GDACS continues to report on Tropical Cyclone BAVI, a category 5 Hurricane, which damaged islands in the North Mariana group on Sunday and Monday, and has since been forecast to affect Taiwan, China and Japan, threatening 63 million people in its path with winds of greater than 120km/h. Maximum wind speeds of 280km/h have already been recorded.
The Taipei Times says that the Taiwanese government has mobilized disaster relief personnel nationwide and concluded preparations in areas vulnerable to isolation during severe weather, according to Premier Cho Jung-tai.
Nationwide, authorities have ensured 6,662 disaster response personnel, 4,497 rescue vehicles, 1,254 boats and 24 helicopters are on standby, Cho wrote on Facebook. Preparations completed in 173 locations considered at risk of becoming isolated during the storm include stockpiling supplies, ensuring communications capabilities and arranging evacuation shelters, said the premier. He said the military has also placed 28,922 troops on standby for potential disaster response operations.
As of the end of last month, the Ministry of the Interior had trained more than 150,000 certified disaster prevention volunteers, enhancing Taiwan’s disaster resilience, he added.
Cho urged local governments to make full use of the remaining time before the typhoon’s arrival to accelerate drainage ditch clearing and reduce the risk of flooding and other storm-related disasters.
In the meantime China’s Guangxi Zhuang Autonomous region has experienced heavy rainfall from a typhoon named MAYSAK. News.cgtn.com says that the Ministry of Emergency Management (MEM) has coordinated with multiple agencies, including the China Meteorological Administration and the ministries of Water Resources, Natural Resources, Housing and Urban-Rural Development, and Transport. National-level emergency command operations have been activated.
Typhoon MAYSAK, the 10th typhoon of the year and the first to make landfall in China in 2026, struck the southern island province of Hainan on the 3rd of July before moving inland and unleashing torrential rains across south China’s Guangxi Zhuang Autonomous Region. Record-breaking rainfall triggered severe flooding in multiple cities. More than 375,000 people in Guangxi have been affected, and at least 130,000 residents have been evacuated from flooded areas.
In the hardest-hit town of Yunbiao, Hengzhou County, Guangxi, a massive flood left more than 15,000 residents stranded and the entire town submerged, making roads impassable for traditional ground rescue vehicles. A drone rescue team drove over 1,700 kilometers and traveled for 18 hours to reach the disaster zone.
The team deployed two heavy-lift drones, each with a wingspan of over three meters and a carrying capacity of 100 kilograms, along with three smaller reconnaissance drones. Using drones equipped with ropes, the team successfully hoisted two stranded residents off a flooded rooftop and transported them to safety via inflatable boats.
At Guangxi authorities’ request, the MEM deployed two Wing Loong UAVs for emergency communications and, together with the National Food and Strategic Reserves Administration, allocated relief supplies.
The UAVs flew continuously over the affected regions, restoring mobile phone connectivity for residents cut off by the floods. Alongside the drone deployment, the ministry also sent 1,372 personnel from the China National Comprehensive Fire and Rescue Team, 270 vehicles and 140 boats, as well as 350 specialized rescuers with equipment.
The National Development and Reform Commission has allocated 100 million Yuan ($14.7 million) from the central budget to rebuild damaged infrastructure, including roads, water conservancy facilities, schools and hospitals, to help restore normal life.
As the storm continues to bring heavy rainfall to parts of southern and central China, authorities are closely monitoring river levels and flood risks. The Ministry of Water Resources is using satellites, ground-based radar and digital simulation models to track rain clouds and predict how floodwaters may spread, helping identify high-risk areas earlier and issue faster warnings.
By Friday, the death toll in all the flooding, tornadoes and also a landslide, had amounted to 39, with 130000 people evacuated from their homes. Remember they still face Cyclone BAVI, which is approaching from the South East.
Here’s an interesting concept from hackster.io.com/news. They note that invisible radio waves are bouncing around everywhere, carrying everything from Wi-Fi traffic and drone video feeds to satellite transmissions. Engineers have long relied on spectrum analyzers and software-defined radios to listen to these signals, but actually seeing where they originate is another matter entirely — and doing it typically requires complex and expensive laboratory equipment well beyond the reach of most hobbyists and educators.
QuadRF was designed to change that by packaging a complete 4×4 MIMO software-defined radio, phased-array antenna system, Raspberry Pi 5, and open source software into a single development kit. The result is what its creators describe as a real-time RF camera, capable of displaying nearby wireless transmitters as augmented reality overlays while also serving as a platform for beamforming, wireless research, robotics, and advanced SDR development.
At the core of the system is a coherent four-antenna array capable of measuring tiny differences in the arrival time of radio signals. Those measurements are transformed into a live, 30 frames per second augmented reality display that overlays wireless transmissions onto the real world through a smartphone or laptop. Instead of simply showing signal strength on a graph, QuadRF can identify the physical location of Wi-Fi access points, wireless cameras, drones, beacons, and other transmitters, with each source color-coded by frequency.
The visualization is only one part of the package. Users can tap on an identified signal source and route it into SDR software for decoding, or transmit a beam-formed signal back toward the device. The included Raspberry Pi 5 runs the web interface, calibration software, and many SDR applications locally, while heavier signal processing workloads can be offloaded over Gigabit Ethernet, USB 3.0, or Wi-Fi to external software such as GNU Radio, SDRangel, or Pothos.
The hardware is built around a full-duplex 4×4 MIMO architecture with four transmit and four receive chains operating across the 4.9 to 6.0 GHz C-band. Each antenna supports up to 40 MHz of instantaneous bandwidth and up to 1 W of transmit power. Signal processing is handled by a Lattice ECP5 FPGA working alongside the Raspberry Pi 5, with a completely open source software stack released under GPL licenses.
The platform can be used to study RF reflections and material absorption, develop beamforming algorithms, build high-bandwidth mesh networks, improve long-range wireless communications, characterize antennas, or provide robots with a new method of sensing their environment using radio signals. The creators also envision it as an educational platform for teaching phased arrays, MIMO communications, and spatial RF concepts without requiring professional laboratory equipment.
While a single QuadRF functions as a standalone phased-array SDR, multiple units can be combined into much larger antenna arrays. The developers envision everything from 240-element amateur radio arrays capable of Earth-Moon-Earth communications to backyard radio telescopes.
Thank you to hackster.io.com for that fascinating description.
This is Dave Reece ZS1DFR reporting for HAMNET in South Africa.