Projected climate change effects on subsurface drainage and the performance of controlled drainage in the Western Lake Erie Basin

Pease, Lindsay; Fausey, Norman R.; Martin, Jay F.; Brown, L. C.

doi:10.2489/jswc.72.3.240

Cited by 32 publications

(31 citation statements)

References 45 publications

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“…The C–Q relationships observed for tile drainage imply that legacy P losses may become more problematic under projected future climate conditions, assuming legacy soil P is not markedly reduced from current levels. Although projected climate changes may decrease annual subsurface discharges in the region due to greater evapotranspiration (Pease, Fausey, Martin, & Brown, 2017), the most intense precipitation events are expected to increase in frequency (Pryor et al., 2014). The more frequent occurrence of previously rare intense precipitation events could increase the importance of elevated Q events from tile drains (Dayyani, Prasher, Madani, & Madramootoo, 2012).…”

Section: Discussionmentioning

confidence: 99%

Legacy phosphorus concentration–discharge relationships in surface runoff and tile drainage from Ohio crop fields

Osterholz¹,

Hanrahan²,

King³

2020

J of Env Quality

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Legacy phosphorus (P) in agricultural soils can be transported to surface waters via runoff and tile drainage, where it contributes to the development of harmful and nuisance algal blooms and hypoxia. However, a limited understanding of legacy P loss dynamics impedes the identification of mitigation strategies. Edge-of-field data from 41 agricultural fields in northwestern Ohio, USA, were used to develop regressions between legacy P concentrations (C) and discharge (Q) for two P fractions: total P (TP) and dissolved reactive P (DRP). Tile drainage TP concentration (C TP ) and DRP concentration (C DRP ) both increased as Q increased, and C TP tended to increase at a greater rate than C DRP . Surface runoff showed greater variation in C-Q regressions, indicating that the response of TP and DRP to elevated Q was field specific. The relative variability of C and Q was explored using a ratio of CVs (CV C /CV Q ), which indicated that tile drainage TP and DRP losses were chemodynamic, whereas losses via surface runoff demonstrated both chemodynamic and chemostatic behavior. The chemodynamic behavior indicated that legacy P losses were strongly influenced by variation in P source availability and transport pathways. In addition, legacy P source size influenced C, as demonstrated by a positive relationship between soil-test P and the C TP and C DRP in both tile drainage and surface runoff. Progress towards legacy P mitigation will require further characterization of the drivers of variability in C TP and C DRP , including weather-, soil-, and management-related factors.Abbreviations: DRP, dissolved reactive phosphorus; EoF, edge-of-field; PP, particulate phosphorus; STP, soil-test phosphorus; TP, total phosphorus; WLEB, western Lake Erie basin. J. Environ. Qual. 2020;49:675-687.wileyonlinelibrary.com/journal/jeq2 675

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Section: Discussionmentioning

confidence: 99%

Legacy phosphorus concentration–discharge relationships in surface runoff and tile drainage from Ohio crop fields

Osterholz¹,

Hanrahan²,

King³

2020

J of Env Quality

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“…The study sites were a part of the USDA‐ARS Soil Drainage Research Unit edge‐of‐field monitoring network. Methodology for field data collection and analysis followed previously published methods (Pease, King, et al., 2017; Williams et al., 2016). Tile mains were equipped with a weir insert (Thel‐Mar), ISCO 4230 bubbler flow meters (Teledyne Isco), and an ISCO 2150 area velocity sensor, which measured discharge under submerged conditions.…”

Section: Methodsmentioning

confidence: 99%

“…Empirical mode decomposition (EMD) is a time‐series analysis method that has high perceived utility for tile‐drain water quality studies given its flexibility for detecting trends in complex datasets. In tile‐drained landscapes of the Western Lake Erie basin, nonstationary and nonlinear P delivery may stem from changes in runoff patterns and land management practices (Jarvie et al., 2017; Pease, Fausey, Martin, & Brown, 2017; Pease, King, et al., 2017; Williams et al., 2018). Among time‐series analysis approaches used in environmental studies, EMD does not have limitations of Fourier‐based and regression approaches, which assume linear and stationary time series (Ford, King, Williams, Williams, & Fausey, 2015; Wu, Huang, Long, & Peng, 2007).…”

Section: Introductionmentioning

confidence: 99%

Impacts of preferential flow and agroecosystem management on subsurface particulate phosphorus loadings in tile‐drained landscapes

2020

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Recent research on tile-drainage has placed emphasis on dissolved reactive phosphorus (DRP) delivery and transport pathways but less emphasis on particulate P (PP), resulting in its exclusion from agricultural water management models. In this study, we quantified the fluxes, mechanisms, and factors driving PP delivery into tiles through statistical analysis of a long-term hydrologic and water quality dataset. The dataset includes 5 yr of surface and tile discharge, total P (TP), DRP, total nitrogen (TN), and dissolved inorganic N concentrations from two edge-of-field study sites with contrasting soil and management practices. Hydrograph recession techniques were coupled with multiple linear regression for understanding hydrologic flow pathways, and empirical mode decomposition (EMD) time-series analysis was used to determine the significance of PP seasonality processes and the effect of management practices. The analysis of hydrologic flow pathways demonstrated that quickflow contributed 66 and 36% of subsurface discharge in the clay and loam sites, respectively. Phosphorus loading analysis showed that macropore flow plays a significant role in PP delivery to subsurface P loading and that PP significantly contributed to TP and DRP delivery; however, greater PP loadings were observed at the clay site despite greater subsurface discharge and soil test P levels at the loam site. Furthermore, PP delivery was significantly affected by environmental conditions and management practices. We highlight the efficacy of hydrograph recession analysis for identifying macropore and diffuse drainage, of P/N ratios to characterize sediment delivery mechanisms in tiles, and of EMD to detect management impacts on TP and DRP at the field scale.

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“…The WEPP-WQ model was used by [15] to estimate future N and P losses in two small watersheds finding increases in losses of both nutrients. In another study [16], used DRAINMOD to simulate future tile flow in western Lake Erie basin. They found an average decrease of about 9% in subsurface drainage and recommended controlled drainage to retain more water in the soil profile as a BMP for crop production.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Impacts of Climate Change on Tile Discharge and Nitrogen Yield Using the DRAINMOD Model

et al. 2020

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The detrimental impacts of agricultural subsurface tile flows and their associated pollutants on water quality is a major environmental issue in the Great Lakes region and many other places globally. A strong understanding of water quality indicators along with the contribution of tile-drained agriculture to water contamination is necessary to assess and reduce a significant source of non-point source pollution. In this study, DRAINMOD, a field-scale hydrology and water quality model, was applied to assess the impact of future climatic change on depth to water table, tile flow and associated nitrate loss from an 8.66 ha agricultural field near Londesborough, in Southwestern Ontario, Canada. The closest available climate data from a weather station approximately 10 km from the field site was used by the Ontario Ministry of Natural Resources and Forestry (MNRF) to generate future predictions of daily precipitation and maximum and minimum air temperatures required to create the weather files for DRAINMOD. Of the 28 models applied by MNRF, three models (CGCM3T47-Run5, GFDLCM2.0, and MIROC3.2hires) were selected based on the frequency of the models recommended for use in Ontario with SRA1B emission scenario. Results suggested that simulated tile flows and evapotranspiration (ET) in the 2071–2100 period are expected to increase by 7% and 14% compared to 1960–1990 period. Results also suggest that under future climates, significant increases in nitrate losses (about 50%) will occur along with the elevated tile flows. This work suggests that climate change will have a significant effect on field hydrology and water quality in tile-drained agricultural regions.

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Projected climate change effects on subsurface drainage and the performance of controlled drainage in the Western Lake Erie Basin

Cited by 32 publications

References 45 publications

Legacy phosphorus concentration–discharge relationships in surface runoff and tile drainage from Ohio crop fields

Legacy phosphorus concentration–discharge relationships in surface runoff and tile drainage from Ohio crop fields

Impacts of preferential flow and agroecosystem management on subsurface particulate phosphorus loadings in tile‐drained landscapes

Assessment of Impacts of Climate Change on Tile Discharge and Nitrogen Yield Using the DRAINMOD Model

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