kmiainfo: A new study reveals a way to predict tsunamis before they occur A new study reveals a way to predict tsunamis before they occur

A new study reveals a way to predict tsunamis before they occur

For her famous perfumes Chanel buys more jasmine fields  Famous French fashion and beauty company Chanel is buying more land in southern France to supply jasmine and other flowers, fearing that the flower crops used to make its best-selling fragrances will disappear. These flowers are hand-harvested in a delicate annual ritual.  The luxury goods company said it had bought up to 100,000 square meters of land to add to the land it is using in partnership with a local company near the town of Grasse, famous for its surrounding flower fields.  On a sunny morning at the end of August, before temperatures reached a peak in nearby Pegomas, dozens of workers were busy harvesting this year's crop of jasmine, the main ingredient in the 100-year-old Chanel fragrance created by the late designer Coco Chanel.  The jasmine planted in Grasse has a distinctive aroma, and the area became a home for flowers and fragrance in the seventeenth century when workers in leather tanners began to perfume the leather used in their work.     A new study reveals a way to predict tsunamis before they occur  Researchers from Kyoto University in Japan have shown that tsunamis can be predicted even before sea level rises, by studying the magnetic fields created by these massive bursts of waves.  And the study , published in the Journal of Geophysical Research: Solid Earth on October 18, stated that monitoring the disturbance of this magnetic field, which may occur within only a minute or two, can save a lot. of spirits.  How can birds predict hurricanes and tsunamis? What caused the most violent earthquake and "tsunami" in the history of the Mediterranean? Scientists offer a new explanation Faults in the Earth's crust can cause tsunamis  magnetic field disturbance Many previous studies that used tsunami simulation techniques expected that magnetic field disturbance would be a useful factor in warning systems, but none of them detected this disturbance associated with sea level rise during real tsunami events.  According to a report published on the "Science Alert" website on December 23, geophysicist Jan Lin from Kyoto University in Japan said, "We were able to collect measurements of sea level change, which are consistent with our magnetic data as well as with theoretical simulation techniques. ".  The new study provides real-world evidence for using tsunami magnetic fields to predict tsunami height using data from two real events: the 2009 Samoa tsunami in the South Pacific, and the 2010 Chilean tsunami.  The study showed that the magnetic field resulting from the tsunami carrier waves arrives before the waves themselves, and that this field can be used to predict the height of the wave. The researchers found that the time at which the magnetic field can be detected depends on the depth of the water, as the early arrival time was approximately one minute before the sea level change at a depth of 4800 metres.  The necessity of building marine monitoring stations The researchers focused on simultaneous measurements of sea level change from seafloor pressure data and magnetic fields during the two tsunamis, and found that the dependence on the initial arrival time of the magnetic field, similar to the onset of the seismic wave, acted as an early warning of tsunami waves, as the magnetic field generated by the tsunami So sensitive that even a wave height of a few centimeters can be detected.  One of the shortcomings lies in the limited number of monitoring stations dedicated to recording this type of magnetic field data, the study stated - according to the press release published on the "Advancing Earth and Space Science" website. Moreover, readings are usually only recorded in deep sea environments, rather than coastal environments which are expected to be more useful in monitoring magnetic field disturbance.  Lin and his colleagues thus provided a new tool in planning to reduce the damage caused by natural disasters, particularly tsunamis, which cause mass beach devastation without warning.  Thus, magnetic field data can be integrated into future tsunami prediction and warning systems, giving vulnerable communities more time to prepare and take precautions to minimize losses.

For her famous perfumes Chanel buys more jasmine fields


Famous French fashion and beauty company Chanel is buying more land in southern France to supply jasmine and other flowers, fearing that the flower crops used to make its best-selling fragrances will disappear.
These flowers are hand-harvested in a delicate annual ritual.

The luxury goods company said it had bought up to 100,000 square meters of land to add to the land it is using in partnership with a local company near the town of Grasse, famous for its surrounding flower fields.

On a sunny morning at the end of August, before temperatures reached a peak in nearby Pegomas, dozens of workers were busy harvesting this year's crop of jasmine, the main ingredient in the 100-year-old Chanel fragrance created by the late designer Coco Chanel.

The jasmine planted in Grasse has a distinctive aroma, and the area became a home for flowers and fragrance in the seventeenth century when workers in leather tanners began to perfume the leather used in their work.

A new study reveals a way to predict tsunamis before they occur


Researchers from Kyoto University in Japan have shown that tsunamis can be predicted even before sea level rises, by studying the magnetic fields created by these massive bursts of waves.

And the study , published in the Journal of Geophysical Research: Solid Earth on October 18, stated that monitoring the disturbance of this magnetic field, which may occur within only a minute or two, can save a lot. of spirits.

How can birds predict hurricanes and tsunamis?
What caused the most violent earthquake and "tsunami" in the history of the Mediterranean? Scientists offer a new explanation
Faults in the Earth's crust can cause tsunamis

magnetic field disturbance
Many previous studies that used tsunami simulation techniques expected that magnetic field disturbance would be a useful factor in warning systems, but none of them detected this disturbance associated with sea level rise during real tsunami events.

According to a report published on the "Science Alert" website on December 23, geophysicist Jan Lin from Kyoto University in Japan said, "We were able to collect measurements of sea level change, which are consistent with our magnetic data as well as with theoretical simulation techniques. ".

The new study provides real-world evidence for using tsunami magnetic fields to predict tsunami height using data from two real events: the 2009 Samoa tsunami in the South Pacific, and the 2010 Chilean tsunami.

The study showed that the magnetic field resulting from the tsunami carrier waves arrives before the waves themselves, and that this field can be used to predict the height of the wave. The researchers found that the time at which the magnetic field can be detected depends on the depth of the water, as the early arrival time was approximately one minute before the sea level change at a depth of 4800 metres.

The necessity of building marine monitoring stations
The researchers focused on simultaneous measurements of sea level change from seafloor pressure data and magnetic fields during the two tsunamis, and found that the dependence on the initial arrival time of the magnetic field, similar to the onset of the seismic wave, acted as an early warning of tsunami waves, as the magnetic field generated by the tsunami So sensitive that even a wave height of a few centimeters can be detected.

One of the shortcomings lies in the limited number of monitoring stations dedicated to recording this type of magnetic field data, the study stated - according to the press release published on the "Advancing Earth and Space Science" website. Moreover, readings are usually only recorded in deep sea environments, rather than coastal environments which are expected to be more useful in monitoring magnetic field disturbance.

Lin and his colleagues thus provided a new tool in planning to reduce the damage caused by natural disasters, particularly tsunamis, which cause mass beach devastation without warning.

Thus, magnetic field data can be integrated into future tsunami prediction and warning systems, giving vulnerable communities more time to prepare and take precautions to minimize losses.

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