Quantitative estimation and fusion optimization of radar rainfall in the Duanzhuang watershed at the eastern foot of the Taihang Mountains

IF 2.2 3区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Ting Zhang, Yi Li, Jianzhu Li, Zhixia Li, Congmei Wang, Jin Liu
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引用次数: 0

Abstract

The temporal and spatial resolutions of rainfall data directly affect the accuracy of hydrological simulation. Weather radar has been used in business in China, but the uncertainty of data is large. At present, research on radar data and fusion in small and medium-sized basins in China is very weak. In this paper, taking the Duanzhuang watershed as an example, based on station data, Shijiazhuang's radar data are preprocessed, optimized and fused. Eleven rainfall events are selected for fusion by three methods and quality evaluation, and three flood simulations are used to test their effect. The results show that preprocessing and initial optimization have poor effects on radar data improvement. The rainfall proportional coefficient fusion method performs best in rainfall spatial estimation, where the R2 values of the three inspection stations are increased to 0.51, 0.78 and 0.82. Three fusion datasets in the peak flow and flood volume of flood simulation perform better than station data. For example, in the No.20210721 flood, the NSE of the three fusion data increased by 39, 30 and 48%. This shows that the fusion method can effectively improve the data accuracy of radar and can obtain high temporal and spatial resolution rainfall data.
太行山东麓端庄流域雷达降水定量估算与融合优化
降雨数据的时空分辨率直接影响水文模拟的精度。气象雷达在中国已经应用于商业,但数据的不确定性较大。目前,中国中小流域的雷达数据融合研究非常薄弱。本文以端庄流域为例,在台站数据的基础上,对石家庄市雷达数据进行预处理、优化和融合。通过三种方法和质量评价选择了11个降雨事件进行融合,并通过3次洪水模拟对其效果进行了测试。结果表明,预处理和初始优化对雷达数据的改进效果较差。降雨比例系数融合法在降雨空间估计中表现最好,3个监测站的R2值分别提高到0.51、0.78和0.82。3个融合数据在洪峰流量和洪量模拟中均优于台站数据。例如,在No.20210721洪水中,三个融合数据的NSE分别增加了39%、30%和48%。这表明融合方法可以有效地提高雷达数据精度,可以获得高时空分辨率的降雨数据。
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来源期刊
Journal of Hydroinformatics
Journal of Hydroinformatics 工程技术-工程:土木
CiteScore
4.80
自引率
3.70%
发文量
59
审稿时长
3 months
期刊介绍: Journal of Hydroinformatics is a peer-reviewed journal devoted to the application of information technology in the widest sense to problems of the aquatic environment. It promotes Hydroinformatics as a cross-disciplinary field of study, combining technological, human-sociological and more general environmental interests, including an ethical perspective.
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