NJIT eTD: The New Jersey Institute of Technology's electronic Theses & Dissertations
Title:
Development and application of a computer simulation tool for ecological risk assessments
Author:
Lu, Haiyi
Document Type:
Thesis
Department:
Department of Civil and Environmental Engineering
Degree:
Master of Science
Major:
Environmental Engineering
Advisory Committee:
Axe, Lisa
Tyson, Trevor
Watts, Daniel
Ebinger, Michael H.
Hahn, Dittmar
Thesis Date:
2001, January
Keywords:
Ecological Risk Assessment (ERA)
Computer Simulation Tools
Data Base Management Systems (DBMS)
Availability:
Unrestricted
Abstract:

In an effort to improve tools in ecological risk assessment (ERA), an ERA software tool was developed and applied. Based on a preliminary evaluation of existing ecorisk models, the relative deficiencies were identified and included the need for a user-friendly interface, an interactive database management system (DBMS), and a comprehensive evaluation of exposure pathways. In this research, Visual Basic (VB) 6.0 and Microsoft SQL server were selected for developing the Windows-based interface and local DBMS, respectively. For the exposure estimate, Yuma and Aberdeen Proving Grounds were identified as baseline ecosystems. Terrestrial and aquatic plant and animal receptor selection was based on the U.S. EPA Guidelines for ERA. All potential exposure pathways were included. Overall, results of the case study of replacing electroplated chromium coatings with sputtered tantalum showed that the most significant exposure resulted from molybdenum and hexavalent chromium, which posed moderately high and slight potential adverse risks to aquatic and terrestrial species at both sites. On the other hand, tantalum (with vanadium as the surrogate) resulted in the least risk to the receptors within the studied areas. However, a slight potential adverse risk was also observed for a large faction of terrestrial mammals at both sites as a result of using sodium vanadate as surrogate for Ta. An uncertainty analysis was included to address the data quality and demonstrated that distribution coefficients have the most influence on the results.

Complete Thesis:
njit-etd2001-004 (170 pages ~ 9,902 KB pdf)
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Created August 20, 2001
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