Students act as environmental engineers to solve a problem using carbon dioxide (CO2) emissions from cars and wildfires. Wildfires are a timely topic because every year they cause people in many areas to face poor air quality. Students use Microsoft Excel to investigate CO2 emitted from two sources: highway traffic and forest fires. They estimate and graph the CO2 emitted by forest fires and from U.S. highway driving annually from 2004 to 2021. After they analyze these two pieces of data, they analyze a specific fire and evacuation that happened in Saratoga Springs in June 2020, named the Knolls Fire. Finally, using the Excel data and the Knolls Fire data, students decide whether the U.S. should spend money on reducing the number and severity of wildfires, or on reducing CO2 emissions from driving cars. The students design and create a poster based on their decision and present it to the class.
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Population Change in Wildfire-Affected Areas in the United States: Evidence from U.S. Postal Service Residential Address Data
We examine the utility of data on active and vacant residential addresses to inform local and timely monitoring and assessments of how areas impacted by wildfires and extreme weather events more broadly lose (or not) and subsequently recover (or not) their populations. Provided by the U.S. Postal Service to the U.S. Department of Housing and Urban Development and other users, these data are an underutilized and potentially valuable tool to study population change in disasteraffected areas for at least three reasons. First, as they are aggregated to the ZIP + 4 level, they permit highly local portraits of residential and, indirectly, of population change. Second, they are tabulated on a quarterly basis starting in 2010 through the most recent quarter, thereby allowing for timely assessments than other data sources. Third, one mechanism of population change—namely, underlying changes in residential occupancies and vacancies—is explicit in the data. Our findings show that these data are sufficient for detecting signals of residential and, indirectly, of population change during and after particularly damaging wildfires; however, there is also noticeable variation across cases that requires further investigations into, for example, the guidance the U.S. Postal Services provides its postal offices and carriers to classify addresses as vacant.
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- Award ID(s):
- 2117405
- PAR ID:
- 10533629
- Publisher / Repository:
- Springer
- Date Published:
- Journal Name:
- Population Research and Policy Review
- Volume:
- 43
- Issue:
- 4
- ISSN:
- 0167-5923
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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