Core Insights - The article discusses a breakthrough in dynamic monitoring technology for underground mining, developed by the Qingdao Survey and Mapping Research Institute, aimed at preventing illegal mining activities and ensuring safety in mining operations [2][3] Group 1: Technology Overview - The new monitoring technology utilizes a combination of "Internet of Things (IoT) sensing and artificial intelligence" to provide real-time, non-contact monitoring of underground mining activities [2] - The system incorporates "micro-seismic and intelligent micro-motion" monitoring, along with a spatial-temporal three-dimensional image library and a multi-dimensional intelligent dynamic monitoring and early warning platform [3] Group 2: Advantages Over Traditional Methods - Unlike traditional manual inspections and static monitoring methods, which are often delayed, the new technology allows for real-time monitoring of ground vibrations, ensuring comprehensive oversight of mining activities [3] - The integration of "5G and IoT transmission" enables immediate data collection and transmission, enhancing the monitoring capabilities of the system [3] Group 3: Impact on Mining Regulation - The implementation of this dynamic monitoring technology signifies a shift towards intelligent regulation in the mining industry, marking the beginning of a digital transformation in mining oversight [3] - The system's ability to automatically identify illegal mining activities by comparing actual operational data with electronic mining rights boundaries enhances regulatory transparency and safety [3]

Core Viewpoint - The Guangdong Provincial Land Resources Surveying and Mapping Institute has innovatively utilized GDCORS (Guangdong Satellite Navigation Positioning Reference Service System) data to establish a comprehensive monitoring system for typhoon-related water vapor, providing scientific support for geological disaster prevention and mitigation. Group 1: Technology and Methodology - The ground-based GNSS water vapor inversion technology captures atmospheric refractive delay signals to accurately analyze Precipitable Water Vapor (PWV) [1][4] - This technology allows for minute-level updates of water vapor transport paths during typhoon events, significantly enhancing disaster warning capabilities [1][4] - The GDCORS network consists of 575 stations with an average spacing of approximately 26 kilometers, covering the entire province and facilitating data sharing with neighboring provinces [5][12] Group 2: Findings and Analysis - The study revealed a significant negative correlation (-0.86) between water vapor changes at GDCORS stations and the distance to the typhoon center, indicating a direct dynamic relationship [2][9] - Water vapor changes exhibit a three-phase pattern in relation to typhoon proximity: rapid increase, high-value oscillation, and quick decline [2][9] - The spatial and temporal changes in water vapor are highly coupled with rainfall processes, providing new technical means for short-term forecasting and regional precipitation warnings [2][9] Group 3: Impact of Geography - Topography significantly influences water vapor transport and extreme precipitation during typhoons, with mountain barriers affecting the distribution of rainfall [3][10] - The study highlighted that the presence of mountains can enhance convective activity on the windward side, leading to significant water vapor accumulation and precipitation before reaching the leeward side [3][10] Group 4: Application and Future Directions - The GNSS water vapor inversion technology has become a core tool for meteorological monitoring, disaster warning, and climate research, directly applied in provincial disaster management strategies [4][11] - Future research will focus on enhancing the ground precipitation observation system, improving the compatibility of GNSS networks, and integrating artificial intelligence for better anomaly detection and prediction capabilities [6][12]