Warren Christopher, Mackay Don, Whelan Mick, Fox Kay
Canadian Environmental Modelling Centre, Trent University, 1600 West Bank Drive, Peterborough, Ont., Canada K9J 7B8.
Chemosphere. 2005 Dec;61(10):1458-67. doi: 10.1016/j.chemosphere.2005.04.118. Epub 2005 Jul 20.
A novel and flexible approach is described for simulating the behaviour of chemicals in river basins. A number (n) of river reaches are defined and their connectivity is described by entries in an n x n matrix. Changes in segmentation can be readily accommodated by altering the matrix entries, without the need for model revision. Two models are described. The simpler QMX-R model only considers advection and an overall loss due to the combined processes of volatilization, net transfer to sediment and degradation. The rate constant for the overall loss is derived from fugacity calculations for a single segment system. The more rigorous QMX-F model performs fugacity calculations for each segment and explicitly includes the processes of advection, evaporation, water-sediment exchange and degradation in both water and sediment. In this way chemical exposure in all compartments (including equilibrium concentrations in biota) can be estimated. Both models are designed to serve as intermediate-complexity exposure assessment tools for river basins with relatively low data requirements. By considering the spatially explicit nature of emission sources and the changes in concentration which occur with transport in the channel system, the approach offers significant advantages over simple one-segment simulations while being more readily applicable than more sophisticated, highly segmented, GIS-based models.
本文描述了一种新颖且灵活的方法,用于模拟流域中化学物质的行为。定义了若干(n个)河段,并通过一个n×n矩阵中的条目来描述它们之间的连通性。通过改变矩阵条目,可以轻松适应分段的变化,而无需对模型进行修订。文中描述了两种模型。较为简单的QMX-R模型仅考虑平流以及由于挥发、向沉积物的净转移和降解等综合过程导致的总体损失。总体损失的速率常数源自单段系统的逸度计算。更为严格的QMX-F模型对每个河段进行逸度计算,并明确包括平流、蒸发、水-沉积物交换以及水中和沉积物中的降解过程。通过这种方式,可以估算所有隔室中的化学物质暴露情况(包括生物群中的平衡浓度)。这两种模型均设计用作数据需求相对较低的流域的中等复杂性暴露评估工具。通过考虑排放源的空间明确性质以及在河道系统中传输时发生的浓度变化,该方法相较于简单的单段模拟具有显著优势,同时比更复杂、高度分段的基于地理信息系统的模型更易于应用。