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A framework for projecting future intensity-duration-frequency (IDF) curves based on CORDEX Southeast Asia multi-model simulations: An application for two cities in Southern Vietnam

机译:基于CORDEX东南亚多模式模拟的未来强度-持续时间-频率(IDF)曲线预测框架:在越南南部两个城市的应用

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摘要

To date, no previous studies based on the Coordinated Regional Climate Downscaling Experiment Southeast Asia (CORDEX-SEA), which represents the most comprehensive set of regional climate model simulations in Southeast Asia, have reported the climate change impacts on Intensity-duration-frequency (IDF) curves for designing urban drainage systems. In this study, a framework to project future IDF curves based on a temporal disaggregation of bias-corrected CORDEX-SEA simulations was developed and applied to two cities in Southern Vietnam, i.e. Ho Chi Minh City (HCMC) and Can Tho City (CTC). First, a new bias correction (BC) method, which we call normalized quantile mapping (NQM), was proposed and compared with two other BC methods, quantile mapping (QM) and quantile delta mapping (QDM), to select a suitable BC method for downscaling each dataset of CORDEX-SEA multi-model simulations. A temporal disaggregation model in an artificial neural network (ANN) framework was introduced to obtain future sub-daily rainfall extremes, and the results were compared with the widely used stochastic model, Hyetosminute. Selecting a suitable BC method for each dataset performs better than using one BC method for all datasets in decreasing the ensemble spread by 47.1 in HCMC and 61.4 in CTC. The temporal disaggregation by ANN performs much better than Hyetosminute in durations shorter than or equal to six hours. IDF curves (based on ensemble mean of seven climate models) projected for the far future period (2066-2085) reveal that the rainfall intensity for 25-yr return period is expected to increase by 27.4-32.6 in HCMC and 55.4-72.8 in CTC (depending on the rainfall duration) from those observed for the historical period (1986-2005), while expected to change by -1.1-11.3 for 2-yr return period. Generally, more increase of rainfall intensity for rarer rainfall events (especially for longer durations) urges us to update the existing drainage systems for higher return periods. The fram
机译:迄今为止,基于东南亚区域气候降尺度协调实验(CORDEX-SEA)的研究尚未报告气候变化对设计城市排水系统的强度-持续时间-频率(IDF)曲线的影响。在这项研究中,开发了一个基于偏差校正CORDEX-SEA模拟的时间分解预测未来IDF曲线的框架,并将其应用于越南南部的两个城市,即胡志明市(HCMC)和芹苴市(CTC)。首先,提出了一种新的偏差校正(BC)方法,我们称之为归一化分位数映射(NQM),并与分位数映射(QM)和分位数增量映射(QDM)等两种BC方法进行了比较,以选择一种合适的BC方法对CORDEX-SEA多模型模拟的每个数据集进行缩小。引入人工神经网络(ANN)框架中的时间分解模型来获取未来亚日降雨量极端值,并将结果与广泛使用的随机模型Hyetosminute进行比较。为每个数据集选择合适的 BC 方法比对所有数据集使用一种 BC 方法效果更好,可将 HCMC 的集成扩散降低 47.1%,将 CTC 的集成扩散降低 61.4%。在持续时间短于或等于六小时的情况下,ANN 的时间分解比 Hyetosminute 表现好得多。预测远期(2066-2085年)的IDF曲线(基于7个气候模式的集合平均值)显示,胡志明市25年重现期的降雨强度预计将比历史时期(1986-2005年)增加27.4-32.6%,CTC增加55.4-72.8%(取决于降雨持续时间),而2年重现期的降雨强度预计将增加-1.1-11.3%。一般而言,较少的降雨事件(尤其是持续时间较长的降雨)的降雨强度增加,促使我们更新现有的排水系统,以增加重现期。弗拉姆

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