Publications by authors named "Margaret Reams"

Community-based participatory research provides communities with an avenue to actively collaborate with environmental researchers. The research aims to gain insight into critical problems of concern to community members while maintaining community autonomy over the research and its outcomes. This article describes the development and implementation of an environmental health communication tool designed to meet the needs of residents of Colfax, Louisiana, a rural community with limited technological access, which is engaging in advocacy with federal and state regulatory agencies to prohibit open burning and open detonation of military and Superfund wastes at a nearby thermal treatment site.

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This study investigates environmental justice (EJ) themes related to siting a hazardous waste thermal treatment facility near a low-income community of color. We investigated effects of living near a hazardous waste thermal treatment facility through three EJ aspects: recognitional, procedural, and distributive justice. The study involved the collection of oral history interviews from residents of Colfax, a town in Grant Parish, Louisiana, that hosts an open burn/open detonation hazardous waste thermal treatment facility.

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A community-integrated geographic information systems (CIGIS) study assimilating qualitative and quantitative information about human exposures and health was conducted in Colfax, Louisiana, which hosts a commercial open burn/open detonation thermal treatment (TT) facility that destroys waste from Superfund sites, explosives, military ordnances, and propellants. Fifty-eight percent of residents identified as Black, and median annual income was $16,318, with 90% of the population living below the poverty line. We conducted oral history interviews of twenty-nine residents and mined public records to document the community's experiences.

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Introduction Community resilience, the ability of a community to respond positively to adverse situations, is an increasingly important topic in public health. Many resilience frameworks are grounded in concepts initially developed by ecologists to describe and explain the capacity of complex systems, such as a community, to persist or return to its original state following disturbances. As a result, much of the research on resilience is concerned with maintaining systems in their current form, preventing degradation, or promoting recovery.

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The presence of legacy pollutants, on-going chemical manufacturing activities, and population shifts have introduced complex, cumulative exposure risks to residents of many highly industrialized communities. These "industrial corridors" present unique challenges to environmental health science professionals, public and private sector decision makers, and residents seeking to make their communities safer and healthier. Social-ecological resilience theory offers a useful framework for the design and implementation of community engagement efforts to help stakeholders take action to reduce their exposure risks.

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The abundant research examining aspects of social-ecological resilience, vulnerability, and hazards and risk assessment has yielded insights into these concepts and suggested the importance of quantifying them. Quantifying resilience is complicated by several factors including the varying definitions of the term applied in the research, difficulties involved in selecting and aggregating indicators of resilience, and the lack of empirical validation for the indices derived. This paper applies a new model, called the resilience inference measurement (RIM) model, to quantify resilience to climate-related hazards for 52 U.

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Airborne fine and ultrafine particulate matter (PM) are often generated through widely-used thermal processes such as the combustion of fuels or the thermal decomposition of waste. Residents near Superfund sites are exposed to PM through the inhalation of windblown dust, ingestion of soil and sediments, and inhalation of emissions from the on-site thermal treatment of contaminated soils. Epidemiological evidence supports a link between exposure to airborne PM and an increased risk of cardiovascular and pulmonary diseases.

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Residents of south Louisiana face a range of increasing, climate-related flood exposure risks that could be reduced through local floodplain management and hazard mitigation planning. A major incentive for community planning to reduce exposure to flood risks is offered by the Community Rating System (CRS) of the National Flood Insurance Program (NFIP). The NFIP encourages local collective action by offering reduced flood insurance premiums for individual policy holders of communities where suggested risk-reducing measures have been implemented.

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Residents facing environmental hazards can take steps to reduce their exposure risks, and these actions may be considered adaptations that can enhance the overall resilience of communities. Applying concepts from social-ecological resilience theory, the authors examine emergency planning and exposure-reducing behaviors among residents of the upper Industrial Corridor of Louisiana and explore the extent to which the behaviors are associated with key theoretical influences on community resilience: exposure, vulnerability, and the "adaptive capacity" of residents. The behaviors of interest are adoption of a household emergency plan in the case of acute exposure events (like chemical spills), and limiting outdoor activities in response to Air Quality Index reports, thus potentially reducing chronic exposure risks.

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While the United States has not established federal regulations for greenhouse gas (GHG) reduction targets, many US states have adopted their own standards and guidelines. In this study we examine state adoption of targets for GHG reductions during the ten-year period of 1998-2008, and identify factors that explain variation in target adoption. Potential influences are drawn from research from the public policy formulation and diffusion literature, and from studies specific to climate policy adoption.

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Many have voiced concern about the long-term survival of coastal communities in the face of increasingly intense storms and sea level rise. In this study we select indicators of key theoretical concepts from the social-ecological resilience literature, aggregate those indicators into a resilience-capacity index, and calculate an index score for each of the 52 coastal counties of Louisiana, Texas, Mississippi, Alabama and Florida. Building upon Cutter's Social Vulnerability Index work [1], we use Factor Analysis to combine 43 variables measuring demographics, social capital, economic resources, local government actions, and environmental conditions within the counties.

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In an effort to address climate change, many cities have joined the International Council for Local Environmental Initiatives (ICLEI) whose members commit to work toward five specific program objectives designed to reduce greenhouse gas emissions. This study examines the extent to which 257 member cities in the US have been successful in achieving these program milestones and identifies factors that may explain variation in the performance of member cities. Potential influences on milestone attainment include socioeconomic, political and ideological characteristics of residents, length of ICLEI membership, existence of other climate programs within the state, and local environmental pressures.

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Detailed estimates of carbon dioxide (CO) emissions at fine spatial scales are useful to both modelers and decision makers who are faced with the problem of global warming and climate change. Globally, transport related emissions of carbon dioxide are growing. This letter presents a new method based on the volume-preserving principle in the areal interpolation literature to disaggregate transportation-related CO emission estimates from the county-level scale to a 1 km grid scale.

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Regressions of aluminum against potentially toxic elements in the sediments of freshwater aquatic systems in Louisiana were used to distinguish natural variability from anthropogenic pollution when elemental concentrations exceeded screening effects levels. The data were analyzed using geometric mean model II regression methods to minimize, insofar as possible, bias that would have resulted from the use of model I regression. Most cadmium concentrations exceeded the threshold effects level, but there was no evidence of an anthropogenic impact.

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