International Journal of Empirical Research Methods

ISSN NO : 2995-6110

The International Journal of Empirical Research Methods is dedicated to promoting and advancing empirical research methodologies across various disciplines. This journal aims to provide a platform for researchers, scholars, educators, and practitioners to share insights, methodologies, and findings that contribute to the improvement of empirical research practices and the enhancement of evidence-based decision-making.

Submit Your Article Editorial Board
  • 417
    Views
  • 1
    CrossRef citations to date

Frequency Analysis Of Rainfall In Johor State Using Probability Distribution

1 Faculty Of Civil Engineering, Department Of Water And Environmental Engineering,81310 UTM Johor Bahru, Johor,Malaysia

Volume 1

Issue 2

Page: [104 - 113]

Published Online: December 25, 2023

Download Full Article ()
Creative Commons

  • Abstract

    Abstract Since The 1950s, Extreme Precipitation Frequency Has Increased And Produced More Rain In Many Parts Of The World. The Threat Of Flooding Is The Most Immediate Effect Of Heavy Rain. This Danger Is Magnified In Cities, Where Impermeable Pavements Compel Water To Flow Swiftly Into Sewer Systems. In This Study, The Extreme Value Type 1 (Gumbel), Normal, And Log-Pearson Type III Probability Distributions Have Been Utilized To Perform Flood Frequency Analysis On The Peak Annual Series Discharge Data Of 16 Stations At Johor State For The Water Years 2010 To 2020. The Predicted Design Floods For The Return Periods Of 2 Years, 5 Years, 10 Years,50 Years, 100 Years, And 1000 Years Were Obtained And Compared. Our Results Indicate That The Gumbel Type 3 Distribution Predicted Larger Discharge Values In Most Of The Stations.

    Keywords: Frequency Flood Return-Period Rainfall Gumbel Normal Log-Pearson

  • Figures

    Figure Image

  • References

      • [1]A. Z. Ismail, Z. Yusop, and Z. Yusof, “Comparison of flood distribution models for Johor river basin,” J Teknol, vol. 74, no. 11, pp. 123-128, Jun. 2015, doi: 10.11113/jt.v74.4881. h t t p s : / / d o i . o r g / 1 0 . 1 1 1 1 3 / jt.v74.4881
      • [2]B. K. Sathe, M. v Khire, and R. N. Sankhua, “Flood Frequency Analysis of Upper Krishna River Basin catchment area using Log Pearson Type III Distribution,” 2012. [Online]. Available: www.iosrjen. orgwww.iosrjen.org68|Page https://doi.org/10.9790/3021- 02816877
      • [3]C. Buonocore et al., “Science of the Total Environment Modelling the impacts of climate and land use changes on water quality in the Guadiana basin and the adjacent coastal area,” Science of the Total Environment, vol. 776, p. 146034, 2021, doi: 10.1016/j.scitotenv. 2021.146034. https://doi.org/10.1016/j.scitotenv. 2021.146034
      • [4]E. R. Crema, “Statistical Inference of Prehistoric Demography from Frequency Distributions of Radiocarbon Dates: A Review and a Guide for the Perplexed,” J Archaeol Method Theory, vol. 29, no. 4, pp. 1387-1418, Dec. 2022, doi: 10.1007/s10816-022-09559-5. https://doi.org/10.1007/s10816- 022-09559-5
      • [5]F. Policelli, A. Hubbard, H. C. Jung, B. Zaitchik, and C. Ichoku, “A predictive model for Lake Chad total surface water area using remotely sensed and modeled hydrological and meteorological parameters and multivariate regression analysis,” J Hydrol (Amst), vol. 568, pp. 1071-1080, Jan. 2019, doi: 10.1016/j.jhydrol.2018.11.037. https://doi.org/10.1016/j.jhydrol. 2018.11.037
      • [6]J. Kraus, A. Rakhmat Trihamdani, T. Kubota, H. S. Lee, and K. Kawamura, “Interaction of Singapore and Johor Bahru on Urban Climate during Monsoon Seasons.”
      • [7]L. Lin et al., “A review of remote sensing in flood assessment,” in 2016 5th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2016, Sep. 2016. doi: 10.1109/ Agro-Geoinformatics.2016.7577655. h t t p s : / / d o i . o r g / 1 0 . 1 1 0 9 / Agro-Geoinformatics.2016.7577655
      • [8]M. Farooq, M. Shafique, and M. S. Khattak, “Flood frequency analysis of river swat using Log Pearson type 3, Generalized Extreme Value, Normal, and Gumbel Max distribution methods,” Arabian Journal of Geosciences, vol. 11, no. 9, May 2018, doi: 10.1007/s12517- 018-3553-z. https://doi.org/10.1007/s12517- 018-3553-z
      • [9]M. Vernon, P. N. Halpin, and C. A. Stow, “Patterns of Watershed Urbanization and Impacts on Water Quality,” 2005.
      • [10]N. Farehah, B. Abdullah, and A. Zorin, “ASSESSMENT VARIABILITY OF ANNUAL DAILY MAXIMUM RAINFALL OF JOHOR, MALAYSIA,” 2015.
      • [11]N. Nadrah, A. Tukimat, S. Harun, and S. Shahid, “Comparison of different methods in estimating potential evapotranspiration at Muda Irrigation Scheme of Malaysia,” 2012. [Online]. Available: www.jarts.info
      • [12]Q. Yang et al., “Climate change will pose challenges to water quality management in the st . Croix River basin +,” Environmental Pollution, vol. 251, pp. 302-311, 2019, doi: 10.1016/j.en vpol.2019.04.129. h t t p s : / / d o i . o r g / 1 0 . 1 0 1 6 / j . e n - vpol.2019.04.129
      • [13]S. N. MOHAMED, I. TARMIZI, and A. KAMAL, “Non-Stationary Analysis of Extreme Rainfall in Peninsular Malaysia,” Journal of Sustainability Science and Management, 2019. [Online]. Available: https://www.researchgate.net/publication/ 334361292
      • [14]S. Rehman, M. Sayeed, U. Hasan, A. K. Rai, R. Avtar, and H. Sajjad, “Assessing flood-induced ecological vulnerability and risk using GIS-based in situ measurements in Bhagirathi sub-basin, India,” Arabian journal of geoscience, vol. 14, no. 1520, 2021, doi: 10.1007/s12517-021-07780-2/Published. https://doi.org/10.1007/s12517- 021-07780-2
      • [15]S. Richard Chikabvumbwa and D. Worku, “Rainfall frequency analysis using Gumbel distribution,” International Journal Of Creative and Innovative Research In All Studies, vol. 1, no. 1, 2017.
      • [16]Syafrina, “Rainfall analysis in the northern region of Peninsular Malaysia,” International Journal of ADVANCED AND APPLIED SCIENCES, vol. 4, no. 11, pp. 11-16, Nov. 2017, doi: 10.21833/ ijaas.2017.011.002. h t t p s : / / d o i . o r g / 1 0 . 2 1 8 3 3 / ijaas.2017.011.002
      • [17]W. H. A. Wan Deraman, N. J. Abd Mutalib, and N. Z. Mukhtar, “Determination of return period for flood frequency analysis using normal and related distributions,” in Journal of Physics: Conference Series, Sep. 2017, vol. 890, no. 1. doi: 10.1088/1742- 6596/890/1/012162. https://doi.org/10.1088/1742- 6596/890/1/012162
      • [18]Z. Duan, H. Gao, and M. Tan, “Extreme Precipitation and Floods: Monitoring, Modelling, and Forecasting,” Advances in Meteorology, vol. 2017. Hindawi Limited, 2017. doi: 10.1155/2017/9350369. https://doi. org/10.1155/2017/9350369

  • Article Metrics

    Views

    417

  • Copyright and Permissions

    At Guinness Press, authors retain the copyright for all articles published in our journals. These articles are licensed under the open-access Creative Commons CC BY 4.0 license, granting free access for reading and download. Additionally, the original published version must be appropriately cited when reusing or quoting the article. These terms ensure widespread accessibility while ensuring proper attribution to the authors.

    All content published by Guinness Press is safeguarded by international copyright and intellectual property regulations. We kindly request that you honor these protections when utilizing our materials.

    For further information, please contact us at info@guinnesspress.org.