Enhancing Experimental Reliability Through Rainfall Simulator Calibration Under Intense Rainfall Rates

Acknowledging the benefit of Rainfall Simulators (RS) is continuously growing among researcher, mainly for laboratory-scale models where natural rainfall is either unavailable or inconsistent. RS put forward a reliable platform for replicating specific rainfall events under standardized set-up, making them invaluable for erosion, hydrology, and slope stability research needs. The present work offered a cost-effective Dripping Rainfall Simulator (DRS) for application on a 1.2 m² test plot area. After several standardizations, the DRS that produces replicable storms of rainfall (at 60 mm/hr and 120 mm/hr) demonstrated satisfactory spatial uniformity, with Christiansen’s uniformity coefficients (CUC) coverage ranging from 81.18–88.69% distribution across the monitoring plot. Additionally, the mean diameters (Dm ) and median volumetric drop diameters (D50), measured using a flour-pellet method, were found to extend from 3.8–4.4 mm and 2.7–3.1 mm independently which line up well with values reported in previous research. The relative terminal velocity (VT ) calculated was attained to range between 8.59–8.92 m/s with energy flux from 36.88 to 39.77 J/mm/m2 . These findings verify the RS capability to replicate natural rainfall with considerable accuracy let alone provide a strong foundation to be used in future applications in experimental modelling. From the basis of this study regarding RS, researchers will be able to create events-scale physical models in their relevant engineering areas.

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Publication Details

Journal
Jurnal Kejuruteraan
Published
2026-10-30
DOI
https://doi.org/10.17576/jkukm-2026-38(7)-25
Primary Topic
Precipitation Measurement and Analysis
Type
article
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article

Enhancing Experimental Reliability Through Rainfall Simulator Calibration Under Intense Rainfall Rates

Vynotdni Rathinasamy, Mastura Azmi, Dayang Zulaika Abang Hasbollah, Mohd Firdaus Md Dan et al.
Jurnal Kejuruteraan
Precipitation Measurement and Analysis
article

Enhancing Experimental Reliability Through Rainfall Simulator Calibration Under Intense Rainfall Rates

Vynotdni Rathinasamy, Mastura Azmi, Dayang Zulaika Abang Hasbollah, Mohd Firdaus Md Dan, Mohamad Syazwan Mohd Roslee, Ahmad Zharfan Ahmad Husaini, Anis Adriana Mohd Rashid
article en

Abstract

Acknowledging the benefit of Rainfall Simulators (RS) is continuously growing among researcher, mainly for laboratory-scale models where natural rainfall is either unavailable or inconsistent. RS put forward a reliable platform for replicating specific rainfall events under standardized set-up, making them invaluable for erosion, hydrology, and slope stability research needs. The present work offered a cost-effective Dripping Rainfall Simulator (DRS) for application on a 1.2 m² test plot area. After several standardizations, the DRS that produces replicable storms of rainfall (at 60 mm/hr and 120 mm/hr) demonstrated satisfactory spatial uniformity, with Christiansen’s uniformity coefficients (CUC) coverage ranging from 81.18–88.69% distribution across the monitoring plot. Additionally, the mean diameters (Dm ) and median volumetric drop diameters (D50), measured using a flour-pellet method, were found to extend from 3.8–4.4 mm and 2.7–3.1 mm independently which line up well with values reported in previous research. The relative terminal velocity (VT ) calculated was attained to range between 8.59–8.92 m/s with energy flux from 36.88 to 39.77 J/mm/m2 . These findings verify the RS capability to replicate natural rainfall with considerable accuracy let alone provide a strong foundation to be used in future applications in experimental modelling. From the basis of this study regarding RS, researchers will be able to create events-scale physical models in their relevant engineering areas.

Jurnal KejuruteraanVol. 38(7)
Universiti Sains Malaysia (MY), University of Technology Malaysia (MY), Tun Hussein Onn University of Malaysia (MY)
Openalex Percentile: Top 21%
Precipitation Measurement and Analysis
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Enhancing Experimental Reliability Through Rainfall Simulator Calibration Under Intense Rainfall Rates — Vynotdni Rathinasamy, Mastura Azmi, et al. · Jurnal Kejuruteraan (2026) | TGRS Research Map | TGRS