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Application of OGC Specifications to Air Quality Information Systems
Center for Air Pollution Impact and Trend Analysis (CAPITA) Washington University in St. Louis
Air Quality Data:Multi-dimensional, multi-source, multi-format
OGC:Open Geospatial Consortium Specifications
Web Map Service (WMS)
Web Coverage Service (WCS)
Characterizing air pollution with these data involves multi-dimensional analysis over x,y,z spatial dimensions, the temporal dimension, and across multiple parameters.
The Open Geospatial Consortium (OGC) specifications focus on the spatial dimensions (maps) but can be extended and adapted to support standardized queries to non-spatial dimensions of the data space.
Air quality data are collected by multiple sources including surface monitoring networks, air-borne measurements, and satellite-borne sensors.
Web Feature Service (WFS)
Sensor Observation Service (SOS)
Station-Point SQL Server, Files…
Sensor Modeling Language (SensorML)
nDim GridOpenDAPnetCDF, …
Other Traject., Events, Pics
DataFed:Interoperability among distributed data sources
Air Quality Data Services: Application of OGC specifications
Data Federation (www.datafed.net) is a web-based infrastructure for distributed data access and collaborative processing/analysis of air quality data.
Point observations are collected by fixed-location sensors and mapped into a relationship database.
The station information (lat, lon, name, etc) is captured in a station table that can be serve the station information as a WFS.
The descriptive information identifying the type of sensor, such as pollutants measured, method used, sampling frequency, and sampling duration are collected in parameter table. This information can be encoded in SensorML and accessed through SOS.
A central fact table of observations is continually updated as newer observations are collected. The observations are associated with a station id, date/time, and parameter and can be served as a WCS or SOS and visualized through a WMS or other viewer services.
Implementation of OGC specifications makes the data available in multiple formats and usable by a variety of clients as either maps, time series plots, or tables.
Research supported by: