How do slope and surface roughness affect plot-scale overland flow connectivity?

Peñuela, Andres; Javaux, Mathieu; Bielders, Charles

doi:10.1016/j.jhydrol.2015.06.031

Cited by 40 publications

(43 citation statements)

References 30 publications

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“…6). For example, the presence of rills, gullies, storm drains and canals will accelerate the transport processes while increased surface roughness associated with vegetated land plots yields an opposite effect (Bracken and Croke, 2007;Darboux et al, 2001;Jencso et al, 2009;Penuela et al, 2015). In grazing pastures, we observed the compaction of soil along animal paths (trails) due to the trampling of cattle herds.…”

Section: Seasonal Factors and Transport Processesmentioning

confidence: 83%

Prevalence of Cryptosporidium and Giardia in the water resources of the Kuang River catchment, Northern Thailand

Chuah

Mukhaidin

Choy

et al. 2016

Science of The Total Environment

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Section: Seasonal Factors and Transport Processesmentioning

confidence: 83%

Prevalence of Cryptosporidium and Giardia in the water resources of the Kuang River catchment, Northern Thailand

Chuah

Mukhaidin

Choy

et al. 2016

Science of The Total Environment

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“…From the D‐cubed delineation and P2P simulation, the new NACf analysis was developed. Other studies have identified and quantified contributing area by dividing it into two parts, contributing to the outlet and noncontributing area (Antoine et al, ; Peñuela et al, , ). In this study, a noncontributing area was further divided by identifying and quantifying connectivity of areas that were not connected to the outlet to investigate how these ACs changed spatially and temporally.…”

Section: Discussionmentioning

confidence: 99%

Modeling of spatiotemporal variations in runoff contribution areas and analysis of hydrologic connectivity

Grimm

Chu

2018

Land Degrad Dev

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Traditional delineation and modeling methods do not consider the spatial arrangement and dynamic threshold control of surface depressions. Instead, full structural hydrologic connectivity, uniform well‐connected drainage networks, and an invariant contributing area are often assumed. In reality, depressions play an important role in quantifying functional connected areas (ACs) and contributing area. This study is aimed to develop a new procedure to analyze functional hydrologic connectivity related to topography at a mesoscale, specifically in depression‐dominated areas by (a) characterizing surface topography, (b) quantifying and locating dynamic hydrologic connectivity, and (c) analyzing hydrologic connectivity and threshold‐controlled dynamics of contributing area using a set of dimensionless indicators and a new normalized connected area function. Thorough analyses for different topographic surfaces provided improved understanding of the intrinsic relationship and interaction between structural and functional hydrologic connectivity patterns. In addition, the new procedure was compared against a traditional delineation method, terrain analysis using digital elevation models (TauDEM), to determine structural and functional connectivity. It was found that spatial arrangement and scale of depressions had a direct effect on hydrologic connectivity. A stepwise trend, unique to depression‐dominated areas, highlighted the effect of threshold behaviors on contributing area and ACs. Conversely, dendritic surfaces showed an expedited surface connectivity due to the assumption of depressionless topography. Thus, precisely locating and quantifying ACs and contributing area via the new analysis procedure improve our understanding of the mechanisms of topography‐controlled overland flow and sediment transport dynamics, and hence, the findings are valuable in making informed decisions about water quantity and quality across varying topographic surfaces.

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“…When micro‐topography elements are randomly distributed, soil roughness is typically characterized by a single parameter (e.g. RR; Hansen et al , ; Kamphorst et al , ; Smith, ) and strong links between standard roughness indicators (structural connectivity) and functional connectivity are observed (Peñuela et al , ). For such randomly distributed surfaces, the overland flow process consists of a gradual and spatially distributed process of filling, spilling and connection between micro‐depressions (Onstad, ; Darboux et al , ).…”

Section: Introductionmentioning

confidence: 99%

Evolution of overland flow connectivity in bare agricultural plots

Peñuela

Darboux

Javaux

et al. 2016

Earth Surf Processes Landf

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Soil surface roughness not only delays overland flow generation but also strongly affects the spatial distribution and concentration of overland flow. Previous studies generally aimed at predicting the delay in overland flow generation by means of a single parameter characterizing soil roughness. However, little work has been done to find a link between soil roughness and overland flow dynamics. This is made difficult because soil roughness and hence overland flow characteristics evolve differently depending on whether diffuse or concentrated erosion dominates. The present study examined whether the concept of connectivity can be used to link roughness characteristics to overland flow dynamics. For this purpose, soil roughness of three 30-m 2 tilled plots exposed to natural rainfall was monitored for two years. Soil micro-topography was characterized by means of photogrammetry on a monthly basis. Soil roughness was characterized by the variogram, the surface stream network was characterized by network-based indices and overland flow connectivity was characterized by Relative Surface Connection function (RSCf) functional connectivity indicator. Overland flow hydrographs were generated by means of a physically-based overland flow model based on 1-cm resolution digital elevation models. The development of eroded flow paths at the soil surface not only reduced the delay in overland flow generation but also resulted in a higher continuity of high flow velocity paths, an increase in erosive energy and a higher rate of increase of the overland flow hydrograph. Overland flow dynamics were found to be highly correlated to the RSCf characteristic points. By providing information regarding overland flow dynamics, the RSCf may thus serve as a quantitative link between soil roughness and overland flow generation in order to improve the overland flow hydrograph prediction. Elevation at the grid location (i, j) (mm) z(x)Elevation of the point x (mm)

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How do slope and surface roughness affect plot-scale overland flow connectivity?

Cited by 40 publications

References 30 publications

Prevalence of Cryptosporidium and Giardia in the water resources of the Kuang River catchment, Northern Thailand

Prevalence of Cryptosporidium and Giardia in the water resources of the Kuang River catchment, Northern Thailand

Modeling of spatiotemporal variations in runoff contribution areas and analysis of hydrologic connectivity

Evolution of overland flow connectivity in bare agricultural plots

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