Conceptual Site Model for Newark Bay—Hydrodynamics and Sediment Transport

Autor: Parmeshwar L. Shrestha, Steave H. Su, Scott C. James, Philip J. Shaller, Macan Doroudian, Clifford E. Firstenberg, Carlie T. Thompson

Publikováno v: Journal of Marine Science and Engineering, Vol 2, Iss 1, Pp 123-139 (2014)

A conceptual site model (CSM) has been developed for the Newark Bay Study Area (NBSA) as part of the Remedial Investigation/Feasibility Study (RI/FS) for this New Jersey site. The CSM is an evolving document that describes the influence of physical,

Externí odkaz: https://doaj.org/article/0751959b15e546c79ebb9e8af615319f

Tracking polychlorinated biphenyls (PCBs) congener patterns in Newark Bay surface sediment using principal component analysis (PCA) and positive matrix factorization (PMF)

Autor: Steave H. Su, Tarek Saba

Publikováno v: Journal of Hazardous Materials. 260:634-643

PCB congener data for Newark Bay surface sediments were analyzed using PCA and PMF, and relationships between the outcomes from these two techniques were explored. The PCA scores plot separated the Lower Passaic River Mouth samples from North Newark

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f20d26d5296cf472e853d709f397d446
https://doi.org/10.1016/j.jhazmat.2013.05.046

Conceptual Site Model for Newark Bay—Hydrodynamics and Sediment Transport

Autor: Steave H. Su, Scott C. James, Macan Doroudian, Parmeshwar L. Shrestha, Carlie T. Thompson, Philip J. Shaller, Clifford E. Firstenberg

Publikováno v: Journal of Marine Science and Engineering
Volume 2
Issue 1
Pages 123-139
Journal of Marine Science and Engineering, Vol 2, Iss 1, Pp 123-139 (2014)

A conceptual site model (CSM) has been developed for the Newark Bay Study Area (NBSA) as part of the Remedial Investigation/Feasibility Study (RI/FS) for this New Jersey site. The CSM is an evolving document that describes the influence of physical,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c84f286bc61271dfa2e3751d5114efac

Probabilistic Approach to Ranking Sources of Uncertainty in ELF Magnetic Field Exposure Limits

Autor: T. Dan Bracken, Steave H. Su, William H. Bailey

Publikováno v: Health Physics. 77:282-290

There is a need to improve the biological data, dosimetry, and risk assessment methodology used for setting guidelines for occupational exposures to extreme-low-frequency magnetic fields. This paper illustrates how a probabilistic approach can be use

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12501197e61cc03d5abc04acfbe04c9c
https://doi.org/10.1097/00004032-199909000-00006

Distributions of key exposure factors controlling the uptake of xenobiotic chemicals in an estuarine food web

Autor: David E. Rabbe, Timothy J. Iannuzzi, Steave H. Su, Heather Carlson-Lynch, Nadine M. Shear, Cynthia L. Curry, Natalie W. Harrington, Miranda H. Henning

Publikováno v: Environmental Toxicology and Chemistry. 15:1979-1992

A critical evaluation of literature on the behavior, physiology, and ecology of common estuarine organisms was conducted in an attempt to develop probabilistic distributions for those variables that influence the uptake of xenobiotic chemicals from s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0d3c619916d806b1b8a683037227ad72
https://doi.org/10.1002/etc.5620151117