Equipped with smart clairvoyance , the number of automatic monitoring points for geological disaste

Mondo Social Updated on 2024-01-30

The area of medium and high susceptibility to geological disasters in Guizhou is 1530,000 square kilometers, accounting for 87% of the total land area of the province, at present, the province has installed tens of thousands of geological disaster automatic monitoring points, the number of completed sites and coverage are in the forefront of the country.

At the automated monitoring site for geological hazards in Pingba District, Anshun City, technicians are checking equipment to ensure that data such as rainfall and surface displacement and deformation can be collected and transmitted normally.

Wu Dongran, from the Emergency Disposal Department of the Guizhou Provincial Geological Disaster Emergency Technical Guidance Center, introduced: "The commonly used instruments are rain gauges, crack meters, collapse meters, as well as deep displacement meters, soil moisture content meters and so on. ”

Gong Wei, early warning and forecasting department of Guizhou Provincial Geological Disaster Emergency Technical Guidance Center, told reporters that millimeter-level changes can be monitored, and they can be sent to the Guizhou Provincial Geological Disaster Prevention and Control Command Platform in a few seconds.

Relying on the automatic monitoring point of geological hazards, the local government successfully monitored, warned and avoided a landslide geological disaster in 2022.

Pan Qinxue, a villager of Wuyi Village, Cross Township, Pingba District, Anshun City.

According to Pan Qinxue, a villager in Wuyi Village, Cross Township, Pingba District, Anshun City, the night before the landslide, a geological disaster monitor in the village informed everyone to be vigilant against heavy rain, and the next day the township staff came to inform everyone to evacuate. ”

Bai Chengbiao, director of the Anshun Geological Disaster Prevention and Control Emergency Command Center, said: "The distance between the crack warning and the collapse of the house is about two hours, and there are 29 households at home, and all 59 people are evacuated to avoid danger. ”

At present, landslides and collapses account for 78% of the known geological hazards in Guizhou. Since 2020, relying on the automated monitoring platform, the province has successfully warned 65 geological disasters and avoided 7,313 people.

At the same time, the layout of automatic monitoring points is also exquisite. Guizhou adheres to the "dual control of points and faces", and 280,000 potential disaster points and risk slopes were investigated one by one, and topographic data were collected, and key areas were screened out through digital modeling.

Wu Dongran, from the Emergency Disposal Department of the Guizhou Provincial Geological Disaster Emergency Technical Guidance Center, introduced that "point-surface dual control" refers to geological disaster hidden danger points and risk slopes. Some risk slopes may not have signs of deformation in the early stage, which is also a potential threat range, and it is necessary to find it accurately to make the monitoring point more accurate.

At present, our province has built more than 10,000 automatic monitoring points for geological disasters on potential hazards and risk slopes, and the number and coverage of completed sites are among the top in the country.

Wang Mujun, deputy director of the Geological Exploration Management Office of the Provincial Department of Natural Resources.

Wang Mujun, deputy director of the Geological Exploration and Management Office of the Provincial Department of Natural Resources, said: "The next step will be to further develop the data independent solution platform, optimize the early warning model algorithm, realize the automation and intelligence of the whole process of data collection, early warning analysis and information release, and improve the scientific and technological level of geological disaster prevention and control in our province." ”

Reporter: Wang Chuhan).

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