% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@ARTICLE{Peuela:203401,
author = {Peñuela, Andrés and Javaux, Mathieu and Bielders, Charles
L.},
title = {{H}ow do slope and surface roughness affect plot-scale
overland flow connectivity?},
journal = {Journal of hydrology},
volume = {528},
issn = {0022-1694},
address = {Amsterdam [u.a.]},
publisher = {Elsevier},
reportid = {FZJ-2015-05344},
pages = {192 - 205},
year = {2015},
abstract = {Surface micro-topography and slope drive the hydrological
response of plots through the gradual filling of depressions
as well as the establishment of hydraulic connections
between overflowing depressions. Therefore, quantifying and
understanding the effects of surface roughness and slope on
plot-scale overland flow connectivity is crucial to improve
current hydrological modeling and runoff prediction. This
study aimed at establishing predictive equations relating
structural and functional connectivity indicators in
function of slope and roughness. The Relative Surface
Connection function (RSCf) was used as a functional
connectivity indicator was applied. Three characteristic
parameters were defined to characterize the RSCf: the
surface initially connected to the outlet, the connectivity
threshold and the maximum depression storage (DSmax).
Gaussian surface elevation fields (6 m × 6 m) were
generated for a range of slopes and roughnesses (sill σ and
range R of the variogram). A full factorial of 6 slopes
$(0–15\%),$ 6 values of R (50–400 mm) and 6 values of σ
(2–40 mm) was considered, and the RSCf calculated for 10
realizations of each combination. Results showed that the
characteristic parameters of the RSCf are greatly influenced
by R, σ and slope. At low slopes and high ratios of σ/2R,
the characteristic parameters of the RSCf appear linked to a
single component of the surface roughness (R or σ). On the
contrary, both R and σ are needed to predict the RSCf at
high slopes and low ratios of σ/2R. A simple
conceptualization of surface depressions as rectangles,
whose shape was determined by R and σ, allowed deriving
simple mathematical expressions to estimate the
characteristic parameters of the RSCf in function of R, σ
and slope. In the case of DSmax, the proposed equation
performed better than previous empirical expressions found
in the literature which do not account for the horizontal
component of the surface roughness. The proposed expressions
allow estimating the characteristic points of the RSCf with
reasonable accuracy and could therefore prove useful for
integrating plot-scale overland flow connectivity into
hydrological models whenever the RSCf presents a
well-defined connectivity threshold.Keywords},
cin = {IBG-3},
ddc = {690},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {255 - Terrestrial Systems: From Observation to Prediction
(POF3-255)},
pid = {G:(DE-HGF)POF3-255},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000358968200017},
doi = {10.1016/j.jhydrol.2015.06.031},
url = {https://juser.fz-juelich.de/record/203401},
}