TY - JOUR
T1 - Spatial bioaccumulation modeling in a network of bayous
AU - Luna, Ronaldo
AU - Watanabe, Karen H.
AU - Wilding, Andrew J.
N1 - Funding Information:
The authors would like to thank the Center for Bioenvironmental Research at Tulane and Xavier Universities and its staff in the Field Core, Analytical Core and the Data Management Core for their contributions to making this investigation possible. We would also like to acknowledge Drs. T. Bianchi, and G. Flowers who provided us with data used in the model. This material is based upon work supported by the National Science Foundation under Grant No. 9808363, and the US Department of Energy under Grant No. DE-FG21-93EW-53023.
PY - 2006/12
Y1 - 2006/12
N2 - A software system, Spatial Network Bioaccumulation Model (SNBM), was developed to model the bioaccumulation of polycyclic aromatic hydrocarbons (PAHs) in aquatic food webs. The SNBM uses a geographic information system as an engine to: (i) store the spatial representation of input parameters (the data related to the ecosystem), (ii) transfer input and output data to and from the food-web bioaccumulation model, and (iii) display the predicted food-web organism concentrations over a base map of the field site. The bioaccumulation model is a time-dependent, set of first-order ordinary differential equations that are solved numerically. Many sampling locations can be analyzed using the SNBM in one individual run. We demonstrate the system for a steady-state simulation of three PAHs, naphthalene, phenanthrene and benzanthracene in a food web for spotted gar (Lepisosteus oculatus) from the LaBranche Wetlands, Louisiana, USA. The predicted food-web organism concentrations are plotted at their respective sampling location.
AB - A software system, Spatial Network Bioaccumulation Model (SNBM), was developed to model the bioaccumulation of polycyclic aromatic hydrocarbons (PAHs) in aquatic food webs. The SNBM uses a geographic information system as an engine to: (i) store the spatial representation of input parameters (the data related to the ecosystem), (ii) transfer input and output data to and from the food-web bioaccumulation model, and (iii) display the predicted food-web organism concentrations over a base map of the field site. The bioaccumulation model is a time-dependent, set of first-order ordinary differential equations that are solved numerically. Many sampling locations can be analyzed using the SNBM in one individual run. We demonstrate the system for a steady-state simulation of three PAHs, naphthalene, phenanthrene and benzanthracene in a food web for spotted gar (Lepisosteus oculatus) from the LaBranche Wetlands, Louisiana, USA. The predicted food-web organism concentrations are plotted at their respective sampling location.
KW - Bioaccumulation model
KW - Food-web
KW - GIS
KW - Geographic information system
KW - PAH
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U2 - 10.1016/j.envsoft.2005.08.003
DO - 10.1016/j.envsoft.2005.08.003
M3 - Article
AN - SCOPUS:33746554341
SN - 1364-8152
VL - 21
SP - 1674
EP - 1683
JO - Environmental Modelling and Software
JF - Environmental Modelling and Software
IS - 12
ER -