Development of State-of-the-Art Artificial Intelligence River Flood Forecasting Models

开发最先进的人工智能河流洪水预报模型

• 批准号: 477864-2015
• 负责人: Adamowski, Jan
• 金额: $ 1.82万
• 依托单位: McGill University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=579139
• 关键词: Development; State; Art; Artificial; Intelligence

The industrial partnership between Urban Systems and Professor Adamowski's research team will result in the development of new state-of-the-art and highly accurate river flood forecasting models. The new, highly accurate, and reliable flood forecasting models will provide Urban Systems with models that will allow for highly accurate and precise flood forecasting for their clients (e.g., different municipalities, companies, water managers, etc.) across Western Canada. In turn, this will significantly help stakeholders in Alberta and Western Canada prepare in advance for flooding events. These new models are expected to lead the industry in flood forecasting techniques within Canada.

城市系统和Adamowski教授的研究团队之间的工业伙伴关系将导致 开发新的最先进和高度准确的河流洪水预报模型。新的，高度 准确可靠的洪水预报模型将为城市系统提供模型， 为他们的客户提供高度准确和精确的洪水预报（例如，不同的市政当局，公司，水 经理等）横跨加拿大西部反过来，这将大大有助于阿尔伯塔和西部的利益相关者 加拿大提前做好应对洪水的准备。这些新模式有望引领行业洪流 加拿大的预测技术。