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EXAMINING THE SENSITIVITY OF FLOOD MODELLING IN PERIURBAN AREAS IN RAINFALL INPUTS OF VARIABLE ACCURACY

机译:检查可变精度降雨投入中蠕动区洪水建模的敏感性

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Flood risk management in periurban catchments is a critical issue, mainly due to the coexistence of different land uses and their frequent interaction, which make flood risk assessment hard. For efficient flood simulations in such areas, the use of accurate and representative rainfall inputs in modelling tools is particularly important. This research focuses on the examination of the impact of rainfall inputs of variable accuracy on both the hydrological and the hydraulic response of a periurban catchment. To this end, representative and efficient models for hydrological and hydraulic simulations were selected and set up for the study area and flood simulations for different rainfall inputs were performed. More specifically, rainfall inputs included rainfall forecasts while available flow measurements from stream flow gauges were used for model calibration. The optimum number of grid points with rainfall forecasts suggested for flood modelling, as well as the impact of the number of grid points used in the hydrological and the hydraulic analysis were further investigated. The study area is the Rafina catchment, a typical Mediterranean periurban catchment located in Eastern Attica, Greece. Hydrometeorological information is retrieved from the Hydrological Observatory of Athens (HOA), operated by the Centre for Hydrology and Informatics (CHI) of the National Technical University of Athens (NTUA), while meteorological information used in the analysis includes daily rainfall forecasts provided by the National Observatory of Athens (NOA). Both organizations operate dense networks in the study area. Flow measurements from HOA are retrieved from three stream flow gauges, while forecasts from NOA are provided in 48 grid points located within the catchment boundaries. The semi-distributed hydrological model HEC-HMS and the 1D hydraulic model HEC-RAS were used for flood modelling and run for selected rainfall events. The research concludes with suggestions on the required accuracy in rainfall inputs in order to achieve reliable hydrological and hydraulic simulations in a complex periurban area.
机译:Peringurban集水区中的洪水风险管理是一个关键问题,主要是由于不同土地使用的共存及其频繁的互动,这使得洪水风险评估很难。为了在这些领域的高效洪水模拟,在建模工具中使用准确和代表性的降雨输入尤为重要。本研究重点是考察降雨量对脑电图集水区水力和水力反应的可变精度的影响。为此,选择了用于水文和液压模拟的代表性和有效模型,并为不同的降雨投入进行研究区域和洪水模拟。更具体地,降雨输入包括降雨预测,而流量测量仪的可用流量测量用于模型校准。进一步研究了对洪水建模的降雨预测的最佳数量,以及水文和水力分析中使用的网格点数的影响。该研究区是Rafina集水区,一个典型的地中海蠕动集水区位于希腊东阿提卡东部。从国家技术大学(NTUA)的水文和信息学(Chi)的水文和信息学(NTUA)经营的雅典水文天文台检索水文学信息,而分析中使用的气象信息包括每日降雨预测国家天文台(NOA)。两个组织都在研究区运行密集的网络。从三个流流量表中检索来自HOA的流量测量,而NOA的预测是在位于集水区内的48个网格点中提供。半分布式水文模型HEC-HMS和1D液压模型HEC-RA用于洪水建模,为选定的降雨事件运行。该研究结论是关于降雨投入中所需准确性的建议,以实现复杂的蠕虫区域中可靠的水文和液压模拟。

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