Temporal Patterns in Fine Particulate Matter Time Series in Beijing: A Calendar View

• DOI: 10.1038/srep32221
• Publication Date: 2016-08-26T09:49:02Z
• Authors: Jianzheng Liu; Jie Li; Weifeng Li
• Keywords: Temporal database

Abstract Extremely high fine particulate matter (PM 2.5 ) concentration has become synonymous to Beijing, the capital of China, posing critical challenges its sustainable development and leading major public health concerns. In order formulate mitigation measures policies, knowledge on PM variation patterns should be obtained. While previous studies are limited either because availability data, or problematic a priori assumptions that follows subjective seasonal, monthly, weekly patterns, our study aims reveal data daily basis through visualization rather than imposing periodic upon data. To achieve this, we conduct two time-series cluster analyses full-year in Beijing 2014 provide an innovative calendar measurements throughout year. Insights from analysis temporal show there three diurnal no patterns; seasonal exist but they do not follow strict division. These findings advance current understanding offer different perspective which can help with policy formulation mitigation.