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二、风暴追逐者的工作启示我们，知识就是力量。请先阅读下面短文，掌握其大意，然后根据短文内容从下面方框内的七个选项中选择五个还原到文中，使短文意思通顺、结构完整。一空一句。
Natural disasters can cause a lot of people to get hurt or die and destroy many buildings. It's really hard to stop natural disasters from happening. 1.
Some developed countries, like Japan and the United States, have strong buildings that don't fall down easily during earthquakes. They also have special safe shelters (庇护所) called storm shelters. 2. The Thames Barrier in the UK was built to protect London from flooding. However, this type of preparation is less common in developing countries because it can be very expensive.
3. But we can try to stop other disasters. For example, protecting the environment can help prevent some natural disasters like avalanches (雪崩) and landslides. Trees on hills help hold snow and soil in place. When too many trees are cut down, avalanches and landslides are more likely to happen.
Early warning systems can pick up signs that show a natural disaster is about to happen. 4. Flood and severe weather warning messages are often broadcast on television, radio, and the internet. People are also taught how to prepare when a disaster hits, such as keeping a supply of food and water nearby.
Organizations such as the Red Cross help people in disaster-hit areas. 5. They also help people rebuild their lives if they need it.
A. Going out at this time is dangerous.
B. People can hide there during big storms.
C. You should get out of the area as quickly as possible.
D. But we can do something to reduce their harmful impacts (影响).
E. The systems can then send a warning message to people.
F. We can't stop earthquakes because they happen deep inside the earth.
G. They set up shelters for people to stay in, and give them food and water.
Natural disasters can cause a lot of people to get hurt or die and destroy many buildings. It's really hard to stop natural disasters from happening. 1.
Some developed countries, like Japan and the United States, have strong buildings that don't fall down easily during earthquakes. They also have special safe shelters (庇护所) called storm shelters. 2. The Thames Barrier in the UK was built to protect London from flooding. However, this type of preparation is less common in developing countries because it can be very expensive.
3. But we can try to stop other disasters. For example, protecting the environment can help prevent some natural disasters like avalanches (雪崩) and landslides. Trees on hills help hold snow and soil in place. When too many trees are cut down, avalanches and landslides are more likely to happen.
Early warning systems can pick up signs that show a natural disaster is about to happen. 4. Flood and severe weather warning messages are often broadcast on television, radio, and the internet. People are also taught how to prepare when a disaster hits, such as keeping a supply of food and water nearby.
Organizations such as the Red Cross help people in disaster-hit areas. 5. They also help people rebuild their lives if they need it.
A. Going out at this time is dangerous.
B. People can hide there during big storms.
C. You should get out of the area as quickly as possible.
D. But we can do something to reduce their harmful impacts (影响).
E. The systems can then send a warning message to people.
F. We can't stop earthquakes because they happen deep inside the earth.
G. They set up shelters for people to stay in, and give them food and water.
答案
1. D
2. B
3. F
4. E
5. G
2. B
3. F
4. E
5. G
三、从依靠勇士到全民普及防灾知识，再到利用人工智能进行精准预测，我们应对灾害的技术和手段正在快速发
展。请阅读下面短文，根据短文内容从每小题所给的 A、B、C、D 四个选项中选出最佳选项。
On 9 October 2024, Hurricane Milton became a Category 5 (五级) hurricane that hit the United States. Big storms like this are happening more often and are getting stronger. So meteorologists (气象学家) are working hard to predict them. AI is playing an important role in such work.
For years, meteorologists have used computers to make storm models, relying on data (数据) from planes and satellites (人造卫星). These traditional models would take hours to make predictions. But AI models use lots of data from past storms to find patterns (模式) that most humans can't work out, and they can do this very quickly. This year, AI models have successfully made accurate (精确的) predictions in just seconds, sometimes even days before the storms happened.
One AI program called GraphCast predicted that Hurricane Beryl would hit Texas on 8 July 2024, while traditional models were not sure if it would hit Mexico or Texas. GraphCast's prediction was a week earlier and highly accurate, and the team behind it won an engineering prize.
In September, another AI program called AIFS predicted the path (路径) of Hurricane Francine before it hit Louisiana. Because it was so accurate, Matt Lanza, a meteorologist in Houston, Texas, felt confident about telling people in Texas that the storm wouldn't be a problem for them. "It was really amazing," Lanza said.
Even though AI is helpful and has achieved significant success, it's not perfect. Lanza said that AI models have trouble predicting how strong a storm will be and how much rain it will bring. That's why meteorologists need to use AI along with other tools. "We don't just let AI make the forecasts," he added.
1. How does the writer start the passage? ()
A. By listing numbers.
B. By asking questions.
C. By giving an example.
D. By telling the differences.
2. How will AI be used in weather forecasts in the future? ()
A. It won't get any better than it is now.
B. It will only be used for predicting hurricanes.
C. It will do all the work and replace meteorologists.
D. It will be more accurate, but will still need help from humans.
展。请阅读下面短文，根据短文内容从每小题所给的 A、B、C、D 四个选项中选出最佳选项。
On 9 October 2024, Hurricane Milton became a Category 5 (五级) hurricane that hit the United States. Big storms like this are happening more often and are getting stronger. So meteorologists (气象学家) are working hard to predict them. AI is playing an important role in such work.
For years, meteorologists have used computers to make storm models, relying on data (数据) from planes and satellites (人造卫星). These traditional models would take hours to make predictions. But AI models use lots of data from past storms to find patterns (模式) that most humans can't work out, and they can do this very quickly. This year, AI models have successfully made accurate (精确的) predictions in just seconds, sometimes even days before the storms happened.
One AI program called GraphCast predicted that Hurricane Beryl would hit Texas on 8 July 2024, while traditional models were not sure if it would hit Mexico or Texas. GraphCast's prediction was a week earlier and highly accurate, and the team behind it won an engineering prize.
In September, another AI program called AIFS predicted the path (路径) of Hurricane Francine before it hit Louisiana. Because it was so accurate, Matt Lanza, a meteorologist in Houston, Texas, felt confident about telling people in Texas that the storm wouldn't be a problem for them. "It was really amazing," Lanza said.
Even though AI is helpful and has achieved significant success, it's not perfect. Lanza said that AI models have trouble predicting how strong a storm will be and how much rain it will bring. That's why meteorologists need to use AI along with other tools. "We don't just let AI make the forecasts," he added.
1. How does the writer start the passage? ()
A. By listing numbers.
B. By asking questions.
C. By giving an example.
D. By telling the differences.
2. How will AI be used in weather forecasts in the future? ()
A. It won't get any better than it is now.
B. It will only be used for predicting hurricanes.
C. It will do all the work and replace meteorologists.
D. It will be more accurate, but will still need help from humans.
答案
1. C
2. D
2. D
