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Comparative analysis of event runoff coefficients and curve numbers in contrasting urban environments based on observed rainfall-runoff data
ID Alivio, Mark Bryan (Author), ID Radinja, Matej (Author), ID Šraj, Mojca (Author), ID Gribovszki, Zoltán (Author), ID Bezak, Nejc (Author)

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Abstract
Recently, there has been a growing recognition that the generic values of runoff coefficient (C) and curve number (CN) from standard lookup tables in the literature may not accurately capture the specific characteristics of a given catchment. This study aims to estimate and compare the event C and CN of two contrasting urban catchments in Ljubljana, Slovenia using observed rainfall-runoff data. Estimated parameter values were compared to the tabulated values from the literature (i.e., ASCE, 1992; USDA-NRCS, 2004). Seasonal changes of C and CN, along with diurnal streamflow patterns, were also analyzed to understand the eco-hydrological processes in the urban forest. The results demonstrated that the urban mixed forest exhibited high variability of Cs across all rainfall events with a mean and median of 0.11 and 0.062, respectively. Most of the C values observed in the urban area are clustered around the central tendency with a mean and median of 0.60. These mean C values in both catchments were lower than the tabulated values in the ASCE (1992) design manual. Mean and median CN values in the urban area were 95.45 and 96.81, respectively, lower than the urban mixed forest’s CN values of 82.69 and 83.95. An asymptotic CN$_∞$ of 90.69 was found for the urban area and 71.71 for the urban mixed forest. Central tendency-derived CN values tend to be slightly higher than the tabulated values from USDA-NRCS (2004) and gridded values from GCN250 (Jaafar et al., 2019), while asymptotic CN$_∞$ values were lower. Using central tendency measures as the single lumped value of C and CN may provide a reasonable representation of the runoff behavior in the studied urban area. However, this may present certain challenges in the urban forest catchment. Additionally, pre-event soil moisture conditions and specific storm characteristics contributed to the observed variations in C and CN. Bi-monthly analysis showed that C and CN were high during the autumn and winter months. Diurnal streamflow pattern is most prevalent during low-flow and precipitation-free periods while exhibiting seasonal structures in terms of the shape and timing of maxima and minima. Local estimation of C and CN allows for a more tailored representation of the catchment’s hydrological behavior.

Language:English
Keywords:curve number, runoff coefficient, rainfall-runoff, urban mixed forest, diurnal cycle, streamwater viscosity
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FGG - Faculty of Civil and Geodetic Engineering
Publication status:Published
Publication version:Version of Record
Year:2024
Number of pages:18 str.
Numbering:Vol. 645, pt. A, art. 132135
PID:20.500.12556/RUL-164300 This link opens in a new window
UDC:556
ISSN on article:1879-2707
DOI:10.1016/j.jhydrol.2024.132135 This link opens in a new window
COBISS.SI-ID:212140291 This link opens in a new window
Publication date in RUL:21.10.2024
Views:121
Downloads:36
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Record is a part of a journal

Title:Journal of hydrology
Shortened title:J. hydrol.
Publisher:Elsevier
ISSN:1879-2707
COBISS.SI-ID:188356611 This link opens in a new window

Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.

Secondary language

Language:Slovenian
Keywords:CN parameter, koeficient odtoka, padavinski odtok, urbani mešani gozd, dnevni cikel, viskoznost vodotoka

Projects

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:N2-0313
Name:Lokalni vplivi na površinski odtok

Funder:Other - Other funder or multiple funders
Funding programme:National Research, Development, and Innovation Office, OTKA
Project number:SNN143972

Funder:Other - Other funder or multiple funders
Funding programme:CELSA
Name:Interception experimentation and modeling for enhanced impact analysis of nature-based solutions

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P2-0180
Name:Vodarstvo in geotehnika: orodja in metode za analize in simulacije procesov ter razvoj tehnologij

Funder:ARIS - Slovenian Research and Innovation Agency
Funding programme:Young researchers

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