| dc.contributor.advisor | George Barbastathis. | en_US |
| dc.contributor.author | Zhao, Nilu | en_US |
| dc.contributor.other | Massachusetts Institute of Technology. Department of Mechanical Engineering. | en_US |
| dc.date.accessioned | 2014-12-08T18:57:07Z | |
| dc.date.available | 2014-12-08T18:57:07Z | |
| dc.date.copyright | 2014 | en_US |
| dc.date.issued | 2014 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1721.1/92216 | |
| dc.description | Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2014. | en_US |
| dc.description | Cataloged from PDF version of thesis. | en_US |
| dc.description | Includes bibliographical references (page 28). | en_US |
| dc.description.abstract | In the recent years, Singapore has been affected by haze caused by slash-and-bum fires in Indonesia. Currently, haze concentration is measured by filtering air samples at various stations in Singapore. In this thesis, optical approaches to haze measurements are explored. Images of haze were taken in fifteen minute intervals in June, 2013. These images were analyzed to obtain image contrast, and power spectral density functions. The power spectral density functions were characterized by maximum power, full width at half maximum, second and third moments, and exponential fit. Out of these methods, contrast and exponential fit results showed trend to the Pollutant Standards Index (PSI) values provided by the National Environmental Agency (NEA). Further studies on mapping contrast to PSI values are recommended. | en_US |
| dc.description.statementofresponsibility | by Nilu Zhao. | en_US |
| dc.format.extent | 28 pages | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Massachusetts Institute of Technology | en_US |
| dc.rights | M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. | en_US |
| dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | en_US |
| dc.subject | Mechanical Engineering. | en_US |
| dc.title | Haze measurements through image analysis | en_US |
| dc.type | Thesis | en_US |
| dc.description.degree | S.B. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Mechanical Engineering | |
| dc.identifier.oclc | 897467986 | en_US |
