Where you live and who you are defines your relationship with the environment. This project explores environmental injustices faced by Los Angeles residents.
What happens to trash after it leaves our houses? Who decides where power plants are built? And most importantly, who bears the burden for the polluted air, water, and soil created by our overconsumption?
The 20th century environmental movement was critical in establishing regulatory organizations that provide for our clean air and water, but it wasn’t until the late 1970s that environmental inequities were brought to the mainstream. From Black-led protests in Houston against the building of a landfill near public schools in 1979 to the present day, activists demonstrated that marginalized communities often suffered the worst pollution, whether it be via the construction of factories or landfills or less funding for infrastructure. And Los Angeles is no exception — a battery factory released lead into the atmosphere, resulting in dangerously high lead concentrations in the soil around southeast Los Angeles. Although the factory was closed in 2015, the city has not yet cleaned the lead-contaminated soil.
Considering these current issues and their relevance to Los Angeles, how do we protect the environment while keeping racial and socioeconomic equity in mind?
Airqualitree uses data to study the intersection of air quality, water quality, green space, and environmental justice in Los Angeles. We argue that despite recent environmental work, race and socioeconomic status affect one’s access to clean air, clean water, or urban greenspace, with marginalized communities experiencing more pollution than their white and/or more affluent counterparts.
For this project, we analyzed air and water quality data from the CalEnviroScreen 2.0 and 3.0 reports, a screening tool created by the CalEPA and California State Department in 2017 to summarize the state of California’s environment. This report comprehensively examines pollution indices, geography, income levels, demographics, and other pertinent variables across the state. Additionally, for green space, we analyzed Los Angeles tree canopy data from Jarlath O’Neil-Dunne, a scientist at the University of Vermont’s Spatial Analysis Lab.
Our project looked for correlations between a community’s demographic variables and its environmental burden to determine whether low-income communities of color experience higher PM2.5, water pollutant concentrations, and/or less green space.
The current consensus among scholars is that environmental burdens, particularly poor air and water quality, are not shared equitably by all demographic groups (Shamasunder 2018). Low-income communities of color suffer from worse air and water quality, resulting in more severe health problems like increased preterm births and respiratory illness (Environmental Justice Coalition for Water 2014; Jerrett et al. 2001; Pearce and Zawar-Reza 2006; Schaider et al. 2019; Su et al. 2009).
Beyond this consensus, however, academics disagree on certain aspects and definitions. For instance, the exact definition of air and water quality is contentious, with scholars using different metrics to parameterize these variables. Some studies look specifically at one pollutant and its effects (e.g. PM10 or PM2.5), while others may look at multiple in conjunction (e.g. PM2.5 and tropospheric ozone) (Jerrett et al. 2001; Zesemayat 2021). Typically, the more pollutants included in the analysis, the more comprehensive the results. However, increasing the number of pollutants in a study can make data analysis too unwieldy and the project's scope too broad.
Furthermore, scholars also disagree about the extent to which environmental inequity leads to negative outcomes and which particular socioeconomic groups are most vulnerable to pollution (Pastor & Sadd 2004). Often, the most pertinent predictors for air pollution vary across different cities. For instance, studies in New Zealand and Canada have found that ethnicity did not strongly correlate with air pollution, while communities of color in Los Angeles experience significantly higher pollutant levels (Jerrett et al. 2001; Pearce and Zawar-Reza 2006; Su et al. 2009). Therefore, there is still room to explore environmental justice beyond the current consensus.
For urban green space, literature suggests that the amount of urban tree canopy cover in a neighborhood positively correlates with income level; however, scholars disagree as to whether race and ethnicity correlate with urban tree canopy across all cities, with one study finding that urban tree canopy correlates more with income than race among metropolitan areas across the United States. The same study argued that any correlations between a neighborhood’s racial or ethnic makeup and tree canopy cover is confounded by other variables, such as income (Schwarz et al. 2015). However, for Los Angeles, other studies observed a strong negative correlation between the percentage of Black and Hispanic individuals in certain areas and green space (Sister, Wolch, and Wilson 2010).
In addition, scholars generally agree that more urban green space reduces air pollution and thus improves a community's health (Lai and Kontokosta 2019; Nowak, Crane, and Stevens 2006). However, questions still remain regarding the best practice policies and guidelines for addressing environmental injustices, both within Los Angeles County and globally (West and Cohen 2016).
Some of the world’s most pressing problems, like climate change and pollution, are not equitably distributed, and marginalized groups bear the brunt of these issues despite contributing less to environmental degradation than others. Unlike solely scientific studies, Airqualitree aims to center the human experience in what is usually a scientific research topic.
To some, air and water quality may appear as arrays of numbers, devoid of humanity. To us, these numbers are one way to reconstruct how marginalized groups experience pollution in Los Angeles and how it shapes their health and future outcomes. And although these findings appear to be localized to Los Angeles, our conclusions may extend to other urban areas across the United States. By understanding inequities in pollution, we can reverse centuries of systemic oppression that affect the health of marginalized groups. We strive to use data to empower and to uplift communities so that future generations have access to the same clean air, water, and greenspace, regardless of their identity.
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View a timeline depicting the history of environmental justice in Los Angeles and across the country, and learn more about the data used in this project.
Learn about the relationship between race, socioeconomic status, human health, and environment. Explore the future of environmental justice research.
Meet the Airqualitree team, and learn more about what goes into a typical digital humanities project, such as the sources and analytical tools we used.
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