。