Simplified Probabilistic-Topologic Model for Reproducing Hillslope Rill Network Surface Runoff

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Abstract

This work presents a simplified probabilistic-topologic model for reproducing rill network surface runoff on a square-plane hillslope. The model requires only two parameters: the first is related to the production capacity of overland flow of the hillslope, at the initial conditions of the process, and the second depends on the sinuosity of the rill network. From a hydrological point of view, the following parameters account for the effects that essentially delineate the hydrologic response of a natural hillslope: rainfall intensity, hillslope roughness, and slope. Obviously, the reliability of the model is pending experimental validation that has only just begun. However, a preliminary experiment conducted on a 1.0x1.3-m test plot, with variable slope, has produced promising first results.
Lingua originaleEnglish
pagine (da-a)1-6
Numero di pagine6
RivistaJOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING
Volume141
Stato di pubblicazionePublished - 2015

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probabilistic models
rill
Statistical Models
hillslope
Runoff
runoff
rain intensity
overland flow
roughness
Rain
Surface roughness
precipitation intensity
Experiments
testing
experiment
parameter

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Water Science and Technology
  • Agricultural and Biological Sciences (miscellaneous)

Cita questo

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title = "Simplified Probabilistic-Topologic Model for Reproducing Hillslope Rill Network Surface Runoff",
abstract = "This work presents a simplified probabilistic-topologic model for reproducing rill network surface runoff on a square-plane hillslope. The model requires only two parameters: the first is related to the production capacity of overland flow of the hillslope, at the initial conditions of the process, and the second depends on the sinuosity of the rill network. From a hydrological point of view, the following parameters account for the effects that essentially delineate the hydrologic response of a natural hillslope: rainfall intensity, hillslope roughness, and slope. Obviously, the reliability of the model is pending experimental validation that has only just begun. However, a preliminary experiment conducted on a 1.0x1.3-m test plot, with variable slope, has produced promising first results.",
author = "Giorgio Baiamonte and Francesco D'Asaro and Giovanni Grillone",
year = "2015",
language = "English",
volume = "141",
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journal = "JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING",
issn = "0733-9437",

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TY - JOUR

T1 - Simplified Probabilistic-Topologic Model for Reproducing Hillslope Rill Network Surface Runoff

AU - Baiamonte, Giorgio

AU - D'Asaro, Francesco

AU - Grillone, Giovanni

PY - 2015

Y1 - 2015

N2 - This work presents a simplified probabilistic-topologic model for reproducing rill network surface runoff on a square-plane hillslope. The model requires only two parameters: the first is related to the production capacity of overland flow of the hillslope, at the initial conditions of the process, and the second depends on the sinuosity of the rill network. From a hydrological point of view, the following parameters account for the effects that essentially delineate the hydrologic response of a natural hillslope: rainfall intensity, hillslope roughness, and slope. Obviously, the reliability of the model is pending experimental validation that has only just begun. However, a preliminary experiment conducted on a 1.0x1.3-m test plot, with variable slope, has produced promising first results.

AB - This work presents a simplified probabilistic-topologic model for reproducing rill network surface runoff on a square-plane hillslope. The model requires only two parameters: the first is related to the production capacity of overland flow of the hillslope, at the initial conditions of the process, and the second depends on the sinuosity of the rill network. From a hydrological point of view, the following parameters account for the effects that essentially delineate the hydrologic response of a natural hillslope: rainfall intensity, hillslope roughness, and slope. Obviously, the reliability of the model is pending experimental validation that has only just begun. However, a preliminary experiment conducted on a 1.0x1.3-m test plot, with variable slope, has produced promising first results.

UR - http://hdl.handle.net/10447/104319

M3 - Article

VL - 141

SP - 1

EP - 6

JO - JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING

JF - JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING

SN - 0733-9437

ER -