基于距离判别法的雹云识别模型
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摘要
【目的】提高雹云识别准确率,降低因冰雹造成的经济损失。【方法】依据气象雷达反射率图像,利用Kmeans聚类提取云层的内外轮廓,计算其距离方差;利用雷达软件提取云高数据并计算云高的一阶统计测度;将云层内外层轮廓的距离方差与云高一阶统计测度相结合,构造雹云判别模型。【结果】利用此模型对已有样本检测,可知该模型识别率判别准确率为88.75%,准确率较高。【结论】通过内外轮廓方差与云高一阶统计测度构造的距离判别模型有较好的判别效果。
【Objective】Improving the accuracy of hail cloud identification can reduce the economic losses caused by hail.【Methods】According to the meteorological radar reflectivity image,the inner and outer contours of the clouds were extracted using K-means clustering,and the distance variance was calculated.The radar software was used to extract the cloud height data and calculate the first-order statistical measure of the cloud height.The distance variance of the inner and outer layers of the cloud was combined with the first-order statistical measure of the cloud height to construct a hail cloud recognition model.【Results】Using this model to detect existing samples,we could see that the recognition accuracy of the model was 88.75%,and the accuracy was higher.【Conclusion】The results showed that the distance recognition model constructed by the internal and external contour variance and the first-order statistical measure of cloud height had a better recognition effect.
【Objective】Improving the accuracy of hail cloud identification can reduce the economic losses caused by hail.【Methods】According to the meteorological radar reflectivity image,the inner and outer contours of the clouds were extracted using K-means clustering,and the distance variance was calculated.The radar software was used to extract the cloud height data and calculate the first-order statistical measure of the cloud height.The distance variance of the inner and outer layers of the cloud was combined with the first-order statistical measure of the cloud height to construct a hail cloud recognition model.【Results】Using this model to detect existing samples,we could see that the recognition accuracy of the model was 88.75%,and the accuracy was higher.【Conclusion】The results showed that the distance recognition model constructed by the internal and external contour variance and the first-order statistical measure of cloud height had a better recognition effect.
引文
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[10]王雪,李国东,廖飞佳.雹云图像的识别指标设计[J].哈尔滨理工大学学报,2016,21(1):46-50.WANG X,LI G D,LIAO F J.Design the recognition index of hail cloud image[J].Journal of Harbin University of Science and Technology,2016,21(1):46-50.
[11]王雪,李国东.快速聚类和3阶CNN算法在雹云判别中的应用[J].湖南科技大学学报:自然科学版,2016,31(3):123-128.WANG X,LI G D.Application of K-means clustering and CNN algorithm in hail cloud determination[J].Journal of Hunan University of Science&Technology:Natural Science Edition,2016,31(3):123-128.
[12]刘鹏,蔡衡,黄天福.冰雹云识别和作业时机的选择[J].农业服务,2011,28(2):255-256.LIU P,CAI H,HUANG T F.Identification of hail clouds and timing of operations[J].Agricultural Services,2011,28(2):255-256.
[2]COTTON W R,TRIPOLI G J,RAUBER R M,et al.Numerical simulation of the effects of varying ice crystal nucleation rates and aggregation processes on orographic snowfall[J].Journal of Applied Meteorology,1986,25(11):1658-1680.
[3]AUER A H JR.Hail recognition through the combined use of radar reflectivity and cloud-top temperatures[J].Monthly Weather Review,1994,122(9):2218-2221.
[4]SMYTH T J,BLACKMAN T M,ILLINGWORTH AJ.Observations of oblate hail using dual polarization radar and implications for hail-detection schemes[J].Quarterly Journal of the Royal Meteorological Society,1999,125(555):993-1016.
[5]WITT A,EILTS M D,STUMPF G J,et al.An enhanced hail detection algorithm for the WSR-88D[J].Weather and Forecasting,1998,13(2):286-303.
[6]夏文梅,王晓君,孙康远,等.V型缺口在C波段多普勒雷达中的应用研究[J].气象,2016,42(1):67-73.XIA W M,WANG X J,SUN K Y,et al.Application study of'V'notch used in C band doppler radar[J].Meteorological Monthly,2016,42(1):67-73.
[7]路志英,刘海,贾惠珍,等.基于雷达反射率图像特征的冰雹暴雨识别[J].物理学报,2014,63(18):189201.LU Z Y,LIU H,JIA H Z,et al.Recognition of hail and rainstorm based on the radar reflectivity image features[J].Journal of Physics,2014,63(18):189201.
[8]李少云,王德良,樊志超,等.郴州市冰雹天气预测预警及人工防雹方法研究[J].南方农业,2014,8(27):156-158.LI S Y,WANG D L,FAN Z C,et al.Research on hail weather predict and forecast and artificial hail suppression method in Chenzhou city[J].South China Agriculture,2014,8(27):156-158.
[9]徐艳华.冰雹的预测及其防治[J].气象水文海洋仪器,2009,26(3):159-161.XU Y H.Hail prediction and prevention[J].Meteorological,Hydrological and Marine Instruments,2009,26(3):159-161.
[10]王雪,李国东,廖飞佳.雹云图像的识别指标设计[J].哈尔滨理工大学学报,2016,21(1):46-50.WANG X,LI G D,LIAO F J.Design the recognition index of hail cloud image[J].Journal of Harbin University of Science and Technology,2016,21(1):46-50.
[11]王雪,李国东.快速聚类和3阶CNN算法在雹云判别中的应用[J].湖南科技大学学报:自然科学版,2016,31(3):123-128.WANG X,LI G D.Application of K-means clustering and CNN algorithm in hail cloud determination[J].Journal of Hunan University of Science&Technology:Natural Science Edition,2016,31(3):123-128.
[12]刘鹏,蔡衡,黄天福.冰雹云识别和作业时机的选择[J].农业服务,2011,28(2):255-256.LIU P,CAI H,HUANG T F.Identification of hail clouds and timing of operations[J].Agricultural Services,2011,28(2):255-256.
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