Inexpensive fixed smartphone network has quake alert potential, USGS-led team finds

Inexpensive fixed smartphone network has quake alert potential, USGS-led team finds

July 13, 2021

In late 2019, a US Geological Survey-led research team assembled 82 smartphones, strapped them to walls and floors in buildings across Costa Rica and waited six months. After a careful analysis, they discovered that they had created an effective and inexpensive Earthquake Early Warning system that could provide communities with up to tens of seconds of warning that an earthquake occurred and shaking is imminent.

“We wanted to explore the inexpensive end of the Earthquake Early Warning spectrum,” Benjamin Brooks, lead author and USGS research geophysicist, said. “It turns out that the system can also be quite effective at that end of the spectrum, too.”

Out of your pocket, onto the floor

Building on previous research that first tested smartphone sensors for earthquake early warning, the new study moved smartphones from jostling pockets to stationary floors and walls. Instead of relying on crowdsourced data, the new approach relies on a fixed smartphone network.

“The smartphones stopped being telephones,” said Marino Protti, director of the Costa Rica Volcanological and Seismological Observatory at the National University (OVSICORI-UNA) and co-author of the study. Instead, the phones’ on-board accelerometers, or mini motion sensors, captured the acceleration of the ground as earthquake waves propagated from an earthquake’s epicenter.

Over a six-month period from December 2019 to June 2020, the Alerta Sismica Temprana Utilizando Telefonos Inteligentes network successfully captured five magnitude-4.8 - 5.3 earthquakes across Costa Rica and sent a short, labeled message with enough time for a group of beta testers to be able to take a protective action, like drop, cover and hold on.

Smartphone networks are less sensitive than scientific-grade networks (like the USGS ShakeAlert system) and usually detect movement from secondary-waves (s-waves). Scientific-grade networks, on the other hand, are typically able to provide more warning time by first detecting subtler primary-waves (p-waves), which are less destructive and travel more quickly though Earth’s crust, arriving before more destructive s-waves.

However, the Costa Rican smartphone network also detected two quakes based on p-waves, a success rate that is comparable to scientific-grade networks and encouraging for potential similar systems in the future. The network sensed three quakes based s-waves, which means there would have been a shorter, but still beneficial, amount of warning time.

The smartphone network is intended for strong motion quakes. Although data from Costa Rica’s scientific-grade network were not used in this study, previous data from the former helped validate data from the latter.

An ideal testing environment

In addition to beautiful tropical beaches, Costa Rica also offers an ideal setting to test an Earthquake Early Warning system. The country experiences more than 1,000 earthquakes a month, of which 15 can usually be felt.

“We have the best tectonic laboratory in the world,” Protti said.

The Central American country’s seismic hazard is primarily due to the subduction of the Cocos plate below the Caribbean and Panama plates along the Middle America Trench. The team prioritized installing the smartphones in areas to best detect and warn for Middle America Trench earthquakes, which have the highest probability of affecting the largest percentage of the population, especially in San Jose.

International collaboration

While the smartphones were collecting information across Costa Rica, scientists in California processed the data.

“This international work has been funded since its inception five years ago by the USAID Bureau of Humanitarian Assistance,” Brooks said. “The project aligns with its and USGS interests of international scientific and technological capacity and relationship building.”

The team is particularly excited for the smartphone network’s potential to provide Earthquake Early Warning capabilities to countries with limited resources.

"Our project shows that a resource-limited country could provide the sensing necessary to implement some form of earthquake alerting with smartphones from the local mall, for example,” Brooks said.

For next steps, the researchers plan to invite approximately 1,000 people in Costa Rica to test a new app that will use data from the smartphone and scientific-grade network to send alerts.

“The tricky and most important aspect to take into account is determining how people will respond to and interact with alerting systems,” Brooks said.

The findings were published in the journal, AGU Advances.

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