.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "gallery/example_oil_entrainment_rate.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_gallery_example_oil_entrainment_rate.py>`
        to download the full example code

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_gallery_example_oil_entrainment_rate.py:


Oil entrainment rate
====================

.. GENERATED FROM PYTHON SOURCE LINES 6-11

.. code-block:: Python


    import numpy as np
    import matplotlib.pyplot as plt
    from opendrift.models.physics_methods import oil_wave_entrainment_rate_li2017








.. GENERATED FROM PYTHON SOURCE LINES 12-13

Viscosities from 0 to 20 Pa*s / kg/ms

.. GENERATED FROM PYTHON SOURCE LINES 13-18

.. code-block:: Python

    vis = np.linspace(0, 20, 100)

    colors = ['b', 'g', 'r']
    lstyles = ['-', '-.']








.. GENERATED FROM PYTHON SOURCE LINES 19-21

Calculating and plotting the entrainment rate as function of viscosity
for 3 wind speeds

.. GENERATED FROM PYTHON SOURCE LINES 21-48

.. code-block:: Python

    fig, ax = plt.subplots()
    for wind, color in zip([6, 10, 15], colors):

        # Entrainment rate from Li (2017)
        for ift, ls in zip([.003, 10], lstyles):
            r = oil_wave_entrainment_rate_li2017(
                    dynamic_viscosity=vis, oil_density=950, interfacial_tension=ift,
                    wind_speed=wind)
            # from instantaneous rate (s-1) we calculate the probability of entrainment within one hour:
            p1h = 1-np.exp(-3600*r)
            ax.plot(vis, p1h, color+ls, label='Li(2017), %s m/s wind, IFT: %s' % (wind, ift))

    plt.legend()
    ax.set_xlim(vis.min(), vis.max())
    ax.set_ylim(0, 1.05)

    # Make second x-axis showing viscosity in Centipoise
    ax2 = ax.twiny()
    x1, x2 = ax.get_xlim()
    ax2.set_xlim(1000*x1, 1000*x2)
    ax2.figure.canvas.draw()
    ax2.set_xlabel('Dynamic viscosity [Centipoise]')

    ax.set_ylabel('Fraction entrained in 1 hour')
    ax.set_xlabel('Dynamic viscosity [Pa*s] / [kg/ms]')

    plt.show()



.. image-sg:: /gallery/images/sphx_glr_example_oil_entrainment_rate_001.png
   :alt: example oil entrainment rate
   :srcset: /gallery/images/sphx_glr_example_oil_entrainment_rate_001.png
   :class: sphx-glr-single-img






.. rst-class:: sphx-glr-timing

   **Total running time of the script:** (0 minutes 0.320 seconds)


.. _sphx_glr_download_gallery_example_oil_entrainment_rate.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: example_oil_entrainment_rate.ipynb <example_oil_entrainment_rate.ipynb>`

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: example_oil_entrainment_rate.py <example_oil_entrainment_rate.py>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_