City Environment pulsation research based on Spatial-temporal Data Mining-Air quality as an example
Authors
Xiang Li, Ling Peng, Tianhe Chi, Jing Shao, Shaolong Cui
Corresponding Author
Xiang Li
Available Online July 2015.
- DOI
- 10.2991/icaees-15.2015.74How to use a DOI?
- Keywords
- Spatial-temporal Data Mining; Air Quality; Pulsation; Remote Sensing.
- Abstract
Recent years, with our economy sustained and fast development, environmental problems become increasing serious, especially for air pollution problems. Smog problems are intruding more and more big cities. Improving air quality has become an urgent demand of city development. This paper proposed a spatial-temporal data mining based city air quality pulsation analysis method. By introducing remote sensing data source and integrating several spatial-temporal data mining me-thods, we conducted a deep research about city air quality pulsing features.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xiang Li AU - Ling Peng AU - Tianhe Chi AU - Jing Shao AU - Shaolong Cui PY - 2015/07 DA - 2015/07 TI - City Environment pulsation research based on Spatial-temporal Data Mining-Air quality as an example BT - Proceedings of the 3rd International Conference on Advances in Energy and Environmental Science 2015 PB - Atlantis Press SP - 395 EP - 402 SN - 2352-5401 UR - https://doi.org/10.2991/icaees-15.2015.74 DO - 10.2991/icaees-15.2015.74 ID - Li2015/07 ER -