Development of a system for crowd sourced air quality mapping through loT technology | |
| Author | Ahmed, Masood |
| Call Number | AIT Thesis no.RS-17-01 |
| Subject(s) | Air quality Crowds IoT tecnology |
| Note | The requirements for the degree of Master of Science in Remote Sensing and Geographic Information Systems |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis;no. RS-17-01 |
| Abstract | The presence of harmful pollutants in the air adversely affects the health of people. It is therefore necessary to monitor the air quality to map air quality index . However, air quality measurement and monitoring require data of high spatial and temporal resolution to improve the models of air quality and estimates of individual exposure to potentially injurious pollutants . Currently, regional monitoring sites are used to map pollutants such as Ozone, CO 2 , NO 2 or PM . However, in many cases the use of data from such sites may not accurately reflect the pollut ants in the air owing to the air being monitored sparsely as a result they visualize only hotspot maps for air quality. However, the recent advances in electronics and telecommunication have resulted in noteworthy modern technology for sensing air quality pollutants. The integration of such sensing devices and smartphone can be used for mobile measurement and monitoring of the environment . This study proposes a system of crowdsourced sensing data of air quality which can be used to build improved model of air quality within the urban environment, such inventories of air quality pollutant monitors can be constructed with spatial resolution in the urban areas , in addition, the combination of smartphone devices with sensors will allow improved estimates of pollutants in the air . This proposed system in comparison with hotspot monitoring has an advantage of buffered hexagonal grids interpolated by aggregation method for visualizing air quality on the fly . This will assist the concerned individuals or organization in their decision making and will improve their ability to remotely sense pollutions, and consequently allow better comprehension of the effects of such pollutants. |
| Year | 2017 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis;no. RS-17-01 |
| Type | Thesis |
| School | School of Engineering and Technology |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Remote Sensing (RS) |
| Chairperson(s) | Sarawut Ninsawat |
| Examination Committee(s) | Tripathi, Nitin Kumar;Apichon Witayangkurn |
| Scholarship Donor(s) | AIT Fellowship |
| Degree | Thesis (M.Sc.) - Asian Institute of Technology, 2017 |