Total Complexity | 4 |
Total Lines | 38 |
Duplicated Lines | 0 % |
Changes | 0 |
1 | import obspy |
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2 | import numpy as np |
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3 | from rsudp.client import Client |
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4 | |||
5 | class PGVAlert: |
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6 | def __init__(self, threshold): |
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7 | self.threshold = threshold # Richter magnitude threshold |
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8 | |||
9 | def process(self, data): |
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10 | # Create a Stream object from the incoming data |
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11 | st = obspy.Stream(obspy.Trace(data)) |
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12 | # Remove mean and linear trends |
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13 | st.detrend("demean") |
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14 | st.detrend("linear") |
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15 | # Apply bandpass filter to isolate frequencies of interest |
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16 | st.filter("bandpass", freqmin=0.1, freqmax=20.0) |
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17 | # Integrate to convert displacement to velocity |
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18 | st.integrate() |
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19 | # Find Peak Ground Velocity (PGV) |
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20 | pgv = max(abs(st[0].data)) |
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21 | # Convert PGV from m/s to cm/s |
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22 | pgv_cm_s = pgv * 100 |
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23 | # Estimate Richter magnitude using the empirical relationship |
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24 | magnitude = np.log10(pgv_cm_s) + 2.4 |
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25 | |||
26 | # Trigger alert if magnitude exceeds threshold |
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27 | if magnitude >= self.threshold: |
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28 | self.trigger_alert(magnitude) |
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29 | |||
30 | def trigger_alert(self, magnitude): |
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31 | print(f"Earthquake detected! Estimated Richter Magnitude: {magnitude}") |
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32 | |||
33 | # Initialize and start the client with the custom alert |
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34 | client = Client() |
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35 | alert = PGVAlert(threshold=4.0) |
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36 | client.add_listener(alert.process) |
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37 | client.run() |
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38 |