Urban Heat Islands and its Risk in San Diego, CA

Identifying Drivers of Extreme Urban Heat and Assessing Vulnerability in Urban Planning

Introduction

San Diego, CA

The City of San Diego, located at the southern end of the California coast, is home to 1.4 million people, making it the second-largest city in California as well as the eighth largest in the United States. While San Diego is located in a Mediterranean climate (Köppen climate classification Csa), it is only slightly less arid then a desert receiving just over 10 inches of precipitation a year.

Like many urban areas, San Diego is facing the effects of climate change. While the annual mean temperature is only 63° F (17° C), the city is still subject to extreme heat events (EHE) with temperatures exceeding 104 °F (40° C), particularly in late summer. Furthermore, climate projection models indicate that coastal areas like San Diego can expect 2-3°C (3.5-5.5° F) increases in temperature by mid-century which would expose an additional 1-2 million people to heat waves (Vahmani et al., 2019).

Urban Heat Islands

Heat Island Effect

Rising temperatures from climate change further exacerbates the urban heat island effect. The heat island effect is where urban regions are significantly warmer than the surrounding undeveloped areas. Land surface temperature is a common way to measure the magnitude of urban heat islands remotely since it provides an approximation for the air temperature. Urban heat islands are caused by many factors such as urban infrastructure, lack of green space, human activity, etc. (US EPA, 2014). Click on the shapes on the image to learn more.

Image Credit: City of San Diego

One might think that when the sun goes down that the heat island effect would disappear. However, nighttime is actually when urban heat islands are most prominent. While surrounding areas cool down, impervious surfaces, such as buildings and concrete, release the solar heat they absorbed during the day. High temperatures maintained at night impede the ability for residents to recover from the day's heat causing increased health impacts.

Health Hazard

Urban Heat is a public health hazard that impacts all cities regardless of climate, development level, and jurisdiction. Excess urban heat exacerbated by extreme heat events has become the leading cause of weather-related deaths, outpacing both floods and wildfires (Weinberger et al., 2017). Outside of mortality, urban heat can cause heat-related illness including heatstroke, exhaustion, and amplified respiratory and cardiovascular issues as well as driving up energy costs (Wald, 2019). 

Climate Adaptation

As the adverse effects on health, productivity, and energy use increase with rising temperatures, the City of San Diego and other municipalities are pursuing ways to decrease the urban heat island effect. Information on heat exposure, vulnerability, and the existing cooling capacity of the landscape is critical for enabling policy makers to make informed and effective decisions to benefit urban populations.

NASA DEVELOP

To better address Urban Heat Island (UHI), the City of San Diego partnered with NASA DEVELOP. NASA DEVELOP is a part of NASA's Applied Sciences Capacity Building Program with the objective of empowering participants to gain remote sensing knowledge while delivering insightful data and products to partners. DEVELOP participants carry out 10-week interdisciplinary research projects using NASA Earth observations to address community concerns.

The NASA DEVELOP Spring 2021 San Diego Urban Development team was based out of the Tempe, Arizona node. The team consisted of four members whose expertise include, but are not limited to, urban heat islands, environmental engineering, remote sensing, environmental science, and programming.

Investigation

While overall urban regions experience higher temperatures than its surrounding areas, there are also heat disparities within the city. Remote sensing data can help reveal these heat disparities through the collection of surface parameters such as land surface temperature, albedo and evapotranspiration. The NASA DEVELOP team used the following NASA Earth observations:

  • Landsat 8 Operational Land Imager/Thermal Infrared Sensor (OLI)
  • International Space Station's ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS)

Landsat 8 OLI/TIS; Credit: NASA

ISS ECOSTRESS; Credit: NASA/JPL CalTech

Mapping Heat Risk

Heat Map distribution during the day (left) and the night (right) for the months of May to September from 2015-2020. The daytime heat map uses land surface temperature that was captured with Landsat 8 OLI/TIS. The nighttime heat map's land surface temperature was captured with ISS ECOSTRESS. Darker orange indicates regions that are hotter while lighter orange regions are not as hot.

Heat Exposure

Using satellite imagery from Landsat 8 Surface Reflectance Tier 1 image collection, the team measured heat exposure in the summers of 2015 to 2020 for the City of San Diego and found the average temperature for each census tract. Because factors such as trees, geography, and buildings influence land surface temperature, heat exposure is not the same throughout the city.

A region that had high heat exposure includes the communities of Mid Cities, Eastern Area, and College Area. These regions are further away from the ocean and so people living in these regions do not receive the cooling effects that people who live closer to the coast do. These regions also have high impervious surfaces and low tree canopy, one reason being that the regions include Interstate 805 and Interstate 15.

Vulnerability

Just like how heat exposure varies throughout the city, so does vulnerability to heat. Older populations that live alone, people with pre-existing health conditions, and less education attainment are more socially vulnerable to heat exposure (Cooley, 2012). Regions that have high heat risk tend to have lower life expectancy rates and more chronic illnesses (Kerlin, 2019). To the right, is the vulnerability map that takes social and health indicators into consideration. Census tracts that are a darker orange are more vulnerable to extreme heat than census tracts that are lighter.

Heat Risk

Combining both heat exposure and vulnerability results in heat risk. This map shows the census tracts that are most at risk to urban heat impacts. Values are normalized to a range of 0 to 1. Regions with higher scores have higher risk. The census tracts that are deep red fall in the 80th to 100th percentile of heat risk.

One region with high heat risk are the census tracts in the San Ysidro community. These areas have high populations of people with health conditions such as heart disease and diabetes and high heat exposure compared to other areas.

Many of the census tracts that had high heat risk are the same communities of Mid Cities, Eastern Area, and College Area that had high heat exposure. These regions had high populations with health conditions along with other factors such as absence of health insurance, people of color, and people over the age of 65. As seen in the heat exposure map, these census tracts were in the 80th to 100th percentile of high heat.

Cooling San Diego

Summary of Heat Risk

This study demonstrates the City of San Diego has higher temperatures than areas of undisturbed landscape. While the urban heat island is present in the city as a whole, the magnitude varies within the city. Identifying these areas and the driving factors behind the heat risk present is key to effectively addressing the impacts of urban heat island.

Natural Capital Project: InVEST Urban Cooling Model

The Urban Cooling Model, created by Stanford University's Natural Capital Project, models urban heat mitigation by taking into account the physical characteristics of the land, and the cooling effect of green spaces. The model is based on land use land cover classifications and the associated parameters.

NAIP USGS

Daytime Heat Mitigation Index

The output from the model produces a Heat Mitigation Index that represents the cooling capacity of the land. Daytime Heat Mitigation Index considers shade, albedo, and evapotranspiration, values that are dependent on land use. In addition, the model considers cooling from greenspaces such as parks and natural open spaces. This map illustrates how San Diego's extreme heat is mitigated unevenly across neighborhoods. Dark blue areas are areas of high heat mitigation while light blue areas indicate areas of low heat mitigation.

Low Heat Mitigation

A low heat mitigation index often occurs in areas of high-medium density development that are far from greenspaces. Low heat mitigation means that it is harder to cool the area. These areas are often bounded or crossed by freeways or adjacent to industrial areas. Four areas in San Diego were identified as having low heat mitigation index: Mira Mesa, Southeastern San Diego, Barrio Logan, and San Ysidro. Explore the map on the right to observe these areas.

High Heat Mitigation

A high heat mitigation index means it is easier to cool the area. The Torrey Pines area ranked high in heat mitigation. These census tracts include two nature preserves, trail heads, and parks. As seen by this map, the presence of natural landscapes contributes to heat mitigation.

Nighttime Heat Mitigation Index

At nighttime, the primary driver of urban heat island is the release of heat from buildings. Nighttime heat mitigation index is determined by building intensity, a ratio of floor area to overall land area. An area with high building intensity will have a low heat mitigation index since there is more building material to give off heat. In the image on the right, areas of low nighttime heat mitigation are yellow while natural areas with high heat mitigation are blue.

Nighttime Heat Mitigation

Daytime and nighttime heat mitigation are driven by different factors so areas at risk during the day differ from those that have low heat mitigation at night because areas with high heat during the day may not have high building intensity and thus does not have heat being emitted from buildings during the night. These areas include, but are not limited to University, Pacific Beach, and North Park. Explore the map to the right to learn more. Dark blue areas represent high heat mitigation and low levels of development. Light blue areas represent a low heat mitigation and a high level of development.

Modeling Increased Tree Canopy

While the dry climate of San Diego presents many challenges to increasing tree canopy, there are opportunities in areas with irrigation. These areas include alongside roads, public spaces such as parks and schools, and partnerships with non-profit organizations that facilitate increasing tree canopy. The images on the right shows the difference in heat mitigation when a 5% increase of tree canopy is applied to the categories mentioned above. The left image is the daytime heat mitigation while the image to the right is nighttime heat mitigation. Green represents high heat mitigation, yellow represents moderate heat mitigation, and red represents low heat mitigation.

Climate Resilient SD

The City of San Diego is working on developing Climate Resilient SD, a comprehensive climate adaptation and resiliency plan, to create a San Diego that is adaptable to the effects of climate change (The City of San Diego, 2021). The plan will include a suite of adaptation strategies to address climate impacts, such as urban heat island. This study will help to inform the implementation of strategies to choose locations with higher heat risk and vulnerability and to identify priority areas for cooling interventions. Click on the link below to learn more about Climate Resilient SD.

Credits and References

Derek Story. East Village, San Diego, United States. Unsplash. Retrieved from  https://unsplash.com/photos/fSRZ-LlN7vg 

The rest of the pictures were provided by the City of San Diego. Permission to use.

Cooley, H., Moore, E., Heberger, M., & Allen, L. (2012). Social Vulnerability to Climate Change in California (CEC-500-2012-013; p. 75). California Energy Commission.  https://pacinst.org/wp-content/uploads/2012/07/social-vulnerability-climate-change-ca.pdf 

InVEST | Natural Capital Project. (n.d.). Retrieved September 29, 2020, from  https://naturalcapitalproject.stanford.edu/software/invest 

Kerlin, K. (2019, October 3). Becoming Arizona: Lessons from Phoenix. Science and Climate.  https://climatechange.ucdavis.edu/news/becoming-arizona-lessons-from-phoenix/ 

Taha, H. (2017). Characterization of urban heat and exacerbation: Development of a heat island index for California. Climate, 5(3), 59. 

The City of San Diego. (2021). Sustainability: Resiliency.  https://www.sandiego.gov/sustainability/resilience   

US EPA, O. (2014, February 28). Heat Island Effect [Collections and Lists]. US EPA.  https://www.epa.gov/heatislands  

Vahmani, P., Jones, A. D., & Patricola, C. M. (2019). Interacting implications of climate change, population dynamics, and urban heat mitigation for future exposure to heat extremes. Environmental Research Letters, 14(8), 084051. 10.1088/1748-9326/ab28b0 

Wald, A. Emergency Department Visits and Costs for Heat-Related Illness Due to Extreme Heat or Heat Waves in the United States: An Integrated Review. Nurs. Econ. 2019, 37, 35. 

Weinberger, K. R., Haykin, L., Eliot, M. N., Schwartz, J. D., Gasparrini, A., & Wellenius, G. A. (2017). Projected temperature-related deaths in ten large US metropolitan areas under different climate change scenarios. Environment international, 107, 196-204. 

This material is based upon work supported by NASA through contract NNL16AA05C.

Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Aeronautics and Space Administration (NASA).

NPR 2200.2C D.6.4.1: Trade names and trademarks are used in this report for identification only. Their usage does not constitute an official endorsement, either expressed or implied, by the National Aeronautics and Space Administration.

Acknowledgements

Julia Chase

City of San Diego, Planning Department, Senior Planner

Jordan Moore

City of San Diego, Planning Department, Associate Environmental Planner

Heidi Vonblum

City of San Diego, Planning Department, Deputy Director

Mike Klein

City of San Diego, GIS Analyst

Kristen O’Shea

American Geophysical Union, Thriving Earth Exchange, Community Science Fellow  

Ryan Hammock

NASA DEVELOP, Fellow

Dr. Kenton Ross

NASA Langley Research Center, Science Advisor

Dr. David Hondula 

Arizona State University, Science Advisor

Heat Map distribution during the day (left) and the night (right) for the months of May to September from 2015-2020. The daytime heat map uses land surface temperature that was captured with Landsat 8 OLI/TIS. The nighttime heat map's land surface temperature was captured with ISS ECOSTRESS. Darker orange indicates regions that are hotter while lighter orange regions are not as hot.

Landsat 8 OLI/TIS; Credit: NASA

ISS ECOSTRESS; Credit: NASA/JPL CalTech