基于GIS的核密度分析方法在海上浮标平台选址中的应用研究  

Application of GIS-based kernel density estimation in location selection of offshore buoy platforms

作　　者：韩玉祥 陈亮[1] HAN Yuxiang;CHEN Liang(Merchant Marine College,Shanghai Maritime University,Shanghai 201306,China)

机构地区：[1]上海海事大学商船学院,上海201306

出　　处：《中国航海》2023年第3期59-64,71,共7页Navigation of China

摘　　要：为有效掌握海上浮标平台在选址过程中对海上交通流的影响,优化选址方案,提出一种利用船舶自动识别系统(Automatic Identification System,AIS)数据基于地理信息系统(Geographic Information System,GIS)核密度分析的海上浮标平台选址分析方法。通过建立海上交通流的核密度模型,形成选址水域的船舶交通流核密度估计(Kernel Density Estimation,KDE),得到交通流的特征。设置核密度值范围与相对应的颜色,完成核密度值的图像显示。对得到的各月份核密度图进行处理,用以确定浮标平台的备选范围。结合选址水域通航环境的分析,为海上浮标平台的选址提供建议。实例分析表明,基于GIS的核密度分析方法能较好地为海上浮标平台选址提供参考依据。AIS(Automatic Identification System)data is used to improve the location selection of offshore buoy platforms through introduction of a CIS(Geographic Information System)-based kernel density estimation algorithm.A kernel density model of marine traffic flow is built to calculate the traffic density in candidate water areas and find the characteristics of the traffic flow in each area.The trafic flow is graded on density basis and displayed in different colors.The traffic density map of every candidate location is processed on monthly basis and the suitable buoy locations are picked up.Final location selection suggestion is made after examining the navigational environment of these locations.The effectiveness of the algorithm is demonstrated through a practical engineering case.

关 键 词：核密度 地理信息系统 船舶自动识别系统 船舶交通流 选址 

分 类 号：U656.6[交通运输工程—港口、海岸及近海工程]