Catchment Morphing (CM): A Novel Approach for Runoff Modeling in Ungauged Catchments

Zhang, Jun; Han, Dawei

doi:10.1002/2017wr021403

Cited by 9 publications

(7 citation statements)

References 49 publications

(55 reference statements)

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“…The morphological complexity of the produced virtual catchments used in LEM analyses has been addressed in previous studies using different parameters such as basin relief, soil roughness (Baartman et al, 2013), mean slope of the catchment, slope profile, drainage length, and catchment area (Zhang & Han, 2017).…”

Section: Review Of Methods Used To Create Virtual Catchmentsmentioning

confidence: 99%

“…For example, catchment characteristics such as average slope, drainage length, and catchment shape can be adjusted from a real‐world DEM by changing the elevations and the axial extents of the catchment through the use of GIS packages (e.g. Coulthard & Van de Wiel, 2017; Zhang et al, 2017; Zhang & Han, 2017). However, this approach generates results that are only modified copies of the input DEM.…”

Section: Review Of Methods Used To Create Virtual Catchmentsmentioning

confidence: 99%

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Generation of realistic synthetic catchments to explore fine continental surface processes

Bunel

Copard

Guérin

et al. 2021

Earth Surf Processes Landf

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Understanding, analysing, and predicting the erosion mechanisms and sedimentary flows produced by catchments plays a key role in environmental conservation and restoration management and policies. Numerical case-testing studies are generally undertaken to analyse the sensitivity of flood and soil erosion processes to the physical characteristics of catchments. Most analyses are conducted on simple virtual catchments with physical characteristics that, unlike real catchments, are perfectly controlled. Virtual catchments generally correspond to V-shaped valley catchments. However, although these catchments are suitable for methodical analysis of the results, they do not provide a realistic representation of the spatial structures of the landscape and field conditions. They can, therefore, lead to potential modelling errors and can make it difficult to extend or generalize their results. Our proposed method bridges the gap between real and traditional virtual catchments by creating realistic virtual catchments with perfectly controllable physical characteristics. Our approach represents a real alternative to traditional test case procedures and provides a new framework for geomorphological and hydrological communities. It combines a field procedural generation approach, geographic information system processing procedures, and the CAESAR-Lisflood landscape evolution model. We illustrate how each of these components acts in the process of generating virtual catchments. Five physical parameters were adjusted and tested for each virtual catchment: drainage density, hypsometric integral, mean slope of the main channel, granulometry, and land use. One of our virtual catchments is compared with a real catchment and a virtual catchment produced by a standard method. This comparison indicates that our approach can produce more realistic virtual catchments than those produced by more traditional methods, while a high degree of controllability is maintained. This new method of generating virtual catchments therefore offers significant research potential to identify the impacts of the physical characteristics of catchments on hydro-sedimentary dynamics and responses.

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Section: Review Of Methods Used To Create Virtual Catchmentsmentioning

confidence: 99%

Section: Review Of Methods Used To Create Virtual Catchmentsmentioning

confidence: 99%

Generation of realistic synthetic catchments to explore fine continental surface processes

Bunel

Copard

Guérin

et al. 2021

Earth Surf Processes Landf

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“…It is capable of simulating basic processes and pathways for flow and transport in river catchments (Ewen, 1995). SHETRAN has been applied in a wide range of catchments and proved to be a reliable hydrological model (Birkinshaw and Ewen, 2000;Birkinshaw, 2008;Norouzi Banis et al, 2004;Zhang et al, 2013;Zhang and Han, 2017). SHETRAN has three main components: water flow, sediment transport and contaminant transport.…”

Section: Soil Moisture Simulation Using the Hydrological Modelmentioning

confidence: 99%

Probabilistic thresholds for landslides warning by integrating soil moisture conditions with rainfall thresholds

Zhao¹,

Dai

Han

et al. 2019

Journal of Hydrology

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Various methods have been proposed to define the rainfall thresholds for the landslide prediction. Once the appropriate threshold is determined, it remains the same regardless of the antecedent soil moisture conditions. However, given the important role of the antecedent soil moisture in the initiation of landslides, it is considered if the rainfall threshold level varies according to the antecedent soil moisture conditions, the prediction performance will be improved. Therefore, in this study we propose a probabilistic threshold to integrate antecedent soil moisture conditions with rainfall thresholds. In order to take into account the conditions with landslides and without landslides, the Bayesian analysis is applied to estimate the landslide occurrence probability given the various combinations of two factors: the antecedent soil moisture and the severity of the recent rainfall event. These combinations are then divided into conditions that are likely to trigger landslides and those unlikely to trigger landslides by comparing their probabilities with a critical value. In this way, the probabilistic threshold is determined. Here the soil moisture is estimated using the distributed hydrological model, and the severity of the rainfall event is characterized by the cumulated event rainfall-rainfall duration (ED) thresholds with different exceedance probabilities. The proposed approach was applied to a sub-region of the Emilia-Romagna region in northern Italy. The results show that the probabilistic threshold has a better prediction performance than the ED rainfall threshold, especially in terms of reducing false alarms. This study provides an effective approach to improve the prediction capability of the ED rainfall threshold, benefiting its application in the landslide prediction.

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“…It is originated from the Système Hydrologique Européen (SHE) (Abbott et al 1986). The model has been applied in a wide range of catchments and proved to be a reliable hydrological model (Birkinshaw 2008, Birkinshaw and Ewen 2000, Norouzi Banis et al 2004, Zhang and Han 2017, Zhang et al 2013. As SHETRAN is based on physical processes and spatially distributed, it is considered effective to simulate soil moisture evolution in response to rainfall conditions at a grid scale.…”

Section: Definition Of Rainfall Events and Rainfall Thresholdsmentioning

confidence: 99%

Application of hydrological model simulations in landslide predictions

et al. 2019

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The importance of soil moisture conditions in the initiation of landslides has been widely recognized. This study takes advantage of the distributed hydrological model to derive the soil wetness index. The derived soil wetness index is then used to determine soil wetness thresholds for landslide occurrences. In order to predict landslides based on alert zones, a zone threshold is introduced together with the soil wetness threshold to constitute the integrated threshold. We evaluate the prediction performance of the integrated thresholds with the use of skill scores and the receiver operating characteristic (ROC) curves. This study is carried out in a sub-region of the Emilia-Romagna region, Northern Italy. Results show that the derived soil wetness index could account for the hydrological process that is controlled by meteorological conditions and topographic properties. The proposed integrated threshold shows a better predictive capability than the rainfall threshold, demonstrating the effectiveness of applying the soil wetness index in landslide predictions. The optimal threshold is also determined by compromising the correct predictions and incorrect predictions, it is found that the optimal integrated threshold is more advantageous in reducing false alarms compared with the optimal rainfall threshold. This study highlights the potential of applying hydrological simulations in landslide prediction studies and provides a new way to make use of high-resolution data in zone-based landslide predictions.

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Catchment Morphing (CM): A Novel Approach for Runoff Modeling in Ungauged Catchments

Cited by 9 publications

References 49 publications

Generation of realistic synthetic catchments to explore fine continental surface processes

Generation of realistic synthetic catchments to explore fine continental surface processes

Probabilistic thresholds for landslides warning by integrating soil moisture conditions with rainfall thresholds

Application of hydrological model simulations in landslide predictions

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