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

基本信息

批准号：
RGPIN-2015-05554
负责人：
Adamowski, Jan
金额：
$ 2.48万
依托单位：
McGill University
依托单位国家：
加拿大
项目类别：
Discovery Grants Program - Individual
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

来源：
https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=636363
关键词：
Novel Approaches Statistical Analysis Coupled

项目摘要

In many parts of Canada and around the world, pressure on water resources, both in terms of water quality and quantity, from urban areas, agriculture, and industry are increasing, resulting in significant challenges in sustainable water resources management. In addition, in many regions of the world climate change will increase the frequency of extreme events (e.g., droughts and floods), which will have significant impacts on, among other things, our ecosystems, water resources, urban areas, and agricultural and food systems, which in turn will have ramifications on water and food security. The capacity of communities to mitigate against, and adapt to, such complex problems is presently constrained by many factors, including: i) a lack of water resources data in many watersheds that can help support water resources modeling and management; ii) challenges in providing highly accurate forecasts of non-linear and non-stationary water resources variables, and providing uncertainty assessments for decision makers; and iii) a lack of meaningful participation of key stakeholders in water resources modeling and management, coupled with our limited knowledge and modeling ability of the complex coupling of physical and social-economic activities in water resources systems.

在加拿大和世界各地的许多地区，在水质和数量方面，城市地区，农业和工业的水资源压力都在增加，从而导致可持续水资源管理面临重大挑战。此外，在世界许多地区，气候变化将增加极端事件的频率（例如干旱和洪水），这将对我们的生态系统，水资源，城市和农业和食品产生重大影响系统又将对水和粮食安全产生影响。目前，社区减轻和适应这种复杂问题的能力受到许多因素的限制，包括：i）许多流域中缺乏水资源数据，这些数据可以帮助支持水资源建模和管理； ii）在提供非线性和非平稳水资源变量的高度准确预测方面的挑战，并为决策者提供不确定性评估； iii）缺乏主要利益相关者参与水资源建模和管理，再加上我们在水资源系统中物理和社会经济活动复杂耦合的知识和建模能力的有限的知识和建模能力。