| With the rapid speed of the industrialization and urbanization in China, various contradictions between the social development and environment appear, and more and more unexpected environmental problems increase sharply, such as the water pollution of the Songhua River caused by the explosion of Jilin Petroleum chemical plant, the water pollution of the the River in Sichuan province, the water pollution of North River in Guangdong, and so on, which manifest that the public security of water pollution has severely influenced people’s public life. Take the Three Gorges Dam and the Three Gorges Reservoir as an example. It is obvious that the water pollution in the Three Gorges Reservoir Area has severely endangered the social public security, for the Three Gorges Dam and the manual intervention of the continuity of the Yangtze River for the development of the reservoir area have changed its original natural ecology and the social environment.At present, the related management departments, according to their various job responsibilities, have established the correspondent information monitoring systems. But these separate systems aim at monitoring the water physical and chemical properties. So it is quite necessary to know how to combine the separate and mature monitoring information with each other, especial how to apply the mature modern technology, such as GIS, GPS, RS, to the present monitoring systems, so as to achieve the Early Warning in advance. The author of this dissertation thinks that an integrated water pollution Early Warning management information system can function to achieve the goal. However, the relevant research on the Early Warning information management of public security in water pollution is rare, and a complete Early Warning prediction model and Early Warning information system has not come into been. So based on the former study on public security events in water pollution, this dissertation makes it clear the Early Warning targets, the monitoring subject, the Early Warning contents, and the information generation model, proposes a method to combine the present monitoring systems and new technologies, and at last establishes a complete structure of Early Warning information management system.This dissertation first illustrates the relationship among disaster science, information science, scenario analysis method, construction theory, Early Warning and emergency management theory and thesis research. And then, it puts forward a new way to apply the Early Warning management theory and information management theory to study on public security in water pollution. With the case analysis of public security events in water pollution happened in recent years in China, it employs the scenario analysis method to determine the basic features of public security events in water pollution, and composes the fundamental model of its formation and evolution. With the field research and case analysis of the public security events in water pollution, this dissertation points out the Early Warning index system of the events, adopts A·J·KLEE method and analytic hierarchy process (AHP) to construct the evolution model of the events, and makes it clear the Early Warning targets and monitoring subjects. With the help of growth curve model, conditional function and regression model, the Early Warning information formation model, which is on the basis of various types of secondary events in different evolutionary stages of public security in water pollution, are constructed, and its basic principles, expected features and forms are discussed. At the same time, the key content and integrated framework of Early Warning information management system are established, and the analysis of the management system construction, the design of the transfer process, the system frame, the platform frame and the database of the Early Warning information are completed.In conclusion, this dissertation proposes a evolution model of public security events in water pollution, makes it clear the various types of secondary events in different stages, points out its exact monitoring subjects and contents, establishes its information generation model and its integrated framework, and its overall structure. This dissertation focuses on the aspects of the Early Warning information formation, its system integration and the structure design of its management system. It also points out the practical Early Warning index system, which may benefit the specific exploration of the Early Warning system in the future. |