It is planned to deploy this advanced detection network, the first for the country, over the next decade, M. Ravicandran, Minister of the Ministry of Sciences, said, Mint said.
Although precisely predicts the exact time, the location and size of the earthquake remains a scientific challenge, the ministry invests in the infrastructure to improve early warning systems.
“There is currently no scientific method to predict the earthquake in advance. However, we can monitor seismic activity in real time to quickly determine where and why the earthquake occurred,” Ravicandran said.
He explained that when an earthquake intervened, the primary wave (P-Wave), first hits a more destructive S-wave. There is usually a short time gap between these waves. “Our goal is to detect the occurrence of P-vlny and use this short window to predict the arrival of a harmful wave of S.”
He said Japan was already able to predict the waves of S-Vlny a few seconds. “Technology is known science, but there should be infrastructure to make the system functional,” he added.
The ministry sets up infrastructure for the system. For example, they must install accelerometers that measure ground movement during the earthquake, and GPS equipment in many places.
“If everything is in place, I can say that maybe in decades, we can go to warn an early earthquake,” he added.
Indian vulnerability of earthquake
India is a highly vulnerable earthquake thanks to its unique geological and tectonic environment, especially its location on the limit of collisions of Indian and Eurasian plates. This constant tectonic activity causes several parts of the country susceptible to a mild to severe earthquake.
The government found that 59% of India is susceptible to earthquakes, and the Indian Standards (BIS) Office classified the country into four seismic zones based on the risk of earthquakes. The V Zone, including regions as a Himalayas, is the most active, while zone II is least affected.
Over the years, India has experienced several devastating earthquakes. Kangra and Bhuj’s 2001 earthquake is one of the most catastrophic in Indian history.
The earthquake of Kangra by 8.0 Magnitude claimed 19,800 lives. This was followed by an earthquake Bhuj at 7.9, which led to 12,932 deaths and devastating 890 villages. Recently, on February 17, 2025, Delhi hit an earthquake of 4.0 Magnitude. India recorded 159 earthquakes from November 2024 to February 2025, bringing concerns about the future readiness of the country.
On July 22, a 3,2 with epicenter in Faridabad, Haryana was felt in Delhi parts, but no damage or injury was reported.
“Early warning systems (EWS), powered by real -time data, resistant building regulations and standards, adaptive engineering principles, and AI (artificial intelligence), play an essential role in the protection of infrastructure and communities,” said AMIT PROTHI, CEO for resistance to catastrophe (CDRI). “They increase seismic resistance by better equipping the assets to withstand shocks, speed up recovery and protect lives and livelihoods.”
CDRi, a new multilateral organization based in Delhi, was opened by Prime Minister Narendra Modim at the Summit for the UN Climate Actions (UN) 2019.
Prothi added that it is therefore important to call the UN Secretary General António Guterres “early warning for all”.
On the World Day of Meteorological Day, March 23, 2022, Guterres announced that the UN will be headed by a new event “to ensure that every person on Earth is protected within five years.”
“Today, one -third of people in the world, especially in the least developed countries and small island developing states, still covered in timely warning systems. This is unacceptable, especially with the impact on climate to get worse.
Once the Indian system is introduced, critical damage to public and private infrastructure can be avoided, Ravicandran said. For example, if a train from a bullet goes from one place to another, early information can alert the system that stops the train from the bullet and cuts off the transmission line, he said.
(Tagstotranslate) Early warning systems
