This interactive resource provides students with 3D maps, data, and informational text about toxic air pollution in London.
Students will learn about nitrogen dioxide (NO2) pollution, observe maps and data showing when and where this pollution is emitted, and read about ways of mitigating exposure to (or reducing the emissions of) toxic air pollution.
This resource highlights the importance of widespread data collection, which can empower communities to better understand the problems they encounter and find the most effective solutions to those problems.
Students should be familiar with reading maps, Google Street View, and 3D graphs.
Wireless internet or slow internet connections may take longer to load.
Cross-curricular connections could be made with social studies classes when discussing the effects of urban planning, the number of trees in urban areas, and the amount of traffic near schools and parks in various communities.
Biology and geography courses could explore the prevalence of asthma, COPD, or other respiratory conditions and their geographic proximity to sources of pollution.
The resource presents air pollution data from NO2 emissions. Suitable for students to explore and deepen their knowledge in navigating the concentration of NO2 in urban areas. Recommended for teaching.
Next Generation Science Standards (NGSS)
ESS3: Earth and Human Activity
MS-ESS3-3 Apply scientific principles to design a method for monitoring and minimizing a human impact on the environment.
College, Career, and Civic Life (C3) Standards
Dimension 2: Geography
D2.Geo.12.6-8 Explain how global changes in population distribution patterns affect changes in land use in particular places.
D2.Geo.2.3-5 Use maps, satellite images, photographs, and other representations to explain relationships between the locations of places and regions and their environmental characteristics.
Common Core Math Standards (CCSS.MATH)
Statistics & Probability: Making Inferences & Justifying Conclusions (9-12)
CCSS.MATH.CONTENT.HSS.IC.B.6 Evaluate reports based on data.