Numerical investigation of the spatial scale and time dependency of tile drainage contribution to stream flow

Thomas, Nicholas W.; Arenas, Antonio; Schilling, Keith E.; Weber, Larry

doi:10.1016/j.jhydrol.2016.04.055

Cited by 25 publications

(19 citation statements)

References 76 publications

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“…Applying this discharge to the north and south buffer catchments (approximately 6 and 10 ha, respectively) suggests that approximately 20,029 to 36,308 m 3 of water discharged from the two areas in 2019 and 2020. Of this amount, research from Iowa suggests that tile flow comprises approximately 50% of the total flow in Iowa rivers (Schilling et al, 2019 ; Thomas et al, 2016 ); therefore, the total discharge was reduced by 50% to estimate total tile flow from the two buffer catchments. Jaynes & Isenhart ( 2019 ) further observed, based on 19 site years of data, that tiles draining into saturated buffers typically diverted 21 to 94% of total tile flow into buffer tile lines and averaged 50% of total tile flow diverted.…”

Section: Discussionmentioning

confidence: 99%

Quantifying the effectiveness of a saturated buffer to reduce tile NO3-N concentrations in eastern Iowa

Streeter

Schilling

2021

Environ Monit Assess

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Section: Discussionmentioning

confidence: 99%

Quantifying the effectiveness of a saturated buffer to reduce tile NO3-N concentrations in eastern Iowa

Streeter

Schilling

2021

Environ Monit Assess

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“…The model capabilities are discussed in the comprehensive review by Brunner and Simmons [2012] and specific developments related to tile drainage modeling have been recently documented [De Schepper et al, 2015;Thomas et al, 2016].…”

Section: 1002/2016wr020209mentioning

confidence: 99%

Simulating seasonal variations of tile drainage discharge in an agricultural catchment

Schepper

Therrien

Refsgaard

et al. 2017

Water Resources Research

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Seasonal variations of tile drainage discharge were simulated in the 6 km2 Fensholt catchment, Denmark, with the coupled surface and subsurface HydroGeoSphere model. The catchment subsurface is represented in the model by 3 m of topsoil and clay, underlain by a heterogeneous distribution of sand and clay units. Two subsurface drainage networks were represented as nodal sinks. The spatial distribution of the heterogeneous units was generated stochastically and their hydraulic properties were calibrated to reproduce drainage discharge for one network and verified with drainage discharge for the other network. Simulated discharge was compared to that of another model for which the heterogeneous sand and clay units were replaced by a homogeneous unit, whose hydraulic conductivity was the mean value of the heterogeneous model. With the homogeneous model, drainage dynamics were correctly simulated but drainage discharge was less accurate compared to the heterogeneous model. Simulated discharge was also compared to that of a larger‐scale model created with the MIKE SHE code, built with the same heterogeneous model. HydroGeoSphere and MIKE SHE generated drainage discharge that was significantly different, with better simulated groundwater dynamics data produced by HydroGeoSphere. Nodal sinks in HydroGeoSphere reproduced drain flow peaks more accurately. Calibration against drainage discharge data suggests that drain flow is controlled primarily by geological heterogeneities included in the model and, to a lesser extent, by the nature of the soil units located between the drains and ground surface.

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“…But tile water can also flow out of tile drains into the adjacent groundwater. If tile drains remain within the saturated zone between precipitation or snowmelt events, groundwater flow as tile drainage can be a dominant source of the baseflow in streams (Thomas et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Subsurface hydrology of tile‐drained headwater catchments: Compatibility of concepts and hydrochemistry

Stempvoort

MacKay

Koehler

et al. 2021

Hydrological Processes

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Concepts and terms used in previous multidisciplinary studies of tile-drained aquitard-dominated catchments (TDADC) are inconsistent and confusing. We provide a well-defined, comprehensive conceptual model of the subsurface hydrology of TDADC by selecting seven mutually compatible and consistent concepts. These concepts are: (1) groundwater as the main source of baseflow in headwater streams,(2) dominance of 'pre-event' water in stormflow, (3) importance of both macropores and matrix, (4) changes in flowpaths with rate of stream discharge, (5) dominance of shallow, lateral subsurface flow, (6) interactive nature of subsurface water, (7) transpiration of groundwater. This conceptual model was successfully 'field-tested' by examining data collected in a TDADC in a rural area of southern Ontario, Canada.The data consist mainly of chemical and isotopes tracers in water samples (headwater streams, groundwater, precipitation, tile water, soil-surface water), supplemented by water levels and meteorological data.

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Numerical investigation of the spatial scale and time dependency of tile drainage contribution to stream flow

Cited by 25 publications

References 76 publications

Quantifying the effectiveness of a saturated buffer to reduce tile NO3-N concentrations in eastern Iowa

Quantifying the effectiveness of a saturated buffer to reduce tile NO3-N concentrations in eastern Iowa

Simulating seasonal variations of tile drainage discharge in an agricultural catchment

Subsurface hydrology of tile‐drained headwater catchments: Compatibility of concepts and hydrochemistry

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