基于 K-means 聚类的煤炭港区 TSP浓度变化 及影响因素分析.

In order to analyze the change characteristics and influencing factors of the total suspended particulate ( TSP)concentration in the atmosphere of coal port area, using the monitoring data of the typical coal port area in 2020, based on the K-means clustering method, the change characteristics of the TSP concentration in the port area were analyzed; combining with the characteristic parameters of meteorological environment in the port area, the correlation between TSP pollutant concentration changes and humidity and wind speed were analyzed. The results show that the overall TSP mass concentration in the port area has a positive and negative correlation with humidity and wind speed, respectively. The concentration daily change trend is "single peak and single valley" type, the peak and valley values arrive at 5： 00 -7： 00 and 17： 00 -18： 00respectively. Abnormal fluctuations are prone to occur in summer and winter. And it shows 6 different clustering characteristics of hourly variation patterns. The research results can provide theoretical support for the prevention and control of particulate pollution in coal port areas [ABSTRACT FROM AUTHOR]