Estimating Yearly Accumulated Rainfall in Batangas City: An Analysis Through Modeling and Simulation

This research investigates heavy rainfall dynamics in Batangas City, employing the trapezoidal rule and quadratic regression for cumulative rainfall estimation and curve fitting. Utilizing multi-year datasets sourced from the Weather and Climate website, the study not only addresses immediate impact...

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Veröffentlicht in:2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) S. 847 - 851
Hauptverfasser: Siman, Bea Jeanette L., Maligaya, Krisha Mari Faye C., Convento, Irrish Shane E., Antonio, Dia Valora C., De Chavez, John Kervin I., Cay, Rae Christian Y., Caguicla, John Jerick F., Gubot, Ephraim, Dolor, Joss Marron I., Lara, James Darrel M., Magon, Selverino A.
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 28.01.2024
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Abstract This research investigates heavy rainfall dynamics in Batangas City, employing the trapezoidal rule and quadratic regression for cumulative rainfall estimation and curve fitting. Utilizing multi-year datasets sourced from the Weather and Climate website, the study not only addresses immediate impacts but also discerns long-term trends, contributing vital insights into potential indicators of climate change. The Trapezoidal Rule application reveals integral approximations, showcasing variations and trends in rainfall datasets from 2018 to 2020. Visual representations and quadratic regression aid in curve fitting, enhancing the study's precision. The development of a user-friendly Python program with a graphical interface ensures accessibility, facilitating further exploration by researchers and stakeholders. In conclusion, this research not only answers the immediate research question but significantly contributes to climate science, fostering resilience and adaptive strategies for communities facing the challenges posed by heavy rainfall events.
AbstractList This research investigates heavy rainfall dynamics in Batangas City, employing the trapezoidal rule and quadratic regression for cumulative rainfall estimation and curve fitting. Utilizing multi-year datasets sourced from the Weather and Climate website, the study not only addresses immediate impacts but also discerns long-term trends, contributing vital insights into potential indicators of climate change. The Trapezoidal Rule application reveals integral approximations, showcasing variations and trends in rainfall datasets from 2018 to 2020. Visual representations and quadratic regression aid in curve fitting, enhancing the study's precision. The development of a user-friendly Python program with a graphical interface ensures accessibility, facilitating further exploration by researchers and stakeholders. In conclusion, this research not only answers the immediate research question but significantly contributes to climate science, fostering resilience and adaptive strategies for communities facing the challenges posed by heavy rainfall events.
Author Antonio, Dia Valora C.
De Chavez, John Kervin I.
Maligaya, Krisha Mari Faye C.
Dolor, Joss Marron I.
Siman, Bea Jeanette L.
Convento, Irrish Shane E.
Lara, James Darrel M.
Gubot, Ephraim
Cay, Rae Christian Y.
Magon, Selverino A.
Caguicla, John Jerick F.
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  givenname: Bea Jeanette L.
  surname: Siman
  fullname: Siman, Bea Jeanette L.
  email: beajeanettesiman122@gmail.com
  organization: Batangas State University - The National Engineering University,Department of Electronics Engineering,Batangas,Philippines
– sequence: 2
  givenname: Krisha Mari Faye C.
  surname: Maligaya
  fullname: Maligaya, Krisha Mari Faye C.
  organization: Batangas State University - The National Engineering University,Department of Electronics Engineering,Batangas,Philippines
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  givenname: Irrish Shane E.
  surname: Convento
  fullname: Convento, Irrish Shane E.
  organization: Batangas State University - The National Engineering University,Department of Electronics Engineering,Batangas,Philippines
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  givenname: Dia Valora C.
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  fullname: Antonio, Dia Valora C.
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  givenname: John Kervin I.
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  fullname: De Chavez, John Kervin I.
  organization: Batangas State University - The National Engineering University,Department of Electronics Engineering,Batangas,Philippines
– sequence: 6
  givenname: Rae Christian Y.
  surname: Cay
  fullname: Cay, Rae Christian Y.
  organization: Batangas State University - The National Engineering University,Department of Electronics Engineering,Batangas,Philippines
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  givenname: John Jerick F.
  surname: Caguicla
  fullname: Caguicla, John Jerick F.
  organization: Batangas State University - The National Engineering University,Department of Electronics Engineering,Batangas,Philippines
– sequence: 8
  givenname: Ephraim
  surname: Gubot
  fullname: Gubot, Ephraim
  organization: Batangas State University - The National Engineering University,Department of Electronics Engineering,Batangas,Philippines
– sequence: 9
  givenname: Joss Marron I.
  surname: Dolor
  fullname: Dolor, Joss Marron I.
  organization: Batangas State University - The National Engineering University,Department of Electronics Engineering,Batangas,Philippines
– sequence: 10
  givenname: James Darrel M.
  surname: Lara
  fullname: Lara, James Darrel M.
  organization: Batangas State University - The National Engineering University,Department of Electronics Engineering,Batangas,Philippines
– sequence: 11
  givenname: Selverino A.
  surname: Magon
  fullname: Magon, Selverino A.
  organization: Batangas State University - The National Engineering University,Department of Electronics Engineering,Batangas,Philippines
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Snippet This research investigates heavy rainfall dynamics in Batangas City, employing the trapezoidal rule and quadratic regression for cumulative rainfall estimation...
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SubjectTerms accumulated rainfall
Curve fitting
Estimation
Monitoring
numerical methods
quadratic regression
Rain
rainfall estimation
Stakeholders
trapezoidal rule
Urban areas
Title Estimating Yearly Accumulated Rainfall in Batangas City: An Analysis Through Modeling and Simulation
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