Extension of the River Water Quality Model No. 1 with the fate of pesticides

Author:

De Schepper Veerle C. J.1,Holvoet Katrijn M. A.12,Benedetti Lorenzo1,Seuntjens Piet2,Vanrolleghem Peter A.13

Affiliation:

1. BIOMATH, Department of Applied Mathematics, Biometrics and Process Control, Ghent University, Coupure Links 653, B-9000 Gent, Belgium *Current address: Laboratory of Plant Ecology, Ghent University, Coupure Links 653, B-9000 Gent, Belgium

2. VITO, Flemish Institute for Technological Research, Land and Water Management, Boeretang 200, B-2400 Mol, Belgium †Department of Soil Management, Ghent University, Coupure Links 653, B-9000 Ghent, Belgium and Department of Bio-engineering Sciences, University of Antwerp, Groenenborgerlaan 171, B-2020 Antwerp, Belgium

3. modelEAU, Département de génie civil et génie des eaux, Université Laval, 1065 Avenue de la Médecine, Québec, QC, G1V 0A6, Canada

Abstract

The existing River Water Quality Model No. 1 (RWQM1) was extended with processes determining the fate of non-volatile pesticides in the water phase and sediments. The exchange of pesticides between the water column and the sediment is described by three transport processes: diffusion, sedimentation and resuspension. Burial of sediments is also included. The modified model was used to simulate the concentrations of diuron and chloridazon in the river Nil. A good agreement was found between the simulated pesticide concentrations and measured values resulting from a four-month intensive monitoring campaign. The simulation results indicate that pesticide concentrations in the bulk water are not sensitive to the selected biochemical model parameters. It seems that these concentrations are mainly determined by the imposed upstream concentrations, run-off and direct losses. The high concentrations in the bulk water were not observed in the sediment pore water due to a limited exchange between the water column and the sediment. According to a sensitivity analysis, the observed pesticide concentrations are highly sensitive to the diffusion and sorption coefficients. Therefore, model users should determine these parameters with accuracy in order to reduce the degree of uncertainty in their results.

Publisher

IWA Publishing

Subject

Atmospheric Science,Geotechnical Engineering and Engineering Geology,Civil and Structural Engineering,Water Science and Technology

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