A simple pre-factor for contaminant biodegradation potential and its application to pesticides risk assessment. (English) Zbl 1457.92071

Tang, Fiona H. M.; la Cecilia, Daniele; Vervoort, R. Willem; Coleman, Nicholas V.; Conoley, Chris; Maggi, Federico

Math. Comput. Simul. 175, 108-120 (2020).

Summary: In this study, we extend our earlier work presented in the 22nd International Congress on Modelling and Simulation (MODSIM 2017) and propose a simple parametric pre-factor (the biodegradation potential \(\psi_B)\), which can be used to estimate the biodegraded fraction of a contaminant in soil. \( \psi_B\) can be determined based on either first-order or Michaelis-Menten-Monod (MMM) kinetics. We show the application in the environmental risk assessments of the herbicides atrazine (ATZ) and glyphosate (GLP). We compare the ATZ and GLP biodegraded fractions estimated with \(\psi_B\) against those predicted with bioreactive models accounting for more comprehensive ATZ and GLP biodegradation reaction networks. Our analyses show that \(\psi_B\) matched relativity well the biodegraded fraction predicted by the mechanistic model, with \(\psi_B\) calculated using the MMM framework providing a more accurate result. We conclude that \(\psi_B\) can be used to scale the predicted environmental concentration of a contaminant to account for its biodegradation potential in simplistic transport models.

MSC:

92C45	Kinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.)
92D40	Ecology

Keywords:

atrazine; glyphosate; agrochemicals; contamination; ecological risk index; specific biomass affinity

Software:

BRTSim

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