Novel Approaches in Statistical Analysis and Coupled Social-Physical Systems Modeling for Integrated and Adaptive Water Resources Management in the Face of Increasing Uncertainty

在加拿大和世界各地的许多地方，来自城市地区、农业和工业的水资源在水质和水量方面的压力正在增加，这给可持续水资源管理带来了重大挑战。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、城市地区以及农业和粮食系统等产生重大影响，而这反过来又会对水和粮食安全产生影响。社区缓解和适应这些复杂问题的能力目前受到许多因素的制约，包括：㈠许多流域缺乏有助于支持水资源建模和管理的水资源数据; ㈡在对非线性和非平稳水资源变量提供高度准确的预测以及为决策者提供不确定性评估方面存在挑战;以及iii）缺乏关键利益相关者对水资源建模和管理的有意义的参与，再加上我们对水资源系统中物理和社会经济活动的复杂耦合的知识和建模能力有限。 为了直接解决这三个关键问题，该研究计划将遵循三管齐下的方法来开发、测试和实施：i）改进水资源数据记录以进行建模和管理的方法。这将涉及新的方法，以扩大水资源记录在短的测量网站，以及估计水资源记录在无测量网站。（二）改进短期水资源预测的方法。这将涉及处理水资源预测中的非线性、非平稳性和不确定性评估的新方法。（三）改进将主要利益攸关方和社会方面纳入水资源建模和管理的方法。这将涉及一个新的参与式社会物理系统建模方法，以代表和耦合管理水资源系统的物理和社会经济过程之间的相互作用。该研究计划将促进向更可持续的水资源管理过渡，并将在水文学和综合，协作和适应性水资源管理领域提供高素质人才的培训。

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. To directly address these three critical issues, this research program will follow a three pronged approach to develop, test, and implement: i) Methods to improve water resources data records for modeling and management. This will involve new approaches to extend water resources records in short-gauged sites, as well as estimate water resources records in ungauged sites. ii) Methods to improve short term water resources forecasting. This will involve new approaches to address non-linearity, non-stationarity, and uncertainty assessment in water resources forecasting. iii) Methods to improve the incorporation of key stakeholders and social aspects in water resources modeling and management. This will involve a new participatory social-physical systems modeling approach to represent and couple interactions between physical and social-economic processes that govern water resources systems. This research program will facilitate the transition towards more sustainable water resources management, and will provide training of highly qualified personnel in a unique combination of state-of-the-art concepts and approaches in the fields of hydrology and integrated, collaborative, and adaptive water resources management.