Supplemental Information for Probabilistic injury assessment and quantification for natural resource damage assessment using Bayesian networks: A case-study of the PCB-contaminated Mississinewa River Basin

Authors

April D. Reed, Western Washington University
Wayne G. Landis, Western Washington University

Document Type

Dataset

Publication Date

8-2025

Keywords

Bayesian networks, PCB, risk assessment, natural resource damage assessment, Mississinewa River Basin

Abstract

Supplemental Information

Bayesian network Images of the Subregional Bayesian Network models

The following pages contain images of the Bayesian network model with each of the six individual subregions selected. They are presented in order of distance from the PCB release site as follows:

• Little Mississinewa River
• Headwaters Mississinewa River
• Halfway Creek
• Pike Creek / Big Lick Creek
• Massey Creek
• Mississinewa Lake

The Netica file below can be opened and read with the free download version of Netica available at https://www.norsys.com/netica.html. The structure of the model and the notes for each node and the conditional probability tables can then be accessed. A licensed version of Netica can run and modify the file.

DOI

https://doi.org/10.25710/ft08-4465

Recommended Citation

Reed, April D. and Landis, Wayne G., "Supplemental Information for Probabilistic injury assessment and quantification for natural resource damage assessment using Bayesian networks: A case-study of the PCB-contaminated Mississinewa River Basin" (2025). Environmental Sciences Faculty and Staff Publications. 69.
https://cedar.wwu.edu/esci_facpubs/69

Geographic Coverage

Mississinewa River Basin

Type

Text

Rights

Copying of this document in whole or in part is allowable only for scholarly purposes. It is understood, however, that any copying or publication of this document for commercial purposes, or for financial gain, shall not be allowed without the author’s written permission.

Language

English

Format

application/pdf