Simulating the spatio-temporal dynamics of soil erosion, deposition, and yield using a coupled sediment dynamics and 3D distributed hydrologic model

Zi, Tan; Kumar, Mukesh; Kiely, Gérard; Lewis, Ciaran; Albertson, J. D.

doi:10.1016/j.envsoft.2016.06.004

Cited by 31 publications

(18 citation statements)

References 61 publications

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“…Spatio-temporal rainfall variability has been shown to play an important role in the hydro-morphological response of small-to medium-sized catchments (i.e. of the order of 10 1 -10 3 km 2 ), affecting streamflow and sediment transport volumes, peaks, and time to peaks (Arnaud et al, 2011;Bahat et al, 2009;Coulthard and Skinner, 2016;Kampf et al, 2016;Morin et al, 2006;Paschalis et al, 2014;Singh, 1997;Yakir and Morin, 2011;Zhu et al, 2018;Zoccatelli et al, 2011). Heavy rainfall events at these spatial scales have the potential to cover a given catchment entirely, thus increas-N. Peleg et al: Temperature effects on the spatial structure ing the sensitivity of the hydro-morphological response to the extreme event itself (Do et al, 2017;Sharma et al, 2018;Wasko and Sharma, 2017).…”

Section: Introductionmentioning

confidence: 99%

Temperature effects on the spatial structure of heavy rainfall modify catchment hydro-morphological response

et al. 2020

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Abstract. Heavy rainfall is expected to intensify with increasing temperatures, which will likely affect rainfall spatial characteristics. The spatial variability of rainfall can affect streamflow and sediment transport volumes and peaks. Yet, the effect of climate change on the small-scale spatial structure of heavy rainfall and subsequent impacts on hydrology and geomorphology remain largely unexplored. In this study, the sensitivity of the hydro-morphological response to heavy rainfall at the small-scale resolution of minutes and hundreds of metres was investigated. A numerical experiment was conducted in which synthetic rainfall fields representing heavy rainfall events of two types, stratiform and convective, were simulated using a space-time rainfall generator model. The rainfall fields were modified to follow different spatial rainfall scenarios associated with increasing temperatures and used as inputs into a landscape evolution model. The experiment was conducted over a complex topography, a medium-sized (477 km2) Alpine catchment in central Switzerland. It was found that the responses of the streamflow and sediment yields are highly sensitive to changes in total rainfall volume and to a lesser extent to changes in local peak rainfall intensities. The results highlight that the morphological components are more sensitive to changes in rainfall spatial structure in comparison to the hydrological components. The hydro-morphological features were found to respond more to convective rainfall than stratiform rainfall because of localized runoff and erosion production. It is further shown that assuming heavy rainfall to intensify with increasing temperatures without introducing changes in the rainfall spatial structure might lead to overestimation of future climate impacts on basin hydro-morphology.

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Section: Introductionmentioning

confidence: 99%

Temperature effects on the spatial structure of heavy rainfall modify catchment hydro-morphological response

et al. 2020

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“…Physically-based, fully distributed hydrologic models simulate multiple states and fluxes in space and time 1 – 8 . These models account for the heterogeneities in hydrogeologic parameters and meteorological forcings, and have been demonstrated to enhance understanding and prediction of hydrologic processes 9 – 16 . However, simulations based on these models are often computationally expensive.…”

Section: Introductionmentioning

confidence: 99%

Using nested discretization for a detailed yet computationally efficient simulation of local hydrology in a distributed hydrologic model

Wang

Liu

Kumar

2018

Sci Rep

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Fully distributed hydrologic models are often used to simulate hydrologic states at fine spatio-temporal resolutions. However, simulations based on these models may become computationally expensive, constraining their applications to smaller domains. This study demonstrates that a nested-discretization based modeling strategy can be used to improve the efficiency of distributed hydrologic simulations, especially for applications where fine resolution estimates of hydrologic states are of the focus only within a part of a watershed. To this end, we consider two applications where the goal is to capture the groundwater dynamics within a defined target area. Our results show that at the target locations, a nested simulation is able to competently replicate the estimates of groundwater table as obtained from the fine simulation, while yielding significant computational savings. The results highlight the potential of using nested discretization for a detailed yet computationally efficient estimation of hydrologic states in part of the model domain.

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“…However, this is much less the case for geomorphological impacts (e.g. Francipane et al, 2015;Pandey et al, 2016;Ramsankaran et al, 2013;Zi et al, 2016), where the added value of using high-resolution gridded rainfall data for climate change impact studies is still not widely evaluated (Li and Fang, 2016) and most LEMs do not receive distributed rainfall as input (Coulthard and Skinner, 2016;Tucker and Hancock, 2010). The risk of over-predicting the geomorphological response is significantly increased when using uniform rainfall instead of distributed rainfall.…”

Section: Implications For Climate Change Impact Studiesmentioning

confidence: 99%

Temperature effects on heavy rainfall modify catchment hydro-morphological response

Peleg

Skinner

Fatichi

et al. 2019

Preprint

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Abstract. Heavy rainfall is expected to intensify with increasing temperatures, which will likely affect the rainfall spatial characteristics. The spatial variability of rainfall can affect streamflow and sediment transport volumes and peaks. Yet, the effect of climate change on the small-scale spatial structure of heavy rainfall and how those impacts hydrology and geomorphology remains largely unexplored. In this study, the sensitivity of the hydro-morphological response to heavy rainfall at the small-scale of minutes and hundreds of meters was investigated. A numerical experiment was conducted, in which synthetic rainfall fields representing heavy rainfall events of two types, stratiform and convective, were simulated using a space-time rainfall generator model. The rainfall fields were modified to follow different spatial rainfall scenarios, associated with increasing temperatures, and used as inputs into a landscape evolution model. The experiment was conducted over a complex topography medium-size (477 km2) Alpine catchment in central Switzerland. The results highlight that the response of the streamflow and sediment yields are highly sensitive to changes in the rainfall structure at the small-scale, in particular to changes in the areal rainfall intensity and in the area of heavy rainfall, which alters the total rainfall volume, and to a lesser extent to changes in the peak rainfall intensity. The hydro-morphological response is enhanced (reduced) when the local peak rainfall intensified and the area of heavy rainfall increased (decreased). The hydro-morphological response was found to be more sensitive to convective rainfall than stratiform rainfall because of localized runoff and erosion production. It is further shown that assuming heavy rainfall to intensify with increasing temperatures without introducing changes in the rainfall spatial structure might lead to over-estimation of future climate impacts on basin hydro-morphology.

show abstract

Simulating the spatio-temporal dynamics of soil erosion, deposition, and yield using a coupled sediment dynamics and 3D distributed hydrologic model

Cited by 31 publications

References 61 publications

Temperature effects on the spatial structure of heavy rainfall modify catchment hydro-morphological response

Temperature effects on the spatial structure of heavy rainfall modify catchment hydro-morphological response

Using nested discretization for a detailed yet computationally efficient simulation of local hydrology in a distributed hydrologic model

Temperature effects on heavy rainfall modify catchment hydro-morphological response

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