Estimation of raindrop size distribution and rain rate with infrared surveillance camera in dark conditions
نویسندگان
چکیده
Abstract. This study estimated raindrop size distribution (DSD) and rainfall intensity with an infrared surveillance camera in dark conditions. Accordingly, rain streaks were extracted using a k-nearest-neighbor (KNN)-based algorithm. The was DSD based on physical optics analysis. verified disdrometer for the two events. results are summarized as follows. First, KNN-based algorithm can accurately recognize from complex backgrounds captured by camera. Second, number concentration of raindrops obtained through closed-circuit television (CCTV) images had values between 100 1000 mm?1 m?3, root mean square error (RMSE) CCTV PARticle SIze VELocity (PARSIVEL) 72.3 131.6 m?3 0.5 to 1.5 mm section. Third, maximum diameter 1 or less produced similar during period high ratio diameters 3 less. Finally, after comparing 15 min cumulative PARSIVEL rate, absolute percent (MAPE) 49 % 23 %, respectively. In addition, differences according rate that MAPE 36 at than 2 h?1 80 above h?1. Also, when greater 5 h?1, 33 %. We confirmed possibility estimating image-based low-cost equipment
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ژورنال
عنوان ژورنال: Atmospheric Measurement Techniques
سال: 2023
ISSN: ['1867-1381', '1867-8548']
DOI: https://doi.org/10.5194/amt-16-707-2023