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首页> 外文期刊>Hydrological Research Letters >Consideration of the rainfall-runoff-inundation (RRI) model for flood mapping in a deltaic area of Myanmar
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Consideration of the rainfall-runoff-inundation (RRI) model for flood mapping in a deltaic area of Myanmar

机译:考虑缅甸三角洲地区洪水测绘的降雨径流淹没(RRI)模型

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Formulating countermeasures to flooding risks is important, especially in areas where data are scarce. Numerical modeling techniques may enable hydrologists to model flooding events and access flood risk. Many flooding-inundation models have been developed and successfully applied to many areas. The rainfall-runoff-inundation (RRI) model is one such model that has been applied in various places to estimate river discharges and flooding-inundation depths. However, its applicability to flat river basins is in question. Here, we evaluate the applicability of RRI model to a flat river basin in a data-scarce region. Using the Bago River basin, Myanmar, as a case study, we analyzed past extreme flooding events and developed flooding-inundation maps. The model was calibrated with observed discharge data for a 2011 flooding event and validated for flooding events in 2014 and 2015. The model produced reasonable hydrographs (both peak and base flows). Although the simulated discharges showed good agreement with observed data, the simulated inundation extent showed some discrepancies due to lack of data. Our results indicate that the RRI model may be applicable to flat river basins (short-term analysis). However, for long-term flood simulation, the model may not be the ideal choice as it does not include any land-atmosphere interactions.
机译:制定应对洪水风险的对策非常重要,尤其是在数据稀缺的地区。数值建模技术可以使水文学家能够对洪水事件进行建模并获得洪水风险。已经开发了许多洪水淹没模型并将其成功应用于许多地区。降雨-径流-淹没(RRI)模型就是这样一种模型,已在各个地方应用,以估算河流流量和洪水淹没深度。但是,它是否适用于平坦的流域尚存疑问。在这里,我们评估了RRI模型在数据稀缺地区的平坦流域中的适用性。以缅甸的勃固河流域为例,我们分析了过去的极端洪水事件并开发了洪水淹没图。该模型使用2011年洪水事件的观测排放数据进行了校准,并针对2014年和2015年的洪水事件进行了验证。该模型产生了合理的水位图(包括峰值流量和基流量)。尽管模拟排放量与观测数据显示出良好的一致性,但由于缺乏数据,模拟淹没程度显示出一些差异。我们的结果表明,RRI模型可能适用于平坦的流域(短期分析)。但是,对于长期洪水模拟,该模型可能不理想,因为它不包含任何陆-气相互作用。

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