【摘要】：近年來,廣東等地陸續(xù)建設了業(yè)務運行的雙極化天氣雷達。隨著我國雙極化雷達的發(fā)展步入業(yè)務應用階段,提出了更多亟待開展的研究課題,如探測降雨能力的評估和提高、雷達測量信息可靠性控制等。針對我國業(yè)務運行的雙極化天氣雷達定量測雨精度的評估和提高工作,利用雙極化雷達在目標信息識別技術方面的特殊優(yōu)勢,基于珠海業(yè)務運行的雙極化雷達,本文提出了一種基于目標信息識別技術的雙極化雷達HCA-LIQ最優(yōu)化定量測雨方法。該方法參考了 CSU-ICE最優(yōu)化算法的測量模型,以及利用了雙極化雷達多種測雨公式的優(yōu)勢,并且對公式做了本地化改進。為了對本文提出的HCA-LIQ最優(yōu)化方法的測量效果進行統(tǒng)計分析,利用珠海業(yè)務運行的雙極化雷達和地面實測信息,以兩次華南夏季典型的降雨樣本為例,對HCA-LIQ最優(yōu)化方法的測量偏差進行了時空變化分析,并且與CSU-ICE最優(yōu)化方法、R (ZH)方法進行了對比研究。實驗結果表明:本文HCA-LIQ最優(yōu)化算法表現(xiàn)出與實測結果較強的相關性且有著較好的穩(wěn)定性;三項誤差評估指標均要優(yōu)于CSU-ICE最優(yōu)化算法;與R (ZH)方法相比,HCA-LIQ最優(yōu)化算法很大程度上提高了對大到暴雨的測量精度。進一步對珠海和廣州兩部業(yè)務運行的雙極化雷達做了對比研究。不僅比較分析了兩部雷達在共同覆蓋區(qū)域內對同一降雨樣本探測的雷達電磁輻射強度大小,而且對比了使用HCA-LIQ最優(yōu)化算法進行測雨的效果。實驗結果表明:由于采樣空間的差異、雷達波的衰減、雷達標定的影響,兩部雷達在相同時段探測相同區(qū)域的電磁輻射強度是有差異的;廣州雷達測雨效果的三項評估指標均要明顯優(yōu)于珠海雷達,其主要原因是2016年珠海雷達本身的系統(tǒng)誤差偏大。
[Abstract]:In recent years, Guangdong and other places have been built business operation of dual-polarization weather radar. With the development of dual-polarization radar in China, more and more research topics are put forward, such as the evaluation and improvement of rainfall detection ability, reliability control of radar measurement information and so on. Aiming at the work of evaluating and improving the quantitative rain measurement accuracy of dual-polarization weather radar in our country, the dual polarization radar based on Zhuhai operational dual polarization radar is based on the special advantage of dual polarization radar in target information recognition technology. This paper presents an optimal quantitative rain measurement method for dual polarimetric radar based on target information recognition technology by HCA-LIQ. The method refers to the measurement model of the CSU-ICE optimization algorithm, and makes use of the advantages of many rain measurement formulas of dual-polarization radar, and improves the formula locally. In order to make a statistical analysis of the measurement results of the HCA-LIQ optimization method proposed in this paper, using the dual polarization radar operating in Zhuhai and the ground measured information, two typical rainfall samples in South China in summer are taken as an example. The measurement deviation of HCA-LIQ optimization method is analyzed in time and space, and compared with CSU-ICE optimization method, R (ZH) method. The experimental results show that the HCA-LIQ optimization algorithm has a strong correlation with the measured results and has good stability, and the three error evaluation indexes are better than the CSU-ICE optimization algorithm. Compared with the R (ZH) method, the HCA-LIQ optimization algorithm greatly improves the measurement accuracy of heavy rain. Furthermore, two polarimetric radars operating in Zhuhai and Guangzhou are compared. Not only the intensity of electromagnetic radiation detected by two radars on the same rainfall sample in a common coverage area is compared, but also the effect of using HCA-LIQ optimization algorithm to measure rain is compared. The experimental results show that because of the difference of sampling space, the attenuation of radar wave and the influence of radar calibration, the two radars have different electromagnetic radiation intensity in the same region at the same time. The three evaluation indexes of Guangzhou radar are obviously better than Zhuhai radar. The main reason is that the systematic error of Zhuhai radar in 2016 is on the high side.
【學位授予單位】：南京信息工程大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TN959.4

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