An exercise in selecting low-cost air quality sensor placements within an urban environment
Thesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, Technology and Policy Program, February, 2021
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2021
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| Online Access: | https://hdl.handle.net/1721.1/130793 |
| _version_ | 1826200414380359680 |
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| author | Boghozian, Adrianna J.(Adrianna Judith) |
| author2 | Youssef Marzouk and Stefanie Jegelka. |
| author_facet | Youssef Marzouk and Stefanie Jegelka. Boghozian, Adrianna J.(Adrianna Judith) |
| author_sort | Boghozian, Adrianna J.(Adrianna Judith) |
| collection | MIT |
| description | Thesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, Technology and Policy Program, February, 2021 |
| first_indexed | 2024-09-23T11:36:02Z |
| format | Thesis |
| id | mit-1721.1/130793 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T11:36:02Z |
| publishDate | 2021 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1307932022-01-31T18:54:14Z An exercise in selecting low-cost air quality sensor placements within an urban environment Boghozian, Adrianna J.(Adrianna Judith) Youssef Marzouk and Stefanie Jegelka. Massachusetts Institute of Technology. Institute for Data, Systems, and Society. Technology and Policy Program. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Institute for Data, Systems, and Society Technology and Policy Program Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Engineering Systems Division Institute for Data, Systems, and Society. Technology and Policy Program. Electrical Engineering and Computer Science. Thesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, Technology and Policy Program, February, 2021 Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, February, 2021 Cataloged from the official PDF of thesis. Includes bibliographical references (pages 69-75). Air pollution poses the most important environmental health risk to citizens of major cities all over the world. The high cost of current monitoring programs means that enforcement of current regulation, such as the United States Environmental Protection Agency's ambient air quality standards, can be lacking at the individual level. Because of their low cost, sensor networks offer the benefit of providing detailed, high resolution pollutant exposure maps which can inform a number of community and government initiatives aimed at tackling air pollution. The question then arises, what is the optimal configuration of low-cost sensors to measure air pollution within an urban environment? Due to the large number of potential locations in which to measure data, there are difficulties in defining where to place a limited number of sensors. This thesis outlines a proven decision method from spatial statistics: optimal experimental design, and applies the method to a test case in the city of London. by Adrianna J. Boghozian. S.M. in Technology and Policy S.M. S.M.inTechnologyandPolicy Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, Technology and Policy Program S.M. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science 2021-05-24T20:24:03Z 2021-05-24T20:24:03Z 2021 2021 Thesis https://hdl.handle.net/1721.1/130793 1252064693 eng MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided. http://dspace.mit.edu/handle/1721.1/7582 75 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Institute for Data, Systems, and Society. Technology and Policy Program. Electrical Engineering and Computer Science. Boghozian, Adrianna J.(Adrianna Judith) An exercise in selecting low-cost air quality sensor placements within an urban environment |
| title | An exercise in selecting low-cost air quality sensor placements within an urban environment |
| title_full | An exercise in selecting low-cost air quality sensor placements within an urban environment |
| title_fullStr | An exercise in selecting low-cost air quality sensor placements within an urban environment |
| title_full_unstemmed | An exercise in selecting low-cost air quality sensor placements within an urban environment |
| title_short | An exercise in selecting low-cost air quality sensor placements within an urban environment |
| title_sort | exercise in selecting low cost air quality sensor placements within an urban environment |
| topic | Institute for Data, Systems, and Society. Technology and Policy Program. Electrical Engineering and Computer Science. |
| url | https://hdl.handle.net/1721.1/130793 |
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