A particle tracking velocimetry technique for drop characterization in agricultural sprinklers

Bautista-Capetillo, Carlos; Robles, O.; Salinas, Humberto; Playán, E.

doi:10.1007/s00271-014-0440-6

Cited by 26 publications

(19 citation statements)

References 34 publications

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“…PTV is a nonintrusive image-based approach used to trace the velocity of individual particles along trajectories and has been widely applied to determine the particle velocities in both laboratory and field settings [27][28][29][30][31][32][33]. It mainly consists of two steps: individual particle identification and particle tracking.…”

Section: Ptvmentioning

confidence: 99%

Thermal Infrared Imagery Integrated with Terrestrial Laser Scanning and Particle Tracking Velocimetry for Characterization of Landslide Model Failure

Niu

Liu

et al. 2019

Sensors

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A laboratory model test is an effective method for studying landslide risk mitigation. In this study, thermal infrared (TIR) imagery, a modern no-contact technique, was introduced and integrated with terrestrial laser scanning (TLS) and particle tracking velocimetry (PTV) to characterize the failure of a landslide model. The characteristics of the failure initiation, motion, and region of interest, including landslide volume, deformation, velocity, surface temperature changes, and anomalies, were detected using the integrated monitoring system. The laboratory test results indicate that the integrated monitoring system is expected to be useful for characterizing the failure of landslide models. The preliminary results of this study suggest that a change in the relative TIR signal (ΔTIR) can be a useful index for landslide detection, and a decrease in the average value of the temperature change ( Δ T I R ¯ ) can be selected as a precursor to landslide failure.

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Section: Ptvmentioning

confidence: 99%

Thermal Infrared Imagery Integrated with Terrestrial Laser Scanning and Particle Tracking Velocimetry for Characterization of Landslide Model Failure

Niu

Liu

et al. 2019

Sensors

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“…Las calibraciones, son necesarias y para ello se utilizan en muchos casos disdrómetros (Iserloh, et al, 2013). En el segundo caso, se estudia la distribución de los tamaños de gota, su velocidad, su forma y su ángulo y fuerza de impacto (Bautista-Capetillo, et al, 2014), incluyendo en los objetivos el desarrollo y mejora de sistemas de riego.…”

Section: Fig 3: Fotografía a La Izquierda De Ensayo Con Simulador unclassified

Caracterización del espectro disdrométrico de la precipitación y aplicaciones

Angulo‐Martínez¹,

Beguerı́a²

2016

Clima, Sociedad, Riesgos Y Ordenación Del Territorio

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RESUMENLos nuevos sistemas de medida basados en el carácter intrínsecamente discreto de la precipitación (corriente de partículas individuales: gotas de lluvia, copos de nieve, etc.) han incrementado la precisión en el registro de eventos de precipitación. Estos instrumentos de medida, denominados disdrómetros ópticos o espectropluviómetros, son capaces de caracterizar el espectro disdrométrico de la precipitación o distribución de frecuencias del tamaño y velocidad de las gotas. Esta información permite calcular variables integradas como la densidad de gotas o la masa de agua por unidad de volumen de aire, la intensidad y volumen de la precipitación, la energía cinética, la visibilidad o la reflectividad de radar, además de clasificar los meteoros (lluvia, lluvia fina, granizo, nieve, etc). Más allá del interés aplicado de estas variables, el análisis de la información disdrométrica durante episodios de precipitación concretos permite indagar sobre los mecanismos genéticos y de evolución de los meteoros. La información disdrométrica junto con el radar meteorológico permite validar la precipitación obtenida a través de los satélites u otros medios de teledetección de la precipitación. En esta comunicación se presenta una revisión de la información disdrométrica y su evolución, con ejemplos de aplicación.Palabras clave: disdrómetro; dsd; radar meteorológico; teledetección de la precipitación. ABSTRACTNew precipitation measurement devices, based on the precipitation discrete character (individual particles flow: as raindrops, snowflakes, etc.) have improved the accuracy in recording precipitation events and its characteristics. These devices, known as optical disdrometers or spectropluviometers allow characterizing the precipitation particle spectrum or the size and velocity frequency distribution of the precipitation particles. This information allows estimating integrate values as raindrops density, the water content per volume of air, precipitation intensity and precipitation amount, kinetic energy, visibility and radar reflectivity, besides hydrometeors classification (rain, drizzle, hail, snow, etc). Apart from the applied interest, the analysis of precipitation particle spectrum, during precipitation events, informs on precipitation genetic mechanisms and their evolution. In addition, disdrometers, in combination with meteorological radars, are useful tools for validating precipitation satellite data, and other remote sensing precipitation products. This article reviews the measurement evolution of disdrometric information providing some application examples.

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“…Different experimental methods for evaluating droplet characteristics have been reported in the literature [30][31][32] . The experiment was designed to characterize droplets from distances at the end of a wetted radius of the sprinklers at the four experimental pressures.…”

Section: Droplet Characterization Experimentsmentioning

confidence: 99%

Comparison of droplet distributions from fluidic and impact sprinklers

Zhu¹,

Yuan²,

Liu³

et al. 2015

Front. Agr. Sci. Eng.

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To adapt to the trend toward low-energy precision irrigation, the droplet distributions for two new prototype sprinklers, outside signal sprinkler (OS) and fluidic sprinkler (FS), were compared with impact sprinkler (IS). A laser precipitation monitor was used to measure the droplet distributions. Droplet size and velocity distributions were tested under four operating pressures for nozzles 1.5 m above the ground. For the operating pressures tested, the mean OS, FS and IS droplet diameters ranged from 0 to 3.4, 0 to 3.5, 0 to 4.0 mm, respectively. The mean OS and FS droplet velocities ranged from 0 to 6.3 m$s greater velocity than OS and FS. A new empirical equation is proposed for determination of droplet size for OS and FS, which is sufficiently accurate and simple to use. Basic statistics for droplet size and velocity were performed on data obtained by the photographic methods. The mean droplet diameter (arithmetic, volumetric and median) decreased and the mean velocity increased in operating pressure for the three types of sprinkler.

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A particle tracking velocimetry technique for drop characterization in agricultural sprinklers

Cited by 26 publications

References 34 publications

Thermal Infrared Imagery Integrated with Terrestrial Laser Scanning and Particle Tracking Velocimetry for Characterization of Landslide Model Failure

Thermal Infrared Imagery Integrated with Terrestrial Laser Scanning and Particle Tracking Velocimetry for Characterization of Landslide Model Failure

Caracterización del espectro disdrométrico de la precipitación y aplicaciones

Comparison of droplet distributions from fluidic and impact sprinklers

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