Automated rainfall simulator for variable rainfall on urban green areas

Kristoffer Nielsen, Per Møldrup, Søren Liedtke Thorndahl, Jesper Ellerbæk Nielsen, Lene Bassø Duus, Søren Højmark Rasmussen, Mads Uggerby

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

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Resumé

Rainfall simulators can enhance our understanding of the hydrologic processes affecting the total runoff to urban drainage systems. This knowledge can be used to improve urban drainage designs. In this study, a rainfall simulator is developed to simulate rainfall on urban green surfaces. The rainfall simulator is controlled by a microcomputer programmed to replicate the temporal variations in rainfall intensity of both historical and synthetic rainfall events with constant rainfall intensity on an area of 1 m2. The performance of the rainfall simulator is tested under laboratory conditions with regard to spatial uniformity of the rainfall, the kinetic energy of the raindrops, and the ability to replicate historical and synthetic rainfall events with temporally varying intensity. The rainfall simulator is applied in the field to evaluate its functionality under field conditions and the influence of wind on simulated rainfall. Finally, a field study is carried out on the relationship between runoff, soil volumetric water content, and surface slope. Performance and field tests show that the simulated rainfall has a uniform spatial distribution, whereas the kinetic energy of the raindrops is slightly higher than that of other comparable rainfall simulators. The rainfall simulator performs best in low wind speed conditions. The simulator performs well in replicating historical and synthetic rainfall events by matching both intensity variations and accumulated rainfall depth. The field study shows good correlation between rainfall, runoff, infiltration, soil water content, and surface slope.
OriginalsprogEngelsk
TidsskriftHydrological Processes
ISSN0885-6087
DOI
StatusE-pub ahead of print - 2019

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simulator
rainfall
urban drainage
urban green
raindrop
runoff
precipitation intensity
kinetic energy
soil water
water content
temporal variation
infiltration
wind velocity

Bibliografisk note

FUNDING INFORMATION
This research was funded by the Foundation for Development of Technology in the Danish Water Sector, Innovation Fund Denmark, Aarhus Vand, EnviDan, and Aalborg University.

ACKNOWLEDGMENTS
This research was funded by the Foundation for Development of Technology in the Danish Water Sector, Innovation Fund Denmark, Aarhus Vand, EnviDan, and Aalborg University.

DATA AVAILABILITY STATEMENT
The data and scripts that support the findings of this study are available from the corresponding author upon reasonable request.

Emneord

  • Infiltration
  • Pervious surfaces
  • Rainfall–runoff
  • Rainfall simulator
  • Surface runoff
  • Urban drainage
  • Valve control
  • Variable rainfall

Citer dette

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title = "Automated rainfall simulator for variable rainfall on urban green areas",
abstract = "Rainfall simulators can enhance our understanding of the hydrologic processes affecting the total runoff to urban drainage systems. This knowledge can be used to improve urban drainage designs. In this study, a rainfall simulator is developed to simulate rainfall on urban green surfaces. The rainfall simulator is controlled by a microcomputer programmed to replicate the temporal variations in rainfall intensity of both historical and synthetic rainfall events with constant rainfall intensity on an area of 1 m2. The performance of the rainfall simulator is tested under laboratory conditions with regard to spatial uniformity of the rainfall, the kinetic energy of the raindrops, and the ability to replicate historical and synthetic rainfall events with temporally varying intensity. The rainfall simulator is applied in the field to evaluate its functionality under field conditions and the influence of wind on simulated rainfall. Finally, a field study is carried out on the relationship between runoff, soil volumetric water content, and surface slope. Performance and field tests show that the simulated rainfall has a uniform spatial distribution, whereas the kinetic energy of the raindrops is slightly higher than that of other comparable rainfall simulators. The rainfall simulator performs best in low wind speed conditions. The simulator performs well in replicating historical and synthetic rainfall events by matching both intensity variations and accumulated rainfall depth. The field study shows good correlation between rainfall, runoff, infiltration, soil water content, and surface slope.",
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author = "Kristoffer Nielsen and Per M{\o}ldrup and Thorndahl, {S{\o}ren Liedtke} and Nielsen, {Jesper Ellerb{\ae}k} and Duus, {Lene Bass{\o}} and Rasmussen, {S{\o}ren H{\o}jmark} and Mads Uggerby",
note = "FUNDING INFORMATION This research was funded by the Foundation for Development of Technology in the Danish Water Sector, Innovation Fund Denmark, Aarhus Vand, EnviDan, and Aalborg University. ACKNOWLEDGMENTS This research was funded by the Foundation for Development of Technology in the Danish Water Sector, Innovation Fund Denmark, Aarhus Vand, EnviDan, and Aalborg University. DATA AVAILABILITY STATEMENT The data and scripts that support the findings of this study are available from the corresponding author upon reasonable request.",
year = "2019",
doi = "10.1002/hyp.13563",
language = "English",
journal = "Hydrological Processes",
issn = "0885-6087",
publisher = "Wiley",

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Automated rainfall simulator for variable rainfall on urban green areas. / Nielsen, Kristoffer; Møldrup, Per; Thorndahl, Søren Liedtke; Nielsen, Jesper Ellerbæk; Duus, Lene Bassø; Rasmussen, Søren Højmark; Uggerby, Mads.

I: Hydrological Processes, 2019.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

TY - JOUR

T1 - Automated rainfall simulator for variable rainfall on urban green areas

AU - Nielsen, Kristoffer

AU - Møldrup, Per

AU - Thorndahl, Søren Liedtke

AU - Nielsen, Jesper Ellerbæk

AU - Duus, Lene Bassø

AU - Rasmussen, Søren Højmark

AU - Uggerby, Mads

N1 - FUNDING INFORMATION This research was funded by the Foundation for Development of Technology in the Danish Water Sector, Innovation Fund Denmark, Aarhus Vand, EnviDan, and Aalborg University. ACKNOWLEDGMENTS This research was funded by the Foundation for Development of Technology in the Danish Water Sector, Innovation Fund Denmark, Aarhus Vand, EnviDan, and Aalborg University. DATA AVAILABILITY STATEMENT The data and scripts that support the findings of this study are available from the corresponding author upon reasonable request.

PY - 2019

Y1 - 2019

N2 - Rainfall simulators can enhance our understanding of the hydrologic processes affecting the total runoff to urban drainage systems. This knowledge can be used to improve urban drainage designs. In this study, a rainfall simulator is developed to simulate rainfall on urban green surfaces. The rainfall simulator is controlled by a microcomputer programmed to replicate the temporal variations in rainfall intensity of both historical and synthetic rainfall events with constant rainfall intensity on an area of 1 m2. The performance of the rainfall simulator is tested under laboratory conditions with regard to spatial uniformity of the rainfall, the kinetic energy of the raindrops, and the ability to replicate historical and synthetic rainfall events with temporally varying intensity. The rainfall simulator is applied in the field to evaluate its functionality under field conditions and the influence of wind on simulated rainfall. Finally, a field study is carried out on the relationship between runoff, soil volumetric water content, and surface slope. Performance and field tests show that the simulated rainfall has a uniform spatial distribution, whereas the kinetic energy of the raindrops is slightly higher than that of other comparable rainfall simulators. The rainfall simulator performs best in low wind speed conditions. The simulator performs well in replicating historical and synthetic rainfall events by matching both intensity variations and accumulated rainfall depth. The field study shows good correlation between rainfall, runoff, infiltration, soil water content, and surface slope.

AB - Rainfall simulators can enhance our understanding of the hydrologic processes affecting the total runoff to urban drainage systems. This knowledge can be used to improve urban drainage designs. In this study, a rainfall simulator is developed to simulate rainfall on urban green surfaces. The rainfall simulator is controlled by a microcomputer programmed to replicate the temporal variations in rainfall intensity of both historical and synthetic rainfall events with constant rainfall intensity on an area of 1 m2. The performance of the rainfall simulator is tested under laboratory conditions with regard to spatial uniformity of the rainfall, the kinetic energy of the raindrops, and the ability to replicate historical and synthetic rainfall events with temporally varying intensity. The rainfall simulator is applied in the field to evaluate its functionality under field conditions and the influence of wind on simulated rainfall. Finally, a field study is carried out on the relationship between runoff, soil volumetric water content, and surface slope. Performance and field tests show that the simulated rainfall has a uniform spatial distribution, whereas the kinetic energy of the raindrops is slightly higher than that of other comparable rainfall simulators. The rainfall simulator performs best in low wind speed conditions. The simulator performs well in replicating historical and synthetic rainfall events by matching both intensity variations and accumulated rainfall depth. The field study shows good correlation between rainfall, runoff, infiltration, soil water content, and surface slope.

KW - Infiltration

KW - Pervious surfaces

KW - Rainfall–runoff

KW - Rainfall simulator

KW - Surface runoff

KW - Urban drainage

KW - Valve control

KW - Variable rainfall

KW - Infiltration

KW - Pervious surfaces

KW - Rainfall–runoff

KW - Rainfall simulator

KW - Surface runoff

KW - Urban drainage

KW - Valve control

KW - Variable rainfall

U2 - 10.1002/hyp.13563

DO - 10.1002/hyp.13563

M3 - Journal article

JO - Hydrological Processes

JF - Hydrological Processes

SN - 0885-6087

ER -