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Modelling water discharge and nitrogen loads from drained agricultural land at field and watershed scale

Salazar, Osvaldo (2009). Modelling water discharge and nitrogen loads from drained agricultural land at field and watershed scale. Diss. (sammanfattning/summary) Uppsala : Sveriges lantbruksuniv., Acta Universitatis Agriculturae Sueciae, 1652-6880 ; 2009:32
ISBN 978-91-86195-79-3
[Doctoral thesis]

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This thesis examines water discharge and NO₃-N loads from drained agricultural land in southern Sweden by modelling at field and watershed scale. In the first stage of the work, the ability of DRAINMOD to simulate outflow in subsurface drains and that of DRAINMOD-N II to simulate NO₃-N loads in these drains was evaluated in field experiments. In addition, the ROSETTA pedotransfer model was used to estimate soil hydraulic properties required by DRAINMOD. In the second stage, DRAINMOD was integrated with Arc Hydro in a GIS framework (Arc Hydro-DRAINMOD) to simulate the hydrological response of an artificially drained watershed. DRAINMOD-N II and a temperature-dependent NO₃-N removal equation were also included in Arc Hydro-DRAINMOD to predict NO₃-N loading. Arc Hydro-DRAINMOD used a distributed modelling approach to aggregate the results of field-scale simulations, where the Arc Hydro data model described the drainage patterns in the watershed and connected the model simulations from fields through the stream network to the watershed outlet. GLUE methodology was applied to estimate uncertainties in the framework inputs. At field scale, monthly values of drain outflows simulated by DRAINMOD and NO₃-N loads simulated by DRAINMOD-N II showed good agreement with observed values. Good agreement was also found between observed and DRAINMOD-simulated drainage rates when ROSETTA-estimated Ks values were used as inputs in DRAINMOD. At watershed scale, temporal trend and magnitude of monthly measured discharge and NO₃-N loads were well predicted by Arc Hydro-DRAINMOD, which included uncertainty estimation using GLUE methodology. Sensitivity analysis showed that NO₃-N loads from the stream baseflow and N removal in the stream network processes had the most sensitive parameters. These results demonstrate the potential of DRAINMOD/DRAINMOD-N II and Arc Hydro-DRAINMOD for simulating hydrological and N processes in drained agricultural land at field and watershed scale. These models can contribute to improve water use efficiency in watersheds and to evaluate best management practices for preventing surface water and groundwater pollution.

Authors/Creators:Salazar, Osvaldo
Title:Modelling water discharge and nitrogen loads from drained agricultural land at field and watershed scale
Series Name/Journal:Acta Universitatis Agriculturae Sueciae
Year of publishing :2009
Number of Pages:74
ALLI. Salazar, O., Wesström, I. & Joel, A. (2008). Evaluation of DRAINMOD using saturated hydraulic conductivity estimated by a pedotransfer function model. Agricultural Water Management 95(10), 1135-1143. II. Salazar, O., Wesström, I., Youssef, M.A., Skaggs, R.W. & Joel, A. (2009). Evaluation of the DRAINMOD–N II model for predicting nitrogen losses in a loamy sand under cultivation in south-east Sweden. Agricultural Water Management 96(2), 267-281. III. Salazar, O., Joel, A., Wesström, I., Linnér, H. & Skaggs, R.W. Modelling discharge from a coastal watershed in south-east Sweden using an integrated framework (submitted to Hydrological Processes). IV. Salazar, O., Wesström, I., Joel, A. & Youssef, M.A. Application of an integrated framework for predicting nitrate loads from a coastal watershed in south-east Sweden (submitted to Environmental Modelling & Software).
Place of Publication:Uppsala
ISBN for printed version:978-91-86195-79-3
Publication Type:Doctoral thesis
Full Text Status:Public
Agrovoc terms:farmland, drainage, drainage water, soil water movement, soil hydraulic properties, nitrogen, simulation models, sweden
Keywords:Arc Hydro, controlled drainage, DRAINMOD, GIS, GLUE, ROSETTA
Permanent URL:
ID Code:1984
Department:(NL, NJ) > Dept. of Soil and Environment
(S) > Dept. of Soil and Environment
Deposited By: Osvaldo Salazar
Deposited On:24 Apr 2009 00:00
Metadata Last Modified:02 Dec 2014 10:15

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