A Community-Integrated Geographic Information System Study of Air Pollution Exposure Impacts in Colfax, LA.

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. Interviews focused on themes of Colfax's history, changing community fabric, resident health, and air pollution. The oral histories and public comments by community members provided information about lived experiences, including several health conditions, toleration of noise and vibration, property damage, and resulting changes to activity levels. These statements provided insight into the extent of suffering experienced by the local community. We also ran dispersion models for dates in 2020 when the waste stream composition, mass, and burn/smoldering times were provided in the facility's public records. The dispersion models placed the air pollution at the homes of residents during some of the time, and waste stream records from the TT facility agree with community testimony about health effects based on the known health effects of those compounds. CIGIS integration of our community-based qualitative data and maps with quantitative air pollution dispersion model output illustrated alignment between community complaints of impacts to health and property, known toxicological information about waste stream compounds, and dispersion model output.

Applying community resilience theory to engagement with residents facing cumulative environmental exposure risks: lessons from Louisiana's industrial corridor.

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. A resilience framework views the human community as a coupled social-ecological system, wherein disturbances to the equilibrium of the system - acute and/or chronic - are common rather than rare events. It recognizes three key capacities of more resilient communities. These are the abilities of community members to self-organize to address changing threat levels, to hold scientifically sound understandings of the risks, and to learn from past experiences and take action - individually or collectively - to adapt to or mitigate the hazards in their local environment. We apply this resilience theory framework to a case study from Camp Minden, Louisiana, conducted through the Louisiana State University (LSU) Superfund Research Center's Community Engagement program and supported by the National Institute of Environmental Health Sciences (NIEHS). The case illuminates a critical path by which resilience theory can be applied to guide bi-directional communication and information-gathering, and co-development of risk-reducing strategies at the community level. These are central elements of community engagement within a contentious, real-world setting. The three components of the resilience framework were supported by specific program mechanisms and activities. The capacity for self-organization among community stakeholders was furthered through the convening of a Dialogue Committee which brought together representatives of concerned residents, regulatory agencies, research scientists, and others. This collaborative problem-solving approach supported a more holistic and scientifically sound understanding of the problem through a series of interactive meetings in which members discussed site-remediation options with thermal-treatment experts and regulators, and shared how recent explosions and concerns about air quality affected them. The members co-developed selection criteria and reached consensus on two types of disposal methods that would best reduce the significant threats to public health and the local environment. We also include a brief summary of our recent randomized survey of over 550 residents of Louisiana's industrialized communities to determine the influences on household-level adaptive behaviors to reduce acute and chronic environmental exposure risks. The results of the logistic regression analysis indicate that residents with more concern and knowledge about environmental hazards, along with confidence in their ability to implement risk-reduction measures - such as checking air-quality forecasts and then limiting outside activities - were much more likely to adopt the exposure-reducing behaviors, even when controlling for socioeconomic and demographic differences among respondents. These findings shed light on the conditions under which residents of these types of communities may be more likely to take action to reduce potential environmental exposure risks, and may help in the design of public education efforts. These "lessons learned" from Louisiana communities facing cumulative environmental exposure risks suggest that application of resilience theory to the design and implementation of community engagement programs may support the longer-term effectiveness of the efforts and enhance overall environmental health resilience. In addition, they provide practical insights about how to operationalize and apply these theoretical concepts to real-world environmental health challenges faced by residents of industrialized communities throughout the world.

Community resilience and critical transformations: the case of St. Gabriel, Louisiana.

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. However, for a system that is stuck in a trap, or an unfavorable state, deliberate efforts to build the components that contribute to resilience, called adaptive capacities, may enable that system to reorganize after a disturbance to reach a more favorable state. Objective The purpose of this research was to apply a resilience framework to analyze how the community of St. Gabriel, Louisiana adapted in response to environmental change. Methods We used qualitative case-study methodologies to systematically collect newspaper articles, which served as primary data sources to examine how resilience and adaptive capacity evolved in the community of St. Gabriel, Louisiana. Results Key events in the recent history of St. Gabriel include industrial development, growing concern about environmental health and pollution, the environmental justice (EJ) movement, and the incorporation of the community as a self-governing municipality. Two events, the community's organized resistance to a large hazardous waste facility and the change in government structure, represent critical transformations, or fundamental changes in how the community functions. Conclusion The incorporation of St. Gabriel gave community members more input in planning and development decisions. As a result, the community has taken steps to improve public health in the form of zoning ordinances to prevent new exposure risks and building community infrastructure, such as a new sewer system and a recreation center.

Measuring Community Resilience to Coastal Hazards along the Northern Gulf of Mexico.

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.S. counties along the northern Gulf of Mexico. The RIM model uses three elements (exposure, damage, and recovery indicators) to denote two relationships (vulnerability and adaptability), and employs both K-means clustering and discriminant analysis to derive the resilience rankings, thus enabling validation and inference. The results yielded a classification accuracy of 94.2% with 28 predictor variables. The approach is theoretically sound and can be applied to derive resilience indices for other study areas at different spatial and temporal scales.

Influences on Adaptive Planning to Reduce Flood Risks among Parishes in South Louisiana.

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. This preliminary analysis examines the extent to which parishes (counties) in southern Louisiana have implemented the suggested policy actions and identifies key factors that account for variation in the implementation of the measures. More measures implemented results in higher CRS scores. Potential influences on scores include socioeconomic attributes of residents, government capacity, average elevation and past flood events. The results of multiple regression analysis indicate that higher CRS scores are associated most closely with higher median housing values. Furthermore, higher scores are found in parishes with more local municipalities that participate in the CRS program. The number of floods in the last five years and the revenue base of the parish does not appear to influence CRS scores. The results shed light on the conditions under which local adaptive planning to mitigate increasing flood risks is more likely to be implemented and offer insights for program administrators, researchers and community stakeholders.

Addressing Emerging Risks: Scientific and Regulatory Challenges Associated with Environmentally Persistent Free Radicals.

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. It is well-known that during combustion processes, incomplete combustion can lead to the production of organic pollutants that can adsorb to the surface of PM. Recent studies have demonstrated that their interaction with metal centers can lead to the generation of a surface stabilized metal-radical complex capable of redox cycling to produce ROS. Moreover, these free radicals can persist in the environment, hence their designation as Environmentally Persistent Free Radicals (EPFR). EPFR has been demonstrated in both ambient air PM2.5 (diameter < 2.5 µm) and in PM from a variety of combustion sources. Thus, low-temperature, thermal treatment of soils can potentially increase the concentration of EPFR in areas in and around Superfund sites. In this review, we will outline the evidence to date supporting EPFR formation and its environmental significance. Furthermore, we will address the lack of methodologies for specifically addressing its risk assessment and challenges associated with regulating this new, emerging contaminant.

Applying a community resilience framework to examine household emergency planning and exposure-reducing behavior among residents of Louisiana's industrial corridor.

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. Statistical analyses indicate that adaptive behaviors are associated both with greater exposure to hazards and confidence in one's knowledge and ability to reduce exposure risks. Thus, the study yields evidence that "adaptive capacity" is particularly relevant to understanding and encouraging household emergency planning. Residents who believe that they are well-informed about risk-reducing strategies, regardless of education or income, were found to be more likely to have adopted these measures. Evidence that knowledge and confidence levels are linked to adaptive behaviors is good news for those working in public education and outreach programs, as these are attitudes and skills that can be nurtured. While factors associated with exposure and vulnerability to hazards are difficult to change, knowledge of risk-reducing strategies and confidence in one's abilities to reduce exposure risks can be improved through well-designed public education efforts.

Influences on Adoption of Greenhouse Gas Reduction Targets among US States, 1998-2008.

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. Potential influences on GHG reduction efforts among US states include socioeconomic attributes of residents, political and ideological orientations of citizens and state government, interest group activities, environmental pressures, and proximity to other states that have adopted GHG reduction targets. The findings of the multinomial logistic regression analysis indicate that states are more likely to adopt GHG reduction targets if they share a border with another state with a similar climate program and if their citizens are more ideologically liberal. Other factors including socioeconomic resources and interest group activities were not found to be associated with policy adoption. The findings yield insights into the conditions under which states are more likely to take action to reduce GHG's, and are relevant both to state policy makers and residents with an interest in climate planning, and for researchers attempting to estimate future greenhouse gas reduction scenarios.

Achievement of Climate Planning Objectives among U.S. Member Cities of the International Council for Local Environmental Initiatives (ICLEI).

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. Multiple regression results indicate that length of membership is the strongest predictor of milestone attainment, regardless of local socioeconomic conditions, ideological and political orientations of residents, or other climate-related initiatives within the state. This finding supports the general effectiveness of ICLEI's network organizational model and its outreach and education efforts. However, member cities facing more "climate stress", including higher levels of hazardous air pollutants (HAP's) and greater automobile use among residents are making slower progress. The findings yield insight into the conditions under which cities engaged in climate planning are more likely to succeed in reducing local greenhouse gas emissions-relevant information for planners, community stakeholders and administrators of organizations like ICLEI.

Measuring Capacity for Resilience among Coastal Counties of the US Northern Gulf of Mexico Region.

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. Then, we map the counties' scores to show the spatial distribution of resilience capacities. The counties identified as having the highest resilience capacities include the suburban areas near New Orleans, Louisiana and Tampa, Florida, and the growing beach-tourist communities of Alabama and central Florida. Also, we examine whether those counties more active in oil and gas development and production, part of the region's "energy coast", have greater capacity for resilience than other counties in the region. Correlation analyses between the resilience-capacity index scores and two measures of oil and gas industry activity (total employment and number of business establishments within five industry categories) yielded no statistically significant associations. By aggregating a range of important contextual variables into a single index, the study demonstrates a useful approach for the more systematic examination and comparison of exposure, vulnerability and capacity for resilience among coastal communities.

A new method for estimating carbon dioxide emissions from transportation at fine spatial scales.

Detailed estimates of carbon dioxide (CO2) 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 CO2 emission estimates from the county-level scale to a 1 km2 grid scale. The proposed volume-preserving interpolation (VPI) method, together with the distance-decay principle, were used to derive emission weights for each grid based on its proximity to highways, roads, railroads, waterways, and airports. The total CO2 emission value summed from the grids within a county is made to be equal to the original county-level estimate, thus enforcing the volume-preserving property. The method was applied to downscale the transportation-related CO2 emission values by county (i.e. parish) for the state of Louisiana into 1 km2 grids. The results reveal a more realistic spatial pattern of CO2 emission from transportation, which can be used to identify the emission 'hot spots'. Of the four highest transportation-related CO2 emission hotspots in Louisiana, high-emission grids literally covered the entire East Baton Rouge Parish and Orleans Parish, whereas CO2 emission in Jefferson Parish (New Orleans suburb) and Caddo Parish (city of Shreveport) were more unevenly distributed. We argue that the new method is sound in principle, flexible in practice, and the resultant estimates are more accurate than previous gridding approaches.

Toxic Elements in Aquatic Sediments: Distinguishing Natural Variability from Anthropogenic Effects.

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. In Bayou Trepagnier, high concentrations of Cr, Cu, Pb, Ni, and Zn appeared to reflect anthropogenic pollution from a petrochemical facility. In Capitol Lake, high Pb concentrations were clearly associated with anthropogenic impacts, presumably from street runoff. Concentrations of potentially toxic elements varied naturally by as much as two orders of magnitude; hence it was important to filter out natural variability in order to identify anthropogenic effects. The aluminum content of the sediment accounted for more than 50% of natural variability in most cases. Because model I regression systematically under-estimates the magnitude of the slope of the regression line when the independent variable is not under the control of the investigator, use of model II regression methods in this application is necessary to facilitate hypothesis testing and to avoid incorrectly associating naturally high elemental concentrations with human impacts.