There are more than 1,300 of these spots in all dubbed Superfund sites by the federal government where toxic chemicals from factories and landfills were dumped for decades, polluting the surrounding soil, water and air. According to the EPA, "Superfund requires EPA to deal with abandoned, accidentally spilled, or illegally dumped hazardous substances from the past, primarily from businesses and industry. Life expectancy data were downloaded from the National Center for Health Statistics (NCHS) database (https://www.cdc.gov/nchs/nvss/usaleep/usaleep.html). Total Environ. 6 showed that the consumption of fruit and vegetables could reduce the inequalities in disability-free LE between 0.1 and 1.8 years. Int. Select a State. Out of the 65,226-census tracts with data, 50,000 were chosen randomly for the purpose of training, and the rest were used for validation. Only tracts with at least one Superfund site (N=12,717) were chosen to explore the effect of Superfund characteristics. Finding information on specific Superfund sites. There are maps and you can search by state, site name, or the date the site was added, to find Superfund sites in your target area. Generally, immigrants in the U.S. have longer LE compared to U.S. citizens43, which is compatible with the findings in both effect modification and quantile analysis. Superfund Sites in Texas by Site Name Find information about state and federal Superfund sites by site name. Webber, B. . EPA. The flooding percentage could also change by changing the radius size. Mueller, B. Related story: Wasteland , By Anna Scalamogna, Jason Treat, and Xaqun G.V., NGM Staff; Meg Roosevelt. Last month, the area around Meeker Avenue became the city's newest Superfund site. Fruit and vegetable consumption and its contribution to inequalities in life expectancy and disability-free life expectancy in ten European countries. Environ. As noted before for the majority of these sites, their presence dates as far back as the 1930s and 1940 while cleanup activities did not start till the 80s35. View larger map of NPL and SAA sites Percent white showed almost a constant effect on the different quantile of LE up to 90% percentile and a sudden jump in the higher 10% of LE. Its now financed by the general fundthat is, by all taxpayers. PubMedGoogle Scholar. The presence of Superfund sites as a determinant of life - Nature Harwood, A. D., Sutherland, G. E., Woller-Skar, M. M., Lydy, M. J. The performance of the developed regression model in this study was tested against a non-linear machine-learning (ML) algorithm (Random Forests) to examine the validity of the regression model. (2018). Read the news release | Read the proposed rule. While tracts with no Superfund site showed the highest LE, the effect of being part of NPL was more critical than the other two factors (i.e., flooding and cleanup). The presence of a Superfund site in a census tract with smaller than median income ($52,580) could reduce the LE by as much as 0.58 years (0.58 as the Superfund Site when binary dummy for income is zero). Similarly, and for research question 4, effect modification was performed to assess how Superfund sites with different properties, flooding, NPL, and cleanup activities, may affect the LE differently. Active65 of these sites have been active since September 1983. In other words, among census tracts with the most disadvantage, with regards to sociodemographic variables, the negative effect of Superfund sites is more intense. The fact that sociodemographic variables also showed a significant difference could make the conclusion mentioned above less related to the presence of the sites exclusively. Acemoglu, D. & Johnson, S. Disease and development: The effect of life expectancy on economic growth. Figure2 shows the effect of Superfund presence on LE (Superfund Site) in tracts with sociodemographic variables below and above the national median values. Nat. Barrington-Leigh, C. & Galbraith, E. Feasible future global scenarios for human life evaluations. Superfund Sites in Texas - Texas Commission on Environmental Quality Sci. All sociodemographic variables except income were input to the model as a percent (0100%), and income was entered into the model as a multiple of $10,000 (i.e., 3.7 instead of $37,000). Regional inequalities in benzene exposures across the European petrochemical industry: A Bayesian multilevel modelling approach. The NPL is a published list of hazardous waste sites in the country that are being cleaned up under the Superfund Program. Google Scholar. Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980-2015: a systematic analysis for the Global Burden of Disease Study 2015. Technol. Life expectancy among Japanese of different smoking status in Japan: NIPPON DATA80. & Ganju, N. K. Sediment chemistry and toxicity in Barnegat Bay, New Jersey: Pre- and post-Hurricane Sandy, 2012-13. EPAs Superfund Accomplishments Report for fiscal year 2023 highlights efforts to clean up the nations most contaminated lands, respond to environmental emergencies and natural disasters, and advance environmental justice. Click an EPA region on the map to display sites in a particular region (1-10). J. Environ. Figure4 shows the box plot of LE among tracts with different Superfund site characteristics. PFAS Experts Symposium: Statements on regulatory policy, chemistry and analytics, toxicology, transport/fate, and remediation for per- and polyfluoroalkyl substances (PFAS) contamination issues. In this study, statistical methods were used to provide evidence of shorter LE in association with residential proximity to a Superfund site even after accounting for measures of sociodemographic confounding. How many Superfund sites are there? For the purposes of the current study, the matching technique was implemented by considering tracts with Superfund sites as the treated group, and comparing the LE in treated and untreated groups (with no Superfund site). and C.N.D. J. Environ. As shown in the table, the Superfund site coefficient in the OLS model, developed solely based on the Superfund site, was significant with a relatively large coefficient (1.146). Commun. Superfund sites, like many chemical and industrial facilities that are vulnerable to hurricanes and flooding, could harmfully affect the life of millions of people51. D 52, 331350 (2003). Simon, J. Geochem. Toxic waste sites and environmental justice: Research roundup The achieved R2 from the OLS regression model developed in this study is higher than most of the other studies that had values that ranged from 0.110 to 0.6519. Superfund - FAQs - Answers to Frequently Asked Questions - EHSO The effect modification analysis was conducted by comparing i and i + j for each of the eight developed OLS regression models. Given that the relationship between LE and the selected sociodemographic variables is most likely non-linear, it is important to use a non-linear model to explore the extent of variability in the LE that can be explained by the variables. These sites have been deemed so harmful to health that they are listed on something called the National Priorities List (NPL) and their cleanup is handled by the Environmental Protection Agency (EPA). Superfund Sites in Waterbury - Connecticut General Assembly Sites have been studied, and cleanup plans proposed. Flooding, in addition to inundation of affected land areas, could facilitate the transport of contaminants from Superfund sites and potentially affect neighborhoods farther than the nearby fence-line communities;14,31,32 such effects can potentially be exacerbated by a changing future climate30,33. Thus, other sociodemographic variables (selected based on the pairwise correlations) were then added in a stepwise manner in the order of their correlation magnitude with the LE (a total of nine OLS regression models). 2. Anenberg, S. C. & Kalman, C. Extreme weather, chemical facilities, and vulnerable communities in the U.S. Gulf Coast. 16, e1002856 (2019). Sites where you live Cleanup process History Success stories CERCLA overview Environmental justice Community Involvement Introduction Technical assistance for communities Community Advisory Groups Tools and resources Citizen excellence Training and professional development Superfund Redevelopment Redevelopment home Commun. Future works could include identifying such confounders and investigate their effects on the effect of Superfund sites on LE. There were no racial and educational differences in general, while significant differences were observed when only tracts with Superfund sites were compared with their neighbors. A recent study showed the chance of inundation for areas situated in floodplains could range from 2 to 10 times per year across the contiguous US50, indicating the high probability of flooding on these sites. Kulp, S. A. Figure3 shows the results of quantile regression and the effect of sociodemographic variables and the presence of Superfund sites on different LE stratifications. (3) How does the effect of Superfund sites on LE vary in tracts with different sociodemographic characteristics? Eagle Mine Superfund site now 5.3 acres smaller as EPA removes portion Moreover, given the recent report by the Government Accountability Office (GAO) that revealed that approximately 60% of Superfund sites managed by EPA could potentially be affected by natural hazards (e.g., flooding and wildfire)30, this study explores the associations between the flooding potential at Superfund sites and its role in LE. provided text and feedback on the structure and content of the manuscript. We'll list the number of Superfund sites in each state and territory below. ADS For each variable, a binary dummy variable was defined as the product of Superfund presence (0 or 1) and being above (1) or below (0) the median value of the corresponding sociodemographic variable; a separate OLS regression was performed for each variable: where 0 is the OLS regression constant, i is the regression coefficient for the Superfund sites and sociodemographic variables, n is the total number of variables in the regression, Xi is the sociodemographic variable, Dj is the binary dummy variable explained earlier (with a value of 0 or 1), which is the product of Superfund presence and being above or below the median, and j is the regression coefficient for the binary dummy variable.
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