Abstract
To understand the social distribution of environmental hazards, methods to assess cumulative effects and their health implications are needed. We developed a cumulative environmental hazard index integrating environmental data on pollution sites, air quality, and pesticide use; a social vulnerability index to measure residents’ resources to prevent or mitigate health effects; and a health index. We found that communities in California’s San Joaquin Valley with high social vulnerability face more environmental burdens and have worse health conditions.
Environmental hazards are not distributed randomly. Many low-income communities1 and communities of color2 face a higher concentration and magnitude of environmental hazards with significant potential health effects. These hazards, across multiple media, tend to cluster with one another, creating a cumulative effect. Communities with multiple environmental hazards tend to have fewer social, political, and economic resources to mitigate the potential health effects and to advocate on their own behalf.3–5 This has been described as the “double jeopardy” of environmental injustice and a systemic driver of health disparities.4,6 Environmental justice advocates argue that new policy approaches are needed to address the sociospatial bias that disproportionately puts their communities at risk.7–9
We developed a cumulative environmental health effects analysis methodology that combines measures of environmental hazards, social vulnerability, and health conditions to understand the environmental injustices in California’s San Joaquin Valley.
METHODS
We developed a cumulative environmental hazard index that integrated 6 data sets:
toxic release inventory sites;
refineries;
hazardous waste treatment, storage, and disposal facilities;
chrome platters;
pesticide applications for agricultural use; and
national-scale air toxic assessment.
These variables represent a significant portion of the overall environmental hazards in the region and have been validated in other environmental justice studies.3,8
We used census block groups as the unit of analysis. The cumulative environmental hazard index is a relative measure of environmental hazards in and around each block group and scores between 0 and 1. A higher value indicates that more environmental hazards are found within or around the block group.
The first 4 data sets—toxic release inventory sites; refineries; hazardous waste treatment, storage, and disposal facilities; and chrome platters—describe point source pollution (Table 1). The percent area of each block group that falls within the 1-mile buffer was calculated and incorporated into the cumulative environmental hazard index along with indicators describing pesticide applications and air toxic risks.
TABLE 1—
Data Set | Source | Years |
Cumulative Environmental Hazards Index | ||
Toxic release inventory sites | US Environmental Protection Agency | 2006 |
Refineries | California Air Resources Board | 2006 |
Hazardous waste treatment, storage, and disposal facilities | California Department of Toxic Substance Control | 2006 |
Chrome platters | California Department of Toxic Substance Control | 2006 |
Total amount of agricultural pesticide application per 1 mile2 | California Department of Pesticide Regulation | 2007 |
National-scale air toxic assessment | US Environmental Protection Agency | 2005 |
Social Vulnerability Index | ||
Sensitivity of receptors | ||
Percentage of people aged < 5 or > 60 y | American Community Survey | 2005–2009 |
Locations of health care facilities | Cal-Atlas (http://atlas.ca.gov/download.html) | 2010 |
Availability of social and economic resources | ||
Percentage of linguistically isolated households | American Community Survey | 2005–2009 |
Percentage of population in poverty | American Community Survey | 2005–2009 |
Percentage of people of color | American Community Survey | 2005–2009 |
Percentage of people aged > 25 y without a high-school diploma | American Community Survey | 2005–2009 |
Health Index | ||
Low birth weight rate | California Department of Public Health | 1999–2007 |
Years of potential life lost before age 65 y | California Department of Public Health | 1999–2007 |
Asthma hospitalization rate ages 0–19 y | California Office of Statewide Health Planning and Development | 1999–2007 |
Pesticide density was described as the total amount of active ingredient per square mile of agricultural pesticide applications. We calculated the mean value of pesticide density for each block group. We used the national-scale air toxic assessment to estimate the risk of different kinds of cancer and other serious health effects from inhaling air toxics. This analysis was based on census tracts: we assigned the total risk of cancer of a tract to all the block groups contained within it.
Finally, we normalized the data by dividing each data set by its maximum value. The cumulative environmental hazard index was then calculated as the mean value of the 3 data sets (point source, pesticides, air toxic health risks).
Social Vulnerability Index
We developed a social vulnerability index that included 6 data sets (Table 1):
age,
locations of health care facilities,
linguistic isolation,
poverty rate,
race/ethnicity, and
education.
Census block groups were used as the unit of analysis. The social vulnerability index measures both the sensitivity of the receptors and the social and economic resources available to prevent or mitigate effects.
The social vulnerability index was calculated as the mean value of the 6 data sets resulting in a relative measure with values between 0 and 1: the higher the value, the more vulnerable the residents of a block group are to the effects of environmental hazards.
Health Index
A health index was constructed from data on low-birth-weight rate, years of potential life lost before age 65 years, and asthma hospitalization rate for ages 0 to 19 years. These factors have been shown to be correlated with a range of environmental hazards.3,5,8 These health data were reported by zip code and provided by Central Valley Health Policy Institute, California State University, Fresno. We converted data to block groups in ArcGIS 9.3 (ESRI, Redlands, CA).
We normalized low birth weight rate, years of potential life lost before age 65 years, and asthma hospitalization rate for ages 0 to 19 years by dividing each data set by its maximum value. For each zip code, the maximum value of the 3 health indicators was assigned as the value on the health index. In this way, the health index was designed to reflect high value (i.e., more health problems) from any indicator.
Finally, we conducted a correlation analysis among the cumulative environmental hazard index, social vulnerability index, and health index in SPSS version 19 (IBM, Somers, NY).
RESULTS
Our results showed that the cumulative environmental hazard index was correlated (via Pearson product moment correlation) with the social vulnerability index and health index at the 99% confidence level, with coefficients of 0.296 and 0.092, respectively. These results align with those of earlier studies that showed a correlation of race, ethnicity, and socioeconomic status with the presence of disproportionate environmental hazards.3,5,7,9 Populations confronting higher concentrations of environmental hazards and greater health challenges also tend to be the very populations that are most sensitive and vulnerable to these environmental and health conditions.
DISCUSSION
We used indices that combined multiple indicators to construct a cumulative measure of the environmental, social, and health conditions. This attention to cumulative influences and conditions, and not only single-issue or single-media analyses, allows for a more holistic understanding of the lived experiences of the most vulnerable populations and hopefully collaborative partnerships between environmental justice advocates and public environmental and health agencies.
Acknowledgments
This research was supported by funding from the Ford Foundation through the UC Davis Environmental Justice Project of the John Muir Institute of the Environment.
An earlier version of this study was presented at the International Geoscience and Remote Sensing Symposium in July 2010 and published in the conference proceedings titled “Cumulative Environmental Impacts and Social Vulnerability in San Joaquin Valley, California.”
The authors thank the San Joaquin Valley Cumulative Health Impact Project for their partnership.
Note. The analysis was completed by the authors and does not necessarily reflect the opinions of the San Joaquin Valley Cumulative Health Impact Project.
Human Participant Protection
No protocol approval was necessary because we used only health data (low-birth-weight rate, years of potential life lost before age 65 years, and asthma hospitalization rate for ages 0–19 years) aggregated at the zip code level.
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