The Forecast Analysis System, Based On Regional Environmental Quality Of The Data Warehouse

With the burgeoning development of the diversified economy, a great number of complicated environmental problems have emerged. In order to tackle the problems, we have established various environmental information management systems, but each system deals with its daily business processing work separately. Due to the inconsistency of the data in different systems, the lack of a comprehensive and integrated data environment, as well as the difficulty in information exchange among different systems, smooth information sharing cannot be achieved, which causes the failure of fulfilling the requirement of environmental management decision-making and data analysis. Therefore, this thesis availing the regional environmental quality prediction technology based on data warehouse; effectively meet the requirements of modern environmental management business and environmental decision analysis management.Based on the study of data warehouse technology, decision support technology and related theoretical foundation, key technologies concerning the implementation of the system are discussed in this thesis. System analyses are made according to the requests from the environmental management clients, so as to set up regional environmental quality prediction system structure based on the data warehouse. Meanwhile, the corresponding designs, including data warehouse, OLAP and data mining are also covered. As to system implementation, the combination of industry experience in environmental management and data mining method fully reflects the applicability, superiority and expansibility of the system.This research, adopting the existing business management system metadata of Chengdu Environmental Protection Bureau, establishes regional environmental quality analysis model. Through the analysis and prediction of the regional environmental quality trend, decision-making basis and planning direction for the environment management and new projects are provided. The realization of forecast and early warning for major environmental events, and the improvement of the environmental protection management level are made possible. It also provides accurate data for the decision-makers for reference, as well as data support for urban construction planning and environmental management work.