Abstract
Air pollution has become a major issue and caused widespread environmental and health problems. Aerosols or particulate matters are an important component of the atmosphere and can transport under complex meteorological conditions. Based on the data of PM 2.5 observations, we develop a network approach to study and quantify their spreading and diffusion patterns. We calculate cross-correlation functions of the time lag between sites within different seasons. The probability distribution of correlation changes with season. It is found that the probability distributions in four seasons can be scaled into one scaling function with averages and standard deviations of correlation. This seasonal scaling behavior indicates that there is the same mechanism behind correlations of PM 2.5 concentration in different seasons. Further, the weighted degrees reveal the strongest correlations of PM 2.5 concentration in winter and in the North China Plain for the positive correlation pattern that is mainly caused by the transport of PM 2.5. These directional degrees show net influences of PM 2.5 along Gobi and inner Mongolia, the North China Plain, Central China, and Yangtze River Delta. The negative correlation pattern could be related to the large-scale atmospheric waves.
| Original language | English |
|---|---|
| Article number | 58003 |
| Journal | EPL |
| Volume | 122 |
| Issue number | 5 |
| DOIs | |
| State | Published - Jun 2018 |
Bibliographical note
Publisher Copyright:© CopyrightEPLA, 2018.
Funding
We are grateful for the financial support by the Key Research Program of Frontier Sciences, CAS (Grant No. QYZD-SSW-SYS019) and the National Natural Science Foundation of China (Grant No. 61573173), the fellowship program of the Planning and Budgeting Committee of the Council for Higher Education of Israel, the Israel Ministry of Science and Technology (MOST) with the Italy Ministry of Foreign Affairs, MOST with the Japan Science and Technology Agency, the BSF-NSF foundation, the Israel Science Foundation, ONR and DTRA. YZ thanks the postdoctoral fellowship funded by the Kunming University of Sciences and Technology and DC thanks the China scholarship We are grateful for the financial support by the Key Research Program of Frontier Sciences, CAS (Grant No. QYZD-SSW-SYS019) and the National Natural Science Foundation of China (Grant No. 61573173), the fellowship program of the Planning and Budgeting Committee of the Council for Higher Education of Israel, the Israel Ministry of Science and Technology (MOST) with the Italy Ministry of Foreign Affairs, MOST with the Japan Science and Technology Agency, the BSF-NSF foundation, the Israel Science Foundation, ONR and DTRA.
| Funders | Funder number |
|---|---|
| BSF-NSF foundation | |
| Israel Ministry of Science and Technology | |
| Key Research Program of Frontier Sciences, CAS | |
| Kunming University of Sciences and Technology | |
| Office of Naval Research | |
| Defense Threat Reduction Agency | |
| National Natural Science Foundation of China | 61573173 |
| Japan Science and Technology Agency | |
| Chinese Academy of Sciences | QYZD-SSW-SYS019 |
| Ministry of Science and Technology of the People's Republic of China | |
| Israel Science Foundation | |
| Council for Higher Education | |
| Ministry for Foreign Affairs |