本研究针对迪拜超干旱环境下极端降雨引发的城市内涝问题，开发了融合二维水动力模型与地理空间多准则决策分析的创新框架。研究人员通过耦合HEC-RAS雨打在网格模拟与GIS-MCDA-AHP方法，构建了水文灾害指数(HHI)，精准识别出43%城区属高风险区域，局部水深达2.5 ...

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hecstac is an open-source Python library designed to mine metadata from HEC model simulations for use in the development of catalogs documenting probabilistic flood studies. This project automates the ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

Chances are, you’ve seen clicks to your website from organic search results decline since about May 2024—when AI Overviews launched. Large language model optimization (LLMO), a set of tactics for ...

1 Department of Civil Engineering, University of Ottawa, Ontario, Canada. 2 Department of Civil Engineering, Rajshahi University of Engineering & Technology, Rajshahi, Bangladesh. Watershed management ...

Singapore-based AI startup Sapient Intelligence has developed a new AI architecture that can match, and in some cases vastly outperform, large language models (LLMs) on complex reasoning tasks, all ...

Makassar City, a fast-growing urban center in Eastern Indonesia, is highly vulnerable to flooding due to a combination of extreme rainfall, urban expansion, sedimentation, and a limited flood ...

Description: Starting with geospatially attributed one-dimensional HEC-RAS floodplain models, these scripts are used to create a library of flood depth inundation rasters for a range of storm water ...

Zachary del Rosario receives funding from the National Science Foundation and Toyota Research Institute. Nicknamed “Galloping Gertie” for its tendency to bend and undulate, the Tacoma Narrows Bridge ...