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Scientists say they have developed a system that uses machine learning to predict when and where lightning will strike. The research was led by engineers from the Swiss Federal Institute of Technology in Lausanne, Switzerland.

Lightning is a strong burst of electricity in the atmosphere. It can strike between clouds or between a cloud and the ground. Since lightning carries an extremely powerful electrical charge, it can be destructive and deadly. It is difficult to know exactly how many people die of lightning-related causes. European researchers have estimated that between 6,000 and 24,000 people are killed by lightning worldwide each year. The strikes can also cause power failure, destroy property, damage electrical equipment and start forest fires.

For this reason, climate scientists have long sought to develop methods to predict and control lightning. The system tested in the experiments uses a combination of data from weather stations and machine learning methods. The researchers developed a prediction model that was trained to recognize weather conditions that were likely to cause lightning. The model was created with data collected over a 12-year period from 12 Swiss weather stations in cities and mountain areas. The data related to four main surface conditions: air pressure, air temperature, relative humidity (湿度) and wind speed. The atmospheric data was placed into a machine learning algorithm (计算程序), which compared it to records of lightning strikes. Researchers say the algorithm was then able to learn the conditions under which lightning happens.

“Once trained, the system made predictions that proved correct almost 80 percent of the time,” the Swiss Federal Institute of Technology said in a statement. “It can now be used anywhere.”

Amirhossein Mostajabi, a PhD student at the institute, said current systems for gathering such data are slow and complex and require costly collection equipment like radar or satellites. “Our method uses data that can be obtained from any weather station,” he said. “This will improve data collection in very remote areas not covered by radar and satellite or in places where communication systems have been cut,” he added.

The researchers plan to keep developing the technology in partnership with a European effort that aims to create a lightning protection system. Scientists working on the Paris-based project are experimenting with a laser technology that could someday control lightning activity. The idea is that powerful, ground-based lasers can be positioned in the sky to direct energy from lightning.

1.What does Paragraph 2 mainly focus on?

A.The cause of lightning. B.The forming process of lighnting.

C.The destruction of lightning. D.The difficulty to count the deaths.

2.Which is the correct order of how the system works?

① develop a prediction model.

② learn to recognize weather conditions.

③ collect related data.

④ input the data onto the computer.

⑤ make predictions.

A.①→②→③→④→⑤ B.③→④→①→②→⑤

C.①→②→④→③→⑤ D.③→①→②→⑤→④

3.What’s the Swiss Federal Institute of Technology’s attitude toward the system?

A.Satisfied. B.Doubtful.

C.Negative. D.Neutral.

4.The advantage of the new system for collecting data lies in its     .

A.accuracy B.efficiency

C.wide coverage D.reliability

5.What does the Paris-based project aim to do?

A.Identify lighting. B.Predict lighting.

C.Stop lighting. D.Control lighting.

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