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Related Concept Videos

Estimation of the Physical Quantities01:05

Estimation of the Physical Quantities

On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
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To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
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Agarose-based Tissue Mimicking Optical Phantoms for Diffuse Reflectance Spectroscopy
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Published on: August 22, 2018

Ocean source and optical property estimation from explicit and implicit algorithms.

Z Tao, N J McCormick, R Sanchez

    Applied Optics
    |October 2, 2010
    PubMed
    Summary
    This summary is machine-generated.

    This study develops algorithms to estimate ocean optical properties and light sources from in situ measurements. It provides a new method for understanding underwater light dynamics and biogeochemical processes.

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    Area of Science:

    • Ocean optics
    • Radiative transfer theory
    • Biogeochemical modeling

    Background:

    • Accurate estimation of ocean optical properties is crucial for understanding light propagation and marine ecosystems.
    • Inverse problems in ocean optics are challenging due to complex interactions of light with seawater constituents.

    Purpose of the Study:

    • To develop and compare algorithms for solving the inverse problem in ocean optics.
    • To estimate spatially dependent absorption and scattering coefficients.
    • To identify and quantify inherent optical properties and sources like fluorescence and bioluminescence.

    Main Methods:

    • Utilizing new two-stream radiative-transfer equations with an asymptotic radiance approximation.
    • Developing both explicit and implicit algorithms.
    • Requiring in situ measurements of downward/upward plane and scalar irradiances.
    • A priori estimation of the volume scattering function's angular shape.

    Main Results:

    • Successful development of two distinct algorithms (explicit and implicit) for the inverse problem.
    • Demonstration of the algorithms' capability to estimate key optical parameters.
    • Numerical tests comparing the performance of the explicit and implicit methods.

    Conclusions:

    • The developed algorithms provide a robust framework for solving inverse problems in ocean optics.
    • This research advances the understanding of underwater light fields and inherent optical properties.
    • The findings have implications for remote sensing and biogeochemical studies in aquatic environments.