City Environment pulsation research based on Spatial-temporal Data Mining-Air quality as an example

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/).

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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  -