Analyzing landslides using related rates and differentiation

Mohd Zikri, Ahmad Asyran and Muhammad Ramadhan, Adam Danial and Herman, Arifah Mariana and Mohd Adzha, Alya Nurqistina and Mahat, Aishah and Ng, Set Foong (2023) Analyzing landslides using related rates and differentiation. In: Johor Innovation Invention Competition and Symposium 2023. Universiti Teknologi MARA Cawangan Johor Kampus Pasir Gudang, Universiti Teknologi MARA, Johor, pp. 81-82. ISBN 978-967-0033-17-4

Abstract

A landslide refers to the movement of a mass of soil or rocks. It is a natural disaster that can cause significant damage to human lives, infrastructure, property, and environment. To minimize the effects of landslides, it is essential to recognize the causes and create reliable warning systems. This innovation idea explores the application of related rates and differentiation in analyzing landslides. It also emphasizes how these mathematical formulas can be used to determine the rate of change associated with landslides. The aim of this innovation is to highlight the significance of mathematical equations in understanding the movement of landslides. Therefore, it is important to note that this is a simplified example and real-world landslides may require more complex mathematical models for analysis and considerations. By utilizing the simple concept of related rates, we can expand our understanding of landslides and this information can be used for management and prevention.

Metadata

Item Type: Book Section
Creators:
Creators
Email / ID Num.
Mohd Zikri, Ahmad Asyran
UNSPECIFIED
Muhammad Ramadhan, Adam Danial
UNSPECIFIED
Herman, Arifah Mariana
UNSPECIFIED
Mohd Adzha, Alya Nurqistina
UNSPECIFIED
Mahat, Aishah
252201
Ng, Set Foong
ngsetfoong061@uitm.edu.my
Subjects: Q Science > QA Mathematics > Analysis > Differential equations. Runge-Kutta formulas
Q Science > QA Mathematics > Analysis > Analytical methods used in the solution of physical problems
Divisions: Universiti Teknologi MARA, Johor > Pasir Gudang Campus > College of Computing, Informatics and Mathematics
Volume: 1
Page Range: pp. 81-82
Keywords: Related rates, Differentiation, Landslide
Date: 2023
URI: https://ir.uitm.edu.my/id/eprint/130378
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