Quantifying the time‐specific kinetic energy of simulated rainfall using a dynamic rain gauge system

Abstract Raindrop impact derives from the kinetic energy of falling raindrops. Determining the kinetic energy of rainfall requires the size distribution and terminal velocity of raindrops, which necessitates complex instrumentation. To avoid this, empirical relations have been developed that relate...

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Main Authors: Kenneth M. Wacha, Chi‐hua Huang, Peter L. O'Brien, Athanasios N. Papanicolaou, Jerry L. Hatfield
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Agricultural & Environmental Letters
Online Access:https://doi.org/10.1002/ael2.20042
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spelling doaj-1d5a6566fc414702ad82523d8d66a6db2021-06-17T11:55:25ZengWileyAgricultural & Environmental Letters2471-96252021-01-0161n/an/a10.1002/ael2.20042Quantifying the time‐specific kinetic energy of simulated rainfall using a dynamic rain gauge systemKenneth M. Wacha0Chi‐hua Huang1Peter L. O'Brien2Athanasios N. Papanicolaou3Jerry L. Hatfield4USDA‐ARS, National Soil Erosion Research Lab West Lafayette IN 47907 USAUSDA‐ARS, National Soil Erosion Research Lab West Lafayette IN 47907 USAUSDA‐ARS, National Lab. for Agriculture and the Environment 1015 N. University Blvd. Ames IA 50011 USAHydraulics and Sediment Knoxville TN 37919 USAUSDA‐ARS, National Lab. for Agriculture and the Environment 1015 N. University Blvd. Ames IA 50011 USAAbstract Raindrop impact derives from the kinetic energy of falling raindrops. Determining the kinetic energy of rainfall requires the size distribution and terminal velocity of raindrops, which necessitates complex instrumentation. To avoid this, empirical relations have been developed that relate rainfall intensity and the rate of kinetic energy, i.e., time‐specific kinetic energy (KEtime). In this study, a dynamic rain gauge system (DRGS) was used to quantify the KEtime generated by a rainfall simulator without need of measuring raindrop size distributions or impact velocities. In a series of 10 rainfall tests, the KEtime and rainfall intensity were 860.9 (±88.6) J m2 h−1 and 72.1 (±1.9) mm h−1, respectively. Estimated KEtime was found to agree well with the power‐law relation presented by Petrů and Kalibová for high‐intensity simulated rainfall, which are the conditions when higher deviations occur. The DRGS may be a useful tool in quantifying the KEtime of rainfall simulators in hopes to better understand raindrop impact mechanisms.https://doi.org/10.1002/ael2.20042
collection DOAJ
language English
format Article
sources DOAJ
author Kenneth M. Wacha
Chi‐hua Huang
Peter L. O'Brien
Athanasios N. Papanicolaou
Jerry L. Hatfield
spellingShingle Kenneth M. Wacha
Chi‐hua Huang
Peter L. O'Brien
Athanasios N. Papanicolaou
Jerry L. Hatfield
Quantifying the time‐specific kinetic energy of simulated rainfall using a dynamic rain gauge system
Agricultural & Environmental Letters
author_facet Kenneth M. Wacha
Chi‐hua Huang
Peter L. O'Brien
Athanasios N. Papanicolaou
Jerry L. Hatfield
author_sort Kenneth M. Wacha
title Quantifying the time‐specific kinetic energy of simulated rainfall using a dynamic rain gauge system
title_short Quantifying the time‐specific kinetic energy of simulated rainfall using a dynamic rain gauge system
title_full Quantifying the time‐specific kinetic energy of simulated rainfall using a dynamic rain gauge system
title_fullStr Quantifying the time‐specific kinetic energy of simulated rainfall using a dynamic rain gauge system
title_full_unstemmed Quantifying the time‐specific kinetic energy of simulated rainfall using a dynamic rain gauge system
title_sort quantifying the time‐specific kinetic energy of simulated rainfall using a dynamic rain gauge system
publisher Wiley
series Agricultural & Environmental Letters
issn 2471-9625
publishDate 2021-01-01
description Abstract Raindrop impact derives from the kinetic energy of falling raindrops. Determining the kinetic energy of rainfall requires the size distribution and terminal velocity of raindrops, which necessitates complex instrumentation. To avoid this, empirical relations have been developed that relate rainfall intensity and the rate of kinetic energy, i.e., time‐specific kinetic energy (KEtime). In this study, a dynamic rain gauge system (DRGS) was used to quantify the KEtime generated by a rainfall simulator without need of measuring raindrop size distributions or impact velocities. In a series of 10 rainfall tests, the KEtime and rainfall intensity were 860.9 (±88.6) J m2 h−1 and 72.1 (±1.9) mm h−1, respectively. Estimated KEtime was found to agree well with the power‐law relation presented by Petrů and Kalibová for high‐intensity simulated rainfall, which are the conditions when higher deviations occur. The DRGS may be a useful tool in quantifying the KEtime of rainfall simulators in hopes to better understand raindrop impact mechanisms.
url https://doi.org/10.1002/ael2.20042
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