A comprehensive, modular Python automation system for HEC-RAS flood analysis workflows. This professional-grade tool demonstrates advanced hydraulic modeling capabilities, Python integration, and ...

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 ...

Abstract: Accurate prediction of future coastal inundation is crucial for developing effective adaptation strategies to mitigate loss of life and economic damage. Hydrological models rely on Digital ...

本研究针对迪拜2024年4月极端降雨事件（118.9 mm/24 h），创新性地耦合2D HEC-RAS雨-网耦合模拟与GIS-AHP-MCDA空间分析，构建水文灾害指数(HHI)。结果显示43%城区属高风险区，局部水深达2.5-3.0 m，流速超2.5 m/s。该框架为超干旱城市洪涝风险评估提供了可移植的科学工具 ...

MANVILLE, N.J.—Richard Onderko said he will never forget the terrifying Saturday morning back in 1971 when the water rose so swiftly at his childhood home here that he and his brother had to be ...

Abstract: Public safety in disaster operations relies heavily on accurate predictions which help minimize flood damages. The Long Short-Term Memory (LSTM) neural network demonstrates exceptional ...