AETA Earthquake Prediction AI Algorithm Competition 2021

Background

China is a country with frequent earthquakes and widely distributed fault zones. Earthquakes, especially large earthquakes, can cause incalculable damage to people's lives and property once they occur in densely populated areas without people's awareness. It is very challenging and of great scientific value and social significance to carry out the research work of precursor observation, correlation analysis, precursor mechanism research and earthquake three-element prediction model around the solution of earthquake prediction and forecast problem.

The Earthquake Monitoring and Prediction Technology Research Center of Peking University Shenzhen Graduate School has developed a broadband electromagnetic disturbance and geo-acoustic monitoring system, named multi-component earthquake monitoring and prediction system AETA.

AETA, short for Acoustic & Electromagnetism To AI, the system includes:

• one acoustic sensor probe: to collect geo-acoustic data

• one electromagnetic sensor probe: to collect electromagnetic disturbance data

• one terminal device: connects to the two sensors by cable, for data process, temporary storage and uploading (via cable, wifi or 3/4G network)

• data storage: currently using AliCloud

From 2016, 300 sets have been deployed in some of the most earthquake-active areas in China, of which 240 sets in Sichuan/Yunnan and neighbouring provinces, and 60 sets in other areas. More systems will be deployed as soon as additional funding becomes available. Presently, 38TB of data has been collected, and 20GB of data is being collected daily. We discovered some signal characteristics related to earthquakes with imminent earthquake characteristics. Based on these findings, the imminent prediction of strong earthquakes was carried out. Although some progress has been made, the solution to the problem of distance earthquake prediction and prediction requires more analysis and research.

Purpose

"AETA Earthquake Prediction AI Algorithm Competition" aims at mining the correlation between precursor observation data and earthquake three elements through innovative algorithms, discovering abnormal signals and features related to impending earthquakes, and building earthquake prediction models based on historical observation data and earthquake catalogue, in the hope of promoting the solution of scientific problems of earthquake prediction and forecast. At the same time, we also hope that through this competition, more attention and participation of people from all walks of life are involved and more novel technology and methods will be applied in earthquake prediction and forecast.

Problem and Data

Earthquake prediction for the coming week on each Sunday based on historic data from AETA network in Sichuan and Yunnan region. The magnitude of target earthquake should be equal or larger than 3.5. The target region is 22°N -34°N, 98°E -107°E. For an earthquake with a magnitude of 3.5 or larger in the target area, it will not be counted if there is no AETA station within 100km.

Training data for model construction

95 kinds of feature data of electromagnetic disturbance and geo-acoustic will be given to all teams. The time interval of each data is 10 minutes which is marked by timestamp. The specification of 95 kinds feature data will be specified in a read me file. The time period of data is from Oct. 1th 2016 to Dec. 31th 2020. In addition, an earthquake catalogue of ≥3.5 seismic events in the target region is also provided. Earthquake catalogue is from China Earthquake Network Center (CENC, http://news.ceic.ac.cn)

Real-time data for prediction

From Jan. 1th 2021, 95 kinds of feature data of electromagnetic disturbance and geo-acoustic will be updated each week. Teams can download data by week. There are two ways to download data. One is to download data from the website manually. The other one is to download data automatically through login the data server by an executable program which will be supplied by the host. The prediction of each week can also be submitted through two ways just like data download.

Schedule

The process of Registration

1. Creat account: Registration --> Activation through email --> Login;

2. Create or Join a Team

   (1) click "CREATE A TEAM" on TEAMS page;

   (2) or find the team you want to join in on "TEAMS" page and click the DETAILS, then click "APPLY TO JOIN";

   (3) the team creator needs to click OK on DETAILS page of team to comfirm the application.

   (4) If you need to change your team, please contact us.

• If you encounter any problems please contact yongshanshan@pku.edu.cn

Award setting

The results of this competition will be confirmed and approved by the award committee and published on the official website. First prize, second prize, third prize and encouragement award are set in this competition, with a total bonus of 300,000 yuan.

• First prize: 1 team, 100,000 yuan (pre-tax).

• Second prize: 2 teams, 50,000 yuan (pre-tax).

• Third prize: 5 teams, 20, 000 yuan (pre-tax).

• Encouragement Award: 10 teams.

• Participants Award: all teams that successfully complete this competition will be awarded as well.

The organizer will award trophies and certificates to all winning teams, and invite representative of all winning teams and partial participants award teams to the award ceremony for technical exchanges, and provide round-trip travel and accommodation expenses.

Acknowledgement

Thanks to Academician Wang Yangyuan and Academician Yang Fuqing for their concern and guidance on the AETA earthquake monitoring and prediction project. Thanks to the China Earthquake Administration, Sichuan Province, Yunnan Province, Hebei Province and other relevant provincial earthquake administration for their support, and thanks to nearly 200 cities and counties for maintaining the AETA stations. Thanks to the Shenzhen Science and Technology Innovation Commission for funding. Thanks to all colleagues in the industry who participated in our AETA project. Thanks to Shenzhen Valley Ventures, School of Computer Science, Wuhan University for their human and material resources. Thanks to Zowee Technologies Co.,Ltd., Sindi Technologies Co.,Ltd., Shenzhen JingQuanHua Electronics Co., Ltd., Vast Data Technologies Co.,Ltd., etc for their strong cooperation.