A microwave link rain intensity inversion method based on exponential rain cell rain attenuation model/

被引:0
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作者
Yang, Tao [1 ,2 ,3 ,4 ]
Shen, Yufang [1 ,2 ]
Chen, Yuqing [1 ,2 ]
Ye, Wenjie [1 ,2 ]
Chen, Xi [3 ]
Zhang, Yusong [5 ]
Tu, Jie [5 ]
Shi, Xiaowei [5 ]
机构
[1] The National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing,210098, China
[2] College of Hydrology and Water Resources, Hohai University, Nanjing,210098, China
[3] Institute of Water Science and Technology, Hohai University, Nanjing,210098, China
[4] Cooperative Innovation Center for Water Safety and Hydro Science, Hohai University, Nanjing,210098, China
[5] China Yangtze Power Co. , Ltd., Yichang,443000, China
关键词
Microwave links - Rain;
D O I
10.3880/j.issn.1004-6933.2024.05.002
中图分类号
学科分类号
摘要
A new microwave link rain intensity inversion method was proposed based on the exponential rain cell rain attenuation model to improve the accuracy of rain intensity inversion. Using measured data from 21 microwave links and 8 rainfall stations within 2 km from the links in Gothenburg, Sweden, rain intensity inversion results of the exponential rain cell rain attenuation model were compared with those of the traditional power-law model and ITU-R P. 530-16 rain attenuation model. The results show that the exponential rain cell rain attenuation model performed excellently in rain intensity inversion, with both the determination coefficient and Nash-Sutcliffe efficiency coefficient being 0. 78, the mean absolute error being 0. 39mm/ h, and the root-mean-square error being 0. 68 mm/ h. The exponential rain cell rain attenuation model has a significant improvement in accuracy and stability compared to the power-law model, and also has an improvement compared to the ITU-R P. 530-16 rain attenuation model, especially in rain intensity inversion of short links and small to medium rainfalls. It is also demonstrated that the exponential rain cell rain attenuation model is valuable for further enhancing the accuracy of microwave link rain intensity inversion and improving the effectiveness of precipitation monitoring. © 2024 Editorial Board of Water Resources Protection. All rights reserved.
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页码:11 / 17
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