Influence Of Drop Size Distribution And Kinetic Energy In Laboratory Rainfall Simulation
Numerous scientific evidence has given credence to the true existence and deleterious impacts of climate change on slope. Different means of hydrological data collection have developed and used to replicate the natural rainfall on laboratory scale model even though it is difficult. The aim of thi...
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| Main Author: | |
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| Format: | Monograph |
| Language: | English |
| Published: |
Universiti Sains Malaysia
2022
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| Subjects: | |
| Online Access: | http://eprints.usm.my/57605/1/Influence%20Of%20Drop%20Size%20Distribution%20And%20Kinetic%20Energy%20In%20Laboratory%20Rainfall%20Simulation.pdf http://eprints.usm.my/57605/ |
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| Summary: | Numerous scientific evidence has given credence to the true existence and
deleterious impacts of climate change on slope. Different means of hydrological data
collection have developed and used to replicate the natural rainfall on laboratory scale
model even though it is difficult. The aim of this paper was to use a drip-type rainfall
simulator to design, build, calibrate, and run a simulated rainfall. Rainfall intensities of
60 and 80 mm/h were used to represent heavy rainfall events of one hour duration. Flour
pellet methods and sieve analysis were used to obtain the drop size distribution of the
simulated rainfall. The results show that the average drop size for all investigated rainfall
intensities ranging from 4 - 5 mm. The median value of the drop size distribution or
known as D50 of simulated rainfall for 60 and 80 mm/h are 4.03 and 5.12 mm,
respectively. Due to the comparatively low drop height of 2.3 m, the terminal velocities
monitored were between 75% which is 8.82 for 60 mm/hr and 9.11 for 80 mm/hr, were
lower than the value for natural rainfall with more than 90% for terminal velocities. This
condition also reduces rainfall kinetic energy of 27.42- 28.51 J/m2mm compared to
natural rainfall. This also contribute to small mass movement of soil because there is no
significant change in slope surface during simulation. This phenomenon, which
represents the best interchange between all pertinent rainfall parameters found with the
particular simulator setup, is relatively prevalent in portable rainfall simulators. The
unpredictable and erratic changeability of natural rainfall is eliminated because rainfall
may be regulated. The main focus is on drip-type rainfall simulators, which produce
properties of rainfall that are almost identical to those of actual rainfall. |
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