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 |
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| Hauptverfasser: | , , , , , , , , , , |
| 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. |
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| 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. |
| Author_xml | – sequence: 1 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 – sequence: 3 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 – sequence: 4 givenname: Dia Valora C. surname: Antonio fullname: Antonio, Dia Valora C. organization: Batangas State University - The National Engineering University,Department of Electronics Engineering,Batangas,Philippines – sequence: 5 givenname: John Kervin I. surname: De Chavez 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 – sequence: 7 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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