Extreme heat events are a growing cause for concern in the realm of public health, as we learn more about the impacts of climate change and global warming. Extreme Heat Events (EHEs) include high-heat days and rising temperatures that are abnormal for a region. Extreme heat events are on the rise, which poses a disproportionate impact on vulnerable communities that are greater exposed, more sensitive to, and less able to adapt to heat (Bradford et al. 2015). Determinants of health, like race and socioeconomic status, amplify the risk of an individual living in an area with less shade, more paved surfaces, and higher temperatures. (Gabbe et al. 2023). Therefore, heat vulnerable communities have often been identified as being low-income, unhoused individuals, elderly populations, outdoor laborers, and disabled people (Li et al. 2015). Santa Clara County is particularly at risk for greater extreme heat events, as it is a major urban center that experiences the urban heat island effect. Given that extreme heat projections are expected to increase, it is important to incorporate risk management to assess current and potential climate mitigation and adaptation strategies.
One climate mitigation strategy is the use and implementation of urban green spaces within high-density urban areas. My project builds on this previous work by looking at extreme heat and tree canopy coverage concerning school-aged children elementary school system locations across Santa Clara County. This is an important topic to discover because young-aged populations can potentially be at higher risk for heat exhaustion or heat-related illnesses. Research notes that, people who perform outdoor activities are more vulnerable to heat-related illness because they are exposed to high heat for longer episodes of time (Park et al. 2017). Despite playgrounds and parks having structures that create shade, the shade provided during different times in the day can greatly reduce the amount of shade available (Downs et al. 2022). For young students, those at outdoor PE, recess, or sports practice may be at risk of experiencing a heat-related illness during hotter seasons. Another reason to understand the heat risk of school-age children, particularly public school children, is because of how social determinants of health can play a role in their vulnerability to EHEs. In public elementary schools, green spaces like school gardens are less prevalent in the less well-off and more ethnically diverse communities of Santa Clara County (Stewart et al. 2013). In other words, students that are from less privileged neighborhoods, or who recieved free or reduced price lunch have less access to green space, which may increase their risk and vulnerability to extreme heat events. By assessing the extreme heat risk for youth, we have the opportunity to improve mitigation and resilience strategies for our future generations, like increasing tree canopy.
EHE_map
To put in perspective why it is important to address how Santa Clara will be impacted by extreme heat events, let’s take a look at future projections. By the year 2064, there will a heightened increase in the amount of extreme heat days experienced per year within the county of Santa Clara. Across the entire county, there will be a minimum increase of 10 more extreme heat days per year. However, results show that the increase in extreme heat is not the same across county tracts. The tracts that will face the most extreme heat events in the future are more southward in the county. There is a noticeable pattern in the proportion of extreme heat events increasing as one moved southwards on the map.However, evidence also shows that certain tracts outside of south county will also be disproportionately impacted more by heat waves, such as East Side San Jose.
School_Demo
Given that extreme heat events will increase over time, I decided to analyze one specific population that will be impacted by heat exposure, yet is understudied: households with school-aged children. Within this, I analyzed three variables on a household level: economics (living in poverty), poverty (proportion of poverty) disability (disabled persons). Looking at these three variables was insightful, as (1) disabled folks and people living in poverty are more vulnerable to extreme heat events and their effects. Looking at the economics and poverty variables, the tracts that stuck out were in Morgan Hill, Gilroy, East Side San Jose, and parts of North and South San Jose. Looking at disability, a greater population of disabled people resides in Gilroy, South San Jose, East San Jose, and a section of Saratoga.
print(Youth_Canopy)
######FIGURE 4: R= -19, p=0.01; There is strong evidence to support
an inverse relationship between Youth and the amount of Tree Canopy in
an area
Considering the spatial locations of public schools, along with the household demographics for school-age children, are important factors for assessing populations at risk of extreme heat. Another important aspect when assessing extreme heat is resilience, in terms of green space and tree canopy. Since trees are reported to reduce temperatures by increasing shade, tree canopy is a relevant factor. In this Figure, the proportion of school-aged youth per county tract is plotted against the percentage of tree canopy. Results indicate there is a slight inverse relationship between the amount of youth and the amount of tree canopy in a given tract area. In other words, SCC tracts that have higher populations of children also happen to have less tree canopy, compared to tracts with smaller populations of children.
Vuln_Map
Integrating the findings of FIGURE 4 together, the data was synthesized into a final map to be more concise. This final map shows the spatial relationship between school-aged youth and the percent of tree canopy for Santa Clara County. Focusing solely on tree canopy, areas that have the least amount are found in Morgan Hill, Gilroy, and East Side San Jose. Furthermore, there is a notable inverse relationship between tree canopy and the youth population and amount of public schools in the area. In areas where tree canopy is lower, there are also more public schools. Notable examples include East Side San Jose, Morgan Hill, and Gilroy.
The spatial and statistical analysis conducted in this report is preliminary research in extreme heat, as there is little literature on this public health topic so far. Despite this, novel findings point to the areas of Gilroy, Morgan Hill, and East Side San Jose as being the most vulnerable to extreme heat events within Santa Clara County. This provides a strong basis for future research on the populations of these regions, to be put at the forefront of climate equity resilience strategies. The particular focus on school-aged children is also relatively new, and adds new findings to the study of extreme heat mitigation for Santa Clara County. The major takeaway for this demographic was that areas that had higher proportions of school-aged children happened to have less tree canopy coverage. Moving forward, it would be of interest to investigate tree canopy as a method of green space. By focusing on green space, the research can shift towards mitigation and resilience in the communities that are most vulnerable to extreme heat events, making them priority groups. Furthermore, it is of interest to determine whether or not that green space and tree canopy is accessible to the public–keeping in mind the climate priority populations.
Access the Rscript used for this project Here!
Bradford, K., et al. (2015). A heat vulnerability index and adaptation solutions for Pittsburgh, Pennsylvania. Environmental Science & Technology. https://doi.org/10.1021/acs.est.5b03127
Downs, N., et al. (2022).The Playground Shade Index: A New Design Metric for Measuring Shade and Seasonal Ultraviolet Protection Characteristics of Parks and Playgrounds. Photochemistry & Photobiology. https://onlinelibrary.wiley.com/doi/10.1111/php.13745
Gabbe, C. J., & Pierce, G. (2020). Extreme heat vulnerability of subsidized housing residents in California. Housing Policy Debate. https://doi.org/10.1080/10511482.2020.1768574
Li, M., et al. (2015). Heat waves and morbidity: Current knowledge and further direction-A comprehensive literature review. International Journal of Environmental Research and Public Health. https://doi.org/10.3390/ijerph120505256
Park, J., et al. (2017). Factors affecting heat-related diseases in outdoor workers exposed to extreme heat. Ann of Occup and Environ Med. https://doi.org/10.1186/s40557-017-0183-y
Stewart, I., et al. (2013). Socioeconomic Disparities in the Provision of School Gardens in Santa Clara County, California. Children, Youth & Environments. https://www.jstor.org/stable/10.7721/chilyoutenvi.23.2.0127?casa_token=ervXKbPmPRQAAAAA%3AdbTkQ7bizemyqVoF7QkwxETzTomxlptmy4Q3qdxWfq31cpKCBa3Wylj3UhAll4_AFm2lQ_5snIyQi2vBRzdRiJ4E6Lj1dVzZGd0NjM607N5W3KhKbATLMA&seq=1