Pražnikar Jure
Faculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, Glagoljaška 8, Koper, SI-6000, Slovenia.
Sci Rep. 2024 Nov 21;14(1):28821. doi: 10.1038/s41598-024-80365-7.
Present and future Köppen-Geiger climate maps and time series of particulate matter (PM10) at continental scale were used to investigate the relationship between spatial patterns of PM10 and climate zones. Five main patterns (spatial clusters) of PM10 were found over the European continent, which show a good spatial overlap with the main Köppen-Geiger climate zones. The map of future climate, which shows a poleward movement of the warmer climate zones, an expansion of the (semi-)arid zones and a shrinking of the polar and tundra zones, indicates a higher PM10 concentration, especially in the northern part of Europe. The results also show that there is a temporal shift (later/earlier) of PM10 extremes in the period 2013-2022. This insight into the relationship between climate zones and clustered PM10 time series and the use of high-quality future climate maps based on different scenarios can be used to estimate possible changes, such as annual averages or seasonal cycles, in PM10 concentrations.
利用当前和未来大陆尺度的柯本-盖格气候图以及颗粒物(PM10)时间序列,研究PM10空间格局与气候带之间的关系。在欧洲大陆发现了PM10的五种主要格局(空间聚类),它们与主要的柯本-盖格气候带在空间上有很好的重叠。未来气候图显示温暖气候带向极地移动、(半)干旱带扩张以及极地和苔原带收缩,这表明PM10浓度较高,尤其是在欧洲北部。结果还表明,2013 - 2022年期间PM10极值存在时间上的偏移(更晚/更早)。这种对气候带与聚类PM10时间序列之间关系的洞察以及基于不同情景的高质量未来气候图的使用,可用于估计PM10浓度可能的变化,如年平均值或季节周期。