South Korean officials conducted emergency on-site inspections of transmission-tower construction sites in Gangwon Province and Gyeongsangbuk-do following recent heavy rains [1].

The inspections target coastal regions where soil erosion has increased the risk of landslides and structural collapses. Ensuring the stability of these sites is critical to prevent infrastructure failure and protect nearby residential areas before the upcoming monsoon season [2].

Representatives from the Ministry of the Interior and Safety, including Disaster Response Division Head Cho Su-chang, led the effort alongside local government officials and staff from the Korea Electric Power Corporation (KEPCO) [1]. The team assessed the integrity of the terrain and current construction progress to identify vulnerabilities caused by water saturation [2].

Officials are focusing on implementing protective measures to mitigate potential disasters. These interventions may include the installation of protective screens, and safety netting to prevent debris from reaching populated areas [2].

Cho Su-chang said, "If there are places where residents could be harmed, we will conduct research through professional agencies and ask for your cooperation in taking preliminary measures such as installing protective shields or nets" [2].

The ministry intends to coordinate with professional research institutions to determine the most effective stabilization techniques for the specific geography of the east coast [1]. This collaboration aims to create a comprehensive safety plan that addresses the unique challenges of coastal slope stability during extreme weather events [2].

“The inspections target coastal regions where soil erosion has increased the risk of landslides”

This emergency response highlights the increasing vulnerability of South Korea's energy infrastructure to extreme weather. By integrating professional geological research with immediate physical barriers, the government is attempting to shift from reactive disaster management to a preventative model ahead of the high-risk monsoon period.