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Application of spatial information technology in urban earthquake disaster monitoring and evaluation

2022-04-08  |   Editor : houxue2018  
Category : Technology

Usually, the application of spatial information technology in urban public safety, especially in disaster prevention and mitigation, mainly includes the use of remote sensing technology, GIS technology, GPS technology, computer network technology, database technology, etc. The formulation of disaster relief plans, the real-time monitoring of disasters in the process of disasters, the rapid assessment of disaster losses, the emergency command and dispatch of disaster reduction and disaster resistance, and auxiliary decision-making.In these processes, space information technology is of great use. As long as it can be scientifically organized and applied on a large scale, real-time monitoring of the disaster process can be realized, so as to provide leadership at all levels and departments at all levels for command and dispatch, rapid response, joint Action provides a reliable basis.

Earthquakes are irresistible natural disasters that cause extremely serious losses to human beings. From the distribution of earthquake zones, 60% of China's land and more than half of large and medium-sized cities are located in areas with an earthquake intensity of 6 degrees or higher. In addition to direct damage to buildings, the strong ground movement caused by a major earthquake also induces geological disasters such as landslides, landslides, mudslides, and foundation liquefaction. The damage caused by the earthquake also leads to secondary disasters such as fire, flood, explosion, spread of poisonous gas, and plague. Therefore, the ability of the city to resist earthquake disaster is very important. Because earthquake prediction is a worldwide scientific problem, urban earthquake disaster mitigation, emergency rescue during earthquakes, and rapid assessment of earthquake disasters have become effective means of reducing earthquake disasters. Using remote sensing technology, data can be obtained quickly and accurately. After rapid processing, it can not only provide an important basis for the deployment of urban earthquake relief, but also provide information support for earthquake relief and earthquake disaster assessment, and improve the efficiency of earthquake relief.

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