北京市空气质量数据仓库的设计与实现

为有效管理和充分利用不断积累的北京市空气质量监测数据,为首都大气质量管理与评价、空气污染防治决策、产业规划和布局等决策分析提供依据,本文以2000年至2007年全市28个监测点的观测数据为数据源,利用Oracle 10g和ArcGIS9.0设计和实现了北京市空气质量数据仓库原型系统。详细介绍了采用星型模型对数据仓库的逻辑设计,以及提高查询性能的各种技术的应用。并将Web、GIS和OLAP三项技术结合起来,开发了一个Web Spatial OLAP系统,使用户能够从多个时间尺度和空间尺度、时间-空间-属性多个维度,利用地图、表格和图形多种显示模式,对全市多年的空气质量信息进行快速查询、分析、统计制图和空间可视化表达。

Design and implementation of data warehouse for Beijing air quality data

This paper designs and implements an air quality data warehouse prototype system with Oracle 10g and ArcGIS 9.0 to manage and utilize effectively accumulating monitor data of air quality in Beijing and provide decision-making support for air quality management,air pollution control and industry layout.The source data is the monitor data of 28 monitor stations from the year of 2000 to 2007 in Beijing.First,we model the data warehouse as a star scheme and present many technologies to improve query performance in detail.Then,we use web,GIS and OLAP to develop a web spatial OLAP system,which can help users to query,analyze air quality information from different aspects,such as multi-temporal or multi-spatial scales,multi-temporal-spatial-attribute dimensions,and vis- ually show it with many modes,for example,maps,tables,and graphs,etc.