Integrated Water Resources Management for sustainable development using artificial intelligence approaches

利用人工智能方法实现可持续发展的综合水资源管理

• 批准号: RGPIN-2020-04583
• 负责人: Bonakdari, Hossein
• 金额: $ 2.26万
• 依托单位: Université Laval
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=740054
• 关键词: Integrated; Water; Resources; Management; sustainable

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.

该研究计划的主要目标是预测未来气候变化的影响，计算和预测流域水平衡参数，包括降水，蒸散和径流。这项研究将增进水文系统建模方面的科学知识，这对于决策者评估脆弱地区和制定未来的适应战略至关重要。这项研究将有助于开发新颖、实用和可行的方法，以尽量减少气候变化对城市和农业流域潜在的负面环境影响。具体而言，通过目标1，这项研究的重点是改进物理建模的科学方法，各种各样的水文系统，重点是蒸散适当的流域管理，使用综合人工智能技术。该提案的第二个目标是通过基于目标1中开发的新的和增强的综合模型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，以保护径流脆弱地区。这些研究结果的主要成果将是提高水文建模输出的准确性，以克服以往研究中的缺点;可靠的方法显示各种控制变量和过程物理之间的关系;并评估开发的模型预测的不确定性。这些知识对于用户和决策者以环境安全和财政负责的方式进行可持续的流域保护以减少气候变化的不利影响至关重要，从而使加拿大公众受益并保护环境。该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，这不仅是在可持续发展的高需求，但也有望为加拿大带来就业机会和收入。