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首页> 外文期刊>Journal of Hydrology >Comparison of methods to estimate areal means of short duration rainfalls in small catchments, using rain gauge and radar data
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Comparison of methods to estimate areal means of short duration rainfalls in small catchments, using rain gauge and radar data

机译:用雨量计和雷达数据估算短持续时间降雨的方法的方法比较

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摘要

Flood forecasting for early alerts is a challenging task for hydrologists. This is particularly the case in small catchments due to a lack of upstream gauges and their flashy response. In such catchments, estimating areal mean rainfall at short intervals by applying spatial interpolation schemes based on rain gauge data in short time scales is a significant work for accurate flood forecasting. In this study, we compare and evaluate four commonly used spatial interpolation methods in small catchments, which have small numbers of rain gauges in South Korea. We investigate the impacts of catchment area on different spatial interpolation schemes. Then a simulation is done with hypothetical storms to illustrate the limitation of the Thiessen method. Local heavy rainfall events have been selected for case studies and 10-minute rain gauge rainfall data are used, since short time scales of rainfall data are generally needed for flash flood forecasting and alerts. Furthermore, we analyse the characteristics of different spatial interpolation techniques by comparing the results with weather radar rainfall. The results revealed that mean absolute percentage discrepancy (MAPD) of areal mean rainfall between the Thiessen polygon method and the other three interpolation schemes (Inverse distance weighting, Multiquadric interpolation, Kriging) increases rapidly as the catchment area becomes smaller, especially when the catchment area is less than 500km(2). In addition, regarding the number of rain gauges in a catchment, the smaller the number of rain gauges used in calculating areal mean rainfall, the larger the MAPD becomes, as expected. Furthermore, the number of rainfall events with outliers increased as correlation among rain gauge locations increased, which implies that outliers are more likely to happen when the gauges are located in a linear format rather than in a cluster. Finally, the temporal distributions of areal mean rainfall obtained from rain gauge and weather radar data are different depending on the direction of rainfall movement, especially in sparsely gauged catchments. This study provides a possible guideline for rain gauge number and placement to estimate areal mean rainfall accurately at small catchments.
机译:对早期警报的洪水预测是水文学家的一个具有挑战性的任务。由于缺乏上游仪表和它们的快速反应,这尤其如此小型集水区。在这种集水区中,通过在短时间尺度上施加基于雨量计数据的空间插值方案来估计短暂的间隔降雨是准确的洪水预测的重要工作。在这项研究中,我们比较并评估了小集水区中的四种常用的空间插值方法,韩国占少数雨量仪。我们调查集水区对不同空间插值方案的影响。然后用假设的风暴进行模拟,以说明Thiessen方法的限制。为案例研究选择了局部大量的降雨事件,使用10分钟的雨量测量数据,因为闪光洪水预测和警报通常需要短时间降雨量数据。此外,我们通过将结果与天气雷达降雨进行比较来分析不同空间插值技术的特征。结果表明,由于集水区变小,尤其是当集水区变小时,地区均衡方案(逆距离加权,逆距离,多功率翻译,克里格)之间的平均百分比差异(MAPD)的平均降雨量小于500km(2)。此外,关于集水仪中的雨量仪数量,在计算面部平均降雨的雨量仪的数量越小,MAPD正如所预期的那样越大。此外,随着雨量计位置之间的相关性增加,具有异常值的降雨事件的数量增加,这意味着当仪表以线性格式而不是集群中的线性格式时更可能发生异常值。最后,根据雨量计和天气雷达数据获得的区域平均降雨的时间分布取决于降雨量的方向,特别是在稀疏测量的集水区内。本研究提供了雨量计数和放置的可能指南,以便在小集水区中准确估计地区平均降雨。

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