Automatic Identification Methods of Ground Raindrop Spectrum Observation and Image

An Yingyu; Jin Fengling; Zhang Yunfeng; Zu Xuemei

Vol.19, NO.2, 2008

Article Contents

Article Navigation > Journal of Applied Meteorological Science > 2008 > 19(2): 188-193

An Yingyu, Jin Fengling, Zhang Yunfeng, et al. Automatic identification methods of ground raindrop spectrum observation and image. J Appl Meteor Sci, 2008, 19(2): 188-193.

Citation:

An Yingyu, Jin Fengling, Zhang Yunfeng, et al. Automatic identification methods of ground raindrop spectrum observation and image. J Appl Meteor Sci, 2008, 19(2): 188-193.

An Yingyu, Jin Fengling, Zhang Yunfeng, et al. Automatic identification methods of ground raindrop spectrum observation and image. J Appl Meteor Sci, 2008, 19(2): 188-193.

Citation:

An Yingyu, Jin Fengling, Zhang Yunfeng, et al. Automatic identification methods of ground raindrop spectrum observation and image. J Appl Meteor Sci, 2008, 19(2): 188-193.

PDF( 1395 KB)

Automatic Identification Methods of Ground Raindrop Spectrum Observation and Image

1.
Department of Atmospheric Sciences, School of Physics, Peking University, Beijing 100871
2.
Heilongjiang Provincial Weather Modification Office, Harbin 150030
3.
Heilongjiang Information Network Center, Harbin 150030

Received Date: 2006-11-16
Rev Recd Date: 2007-08-13
Publish Date: 2008-04-30

Abstract

Abstract

The ground raindrop spectrum observation method is studied. The traditional filter paper sampling method is improved through enlarging the sample area, and increasing the methods of auxiliary observation. The image automatic identification software is designed and put into application in the processing of the raindrop spectrum data. Not only the sample member to obtain stable raindrop spectra data is enlarged by these ways, but also the mutual coordination and the analysis of the data are benefited. It is tested and result error analysis on its image position variation, the shape change, the drop spectrum overlaps and so on is made. The pattern recognition results are not influenced by the location and shape changes of single drop image in the data of the raindrop spectra data. The automatic image procedure is stable and reliable. It is very sensible when the separated drop spectra data are dealt with by the procedure. When many scattered drops formed from big drops, a large member of independent small raindrops will be formed, and it manifests that the splash problem can't be solved. The intelligence of the procedure is not high on the problem of raindrop overlapping each other together and it can't be recognized if the phenomenon of overlap really exists, the overlapped raindrops can't be separated and the overlapped drops can't be taken as one drop, so the member of the observing drops is small. From the error analysis of the raindrop spectra data, the relative error of spot mark diameter is smaller than 6% from 3 mm to 18 mm and the error is controlled within 6% for drops smaller than 4 mm, the error is even smaller when handling the small droplets. The result is obtained that this method is of great accuracy, stable performance, and very practical in the ground raindrop spectrum observation and the data processing. A new thought for the raindrop spectrum data processing analysis is provided and can be applied to the practical work.
- the ground raindrop spectrum;
- image automatic identification;
- error analysis

FullText(HTML)

References(15)

Figures and Tables

图 1 雨滴谱图像识别方法验证

Fig. 1 The test of raindrop spectrum image identification

DownLoad: Full-Size Img PowerPoint

图 2 程序处理结果的误差分析

(a) 雨滴直径, (b) 斑迹直径

Fig. 2 Error analysis of program processing results

(a) raindrop diameter, (b) spot diameter

DownLoad: Full-Size Img PowerPoint

图 3 2004年8月28日18:48(暴露时间:3 min 59 s) 雨滴谱资料 (a) 原始雨滴谱资料, (b) 处理后的雨滴谱资料

Fig. 3 Raindrop spectrum at 18:48 on August 28, 2004 (exposed time:3 min 59 s)(a) original data of raindrop spectrum, (b) processed data of raindrop spectrum

DownLoad: Full-Size Img PowerPoint

图 4 图像处理程序计算出的不同雨滴直径的个数

Fig. 4 Number of different raindrop diameter calculated by image processing program

DownLoad: Full-Size Img PowerPoint

表 1 图像处理程序运行结果

Table 1 Outputs of image processing program

References

[1]	何珍珍. 泰山一次雷雨雨滴谱观测结果∥中国科学院地球物理研究所. 我国云雾降水微物理特征的研究. 北京: 科学出版社, 1965: 69-74.
[2]	邓雪娇, 黄浩辉, 吴兑.广州地区汛期强降水的微物理特征.热带气象学报, 1996, 12(2):167-173. http://www.cnki.com.cn/Article/CJFDTOTAL-RDQX602.008.htm
[3]	李大山.人工影响天气技术体系的研究.北京:气象出版社, 1991:263-265.
[4]	陈金荣, 马生伟.GBPP-100型地面雨滴谱仪测量的可靠性.南京气象学院学报, 1995, 18(2):213-219. http://www.cnki.com.cn/Article/CJFDTOTAL-NJQX502.008.htm
[5]	陈宝君, 李子华, 刘吉成, 等.三类降水云雨滴谱分布模式.气象学报, 1998, 56(4):506-512. http://www.cnki.com.cn/Article/CJFDTOTAL-QXXB804.012.htm
[6]	周毓荃, 刘晓天, 周非非, 等.河南干旱年地面雨滴谱特征.应用气象学报, 2001, 12(增刊):39-47. http://www.cnki.com.cn/Article/CJFDTOTAL-YYQX2001S1005.htm
[7]	陈德林, 谷淑芳.大暴雨雨滴平均谱的研究.气象学报, 1989, 47(1):124-127. http://www.cnki.com.cn/Article/CJFDTOTAL-QXXB198901015.htm
[8]	李珊.湛江一次降水过程的最佳雨滴谱分析.广西气象, 2001, 22(1):30-34. http://www.cnki.com.cn/Article/CJFDTOTAL-GXQX200101008.htm
[9]	江祖凡.庐山暴雨雨滴谱分析.气象科学研究院院刊, 1988, 3 (1):25-31. http://www.cnki.com.cn/Article/CJFDTOTAL-YYQX198801014.htm
[10]	Scheleusener P E. Drop Size Distribution and Energy of Falling Raindrops from a Medium Pressure Irrigation Sprinkler. Michigan State University, East Lansing, 1967:45-48.
[11]	Hall M J. Use of the stain method in determining of the dropsize distribution of coarse liquid sprays. Trans ASAE, 1970, 13 (1):33-37. doi: 10.13031/2013.38528
[12]	Kohl R A. Drop size distribution from medium-sized agricultural sprinklers. Trans ASAE, 1974, 17 (4):690-693. doi: 10.13031/2013.36938
[13]	Roels J M.Personal Communication. Laboratory of PhysicalGeography, Geographical Institute, University of Utrecht, Netherlands, 1981:127-136.
[14]	McCooll D K. Personal Communication. USDA-ARS. Agricultural Engineering Department, Washington State University, Pullman, 1982:67-82.
[15]	许焕斌.衡山云雾微结构起伏的初步观测试验.气象学报, 1964, 34(4):539-547. http://www.cnki.com.cn/Article/CJFDTOTAL-QXXB196404014.htm