Assessing hydrological connectivity development by using a photogrammetric technique with relative surface connection function (RSCf) in a plot-scale experiment

Wang, S.; Strauß, Peter; Yao, Affoué Berthe; Wang, X.; Yuan, Yanbin

doi:10.2489/jswc.73.5.518

Cited by 5 publications

(9 citation statements)

References 56 publications

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“…Average flow path length in the study plot decreased, while the average contributing area increased. This observation is in accordance with the conclusion by,for example, Peñuela et al (2016) and Wang et al (2018) that hydrological connectivity increases during a sequence of runoff events.…”

Section: Discussionsupporting

confidence: 93%

“…The overall reduction in RR during snow cover and melt is in accordance with all studies that quantify this change (e.g. Römkens and Wang, 1987;Haubrock et al, 2009;Wang et al, 2018). The decrease in RR in this study is an order of magnitude smaller than studies characterized by intense runoff, such as .…”

Section: Discussionsupporting

confidence: 90%

“…; Wang et al. ). The decrease in RR in this study is an order of magnitude smaller than studies characterized by intense runoff, such as (Eltner et al.…”

Section: Discussionsupporting

confidence: 68%

“…; Wang et al. ). At the plot and field scales, quantitative knowledge of microtopography therefore is a key factor for understanding and simulating overland flow.…”

Section: Introductionmentioning

confidence: 99%

“…De Roo et al, 1996). Temporary storage and infiltration of overland flow in sinks also determine how hydrological connectivity develops during a runoff event (Darboux and Huang, 2001;Peñuela et al, 2016;Wang et al, 2018). At the plot and field scales, quantitative knowledge of microtopography therefore is a key factor for understanding and simulating overland flow.…”

Section: Introductionmentioning

confidence: 99%

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Quantifying the dynamics of microtopography during a snowmelt event

Barneveld

Zee

Stolte

2019

Earth Surf Processes Landf

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Knowledge of soil microtopography and its changes in space and over time is important to the understanding of how tillage influences infiltration, runoff generation and erosion. In this study, the use of a terrestrial laser scanner (TLS) is assessed for its ability to quantify small changes in the soil surface at high spatial resolutions for a relatively large surface area (100 m2). Changes in soil surface morphology during snow cover and melt are driven by frost heave, slaking, pressure exertion by the snowpack and overland flow (erosion and deposition). An attempt is undertaken to link these processes to observed changes at the soil surface. A new algorithm for soil surface roughness is introduced to make optimal use of the raw point cloud. This algorithm is less scale dependent than several commonly used roughness calculations. The results of this study show that TLSs can be used for multitemporal scanning of large surfaces and that small changes in surface elevation and roughness can be detected. Statistical analysis of the observed changes against terrain indices did not yield significant evidence for process differentiation. © 2019 The Authors. Earth Surface Processes and Landforms Published by John Wiley & Sons Ltd. © 2019 The Authors. Earth Surface Processes and Landforms Published by John Wiley & Sons Ltd.

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Section: Discussionsupporting

confidence: 93%

Section: Discussionsupporting

confidence: 90%

“…; Wang et al. ). The decrease in RR in this study is an order of magnitude smaller than studies characterized by intense runoff, such as (Eltner et al.…”

Section: Discussionsupporting

confidence: 68%

“…; Wang et al. ). At the plot and field scales, quantitative knowledge of microtopography therefore is a key factor for understanding and simulating overland flow.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Quantifying the dynamics of microtopography during a snowmelt event

Barneveld

Zee

Stolte

2019

Earth Surf Processes Landf

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Testing CASE: A new event‐based Morgan‐Morgan‐Finney‐type erosion model for different rainfall experimental scenarios

Brunner,

Weninger,

Schmaltz

et al. 2023

Hydrological Processes

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Every application of soil erosion models brings the need of proper parameterisation, that is, finding physically or conceptually plausible parameter values that allow a model to reproduce measured values. No universal approach for model parameterisation, calibration and validation exists, as it depends on the model, spatial and temporal resolution and the nature of the datasets used. We explored some existing options for parameterisation, calibration and validation for erosion modelling exemplary with a specific dataset and modelling approach. A new Morgan‐Morgan‐Finney (MMF)‐type model was developed, representing a balanced position between physically‐based and empirical modelling approaches. The resulting model termed ‘calculator for soil erosion’ (CASE), works in a spatially distributed way on the timescale of individual rainfall events. A dataset of 142 high‐intensity rainfall experiments in Central Europe (AT, HU, IT, CZ), covering various slopes, soil types and experimental designs was used for calibration and validation with a modified Monte‐Carlo approach. Subsequently, model parameter values were compared to parameter values obtained by alternative methods (measurements, pedotransfer functions, literature data). The model reproduced runoff and soil loss of the dataset in the validation setting with R2adj of 0.89 and 0.76, respectively. Satisfactory agreement for the water phase was found, with calibrated saturated hydraulic conductivity (ksat) values falling within the interquartile range of ksat predicted with 14 different pedotransfer functions, or being within one order of magnitude. The chosen approach also well reflected specific experimental setups contained in the dataset dealing with the effects of consecutive rainfall and different soil water conditions. For the sediment phase of the tested model agreement between calibrated cohesion, literature values and field measurements were only partially in line. The methods we explored may specifically be interesting for use with other MMF‐type models, or with similar datasets.

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Impact of tillage-induced microtopography on hydrological-sediment connectivity and its hydrodynamic understanding

Luo

Zheng

et al. 2023

CATENA

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Assessing hydrological connectivity development by using a photogrammetric technique with relative surface connection function (RSCf) in a plot-scale experiment

Cited by 5 publications

References 56 publications

Quantifying the dynamics of microtopography during a snowmelt event

Quantifying the dynamics of microtopography during a snowmelt event

Testing CASE: A new event‐based Morgan‐Morgan‐Finney‐type erosion model for different rainfall experimental scenarios

Impact of tillage-induced microtopography on hydrological-sediment connectivity and its hydrodynamic understanding

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