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
基本信息
- 批准号:477864-2015
- 负责人:
- 金额:$ 1.82万
- 依托单位:
- 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:
- 关键词:
项目摘要
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.
Urban Systems 和 Adamowski 教授的研究团队之间的工业合作伙伴关系将导致
开发新的最先进和高精度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能够允许
为客户(例如不同的市政当局、公司、水务部门)提供高度准确和精确的洪水预报
经理等)遍布加拿大西部。反过来,这将极大地帮助艾伯塔省和西部地区的利益相关者
加拿大提前为洪水事件做好准备。这些新车型有望引领行业洪流
加拿大境内的预测技术。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Adamowski, Jan其他文献
A wavelet neural network conjunction model for groundwater level forecasting
- DOI:
10.1016/j.jhydrol.2011.06.013 - 发表时间:
2011-09-15 - 期刊:
- 影响因子:6.4
- 作者:
Adamowski, Jan;Chan, Hiu Fung - 通讯作者:
Chan, Hiu Fung
Bottom outlet dam flow: physical and numerical modelling
- DOI:
10.1680/wama.12.00048 - 发表时间:
2014-03-01 - 期刊:
- 影响因子:1.1
- 作者:
Daneshmand, Farhang;Adamowski, Jan;Liaghat, Tahereh - 通讯作者:
Liaghat, Tahereh
Modeling the Relationship between Catchment Attributes and In-stream Water Quality
- DOI:
10.1007/s11269-015-1103-y - 发表时间:
2015-11-01 - 期刊:
- 影响因子:4.3
- 作者:
Fatehi, Iman;Amiri, Bahman Jabbarian;Adamowski, Jan - 通讯作者:
Adamowski, Jan
A novel multi criteria decision making model for optimizing time-cost-quality trade-off problems in construction projects
- DOI:
10.1016/j.eswa.2014.11.032 - 发表时间:
2015-04-15 - 期刊:
- 影响因子:8.5
- 作者:
Monghasemi, Shahryar;Nikoo, Mohammad Reza;Adamowski, Jan - 通讯作者:
Adamowski, Jan
Using extreme learning machines for short-term urban water demand forecasting
- DOI:
10.1080/1573062x.2016.1236133 - 发表时间:
2017-01-01 - 期刊:
- 影响因子:2.7
- 作者:
Mouatadid, Soukayna;Adamowski, Jan - 通讯作者:
Adamowski, Jan
Adamowski, Jan的其他文献
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{{ truncateString('Adamowski, Jan', 18)}}的其他基金
Development of novel approaches to improve water resources data records, deep learning based forecasting, and participatory socio-hydrological systems modeling for integrated and adaptive water resources management
开发新方法来改进水资源数据记录、基于深度学习的预测以及用于综合和适应性水资源管理的参与式社会水文系统建模
- 批准号:
RGPIN-2020-05325 - 财政年份:2022
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Development of novel approaches to improve water resources data records, deep learning based forecasting, and participatory socio-hydrological systems modeling for integrated and adaptive water resources management
开发新方法来改进水资源数据记录、基于深度学习的预测以及用于综合和适应性水资源管理的参与式社会水文系统建模
- 批准号:
RGPIN-2020-05325 - 财政年份:2021
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Development of novel approaches to improve water resources data records, deep learning based forecasting, and participatory socio-hydrological systems modeling for integrated and adaptive water resources management
开发新方法来改进水资源数据记录、基于深度学习的预测以及用于综合和适应性水资源管理的参与式社会水文系统建模
- 批准号:
RGPIN-2020-05325 - 财政年份:2020
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
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
- 批准号:
RGPIN-2015-05554 - 财政年份:2019
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
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
- 批准号:
RGPIN-2015-05554 - 财政年份:2018
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
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
- 批准号:
477886-2015 - 财政年份:2017
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Accelerator Supplements
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
- 批准号:
RGPIN-2015-05554 - 财政年份:2017
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
A new participatory rainwater management framework for urban areas using non-structural measures.
使用非结构性措施的城市地区新的参与式雨水管理框架。
- 批准号:
518069-2017 - 财政年份:2017
- 资助金额:
$ 1.82万 - 项目类别:
Engage Grants Program
Assessing the impact of climate change on Montreal's precipitation characteristics
评估气候变化对蒙特利尔降水特征的影响
- 批准号:
505755-2016 - 财政年份:2016
- 资助金额:
$ 1.82万 - 项目类别:
Engage Grants Program
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
- 批准号:
RGPIN-2015-05554 - 财政年份:2016
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
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