Khan Ihsanullah R, Elmahdy Samy I, Rustum Rabee, Khan Qasim, Mohamed Mohamed M
Institute for Infrastructure and Environment, School of Energy, Geosciences, Infrastructure, and Society, Heriot-Watt University, P.O. Box 38103, Knowledge Park, Dubai, UAE.
Civil and Environmental Engineering Department, United Arab Emirates University, P.O. Box 15551, Al Ain, UAE.
Sci Rep. 2024 Oct 23;14(1):25039. doi: 10.1038/s41598-024-74736-3.
Floods accompanied by thunderstorms in developed cities are hazardous, causing damage to infrastructure. To secure infrastructure, it is important to employ an integrated approach, combining remote sensing, GIS and precipitation data. The model was developed based on the estimation of event-based runoff and investigated the relationship between runoff and impervious surfaces. The novel approach of combining Hydrologic Engineering Center's River Analysis System (HEC-GeoRAS) along with satellite imagery was utilized, where spatial data was combined with real-time values to run the model. As a first step, the Hydrologic Engineering Center-Hydrologic Modeling System (HEC-HMS) model was fed with information about precipitation, slope, soil type, as well as land use and land cover. The results reveal that the subbasins of Deira, Nief and Jumeirah have the largest impervious area and, thus, a higher probability of flood occurrence. The model was calibrated and validated using previous runoff events and by comparing observed and simulated streak flow and peak discharge against those reported in previous studies. It was found that the model is efficient and can be used in similar regions.
发达城市中伴有雷暴的洪水具有危险性,会对基础设施造成损害。为了保障基础设施安全,采用将遥感、地理信息系统(GIS)和降水数据相结合的综合方法很重要。该模型是基于对事件径流的估算而开发的,并研究了径流与不透水表面之间的关系。采用了将水文工程中心的河流分析系统(HEC - GeoRAS)与卫星图像相结合的新颖方法,将空间数据与实时值相结合来运行模型。第一步,将降水、坡度、土壤类型以及土地利用和土地覆盖等信息输入到水文工程中心 - 水文建模系统(HEC - HMS)模型中。结果表明,德拉、尼夫和朱美拉的子流域具有最大的不透水面积,因此发生洪水的可能性更高。该模型通过使用先前的径流事件进行校准和验证,并将观测到的和模拟的水流条纹及峰值流量与先前研究报告的结果进行比较。结果发现该模型是有效的,可用于类似地区。