6533b832fe1ef96bd129ab36
RESEARCH PRODUCT
Simulated raindrop's characteristic measurements. A new approach of image processing tested under laboratory rainfall simulation
Zahra AbdollahiAtaollah KavianMoghadaseh FallahMaziar MohammadiArtemi Cerdàsubject
Drop size010504 meteorology & atmospheric sciencesHigh abilityDrop (liquid)NozzleImage processing04 agricultural and veterinary sciences01 natural sciencesEdge detectionRainfall simulation040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceSurface runoff0105 earth and related environmental sciencesEarth-Surface ProcessesRemote sensingdescription
Abstract The size of the drops determines soil erosion and runoff rates, and then the fate of ecosystems. Various raindrop measurement techniques and tools have been developed to determine natural and simulated raindrop size distributions and mean drop size. There is a need to improve the procedure to determine the raindrop properties, and this is why we develop a new technique to analyze drop size distribution and fall velocity. For this purpose a rainfall simulator with two oscillating Veejet 80100 nozzles in laboratory condition, and high speed imaging technique and edge detection approach in image processing was applied to identify and measure drop size and calculate drop velocity. The results showed that the rainfall simulator was able to create drops with diameter in the range from 0.2 to 9.9 mm. Fall velocity ranged from 0.8 to 9.2 m/s for different diameter classes in the height of 0.5 m above the ground. The results indicate that the low-cost technique developed in this paper had high ability to automatically and rapidly identify raindrops characteristics with high accuracy. This technique can help to calibrate other rainfall simulators, but also to characterize natural rainfall events in different regions, which is a worldwide need due to the lack of information, and the importance of the raindrop characteristic to characterize and model the soil erosion processes.
year | journal | country | edition | language |
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2018-08-01 | CATENA |