Next Article in Journal
Improving PM2.5 Forecasting and Emission Estimation Based on the Bayesian Optimization Method and the Coupled FLEXPART-WRF Model
Previous Article in Journal
Deep Convolutional Neural Networks Capabilities for Binary Classification of Polar Mesocyclones in Satellite Mosaics
Article Menu
Issue 11 (November) cover image

Export Article

Open AccessArticle
Atmosphere 2018, 9(11), 427; https://doi.org/10.3390/atmos9110427

The Development of a Methodology for Calibrating a Large-Scale Laboratory Rainfall Simulator

National Disaster Management Research Institute, Ulsan 44538, Korea
*
Author to whom correspondence should be addressed.
Received: 20 September 2018 / Revised: 26 October 2018 / Accepted: 31 October 2018 / Published: 2 November 2018
(This article belongs to the Section Climatology and Meteorology)
Full-Text   |   PDF [3644 KB, uploaded 2 November 2018]   |  

Abstract

The objective of this study was to establish a method to calibrate a large-scale laboratory rainfall simulator through developing and implementing an automated rainfall collection system to assess the reliability and accuracy of a rainfall simulator. The automated rainfall collection system was designed to overcome the limitations caused by the traditional manual measurement for obtaining the rainfall intensity and the spatial rainfall distribution in a large experimental area. The developed automated rainfall collection system was implemented to calibrate a large-scale laboratory rainfall simulator. The adequacy of average rainfall intensities automatically collected from the miniature tipping bucket rain gauges was assessed by comparison with those based on the volumetric method using the flowmeter. The functional relationships between the system variables of the rainfall simulator and the simulated intensity and uniformity distribution of rainfall (i.e., operation models) were derived based on a multiple regression approach incorporating correlation analysis on linear and logarithm scales, with consideration of a significance level. The operation models exhibited high accuracy with respect to both the rainfall intensity and the uniformity coefficients. View Full-Text
Keywords: automated rainfall collection system; large-scale laboratory rainfall simulator; rainfall intensity; spatial rainfall distribution; operation model automated rainfall collection system; large-scale laboratory rainfall simulator; rainfall intensity; spatial rainfall distribution; operation model
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Kim, H.; Ko, T.; Jeong, H.; Ye, S. The Development of a Methodology for Calibrating a Large-Scale Laboratory Rainfall Simulator. Atmosphere 2018, 9, 427.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Atmosphere EISSN 2073-4433 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top