| 微波链路网对降雨强度场反演的影响研究 |
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| 引用本文： | 赵迎诚,刘西川,宋堃,邹明忠.微波链路网对降雨强度场反演的影响研究[J].电波科学学报,2020,35(6):914-923. |
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| 作者姓名： | 赵迎诚 刘西川 宋堃 邹明忠 |
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| 作者单位： | 1.国防科技大学气象海洋学院, 南京 211101 |
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| 基金项目： | 国家自然科学基金41975030国家自然科学基金41505135国家自然科学基金41475020 |
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| 摘 要： | 为了提升利用微波链路网反演降雨场的效果，针对实际通信基站设计了不同链路数、不同结构的微波链路网，利用基于CT成像原理和Tikhonov正则化原理的降雨场层析模型开展了微波链路网反演降雨场的仿真实验，分析不同微波链路网对反演结果的影响.实验结果表明:不同结构的微波链路网对于不同降雨场具有不同的反演效果，各种微波链路网反演结果的平均偏差和平均绝对偏差均在1.25~4.76 mm/h，平均绝对百分比偏差在3.10%~9.70%，图像质量指标（universal quality index，UQI）值在0.711~0.955；链路数量越多、密度越大、分布越均匀的链路网，反演效果越好.该工作为下一步开展微波链路降水观测网的实际构建和优化提供了技术基础，对于进一步提升气象、水文领域的强降水监测效果具有实际价值.
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| 关 键 词： | 微波链路网 结构 降雨场 反演 数值仿真 |
| 收稿时间： | 2020-07-15 |
Effect of microwave link network on rainfall intensity field inversion |
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| Affiliation: | 1.College of Meteorology and Oceanography, National University of Defense Technology, Nanjing 211101, China2.Jiangyin River Management Office, Jiangyin 214431, China |
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| Abstract: | In order to improve the inversion of rainfall field using microwave link network, several microwave link networks with different links and different structures are designed according to the actual communication base stations, and the numerical simulation of rainfall field inversion using microwave link network are carried out based on the rainfall field tomography model with CT imaging and Tikhonov regularization. The effect of different networks on the inversion results are discussed. The results show that the inversion results vary with the different microwave link networks, the mean bias and mean absolute bias of the results are between 1.25 to 4.76 mm/h, the means absolute percentage bias is 3.10% to 9.70% and the value of universal quality index(UQI) is between 0.711 to 0.955; there are better inversion results when the networks have more links, higher density and more uniform distribution. This work provides a technical basis for the actual construction and optimization of the microwave link network for rainfall measurement in the next step, which also has practical value for the improvement of heavy precipitation monitoring in the meteorological and hydrological fields. |
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