Systematic information, derived from systematic data integration in diverse scales (spatial and temporal) and structures, is essential for clear understanding of environmental problems with hierarchical and interactive representation of natural system dynamics. To effectively support systematic integration of environmental data, a systematic object-event (SOE) data model has been developed and demonstrated by applying it to a database design for data management of an industrial wastewater treatment plant in this study. Comparing with a developed relational database, it is shown that the SOE database is more comprehensible and flexible for data access and integration at different levels with its embedded systematic logics. Data distributed in diverse SOE databases are more capable to be significantly integrated to provide adequate information for better utilization in emergent environmental modeling or knowledge mining tools, such as declarative modeling, semantic modeling, and agent-based software or information systems.
