【摘要】 实现对港区扬尘中PM_2.5和TSP（Total Suspended Particulate）等颗粒物的检测是港口开展抑尘工作的关键依据。文章选取镇江港煤炭港区6个点位,利用无人机载检测平台完成数据采集,分析得到了港区内不同区域的PM_2.5和TSP分布特征,运用聚类分析法对各个点位的检测数据依据高度进行分类,并利用层次分析法和灰色关联分析法对聚类后的结果进行量化分析,得到垂向的最优、最劣点位。结论表明:该港区处于作业状态下的堆场区域上方95 m左右空间是需要重点监测的最劣点位;位于作业区下风向的堆场区域内随着与作业区域水平距离的增加,最劣点的高度不断降低,监测重点为堆场上方70～90 m高度处。更多还原

【Abstract】 The key basis of the dust suppression in the port area is to realize the detection of PM_2.5 and TSP （total suspended particle）.Six points of Zhenjiang coal port are selected,and the UAV detection platform is used to complete the data collection.The PM_2.5 and TSP distribution characteristics of different areas in the port are analyzed.The detection data of each point are classified according to the height by the cluster analysis,and the results are quantified by AHP and the gray correlation analysis.The best and worst point position in vertical direction is obtained.The conclusion shows that the worst point is about 95m above the yard area under operation and should be monitored.The height of the worst point decreases with the increase of the horizontal distance between the yard area and the operation area in the downwind direction.Hence the key monitoring area is above the yard with the height of 70～90 m.更多还原