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Comparison of future intensity duration frequency curve by considering the impact of climate change: case study for Kuching city

机译:考虑气候变化影响的未来强度持续时间频率曲线比较:以古晋为例

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摘要

Floods are occurring more frequently nowadays. The most common parameter used to analyse the flood severity is average recurrence interval (ARI). Very often, hydrologist found that the severity of flood is 100-year ARI. However, there is a possibility that the 100-year ARI flood severity will hit the same place again after a few months later. The two main possible reasons are (1) future warmer temperatures will increase future extreme precipitation extremes and (2) limited length recorded rainfall data had derived inaccurate Intensity duration frequency (IDF) curves. Therefore, there is an initiative in this study to derive future IDF curve by considering the future rainfall using 'delta' approach. The annual maximum precipitations for 2020s, 2050s and 2080s are generated using Statistical Downscaling Model (SDSM), neural network (NN) with scale conjugate gradient and Cuckoo search optimization algorithms. The selected study rainfall station is Kuching Airport. Results revealed that the newly projected IDF curves at various durations and ARIs are slightly higher than historical IDF curve. However, this research is still in the nascent stage and the results obtained are not finalized yet. More investigation works are carried out currently to establish reliable relationships between daily and sub-daily extreme precipitations based on the scaling general extreme value distribution.
机译:如今洪水泛滥。用于分析洪水严重性的最常见参数是平均重复间隔(ARI)。水文学家经常发现洪水的严重程度是100年ARI。但是,几个月后,百年ARI洪灾严重程度有可能再次到达同一地点。可能的两个主要原因是:(1)未来的温暖温度将增加未来的极端降水极端事件;(2)记录的有限长度的降雨数据得出的强度持续时间频率(IDF)曲线不准确。因此,这项研究提出了一项倡议,通过考虑使用“三角洲”方法的未来降雨来得出未来的IDF曲线。使用统计降尺度模型(SDSM),带有尺度共轭梯度的神经网络(CNN)和布谷鸟搜索优化算法,可以生成2020s,2050s和2080s的年最大降水量。选定的研究降雨站是古晋机场。结果表明,新投影的IDF曲线在不同的持续时间和ARIs略高于历史IDF曲线。但是,这项研究仍处于起步阶段,所获得的结果尚未最终确定。当前正在进行更多的调查工作,以基于缩放的总极值分布建立每日和次日极端降水之间的可靠关系。

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