Project 1 ABSTRACT The proposed Texas A&M University Superfund Research Center aims to mitigate human exposure to hazardous substances, specifically exposure to mixtures of contaminants that are redistributed by manmade or natural environmental disasters. Project 1 will investigate the redistribution of contaminated sediments from both soils and marine sediments as a consequence of natural disasters such as floods and storms. Changing climate, human-induced land subsidence, and rising sea levels have increased the vulnerability of coastal areas to environmental disasters worldwide. The proposed Center is focused on the Galveston Bay and Houston Ship Channel (GB/HSC), an area where our group has had decades of experience analyzing sediments, tissues of marine organisms, and water samples for legacy contaminants. The GB/HSC area includes the 4th largest metropolitan city in the US and is located near one of the most contaminated marine/coastal areas, with 22 listed or proposed Superfund sites. The area is prone to environmental disasters such as floods, tropical storms, and hurricanes; large storms may redistribute contaminants that are currently bound to sediments throughout the marine area and cause widespread land deposition of contaminants via storm surge and flooding. Our expertise forms a solid foundation to test our central hypothesis that characterizing current sediment and soil contaminant levels, sediment transport, redistribution, and transformation caused by extreme weather emergency events will identify exposure pathways of complex contaminated mixtures and inform methods to predict, respond to, and mitigate these exposures to protect the health of affected populations. Project 1 is critical to the overall Center as it will determine contaminant loading of marine sediments from historical data and new chemical analyses, establish the current background of contaminants in the soils of key areas identified by local communities, and collect and analyze samples before and after storm events. We will work with the Community Engagement Core to determine areas of concern to communities and then sample soils from land and marine sediments. We will also obtain already collected samples from a wide network of State and Federal government collaborators, and analyze all samples for hazardous contaminants of concern to Superfund. Through laboratory studies, we will determine the potential transformation of compounds in sediments as they are transported to land. Furthermore, we will develop predictive hurricane and flood models to determine the extent of hazardous contaminant mobilization during environmental emergencies. These models will be adaptable to other areas in the US and worldwide where similar concerns exist with respect to environmental emergencies that involve possible redistribution of sediments contaminated with hazardous chemicals. Working with the Exposure Science Core, Project 1 will perform targeted and non-targeted analyses of contaminants and characterize exposures under realistic environmental conditions. In addition, Project 1 will provide real-world contaminant mixtures of known and unknown hazardous pollutants to other Cores and Projects to determine the toxicity and risk to communities.

Public Health Relevance

PROJECT 1 NARRATIVE Natural disasters such as severe storms and floods have the capability to distribute legacy chemicals from marine and freshwater sediments and deposit them on land thus providing communities unknown risk of exposure to acute pollution. In addition, changing climate due to sea-level rise, potential increased intensity storms due to increased ocean warming and man-induced environmental changes such as land subsidence is making coastal communities more vulnerable to change. One area where the nexus of Superfund Sites and vulnerable coastal communities exist is the Galveston Bay/Houston Ship Channel (GB/HSC) region and this will be the focus of this study to analyze sediments of the area and determine the mobilization of contaminants through sophisticated 3D models, as well as providing samples to other groups within the Texas A&M Center for toxicity studies.

Agency
National Institute of Health (NIH)
Institute
National Institute of Environmental Health Sciences (NIEHS)
Type
Hazardous Substances Basic Research Grants Program (NIEHS) (P42)
Project #
5P42ES027704-03
Application #
9675289
Study Section
Special Emphasis Panel (ZES1)
Project Start
Project End
Budget Start
2019-04-01
Budget End
2020-03-31
Support Year
3
Fiscal Year
2019
Total Cost
Indirect Cost
Name
Texas A&M University
Department
Type
DUNS #
020271826
City
College Station
State
TX
Country
United States
Zip Code
77845
Zheng, Xueyun; Dupuis, Kevin T; Aly, Noor A et al. (2018) Utilizing ion mobility spectrometry and mass spectrometry for the analysis of polycyclic aromatic hydrocarbons, polychlorinated biphenyls, polybrominated diphenyl ethers and their metabolites. Anal Chim Acta 1037:265-273
MacLean, Brendan X; Pratt, Brian S; Egertson, Jarrett D et al. (2018) Using Skyline to Analyze Data-Containing Liquid Chromatography, Ion Mobility Spectrometry, and Mass Spectrometry Dimensions. J Am Soc Mass Spectrom 29:2182-2188
Horney, Jennifer A; Casillas, Gaston A; Baker, Erin et al. (2018) Comparing residential contamination in a Houston environmental justice neighborhood before and after Hurricane Harvey. PLoS One 13:e0192660
Brewster, Chase S; Sharma, Virender K; Cizmas, Leslie et al. (2018) Occurrence, distribution and composition of aliphatic and polycyclic aromatic hydrocarbons in sediment cores from the Lower Fox River, Wisconsin, US. Environ Sci Pollut Res Int 25:4974-4988
Luo, Yu-Syuan; Hsieh, Nan-Hung; Soldatow, Valerie Y et al. (2018) Comparative analysis of metabolism of trichloroethylene and tetrachloroethylene among mouse tissues and strains. Toxicology 409:33-43
Meyer, Michelle; Hendricks, Marccus; Newman, Galen et al. (2018) Participatory Action Research: Tools for Disaster Resilience Education. Int J Disaster Resil Built Environ 9:402-419
Wignall, Jessica A; Muratov, Eugene; Sedykh, Alexander et al. (2018) Conditional Toxicity Value (CTV) Predictor: An In Silico Approach for Generating Quantitative Risk Estimates for Chemicals. Environ Health Perspect 126:057008
Avraamidou, Styliani; Beykal, Burcu; Pistikopoulos, Ioannis P E et al. (2018) A hierarchical Food-Energy-Water Nexus (FEW-N) decision-making approach for Land Use Optimization. Int Symp Process Syst Eng 44:1885-1890
Avraamidou, Styliani; Milhorn, Aaron; Sarwar, Owais et al. (2018) Towards a Quantitative Food-Energy-Water Nexus Metric to Facilitate Decision Making in Process Systems: A Case Study on a Dairy Production Plant. ESCAPE 43:391-396
Guyton, Kathryn Z; Rusyn, Ivan; Chiu, Weihsueh A et al. (2018) Re: 'Application of the key characteristics of carcinogens in cancer hazard evaluation': response to Goodman, Lynch and Rhomberg. Carcinogenesis :

Showing the most recent 10 out of 56 publications