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@ARTICLE{CaviedesVoullieme:894101,
author = {Caviedes Voullieme, Daniel and Ahmadinia, Ebrahim and Hinz,
Christoph},
title = {{I}nteractions of {M}icrotopography, {S}lope and
{I}nfiltration {C}ause {C}omplex {R}ainfall‐{R}unoff
{B}ehavior at the {H}illslope {S}cale for {S}ingle
{R}ainfall {E}vents},
journal = {Water resources research},
volume = {57},
number = {7},
issn = {1944-7973},
address = {New York},
publisher = {Wiley},
reportid = {FZJ-2021-03040},
pages = {e2020WR028127},
year = {2021},
abstract = {Microtopography (MT) can govern runoff dynamics as a net
result of local heterogeneities in the flow paths and
ponding. This in turn controls the development of the
surface water layer that connects and flows downslope. It is
therefore important to understand which microtopographic
features affect runoff generation dynamics and its
macroscopic—hillslope scale—hydrological signatures
(e.g., hydrographs, runoff and infiltration volumes). In
this study, we numerically solve 2D overland flow from a
single rain pulse on 1,460 idealized hillslopes with
different slopes and sinusoidal microtopographies and
different infiltration capacities. We assess hydrodynamic
distributions, hydrographs and hydrological indices to
assess the effects of MT and infiltration on the (local)
hydrodynamic and (larger scale) hydrologic responses in
terms of surface runoff regimes. The results show that MT
enhances infiltration and that infiltration and runoff
depend in a strong non-linear way on slope and the
properties of MT. Three regimes of influence of MT were
identified: one in which MT plays a negligible role but
there is a high sensitivity to the infiltration capacity
curve, a second regime in which hydrological partitioning is
highly sensitive to MT and the infiltration capacity curve,
and a third regime in which MT increases infiltration, but
the response is insensitive to particular features, and more
affected by the average slopes. The regimes are the product
of the interplay between small (MT) and large scale (slope)
properties. Furthermore, the results suggest that
hydrological signatures can be interpreted and explained by
the spatiotemporal variation of surface connectivity.},
cin = {IBG-3 / JSC},
ddc = {550},
cid = {I:(DE-Juel1)IBG-3-20101118 / I:(DE-Juel1)JSC-20090406},
pnm = {2152 - Water resources and the environment (POF4-215) /
5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
(SDLs) and Research Groups (POF4-511) / 2173 -
Agro-biogeosystems: controls, feedbacks and impact
(POF4-217)},
pid = {G:(DE-HGF)POF4-2152 / G:(DE-HGF)POF4-5111 /
G:(DE-HGF)POF4-2173},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000680092200024},
doi = {10.1029/2020WR028127},
url = {https://juser.fz-juelich.de/record/894101},
}