{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 2004 Sumatra-Andaman Islands Earthquake \n",
"\n",
"### Isabella S. Metts - Appalachian State Department of Geological and Environmental Sciences\n",
"\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
" Off the coast of India where the Bay of Bengal meets the Andaman Sea the Indian plate and the Burma plate collide. These two plates meet and form what is called a subduction zone, where one plate is forced beneath the other. In this case the Burma plate is forced beneath the Indian Plate resulting in substantial amounts of seismic activity. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n",
"\n",
"[Reference](https://en.wikipedia.org/wiki/2004_Indian_Ocean_earthquake_and_tsunami)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
" Off of the coast of Sumatra on December 26th, 2004 a megathrust earthquake occured due to a rupture alone the Burma and Indian plate boundary. This earthquake was recorded as having a 9.1 moment magnitude and a rupture duration of around four minutes, though ground motion was reported to have been felt for more than eight minutes. The hypocenter of the earthquake was measured to be 160 kilometers off of the coast of Sumatra with a depth of 30 kilometers. Due to the epicenter being underwater a series of Tsunamis followed the earthquake, some of which were around 100 feet high. The Sumatra-Andaman earthquake and the tsunamis caused by it affected 14 different countries and caused 227,898 fatalities. Below is a figure provided by the USGS that displays ground acceleration resulting from the earthquake. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n",
"\n",
"[Reference](https://earthquake.usgs.gov/earthquakes/eventpage/official20041226005853450_30/origin/detail)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 1. The Andaman Islands 10 Years Prior to 2004 Sumatra-Andaman Earthquake.\n",
"\n",
"### In this first section of code we will assess seismic data from 10 years prior to the Earthquake."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The first thing we must do is load the necessary libraries in order for our code to properly function. "
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"# import matplotlib pyplot so that we will be able to create plots in a similar way as MATLAB\n",
"import matplotlib.pyplot as plt\n",
"# import matplotlib dates to convert UTC time to a floating point number\n",
"import matplotlib.dates as mdates\n",
"# import UTCDateTime from obspy for best precision in time variable\n",
"from obspy import UTCDateTime\n",
"# import client to access IRIS database to pull earthquake data \n",
"from obspy.clients.fdsn import Client\n",
"client=Client(\"IRIS\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Set Search Parameters Here\n",
"\n",
" Below we will set the parameters needed to request earthquake data from our catalog. We will be looking at seismic data from 10 years prior to the Sumatra-Andaman earthquake, meaning we will need to set our start date to December 26th 1994. We will also need to include the date of the earthquake as our end date, the latitude and longitude of the epicenter, and the minimum magnitude we would like to recieve data for. The last thing we need to include is the maximum radius, a variable that indicates how far from our set latitude and longtiude we are willing to get data from (in degrees). "
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"# input parameters\n",
"startt=UTCDateTime(\"1994-12-26\")\n",
"endt=UTCDateTime(\"2004-12-26\")\n",
"lat=3.316\n",
"lon=95.854\n",
"minmag=2.0\n",
"maxrad=1.0"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We will now process a request to retrieve earthquake data. The catalog request may take a few minutes to complete depending on the number of events requested."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"# retrieve earthquake data\n",
"cat=client.get_events(starttime=startt,endtime=endt,latitude=lat,longitude=lon,maxradius=maxrad,minmagnitude=minmag,catalog=\"ISC\")"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"314 Event(s) in Catalog:\n",
"2004-11-04T02:40:23.630000Z | +2.856, +96.482 | 4.9 mb\n",
"2004-10-17T12:27:18.160000Z | +3.643, +95.182 | 3.5 mb\n",
"...\n",
"1995-03-14T10:27:33.950000Z | +3.111, +95.930 | 5.1 mb\n",
"1995-02-13T04:00:43.090000Z | +3.310, +96.117 | 4.4 mb\n",
"To see all events call 'print(CatalogObject.__str__(print_all=True))'\n"
]
}
],
"source": [
"# print events retrieved\n",
"print(cat)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Next we will create two arrays containing the origin time and magnitudes of the events requested. This is done by creating a loop that goes through each event in the catalog and extracts the origin time and magnitudes and then stores each in a separate list. "
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2004-09-25 08:37:26.780000 4.8\n",
"731849.359338 4.8\n"
]
}
],
"source": [
"# create variable for array 'time'\n",
"times=[]\n",
"# create variable for array 'mags'\n",
"mags=[]\n",
"# create loop that retrieves origin time and mangitude from events in catalog and stores them in 'time' and 'mags'\n",
"for event in cat:\n",
" times.append(event.origins[0].time.datetime)\n",
" mags.append(event.magnitudes[0].mag)\n",
"# print data for fifth event in catalog\n",
"print(times[4],mags[4])\n",
"# convert dates to matplotlib number format\n",
"mtimes=mdates.date2num(times)\n",
"# print data for fifth event in catalog, now with proper date format\n",
"print(mtimes[4],mags[4])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In order to visualize the seismic activity prior to the Sumatra-Andaman earthquake we will create a plot that shows earthquake magnitudes between 1994 and 2004. "
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# assign figure 1 as the first and only plot using the subplots command\n",
"fig1=plt.subplots(1,1)\n",
"# plot mtimes vs magnitude using point symbols\n",
"plt.plot_date(mtimes,mags,marker='.')\n",
"# show the plot\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
" The plot above shows a consistent level of seismic activity over time. From 1994 to 2002 we see a similar number of earthquakes each year ranging in magnitude from 3.0 to 6.0. In 2003 we see an increase in the number of earthquakes that occured as well two earthquakes with higher than average magnitudes. The number of earthquakes in 2003 could be seen as a precursor to the 2004 earthquake. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Next we will create a histogram to compare seismicity rates in the 10 years prior to the 2004 earthquake. "
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# assign figure 2 as the first and only plot in the subplot, include axes command to edit plot type\n",
"fig2,axes=plt.subplots(1,1)\n",
"# use axes command to change plot to histogram with a bin for each month over 10 years\n",
"axes.hist(mtimes,bins=120)\n",
"# set x axis to years located from date variables\n",
"axes.xaxis.set_major_locator(mdates.YearLocator())\n",
"# format years on x axis\n",
"axes.xaxis.set_major_formatter(mdates.DateFormatter('%Y'))\n",
"# show plot\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
" The histogram above shows that in 2003 the seismicity rate dramatically increased, but dropped back towards the average levels before the 2004 earthquake. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 2. Seismic Trace Plots and Spectrograms using seismic recordings of the 2004 Sumatra-Andaman earthquake "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
" In this second section of code we will be using seismic station information to retrieve seismograms and create spectrograms. Three stations will be assessed, providing two minutes of data each. "
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"# import client to access IRIS database\n",
"from obspy.clients.fdsn import Client\n",
"# import matplotlib pyplot to plot like MATLAB\n",
"import matplotlib.pyplot as plt\n",
"# import UTCDateTime for time precision\n",
"from obspy import UTCDateTime "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### The first recording is from II.PALK.00.BHZ\n",
"\n",
" This recording center is located at 7.2728,80.7022 in Pallekele, Sri Lanka. Sri Lanka is approximately 1370 kilometers from the Andaman Islands. \n",
"\n",
"[Reference](ds.iris.edu/mda/II/PALK/?starttime=2000-08-21&endtime=2599-12-31)\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"# assign variables to access recording\n",
"channel=\"BHZ\"\n",
"location=\"00\"\n",
"network=\"II\"\n",
"station=\"PALK\"\n",
"# use client command to indicate retrieval of data from IRIS database\n",
"client=Client(\"IRIS\")\n",
"# assign start time as time of earthquake\n",
"startt=UTCDateTime(\"2004-12-26T00:58:53\")\n",
"# assign end time as two minutes after earthquake\n",
"endt=UTCDateTime(\"2004-12-26T01:00:53\")\n",
"# retrieve seismogram and store in stream, st\n",
"st=client.get_waveforms(network,station,location,channel,startt,endt)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
" We will now extract a seismic trace from the stream and plot it. "
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"# extract a trace from st\n",
"tr=st[0]"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# plot trace in a figure visible in the notebook\n",
"fig=tr.plot()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
" This next piece of code will plot a spectrogram showing the frequency of the seismic trace over 120 seconds "
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# assign parameters to make spectrogram similar in size to the seismic trace\n",
"plt.rcParams['figure.figsize']=(12,4)\n",
"# plot the spectrogram with a percent overlap of the sliding window set to 50% and a window length of 2 seconds\n",
"fig=tr.spectrogram(per_lap=.5,wlen=2,cmap='plasma')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
" The resulting spectrogram does not represent the wide range of energy on its current color scale. The next two sections of code will assess how we can improve the quality of this spectrogram. The first thing we will do is determine the limits of the color range so that we can change the maximum value. We will then change the maximum value based on our results and adjust the y axis to focus on specific frequencies. "
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(4.1725948210855189e-05, 1347.8827145966295)\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# create figure with the same parameters as spectrogram above\n",
"fig=tr.spectrogram(show=False,per_lap=.5,wlen=2,cmap='plasma')\n",
"# extract the plot axes and store as ax\n",
"ax=fig.axes[0]\n",
"# extract the image inside the plot and store as im\n",
"im=ax.images[0]\n",
"# print limits of color range in figure\n",
"print(im.get_clim())"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# create another figure \n",
"fig=tr.spectrogram(show=False,per_lap=0.5,wlen=2,cmap='plasma')\n",
"# extract plot axes and store as ax\n",
"ax=fig.axes[0]\n",
"# adjust the y axis range to show frequencies between 0 and 6\n",
"ax.set_ylim(0,6)\n",
"# extract the image inside of the plot and store as im\n",
"im=ax.images[0]\n",
"# set maximum value of color range to be 10% of amplitude variations\n",
"im.set_clim(vmax=130)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
" Now that we have this visually amplified spectrogram, frequencies are revealed that aren't present on the original seismogram. We can use a bandpass filter on the seismogram and present a seismic trace that correlates with the spectrogram and only shows frequencies between 0Hz and 1Hz. "
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# create a copy of the seismic trace that the filter can be applied to\n",
"ftr=tr.copy()\n",
"# apply the bandpass filter with a range equivalent to the revealed frequencies\n",
"ftr.filter(type='bandpass',freqmin=0.0,freqmax=1.0)\n",
"# show the plot\n",
"fig=ftr.plot()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### The second recording is from IU.CHTO.00.BHZ \n",
"\n",
" This recording center is located at 18.8141,98.9443 in Chiang Mai, Thailand. Chiang Mai is approximately 1036 kilometers from the Andaman Islands. \n",
"\n",
"[Reference](ds.iris.edu/mda/IU/CHTO/?starttime=1997-10-17&endtime=2009-09-19)"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
"# assign variables to access recording\n",
"channel=\"BHZ\"\n",
"location=\"00\"\n",
"network=\"IU\"\n",
"station=\"CHTO\"\n",
"# use client command to indicate data retrieval from IRIS database\n",
"client=Client(\"IRIS\")\n",
"# set start time to time of earthquake\n",
"startt=UTCDateTime(\"2004-12-26T00:58:53\")\n",
"# set end time to 2 minutes after earthquake\n",
"endt=UTCDateTime(\"2004-12-26T01:00:53\")\n",
"# retrieve seismogram and store it in stream, st\n",
"st=client.get_waveforms(network,station,location,channel,startt,endt)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
" We will now extract a seismic trace from the stream and plot it. "
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
"# extract trace from st\n",
"tr=st[0]"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# plot trace in a figure visible in the notebook\n",
"fig=tr.plot()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
" This next piece of code will plot a spectrogram showing the frequency of the seismic trace over 120 seconds.We will go ahead and determine the limits of the color range and adjust our spectrogram to focus on specific frequencies. "
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(2.6219691049832159e-05, 210.39912710184245)\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# assign parameters to make spectrogram a similar size as the seismic trace\n",
"plt.rcParams['figure.figsize']=(12,4)\n",
"# plot the spectrogram with a percent overlap of 50% and a window length of 2 seconds\n",
"fig=tr.spectrogram(show=False,per_lap=.5,wlen=2,cmap='plasma')\n",
"# extract plot axes and store in ax\n",
"ax=fig.axes[0]\n",
"# extract the image inside the plot and store in im\n",
"im=ax.images[0]\n",
"# print limits of color range in figure\n",
"print(im.get_clim())"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# create figure with the parameters as spectrogram above\n",
"fig=tr.spectrogram(show=False,per_lap=0.5,wlen=2,cmap='plasma')\n",
"# extract the plot axes and store as ax\n",
"ax=fig.axes[0]\n",
"# set y axis limit to focus on frequencies between 0 and 8\n",
"ax.set_ylim(0,8)\n",
"# extract the image inside the plot and store as im\n",
"im=ax.images[0]\n",
"# set maximum value of color range to be 10% of amplitude variations\n",
"im.set_clim(vmax=20)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
" Here we will apply another bandpass filter, this time limiting the frequencies shown on the seismic trace to be between 0.5Hz and 3Hz. "
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# create a copy of the seismic trace \n",
"ftr=tr.copy()\n",
"# apply bandpass filter\n",
"ftr.filter(type='bandpass',freqmin=0.5,freqmax=3)\n",
"# show plot\n",
"fig=ftr.plot()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### The third recording is from PS.PSI.00.BHZ \n",
"\n",
" This recording station is located at 2.6938,98.923698 in Parpat, Indonesia. Parpat is approximately 1223 kilometers from the Andaman Islands. This recording station is not the closest of the three to the epicenter of the 2004 earthquake, but it is the only one of the three that is on the Burma plate. Parpat, Indonesia is on the eastern side of the Burma plate where it collides with the Sunda Plate. \n",
"\n",
"[Reference](ds.iris.edu/mda/PS/PSI/?starttime=1993-03-28&endtime=2599-12-31)"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [],
"source": [
"# assign variables to access recording\n",
"channel=\"BHZ\"\n",
"location=\"--\"\n",
"network=\"PS\"\n",
"station=\"PSI\"\n",
"# use client command to indicate retrieval of data from IRIS database\n",
"client=Client(\"IRIS\")\n",
"# assign start time as time of earthquake\n",
"startt=UTCDateTime(\"2004-12-26T00:58:53\")\n",
"# assign end time as two minutes after earthquake\n",
"endt=UTCDateTime(\"2004-12-26T01:00:53\")\n",
"# retrieve seismogram and store in stream, st\n",
"st=client.get_waveforms(network,station,location,channel,startt,endt)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
" We will now extract a seismic trace from the stream and plot it. "
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [],
"source": [
"# extract trace from st\n",
"tr=st[0]"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# plot trace in a figure visible in the notebook\n",
"fig=tr.plot()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
" This next piece of code will plot a spectrogram showing the frequency of the seismic trace over 120 seconds and apply the same variations as the two previous spectrograms. "
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(0.00052201729065872685, 7921308.479203349)\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# assign parameters to make spectrogram a similar size as the seismic trace\n",
"plt.rcParams['figure.figsize']=(12,4)\n",
"# plot the spectrogram with percent overlap of 50% and a window length of 2 seconds\n",
"fig=tr.spectrogram(show=False,per_lap=.5,wlen=2,cmap='plasma')\n",
"# extract plot axes and store in ax\n",
"ax=fig.axes[0]\n",
"# extract the image inside of the plot and store in im\n",
"im=ax.images[0]\n",
"# print limits of color range in figure\n",
"print(im.get_clim())"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# create figure with same parameters as spectrogram above\n",
"fig=tr.spectrogram(show=False,per_lap=0.5,wlen=2,cmap='plasma')\n",
"# extract the plot axes and store as ax\n",
"ax=fig.axes[0]\n",
"# set y axis limits to focus on frequencies between 0 and 6\n",
"ax.set_ylim(0,6)\n",
"#extract the image from inside the plot and store in im\n",
"im=ax.images[0]\n",
"# set maximum value of color range to be 10% of amplitude variations\n",
"im.set_clim(vmax=800000)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
" Here we will apply a bandpass filter to present a seismic trace plotting frequencies between 1.5Hz and 5Hz. "
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# create copy of seismic trace\n",
"ftr=tr.copy()\n",
"# apply bandpass filter\n",
"ftr.filter(type='bandpass',freqmin=1.5,freqmax=5)\n",
"# show plot\n",
"fig=ftr.plot()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.2"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
\n",
"\n",
"[Reference](https://en.wikipedia.org/wiki/2004_Indian_Ocean_earthquake_and_tsunami)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
" Off of the coast of Sumatra on December 26th, 2004 a megathrust earthquake occured due to a rupture alone the Burma and Indian plate boundary. This earthquake was recorded as having a 9.1 moment magnitude and a rupture duration of around four minutes, though ground motion was reported to have been felt for more than eight minutes. The hypocenter of the earthquake was measured to be 160 kilometers off of the coast of Sumatra with a depth of 30 kilometers. Due to the epicenter being underwater a series of Tsunamis followed the earthquake, some of which were around 100 feet high. The Sumatra-Andaman earthquake and the tsunamis caused by it affected 14 different countries and caused 227,898 fatalities. Below is a figure provided by the USGS that displays ground acceleration resulting from the earthquake. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"
\n",
"\n",
"[Reference](https://earthquake.usgs.gov/earthquakes/eventpage/official20041226005853450_30/origin/detail)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 1. The Andaman Islands 10 Years Prior to 2004 Sumatra-Andaman Earthquake.\n",
"\n",
"### In this first section of code we will assess seismic data from 10 years prior to the Earthquake."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The first thing we must do is load the necessary libraries in order for our code to properly function. "
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"# import matplotlib pyplot so that we will be able to create plots in a similar way as MATLAB\n",
"import matplotlib.pyplot as plt\n",
"# import matplotlib dates to convert UTC time to a floating point number\n",
"import matplotlib.dates as mdates\n",
"# import UTCDateTime from obspy for best precision in time variable\n",
"from obspy import UTCDateTime\n",
"# import client to access IRIS database to pull earthquake data \n",
"from obspy.clients.fdsn import Client\n",
"client=Client(\"IRIS\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Set Search Parameters Here\n",
"\n",
" Below we will set the parameters needed to request earthquake data from our catalog. We will be looking at seismic data from 10 years prior to the Sumatra-Andaman earthquake, meaning we will need to set our start date to December 26th 1994. We will also need to include the date of the earthquake as our end date, the latitude and longitude of the epicenter, and the minimum magnitude we would like to recieve data for. The last thing we need to include is the maximum radius, a variable that indicates how far from our set latitude and longtiude we are willing to get data from (in degrees). "
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"# input parameters\n",
"startt=UTCDateTime(\"1994-12-26\")\n",
"endt=UTCDateTime(\"2004-12-26\")\n",
"lat=3.316\n",
"lon=95.854\n",
"minmag=2.0\n",
"maxrad=1.0"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We will now process a request to retrieve earthquake data. The catalog request may take a few minutes to complete depending on the number of events requested."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"# retrieve earthquake data\n",
"cat=client.get_events(starttime=startt,endtime=endt,latitude=lat,longitude=lon,maxradius=maxrad,minmagnitude=minmag,catalog=\"ISC\")"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"314 Event(s) in Catalog:\n",
"2004-11-04T02:40:23.630000Z | +2.856, +96.482 | 4.9 mb\n",
"2004-10-17T12:27:18.160000Z | +3.643, +95.182 | 3.5 mb\n",
"...\n",
"1995-03-14T10:27:33.950000Z | +3.111, +95.930 | 5.1 mb\n",
"1995-02-13T04:00:43.090000Z | +3.310, +96.117 | 4.4 mb\n",
"To see all events call 'print(CatalogObject.__str__(print_all=True))'\n"
]
}
],
"source": [
"# print events retrieved\n",
"print(cat)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Next we will create two arrays containing the origin time and magnitudes of the events requested. This is done by creating a loop that goes through each event in the catalog and extracts the origin time and magnitudes and then stores each in a separate list. "
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2004-09-25 08:37:26.780000 4.8\n",
"731849.359338 4.8\n"
]
}
],
"source": [
"# create variable for array 'time'\n",
"times=[]\n",
"# create variable for array 'mags'\n",
"mags=[]\n",
"# create loop that retrieves origin time and mangitude from events in catalog and stores them in 'time' and 'mags'\n",
"for event in cat:\n",
" times.append(event.origins[0].time.datetime)\n",
" mags.append(event.magnitudes[0].mag)\n",
"# print data for fifth event in catalog\n",
"print(times[4],mags[4])\n",
"# convert dates to matplotlib number format\n",
"mtimes=mdates.date2num(times)\n",
"# print data for fifth event in catalog, now with proper date format\n",
"print(mtimes[4],mags[4])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In order to visualize the seismic activity prior to the Sumatra-Andaman earthquake we will create a plot that shows earthquake magnitudes between 1994 and 2004. "
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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o6f0aZD41hAklJsenitygD/nIqvtR1fljo3biIsceIi+/VdLKIU3PzM7JIaXdZrqd/vgT9/5ZDS6f2tqP1knp44SSTscs62Oq6JcLVfajqvOnVTtpfeLOUzvJMm6+HGsXvEyVAJ3zdHXPcXcSwoSSPDluX/pV935Udf64qp3keaxvgs9xN0GZM8hCOXnZTzfHu9eypK3AuurYl2cO6t0mxJy98pjS9s3VuePyHK3NBJy6KnOVtFAKNOynnW332ka3+5PFQyBb4TK57eSEmK/dNQEFrO+bq3PH53PUy+Jk3ZW5SlooBRr2083x7nZ/sngIZCtcJrednBCzX1HKvrk6d3w+R40Dt4j0i8gvROTWMjvUBGWukubD5AAT7Keb493t/uTEKyBb4TK57eSEmH5BKfvm6tzx+Rw1znGLyCcBjAA4QlXP7fZY5rh7Y46b/bS1bea4m5fjNgrcIvJKAF8H8AUAnwwhcIcSFPJovdgm974EAFiyaGGuF12nbfsQpKparbBXn6o4p2x9q8LFmK7ftBPX/u+vAFX84WuPxqJDBw/MAl259AjsfWnGuP1es4htXB/WlItjX0Zx8koAfwlgUe5eOeRzUaGotIJSS9EZcb4U4qparbCbqs4pWzMHXYxp8tJlj0xOzLm/tdKhSfud9iXr5dts8DGe9Mxxi8i5AJ5W1fEej1srImMiMjY5OdntoaXzuahQVFpBqaXojDhfCnE2ZtzZVtU5ZWvmoIsxzbKKYa/2O+1L1su32eBjPDEpTr4FwHki8hiAbwJ4u4j8Z/JBqrpOVUdUdWR4eDh5t1M+FxWKSisotRSdEedLIS65j65WK+ymqnMq67iZFiLLGNMsqxj2ar/TvmS9fJsNPsaTTBNwRORMAJ9ijrtazHFXgznu3pjjzq+0mZO+Bu6ilXGb/ajrm0WoQj0meZZ8yLqvZYxNK3C/uG8GJx/7clz2tld3Xaa16BuR7SUWqjxfGjXlvejsL5v98K2A0XShHpM8yxpn3dcyxiZZnASAgT7gxj9784EZj1mWee1VbLW9jHDV50vwy7pmUXT2l81++FbAaLpQj0lav4vMkDRto6i0QuHMLObMeMxSIO1VbLW9jHBI50vwgbvo7C+b/fCtgNF0oR6TtH4XmSFp2kZRaYXCgT7MmfGYpUDaq9jaq/8+jElZgk+VAPXMcRfN7dlqq/3+MpYELTunWPVSs3kLiwDmjXnabe2pg6yFR1vHtb1YCGBOjvsPTjoK25989sBrc/uTz2Jy70tYsmhhaj+T49WpEJn2mi86LnniiM1zp1E57joqmtuz1VbyftuXvao6p1h2H4pOngHm57VNb8syZb3I/ifz2l989+sOBNis9adkXz5z7kp87tbtXVcHbL8kYdr5abp/nbZp+hwb506jctx1VDS3Z6ut5P2A3fqBDzlFnyYdmeS18+S/bfUxTbcJMVnrT8m+bNi222h1wNYlCdO2b7p/nbaZ5Tkuz18Gbg8Vze3Zaqv9/j6JfrdZP/Ahp+jTpCOTvHae/LetPqbpNiEma/0p2Zc1q5YarQ442C8dz0/T/UvbZtbnuDx/mSrxFHPc7viY4+723e083/G21cc03SbEZM0bJ/tisjog0Dn3n2X/0rbJHLcDPgSBshRdutN24K3jsppZdQqgZc5OdFUAz/u8VhBfufQILDp0MPXNxefrppooaz8aeekyHwpdZclSQOxWzLRVXHQ11j4f007FxDJX4LM5Hnm31e15aSv3HTI4v4Bqu8jtUpnF+ixqk+P2odBVliKTL8ooLroaa5+PaaciYZkr8Nkcj7zb6va8tAk4aQVUoJpJcjb4sh+1Cdw+FLrKUmTyRRnFRVdj7fMx7VQkLHMFPpvjkXdb3Z6XLFQK5hdQyyhyu+TLfjDHHQjmuP07psxxM8ddVY67NoHb5xe4b3wZqzxVfNdsr8hXd2lvXMlAlyXgpY1vtzcH023keWzZx7pxxUmfi1i+8WWs8sxUq7KPNlbkq7vkTMmbxh7HFeetOjD7sVXMU5gV9dLG98Gn9nYsgBad3ehyxnJRtchx+1zE8o0vY5VnppprRYrCTZRWnG2f/QhEQbv1f57ZpN0KoKbbyNJenu24UIvA7XMRyze+jFWemWquFSkKN1FacbY1+7FVzIv/MyrqpY1vtwKo6TaytJdnOy54mePOk0tqeq7RVh7PpW45bh/7WHaOu9N4tP/scgXFvK/D9hw3AFz9k0cxMfk8Bvv7sGCgD6evWGycm776J4/i18/9Fu9/4/E46ZhF2DixB3tfnMbPJvZg4UAfTjh6kdGqf93OrfYcfGslQ5OVC03vMxV0cdK3XFII6jZmddsfE51y/mXn/zuNtY1jkLY6IND7yjdpzx3oF/QBhcek2wqEeSfU2Dpfg14d0LdcUgjqNmZ12x8T3XL+Zeb/O421jWOQzHm3mExMSj53Zr9aGZPkfqXl4F2vsJiHd4Hbt1xSCOo2ZnXbHxPdcv5l5v87jbWNY5DMebeYTExKPnegX6yMSXK/kjn4PBNqqjhfvUuVAP7kYENStzGr2/6YqEOOO23b39m8C5N7XwKAjle+6fbc9ny5jTHpluPOO6Gm8TluIgr7javIxCrbS9ZmbatKjZuAQ1QnIRdni0ys6rTiYhljEfIYAx7muImaLuTibJGJVZ1WXCxjLEIeY4CfuIm80yp2Tc/MBlecbe97f/yJe/+sGu1Hp/0uYyxCHmOAOW4iL/mWf82COe58WJwkIi/5Fix9wuIkEXkn9IKgT1icJCInQi8I+oSBm4icaOKM2LIwVUJETqxeNoTrLx1ljtsCBm4icmb1siEGbAuYKiEiCgwDNxFRYBi4iYgCw8BNRN4Z3zGFq+54BOM7pqruipdYnCQir3CiTm/8xE1EXuFEnd56Bm4ROURE7hGRe0Vku4h81kXHiKiZOFGnN5NUyUsA3q6qz4vIIID/EZENqrqx5L4RUQNxok5vPQO3RssHPh//Ohj/s7+kIFFDcIW83mxP1KnbmBsVJ0WkH8A4gBMAXKWqm0rtFVFNsfDmXh3H3Kg4qar7VfUUAK8EcJqIrEo+RkTWisiYiIxNTk7a7idRLbDw5l4dxzzTt0pU9TcA7gBwTsp961R1RFVHhoeHbfWPqFZYeHOvjmPeM1UiIsMAplX1NyJyKICzAXy59J4R1RALb+7VccxNctxLAXw9znP3AfgvVb213G4R1RdXyHOvbmNu8q2SrQDe4KAvRERkgDMniYgCw8BNRBQYBm4iosAwcBMRBYaBm4goMBItRWJ5oyKTAHYYPnwJgGesd8L/tqtuv6ltV90+225e+6ZtL1NVo9mLpQTuLERkTFVHmtZ21e03te2q22fb1ajbvjNVQkQUGAZuIqLA+BC41zW07arbb2rbVbfPtpvXvvW2K89xExFRNj584iYioixU1eo/ANcCeBrAtrbbXg/gZwDuA/B9AEfEty8AcF18+70Azmx7zp0AHgSwJf53lOP2FyD6E+chAL8E8B4XbQNY1LbPWxB9jehKh/t9QXz7VgC3AVjieNzfH7e9HcCXDds+DtE68ffHz/t4fPsrAPwIwMPx/0Px7QLgnwA8Erd1atu2Phg//mEAH3Tc9m0AfgPgVpf7DeCU+Dhtj29/v+P2lwHYjOh83w7gMpfjHt9/BIBdAP7Z8THfj4Ov9e+ZjLuqlhK4zwBwKua+gH8O4G3xzx8G8Pn4548BuC7++ShEl0fri3+/E8BIhe1/FsDfxj/3wSCA2Wo7sc1xAGe4aBvRapFPt/YVwN8BuMLVuANYDGAngOH4vq8DOMug7aU4GAQWIXqzPTnu/+Xx7ZcjfiMA8E4AGxC9oEYBbGp74U3E/w/FPw+5aDu+7ywAfwzzwG1rv08E8Jr452MB7AZwpMP2FwBYGP/8MgCPATjW1bjH938FwHqYBW6bx/x5k2M9rw95nmSwY8sx9wX8LA7m048DcH/881UALm573O0ATot/vhM5ArfF9h8HcHgVbbfddmLcD3HRNqILQU8i+gQkAL4KYK2rfQfwRgC3t91+MYB/yXEMvovogh8PAlga37YUwIPxz1cDuKDt8Q/G918A4Oq22+c8rsy2234/E4aB23bbbbffiziQu24fB9+8uwZum20DWA3gmwAugUHgttx2rsDtKse9HcCfxD+/D9GLGIhOkPNEZEBEXoVoAI9re951IrJFRD4tIuKqfRE5Mr7/8yKyWUS+JSJHu2g78dzzAdyo8REuu21VnQbw54hSGE8i+hTxbznbztw+oj8lTxKR5SIyAOBdmD8mXYnIckTrx28CcLSq7o7vegpA6xj+DqI3xJZd8W2dbnfRdiG22haR0xB9An7UZfsicpyIbI3v/7KqPumibRHpA/APAD5l2p6ttuOfD4mv1btRRN5l2q6rwP1hAB8VkXFEf1rsi2+/FtFOjAG4EsDdiHI+AHCRqr4OwO/H/y522P4Aogsj362qpyLK//29o7bbnQ/ghpztZm5bRAYRBe43IPqTeSuAv3LVvqpOxe3fCOAuRH8yJ8ekIxF5GYBvA/iEqj7Xfl/85pf3DbARbYvIUgD/AeBDqjrrsn1VfVxVfw/ACQA+aPpByULbHwXwA1XdZdKe5baBaJr7CIALAVwpIq82ajzPx3SDPx2Wo+1P5sR9JwK4p8N9dwM4OeX2S5DhT5ii7SNKE7yAg/nu4wBsd7nviAp7D7kcd8xPVZyB6KSu6rivBfB3hm0PAvghgE+23eYkVWKj7bbfz0SGVImtthEV5zYDeG/Gc87avrfdfq1JPywd8+sRpWYeQ/RFgOcAfKmi/f530/F38olbRI6K/+8D8DeIcqcQkcNE5PD457MBzKjq/fGf0Evi2wcBnAtgm6v2NRrF7yN6EQFR0eh+F223PfUCFPu0naftJwCcHF8gGojydg84bL/9OUOIPg1dY9COIErpPKCq/9h21/cQfUsE8f/fbbv9TyUyCuBZjf7E/SGAd4jIUNz+O+LbXLSdma22RWQBgJsBfENVb6qg/VfGFyJvHfe3Igpupbetqhep6vGquhxRuuQbqnq5o/0eEpGF8TaXAHgLTONMlndXw3fgGxBVpacR/Tn8EQAfR1R5fQjAl3CwYLUc0QF6AMCPEf3ZAACHI/qmQetrYV8B0O+q/fi+ZQB+GvfhdgDHu2o7vn8CwO+6HPf4vsvi27cievNa7Lj9GxCdvPcDON+w7bci+rN0Kw5+teqdiApdtyP6etaPAbwifrwgKpA+iiifP9K2rQ8jyrU/gihl4LLtuxAVh1+Mx/CPXLQN4APxcWv/GuoprvYd0QeErYhqH1thUBC3Oe5t27wEZt8qsbXfb8bBr8TeB+Ajpq93zpwkIgoMZ04SEQWGgZuIKDAM3EREgWHgJiIKDAM3EVFgGLiJiALDwE1EFBgGbiKiwPw/9ZFvd5xVP7UAAAAASUVORK5CYII=\n",
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