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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM26201

Analysis of Numerical Integration Methods for Estimating Pond Area: A Case Study of Kanuru Pond

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM26201

Volume:

7 |

10 |

Oct 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

M

M.Dhanalakshmi

KBP

K. Bhanu Priya

J

Jyothi.G

V

V.Gayatri

KS

K.Binduhu Sree

PNS

P.Bindu Naga Sri

MNS

M. Naga Sravani

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Abstract

This study presents a comprehensive evaluation of numerical integration methods applied to estimate the area of Kanuru Pond, which spans 216 meters in width. Four distinct integration techniques, including the Trapezoidal Rule, Simpson’s 1/3 Rule, Simpson’s 3/8 Rule, and Weddle’s Rule, were employed with varying segment counts. The results were compared against the exact area value obtained from a GPS Area Calculator application. Findings indicate that among the methods studied, Simpson’s 3/8 Rule consistently demonstrated rapid convergence when the subdivision count was even, yielding highly accurate approximations closely aligned with the exact area. This research highlights the effectiveness of Simpson’s 3/8 Rule in solving definite integral problems and emphasizes its suitability for estimating irregularly shaped areas, such as Kanuru Pond. These insights contribute to the broader understanding of numerical integration methods and their practical applications in geospatial analysis.

KEYWORDS

Area Numerical Integration Methods GPS Calculator Convergence.

Cite This Article

M.Dhanalakshmi, K. Bhanu Priya, Jyothi.G, V.Gayatri, K.Binduhu Sree, P.Bindu Naga Sri, M. Naga Sravani, "Analysis of Numerical Integration Methods for Estimating Pond Area: A Case Study of Kanuru Pond," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 10, Oct 2023.

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Publication Date

10/28/2023

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Double-Blind Peer Review

Review Rounds: 2

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