Spatial-Temporal pattern analysis and prediction of air quality in Taiwan

研究成果: Conference contribution

7 引文 斯高帕斯(Scopus)

摘要

This study explores the spatial-temporal patterns of particulate matter (PM) in Taiwan. Probability map of PM and daily patterns are discussed in this study. Data mining provides more detailed spatial-temporal information for PM variations and trends. The proposed model will show that data mining provides a relatively high goodness of fit and sufficient space-time explanatory power, particularly air pollution frequency and affect areas. In the proposed model, a method using Dynamic Time Warping is proposed to analyse temporal similarity between stations. The proposed model can eliminate global effect on a single station through the performance of multiple stations. The proposed model will further be used for prediction of PM2.5. The prediction results will discuss the spatial-temporal relations between stations. This study will investigate the distribution of PM and its cyclicality.

原文English
主出版物標題Ubi-Media 2017 - Proceedings of the 10th International Conference on Ubi-Media Computing and Workshops with the 4th International Workshop on Advanced E-Learning and the 1st International Workshop on Multimedia and IoT
主出版物子標題Networks, Systems and Applications
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781538627617
DOIs
出版狀態Published - 2017 10月 18
事件10th International Conference on Ubi-Media Computing and Workshops, Ubi-Media 2017 - Pattaya, Thailand
持續時間: 2017 8月 12017 8月 4

出版系列

名字Ubi-Media 2017 - Proceedings of the 10th International Conference on Ubi-Media Computing and Workshops with the 4th International Workshop on Advanced E-Learning and the 1st International Workshop on Multimedia and IoT: Networks, Systems and Applications

Other

Other10th International Conference on Ubi-Media Computing and Workshops, Ubi-Media 2017
國家/地區Thailand
城市Pattaya
期間17-08-0117-08-04

All Science Journal Classification (ASJC) codes

  • 電腦網路與通信
  • 硬體和架構
  • 媒體技術
  • 教育
  • 電腦科學應用

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