Research On The Monitoring And Warning Mechanism Of Vessel-source Pollution In Three Gorges Dam Area

The Three Gorges Reservoir has greatly enhanced the ability of the Yangtze River shipping and enhanced the shipping function of the "golden waterway". However, with the increasing of ships in Three Gorges Dam area, vessel-source pollution is becoming increasingly serious. Vessel-source pollution has its characteristics: coupling, being derivative, rapid spread. Its occurrence and development are greatly uncertain and difficult to predict the consequences. Vessel-source pollution not only pollutes the Yangtze River water, results in loss of ecological and fisheries resources, but also directly threatens the life of the residents in the area of the dam and downstream areas of the river.Three Gorges Dam area is the key area of Yangtze River with the most ships passing. This area is facing the most serious vessel-source pollution and most likely to happen vessel-source pollution accidents. Because of the mobility, large coverage, long line, dispersion of vessel-source pollution, it's very difficult to monitor and prevent effectively. In the event of vessel-source pollution accident, life of the residents in the Three Gorges Dam and downstream area of the river will be seriously affected. If measures were not took properly, it will intensify and expand the harm to society, leading to the chain reaction of the secondary events, or even evolve into the regional public security incident that threatens public health and property.In this paper, the monitoring and early warning mechanism of vessel-source pollution in Three Gorges Dam area was studied. Sources of the risk, the characteristics of vessel-source pollution, the type of early warning information, and the procedure of monitoring and early warning were studied. On this basis, the monitoring and early warning Mechanism of vessel-source pollution was proposed. At the end of the paper, measures were pointed out to build the scientific and effective monitoring and early warning mechanism. The author believes that this study will help our government establish the mechanism to predict and prevent vessel-source pollution to avoid or reduce the environmental, social and economic losses of the pollution.