Integrated Water Resources Management for sustainable development using artificial intelligence approaches

这项研究计划的主要目标是通过计算和预测流域内的水量平衡参数，包括降水、蒸散和径流，来预测未来气候变化的影响。这项研究将促进关于水文系统建模的科学知识，这对决策者评估脆弱地区和制定未来适应战略至关重要。这项研究将有助于开发新的、实用和可行的方法，以最大限度地减少气候变化对城市和农业流域的潜在负面环境影响。具体地说，通过目标1，这项研究侧重于改进对各种水文系统进行物理模拟的科学方法，重点是利用综合人工智能技术对蒸发蒸腾进行适当的流域管理。这项建议的第二个目标是，通过在目标1中开发的保护径流脆弱地区的新的和改进的综合模型的基础上开发一种自动化方法，确定气候变化对流域径流计算和预测的影响。这些发现的主要结果将是：提高水文模型输出的准确性，以克服以前研究中的缺点；采用可靠的方法，显示各种控制变量与过程物理之间的关系；以及评估所开发的模型预测中的不确定性。这一知识对于以环境安全和财政负责的方式进行可持续流域保护的用户和决策者至关重要，以减少气候变化的不利影响，从而造福加拿大公众和保护环境。这项研究计划将在项目的五年期间支持3名博士、1名硕士和10名本科生。学生们将开发新的水资源管理技术，这些技术不仅在可持续发展中的需求很高，而且有望为加拿大带来就业和收入。

The main goal of this research program is to project the impacts of future climate change in terms of calculating and predicting water balance parameters in a watershed including precipitation, evapotranspiration and runoff. This research will advance scientific knowledge on hydrological system modelling, which is vital for decision-makers to assess vulnerable areas and formulate future adaptation strategies. This research will assist in the development of novel, practical and feasible methodologies to minimize potential negative environmental effects of climate change in urban and agricultural watersheds. Specifically, through objective 1 this research focuses on improving scientific methods of physically modelling a wide variety of hydrological systems with emphasis on evapotranspiration for appropriate watershed management using integrated artificial intelligence techniques. The second objective of this proposal is aimed at identifying the impact of climate change for both the calculation and prediction of watershed runoff by developing an automated method based on the new and enhanced integrated models developed in objective 1 to protect runoff-vulnerable areas. The main outcome of these findings will be enhanced accuracy of hydrological modelling outputs to overcome the shortcomings in previous studies; reliable approaches showing the relationship between various control variables and the process physics; and assess the uncertainty in the developed model prediction. This knowledge is vital for users and decision-makers undertaking sustainable watershed protection in an environmentally safe and financially responsible manner to reduce the adverse impacts of climate change, consequently benefitting the Canadian public and protecting the environment. This research program will support 3 Doctoral, one Masters and ten Undergraduate students over the five-year duration of the project. The students will develop new water resources management technologies, which are not only in high demand in sustainable development but are also expected to result in jobs and income for Canada.