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雨带继续维持,川渝至苏皖一带警惕强降雨致灾
Xin Hua Cai Jing· 2025-08-11 09:25
Group 1 - A significant rain belt along the Yangtze River has caused frequent rainfall in the Sichuan-Chongqing and Jiangsu-Anhui regions, with rainfall intensity varying greatly and localized heavy downpours observed [1] - Monitoring data indicates that from the 9th, areas in eastern Sichuan, Chongqing, and Hubei experienced rainfall between 50 to 100 millimeters, with localized areas in Chengdu and Deyang reaching 253 to 349 millimeters [1] - Meteorological experts predict that from the 11th to the 12th, the rain belt will persist, with parts of Sichuan, Chongqing, northern Guizhou, northern Yunnan, Hubei, northern Hunan, Anhui, and Jiangsu expected to experience heavy to extremely heavy rainfall [1] Group 2 - Different types of rainfall can trigger geological disasters, with short-duration heavy rainfall leading to rapid surface runoff that can cause mudslides and shallow landslides due to soil saturation [2] - Continuous rainfall allows water to seep into deeper soil layers, increasing the weight of the rock and soil, which can lead to deep landslides when the friction between layers is weakened [2] - The risk of landslides does not cease immediately after rainfall, as water continues to infiltrate the soil, potentially leading to landslides days after the rain has stopped [2]
可识别潜在易发区域 全国高精度滑坡泥石流风险“图谱”上线
Yang Shi Xin Wen· 2025-08-07 05:19
Core Viewpoint - The China Meteorological Administration has successfully developed a landslide and debris flow surface risk zoning product with a spatial resolution of 1 kilometer, aimed at scientifically addressing the critical question of "where landslides and debris flows are likely to occur" [1]. Group 1 - The product integrates six major categories of disaster-environment factors, including terrain, geology, soil, vegetation, hydrology, and human activities, comprising a total of 16 types of underlying surface data [11]. - The research team employed standardized processes such as rigorous calibration, unified coordinates, vector conversion, reclassification, and resampling to create a comprehensive dataset that characterizes the spatial heterogeneity of surface environmental features across the country [11]. - Based on known geological disaster points or hazard points, the product intelligently analyzes these underlying surface environmental features to objectively identify potential areas prone to landslides and debris flows nationwide, using a 1-kilometer resolution orthogonal grid as the basic unit [11]. Group 2 - The product will be regularly updated to incorporate newly collected disaster and hazard point information, continuously optimizing the surface risk identification and zoning results [11].