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You are tasked with developing a Python program to monitor and analyze the formation of cyclones based on user-inputted data. The program should calculate the average wind speed and atmospheric pressure over a specified time period and determine if the conditions meet the criteria for cyclone formation. Additionally, it should provide information on the severity of the cyclone based on predefined thresholds.threshold for cyclone formation :wind_speed_threshold = 50  # in km/hpressure_threshold = 1000  # in hPa Criteria for cyclone formation:"Cyclone is forming", when wind_speed greater than wind_speed_threshold and atmospheric_pressure less than pressure_threshold otherwise "No cyclone formation detected."Criteria for cyclone severity:if wind_speed less than 75, it is "Low"if wind speed is between 75 and 100, it is "Moderate"otherwise, it is "Severe"Input Format:in first line, get the number of days as integer through keyboardbased on the 'N' values, get the wind speed and atmospheric pressure as float through keyboard in separate lines.Output Format:In the first line, display the message "Cyclone is forming!" or "No cyclone formation detected." based on the condition satisfied.In the second line, display the message "Cyclone Severity: " with result either "Low" or "Moderate" or "Severe" based on the condition of Wind speed.Sample Input:26099570990Sample output:Cyclone is forming!Cyclone Severity: Low

Question

You are tasked with developing a Python program to monitor and analyze the formation of cyclones based on user-inputted data. The program should calculate the average wind speed and atmospheric pressure over a specified time period and determine if the conditions meet the criteria for cyclone formation. Additionally, it should provide information on the severity of the cyclone based on predefined thresholds.threshold for cyclone formation :wind_speed_threshold = 50  # in km/hpressure_threshold = 1000  # in hPa Criteria for cyclone formation:"Cyclone is forming", when wind_speed greater than wind_speed_threshold and atmospheric_pressure less than pressure_threshold otherwise "No cyclone formation detected."Criteria for cyclone severity:if wind_speed less than 75, it is "Low"if wind speed is between 75 and 100, it is "Moderate"otherwise, it is "Severe"Input Format:in first line, get the number of days as integer through keyboardbased on the 'N' values, get the wind speed and atmospheric pressure as float through keyboard in separate lines.Output Format:In the first line, display the message "Cyclone is forming!" or "No cyclone formation detected." based on the condition satisfied.In the second line, display the message "Cyclone Severity: " with result either "Low" or "Moderate" or "Severe" based on the condition of Wind speed.Sample Input:26099570990Sample output:Cyclone is forming!Cyclone Severity: Low

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Solution 1

To develop the Python program, follow these steps:

  1. Start by defining the wind_speed_threshold and pressure_threshold as 50 km/h and 1000 hPa, respectively.

  2. Prompt the user to enter the number of days for which they want to monitor the cyclone formation. Store this value in a variable called "num_days".

  3. Create two empty lists, one to store the wind speeds and another to store the atmospheric pressures. These lists will be used to calculate the average values later.

  4. Use a for loop to iterate "num_days" times. Inside the loop, prompt the user to enter the wind speed and atmospheric pressure for each day. Append these values to their respective lists.

  5. After the loop, calculate the average wind speed and atmospheric pressure by summing up the values in their respective lists and dividing by the number of days.

  6. Check if the average wind speed is greater than the wind_speed_threshold and the average atmospheric pressure is less than the pressure_threshold. If both conditions are true, print "Cyclone is forming!". Otherwise, print "No cyclone formation detected."

  7. Determine the cyclone severity based on the average wind speed. Use if-elif-else statements to check the conditions and print the corresponding severity message. If the average wind speed is less than 75, print "Cyclone Severity: Low". If it is between 75 and 100, print "Cyclone Severity: Moderate". Otherwise, print "Cyclone Severity: Severe".

  8. Test the program with sample input to verify that it is working correctly.

Here is the code that implements the above steps:

wind_speed_threshold = 50  # in km/h
pressure_threshold = 1000  # in hPa

num_days = int(input())

wind_speeds = []
pressures = []

for _ in range(num_days):
    wind_speed = float(input())
    pressure = float(input())
    wind_speeds.append(wind_speed)
    pressures.append(pressure)

average_wind_speed = sum(wind_speeds) / num_days
average_pressure = sum(pressures) / num_days

if average_wind_speed > wind_speed_threshold and average_pressure < pressure_threshold:
    print("Cyclone is forming!")
else:
    print("No cyclone formation detected.")

if average_wind_speed < 75:
    print("Cyclone Severity: Low")
elif 75 <= average_wind_speed <= 100:
    print("Cyclone Severity: Moderate")
else:
    print("Cyclone Severity: Severe")

This program will prompt the user for the number of days and the corresponding wind speeds and atmospheric pressures. It will then calculate the average values and determine if a cyclone is forming based on the given thresholds. Finally, it will provide the severity of the cyclone based on the average wind speed.

This problem has been solved

Solution 2

To develop the Python program, follow these steps:

  1. Start by defining the wind_speed_threshold and pressure_threshold as 50 km/h and 1000 hPa, respectively.

  2. Prompt the user to enter the number of days for which they want to monitor the cyclone formation. Store this value in a variable called "num_days".

  3. Create two empty lists, one for storing the wind speeds and another for storing the atmospheric pressures. These lists will be used to calculate the average values later.

  4. Use a for loop to iterate "num_days" times. Inside the loop, prompt the user to enter the wind speed and atmospheric pressure for each day. Append these values to their respective lists.

  5. Calculate the average wind speed and atmospheric pressure by summing up the values in their respective lists and dividing by the number of days. Store these averages in variables called "avg_wind_speed" and "avg_pressure".

  6. Use an if statement to check if the conditions for cyclone formation are met. If the average wind speed is greater than the wind_speed_threshold and the average atmospheric pressure is less than the pressure_threshold, print "Cyclone is forming!".

  7. Use another if-elif-else statement to determine the severity of the cyclone based on the average wind speed. If the average wind speed is less than 75, print "Cyclone Severity: Low". If it is between 75 and 100, print "Cyclone Severity: Moderate". Otherwise, print "Cyclone Severity: Severe".

  8. Run the program and test it with different inputs to ensure it is working correctly.

Here is the code that implements the above steps:

wind_speed_threshold = 50  # in km/h
pressure_threshold = 1000  # in hPa

num_days = int(input())

wind_speeds = []
pressures = []

for _ in range(num_days):
    wind_speed = float(input())
    pressure = float(input())
    wind_speeds.append(wind_speed)
    pressures.append(pressure)

avg_wind_speed = sum(wind_speeds) / num_days
avg_pressure = sum(pressures) / num_days

if avg_wind_speed > wind_speed_threshold and avg_pressure < pressure_threshold:
    print("Cyclone is forming!")
else:
    print("No cyclone formation detected.")

if avg_wind_speed < 75:
    print("Cyclone Severity: Low")
elif 75 <= avg_wind_speed <= 100:
    print("Cyclone Severity: Moderate")
else:
    print("Cyclone Severity: Severe")

When you run this program and provide the input, it will display the appropriate output based on the conditions and severity thresholds.

This problem has been solved

Solution 3

To develop the Python program for monitoring and analyzing cyclone formation, follow these steps:

  1. Start by defining the wind_speed_threshold and pressure_threshold as 50 km/h and 1000 hPa, respectively.

  2. Prompt the user to enter the number of days for which they want to monitor cyclone formation. Store this value in a variable called "num_days".

  3. Create an empty list called "wind_speeds" to store the wind speeds entered by the user.

  4. Create another empty list called "atmospheric_pressures" to store the atmospheric pressures entered by the user.

  5. Use a for loop to iterate "num_days" times and prompt the user to enter the wind speed and atmospheric pressure for each day. Append these values to the respective lists.

  6. Calculate the average wind speed by summing up all the values in the "wind_speeds" list and dividing it by the length of the list. Store this value in a variable called "avg_wind_speed".

  7. Calculate the average atmospheric pressure by summing up all the values in the "atmospheric_pressures" list and dividing it by the length of the list. Store this value in a variable called "avg_pressure".

  8. Use an if statement to check if the average wind speed is greater than the wind_speed_threshold and the average atmospheric pressure is less than the pressure_threshold. If both conditions are true, print "Cyclone is forming!". Otherwise, print "No cyclone formation detected."

  9. Use another if statement to determine the severity of the cyclone based on the average wind speed. If the average wind speed is less than 75, print "Cyclone Severity: Low". If it is between 75 and 100, print "Cyclone Severity: Moderate". Otherwise, print "Cyclone Severity: Severe".

  10. Test the program with sample input to ensure it is working correctly.

Here is the code that implements the above steps:

wind_speed_threshold = 50  # in km/h
pressure_threshold = 1000  # in hPa

num_days = int(input())

wind_speeds = []
atmospheric_pressures = []

for _ in range(num_days):
    wind_speed = float(input())
    atmospheric_pressure = float(input())
    wind_speeds.append(wind_speed)
    atmospheric_pressures.append(atmospheric_pressure)

avg_wind_speed = sum(wind_speeds) / len(wind_speeds)
avg_pressure = sum(atmospheric_pressures) / len(atmospheric_pressures)

if avg_wind_speed > wind_speed_threshold and avg_pressure < pressure_threshold:
    print("Cyclone is forming!")
else:
    print("No cyclone formation detected.")

if avg_wind_speed < 75:
    print("Cyclone Severity: Low")
elif 75 <= avg_wind_speed <= 100:
    print("Cyclone Severity: Moderate")
else:
    print("Cyclone Severity: Severe")

This program will prompt the user for the number of days, wind speed, and atmospheric pressure for each day. It will then calculate the average wind speed and atmospheric pressure and determine if cyclone formation is occurring. Finally, it will provide information on the severity of the cyclone based on the average wind speed.

This problem has been solved

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