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Intensity can be found by taking the energy density (energy per unit volume) at a point in space and multiplying it by the velocity at which the energy is moving. The resulting vector has the units of power divided by area (i.e., surface power density). The intensity of a wave is proportional to the square of its amplitude. For example, the intensity of an electromagnetic wave is proportional to the square of the wave's electric field amplitude.
If a point source is radiating energy in all directions (producing a spherical wave), and no energy is absorbed or scattered by the medium, then the intensity decreases in proportion to the distance from the object squared. This is an example of the inverse-square law.
For non-monochromatic waves, the intensity contributions of different spectral components can simply be added. The treatment above does not hold for arbitrary electromagnetic fields. For example, an evanescent wave may have a finite electrical amplitude while not transferring any power. The intensity should then be defined as the magnitude of the Poynting vector.[1]
For electron beams, intensity is the probability of electrons reaching some particular position on a detector (e.g. a charge-coupled device[2]) which is used to produce images that are interpreted in terms of both microstructure of inorganic or biological materials, as well as atomic scale structure.[3] The map of the intensity of scattered electrons or x-rays as a function of direction is also extensively used in crystallography.[3][4]
In photometry and radiometry intensity has a different meaning: it is the luminous or radiant power per unit solid angle. This can cause confusion in optics, where intensity can mean any of radiant intensity, luminous intensity or irradiance, depending on the background of the person using the term. Radiance is also sometimes called intensity, especially by astronomers and astrophysicists, and in heat transfer.
Head Fire Intensity (HFI) is the predicted intensity, or energy output, of the fire at the front or head of the fire. It has become one of the standard gauges by which fire managers estimate the difficulty of controlling a fire and select appropriate suppression methods. It is measured in kilowatts per metre of fire front and is based on the Rate of Spread and the Total Fuel Consumption.
This ScienceBrief presents a summary of the state of the science on tropical cyclones (tropical storms, hurricanes, and typhoons) and climate change. The authors assessed more than 90 peer-reviewed scientific articles, with a focus on articles describing observations of, or projected future changes to, the frequency and intensity of tropical cyclones (TCs) globally or in key regions, as well as changes in tropical cyclone-related rainfall and storm surge.
Warming of the surface ocean from anthropogenic (human-induced) climate change is likely fueling more powerful TCs. The destructive power of individual TCs through flooding is amplified by rising sea level, which very likely has a substantial contribution at the global scale from anthropogenic climate change. In addition, TC precipitation rates are projected to increase due to enhanced atmospheric moisture associated with anthropogenic global warming.
Flooded neighborhoods in Port Arthur, TX, on August 31, 2017, following heavy rainfall from Hurricane Harvey. Several studies concluded that human-caused warming contributed to Harvey's epic rainfall. U.S. Air National Guard photo by Staff Sgt. Daniel J. Martinez.
The proportion of severe TCs (category 4 & 5) has increased, possibly due to anthropogenic climate change. This proportion of intense TCs is projected to increase further, bringing a greater proportion of storms having more damaging wind speeds, higher storm surges, and more extreme rainfall rates. Most climate model studies project a corresponding reduction in the proportion of low-intensity cyclones, so the total number of TCs each year is projected to decrease or remain approximately the same.
The latitude where tropical cyclones reach their peak strength has shifted farther north of the equator in the Northern Hemisphere (left, gray shading shows range of uncertainty) and farther south in the Southern Hemisphere (right). NOAA Climate.gov image, based on data from Jim Kossin. Full story.
Additional changes such as the poleward migration of the latitude of maximum intensity, increasing rates of rapid intensification, and a slowing of the forward motion of TCs have been observed in places, and these may be climate change signals emerging from natural variability. While there are challenges in attributing these past observed changes to anthropogenic forcing, models project that with global warming, some regions will experience increases in rapid intensification, slowing of the forward motion of TCs, or a poleward migration of the latitude of maximum intensity, in coming decades.
Hello folks,
I am looking for a way to estimate the mean intensity of each spot from every individual track identified with Trackmate. Is this possible?
Any tips would be appreciated.
Thanks!
Praveen
I use this all the time. You need to install an extra jar and you can then filter on and record intensity in multiple channels. See:
ImageJ TrackMatePlease note that TrackMate is available through Fiji, and is based on a publication. If you use it successfully for your research please be so kind to cite our work:
Using Trackmate, I am working on measuring mean intensity of vesicles from each track. I am aware that Trackmate calculates mean intensity of each track using physical radius, R. But I want to estimate mean intensity based on estimated diameter which is calculated from contrast difference. To do this, I am now trying to write a script in MATLAB or Python. I was wondering if I can edit the Trackmate script to do this task or any other API would do. Any comments or suggestions would be helpful!
The effect of an earthquake on the Earth's surface is called the intensity. The intensity scale consists of a series of certain key responses such as people awakening, movement of furniture, damage to chimneys, and finally - total destruction. Although numerousintensity scales have been developed over the last several hundred years to evaluate the effects of earthquakes, the one currently used in the United States is the Modified Mercalli (MM) Intensity Scale. It was developed in 1931 by the American seismologists Harry Wood and Frank Neumann. This scale, composed of increasing levels of intensity that range from imperceptible shaking to catastrophic destruction, is designated by Roman numerals. It does not have a mathematical basis; instead it is an arbitrary ranking based on observed effects.
The Modified Mercalli Intensity value assigned to a specific site after an earthquake has a more meaningful measure of severity to the nonscientist than the magnitude because intensity refers to the effects actually experienced at that place.
The lower numbers of the intensity scale generally deal with the manner in which the earthquake is felt by people. The higher numbers of the scale are based on observed structural damage. Structural engineers usually contribute information for assigning intensity values of VIII or above.
The intensity of an earthquake at a location is a number that characterizes the severity of ground shaking at that location by considering the effects ofthe shaking on people, on manmade structures, and on the landscape.
Intensities assigned by the U. S. Geological Survey and (prior to 1973) by agencies in the U. S. Department of Commerce have for many decades been based on the Modified Mercalli Intensity Scale of 1931 (Wood and Neumann, 1931), which we usually refer to simply as the "Modified Mercalli" or "MM" scale. The scale lists criteria that permit the seismologist to represent the severity of ground shaking in a community or part of a community by a number. Experience with the MM scale in the decades since 1931 has shown that some criteria are more reliable than others as indicators of the level of ground shaking. Moreover, construction methods have changed appreciably since the scale was introduced. Assigning of MM intensity values therefore involves use of the original criteria of Wood and Neumann (1931) with amendments and modifications that have been developed in the decades since 1931.
The Modified Mercalli scale is given as originally abridged by Wood and Neumann (1931) ... the unabridged scale is reproduced in Stover and Coffman (1993). ... Since 1931 ithas become clear that many phenomena that Wood and Neumann (1931) originally used as criteria to define the highest Modified Mercalli intensities (X and above) are related less to the level of ground shaking than to the presence of ground conditions susceptible to spectacular failure or to the ease with which seismic faulting of different style and depth can propagate to the ground surface. Criteria based on such phenomena are downweighted now in assigning of USGS intensities (Stover and Coffman, 1993).
On this page: Oil and natural gas methane intensity verification protocol New facility intensity verification requirements Greenhouse gas intensity verification rule How does this affect me and my family? Contact us
This protocol provides instructions for Colorado upstream segment (production and pre-production) oil and gas owners or operators. The protocol focuses on the verification and reporting of methane emissions and calculated greenhouse gas intensities as required by Regulation No. 7, Part B, Sections VIII.F. and VIII.G.
All upstream segment owners or operators in Colorado, regardless of size, must participate in this program. They must also adhere to the instructions and requirements in the protocol.
Further, the protocol defines how the division monitors methane emissions independently, how the division generates state default factors, and how the division reviews and approves operator-specific verification programs. The division will review the protocol annually. Updates will be published on this web page.
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