Sediment Export Modeling in Cold-Climate Prairie Watersheds

Mekonnen, Balew A.; Mazurek, Kerry A.; Putz, Gordon

doi:10.1061/(asce)he.1943-5584.0001336

Cited by 13 publications

(9 citation statements)

References 61 publications

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“…However, due to a series of complexities related to these depressions and their characteristics (e.g., hydrologic connectivity of depressions), hydrologic modeling for the PPR is a challenging task [2]. Different studies have been conducted to address the depression storage effects and simulate the characteristics of depression-dominated areas [3][4][5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

“…In particular, ArcSWAT [15], an extension of ArcGIS, facilitates SWAT modeling by providing a user-friendly interface for DEM-based watershed delineation, processing of land use and soil type GIS data, HRU definition, meteorological data analysis, and preparation of SWAT input datasets. As a preprocessing procedure of delineation in ArcSWAT, all depressions are filled or removed to generate well-connected drainage networks [2]. Therefore, in SWAT applications, different assumptions are often introduced for depressions.…”

Section: Introductionmentioning

confidence: 99%

“…The results from the SWAT-PDLD model demonstrated improved estimations of stream flow for the selected watersheds. In addition, Mekonnen et al [2] developed a modified version of SWAT for sediment export simulation from cold-climate, depression dominated watersheds. They incorporated the seasonal variability of soil erodibility due to the cold-climate conditions into the SWAT-PDLD, tested their model for two depression-dominated watersheds in Canada, and concluded that the simulated sediment export from the case study watersheds was significantly improved by their modified model.…”

Section: Introductionmentioning

confidence: 99%

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SWAT Modeling for Depression-Dominated Areas: How Do Depressions Manipulate Hydrologic Modeling?

Nasab

Singh

Chu

2017

Water

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Abstract:Modeling hydrologic processes for depression-dominated areas such as the North American Prairie Pothole Region is complex and reliant on a clear understanding of dynamic filling-spilling-merging-splitting processes of numerous depressions over the surface. Puddles are spatially distributed over a watershed and their sizes, storages, and interactions vary over time. However, most hydrologic models fail to account for these dynamic processes. Like other traditional methods, depressions are filled as a required preprocessing step in the Soil and Water Assessment Tool (SWAT). The objective of this study was to facilitate hydrologic modeling for depression-dominated areas by coupling SWAT with a Puddle Delineation (PD) algorithm. In the coupled PD-SWAT model, the PD algorithm was utilized to quantify topographic details, including the characteristics, distribution, and hierarchical relationships of depressions, which were incorporated into SWAT at the hydrologic response unit (HRU) scale. The new PD-SWAT model was tested for a large watershed in North Dakota under real precipitation events. In addition, hydrologic modeling of a small watershed was conducted under two extreme high and low synthetic precipitation conditions. In particular, the PD-SWAT was compared against the regular SWAT based on depressionless DEMs. The impact of depressions on the hydrologic modeling of the large and small watersheds was evaluated. The simulation results for the large watershed indicated that SWAT systematically overestimated the outlet discharge, which can be attributed to the failure to account for the hydrologic effects of depressions. It was found from the PD-SWAT modeling results that at the HRU scale surface runoff initiation was significantly delayed due to the threshold control of depressions. Under the high precipitation scenario, depressions increased the surface runoff peak. However, the low precipitation scenario could not fully fill depressions to reach the overflow thresholds in the selected sub-basins. These results suggest the importance of depressions as gatekeepers in watershed modeling.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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SWAT Modeling for Depression-Dominated Areas: How Do Depressions Manipulate Hydrologic Modeling?

Nasab

Singh

Chu

2017

Water

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“…This approach applied a probability density function to characterize the spatial heterogeneity of landscape depression storages in a watershed and incorporated the seasonal variation of soil erodibility to account for the change of erosion rate during soil freeze and thaw. An application of the approach showed an improved simulation of sediment export in a Canadian prairie watershed [7].…”

Section: Introductionmentioning

confidence: 99%

Development of an Integrated Modelling System for Evaluating Water Quantity and Quality Effects of Individual Wetlands in an Agricultural Watershed

Liu

Yang

Shao

et al. 2018

Water

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A GIS-based fully-distributed model, IMWEBs-Wetland (Integrated Modelling for Watershed Evaluation of BMPs-Wetland), is developed to simulate hydrologic processes of site-specific wetlands in an agricultural watershed. This model, powered by the open-source GIS Whitebox Geospatial Analysis Tools (GAT) and advanced database technologies, allows users to simulate and assess water quantity and quality effects of individual wetlands at site and watershed scales. A case study of the modelling system is conducted in a subbasin of the Broughton's Creek Watershed in southern Manitoba of Canada. Modelling results show that the model is capable of simulating wetland processes in a complex watershed with various land management practices. The IMWEBs-Wetland model is unique in simulating the water quantity and quality effects of individual wetlands, which can be used to examine location-specific targeting of wetland retention and restoration at a watershed scale.

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“…For instance, there has been an increased effort to understand the effects of environmental changes on sediment yield [BORAH et al 2001;DE VENTE et al 2008;GUZMAN et al 2017;KUMAR et al 2014;PAK et al 2015;ZEINIVAND, SMEDT 2009;ZHANG et al 2013]. Some studies linked sediment yield with climate change [ZHANG et al 2016], water quality [BAI, WU--SENG 2005;RUSSO et al 2011], wildfire [CANFIELD et al 2005], aquatic life [PAPANICOLAOU, ABACI 2005], soil condition [FOX, MARTIN 2014;ZHANG et al 2016], and type of climate [MEKONNEN et al 2016]. However, recent Studies have shown that a planned land-use can be an effective management tool for soil conservation and reduction of sediment at a watershed scale [XIAO et al 2016;ZHAO et al 2017].…”

Section: Introductionmentioning

confidence: 99%

Impact of urbanization on the sediment yield in tropical watershed using temporal land-use changes and a GIS-based model

Bello

Hashim

Haniffah

2017

Journal of Water and Land Development

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Abundant rainfall areas promote sediment yield at both sub-watershed and watershed scale due to soil erosion and increase siltation of river channel, but it can be curtailed through planned urbanization. The urbanization of Skudai watershed is analysed from historical and future perspective. A GIS-based model (Hydrological Simulation Programme-FORTRAN-HSPF) is used to modelled sediment flow using basin-wide simulation, and the output result is utilized in evaluating sediment yield reduction due to increased urbanization by swapping multiple temporal land-use of decadent time-steps. The analysis indicates that sediment yield reduces with increase urban built-up and decrease forest and agricultural land. An estimated 12 400 tons of sediment will be reduced for every 27% increase in built-up areas under high rainfall condition and 1 490 tons at low rainfall. The sensitivity analysis of land-use classes shows that built-up, forest and barren are more sensitive to sediment yield reduction compared to wetland and agricultural land at both high and low rainfall. The result of the study suggests that increased urbanization reduced sediment yield in proportion to the rainfall condition and can be used as an alternative approach for soil conservation at watershed scale independent of climate condition.

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Sediment Export Modeling in Cold-Climate Prairie Watersheds

Cited by 13 publications

References 61 publications

SWAT Modeling for Depression-Dominated Areas: How Do Depressions Manipulate Hydrologic Modeling?

SWAT Modeling for Depression-Dominated Areas: How Do Depressions Manipulate Hydrologic Modeling?

Development of an Integrated Modelling System for Evaluating Water Quantity and Quality Effects of Individual Wetlands in an Agricultural Watershed

Impact of urbanization on the sediment yield in tropical watershed using temporal land-use changes and a GIS-based model

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