GIS在风暴潮灾害预报中的应用  

Application of GIS in the Storm Surge Disaster Forecasting

作　　者：李家贵 王瑞富[1,2] 曹红俊 赵少杰 段雅萍 

机构地区：[1]山东科技大学测绘科学与工程学院,山东青岛266510 [2]海岛(礁)测绘技术国家测绘地理信息局重点实验室,山东青岛266510

出　　处：《地理空间信息》2018年第3期23-25,共3页Geospatial Information

基　　金："全球变化与海气相互作用"专项任务资助项目(GASI-02-YG-BC01)

摘　　要：对风暴潮多源数据(流场、水位、海温、波浪、风场等预报要素)的可视化进行了研究。针对动力场数据(流场、波向、风场等)数据量大,密集程度高,若不根据其要素特点进行处理则显示效果差、效率低的问题,设计了均匀离散算法,横向上对显示要素添加显示范围控制,纵向上对显示要素添加比例标定控制,实现了海洋动力场数据在不同比例尺下的无级缩放。由于风暴潮数据多为长时间序列数据,为了能更好地反映风暴潮随时间的变化趋势,设计了多种不同方案,分别从不同角度实现了预报要素在一定时间序列范围内的动态可视化表达。The core of this paper was the visualization of the multi-source data of the storm surge. The multi-source data include the flow-field, water level, sea temperature, wave, wind-field and some other prediction factors. Firstly, the power field data such as the flow-field, wave direction and the wind-field had an intensive degree, so the display effect would be bad if it's not processed according to their characters. In view of this problem, a uniform discrete algorithm was designed in this paper. On one hand, it controlled the display range of the factors, on the other hand, it controlled the scale calibration. This algorithm was to give a display tactic which comforted people's eyes best, and made the power-field data to zoom under different scales. Secondly, because the storm surge data were almost longtime series data, several different schemes were designed in this paper to reflect the change trend of storm surge. These schemes achieved the dynamic visualization of the prediction factors in a range of time.

关 键 词：风暴潮 可视化 显示控制 动态表达 

分 类 号：P208[天文地球—地图制图学与地理信息工程]