改进印度气象部门的24小时降水方法,将其缩小到IDF模型中较短的持续时间

I. Nwaogazie, Masi G. Sam, C. Ikebude
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引用次数: 9

摘要

开发用于雨水渠设计和相关防洪结构的强度-持续时间-频率(IDF)模型需要降雨量和相应的持续时间记录。为此,选取24小时降雨量数据的三种短时降尺度方法进行改进,即IMD、AIMD和MCIMD,并以CAMS方法作为实验对照。基于降尺度方法建立了3种通用的PDF-IDF模型(GEVT-1、LPT-3和ND),拟合优度(R2)为0.995 ~ 0.999,相关系数非常高,模型精度均方误差(MSE)为4.123 ~ 7.85。PDF-IDF模型预测的强度与2、5、10、25、50和100年不同回归期的持续时间相对应,显示出从降尺度方法得到的强度预测性能的明显差异。经5%水平的Kruskal-Wallis非参数显著性检验显示,15-60分钟的持续时间差异不显著,而90-300分钟的持续时间差异显著。与IMD相比,基于MCIMD的LPT-3在预测强度方面的性能得到了更高的提高。改善程度分别为35.17% ~ 52.26%和25.0% ~ 39.89%;在10年和100年的周期内,AIMD分别为10.97 ~ 20.87%和3.33 ~ 12.53%。如果对LPT-3 PDF-IDF模型进行一些百分比改进或调整因子的修改,则为设计目的使用IMD降尺度方法是合理的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving Indian meteorological department method for 24- hourly rainfall downscaling to shorter durations for IDF modelling
The development of Intensity-Duration-Frequency (IDF) models for storm drain design and related flood mitigation structures requires rainfall amount and corresponding duration records. To achieve this purpose, three short duration downscaling methods from 24-hourly rainfall amount data were selected for improvement, namely: IMD, AIMD and MCIMD, with the CAMS method used as the experiment control. Three types of general PDF-IDF models (GEVT-1, LPT-3 and ND) were developed based on the downscaling methods yielding goodness of fit (R2) with very high correlation of 0.995–0.999 and model accuracy with mean square error (MSE) of 4.123–7.85. The PDF-IDF models predicted intensities plotted against durations for different return periods of 2, 5, 10, 25, 50 and 100 years, showed visual differences in the predictive performance of the intensities derived from the downscaling methods. Kruskal-Wallis non-parametric test of significance at 5% level carried out showed that no-significant difference exist for 15-60 minutes duration, while the difference was significant for durations between 90–300 minutes. The LPT-3 based on MCIMD yielded higher improved performance in prediction of intensities relative to the IMD. The level of improvement ranges from 35.17 to 52.26% and 25.0 to 39.89%; while that of AIMD ranges from 10.97 to 20.87% and 3.33 to 12.53% for 10 and 100 year return periods, respectively. The use of the IMD downscaling method with the LPT-3 PDF-IDF model for design purposes will be justified if modified with some percentage improvement or adjustment factor.
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