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Prediction of Suspended Sediment in Batang Padang River using Probabilistic Analysis

Binti Mansor , Auni Syamimi (2018) Prediction of Suspended Sediment in Batang Padang River using Probabilistic Analysis. Universiti Teknologi PETRONAS. (Submitted)

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Suspended sediment prediction is among the most important aspect when it comes to design and operate hydraulic structures and as planning for conservative measures relating to water resources problems. In this study, five probabilistic analysis models are developed using the suspended sediment data of Sg. Batang Padang which are Normal Distribution Method, Log-Normal Distribution Method, Gumbel’s Distribution, Pearson Type 3 Distribution Method and Log-Pearson Type 3 Distribution Method. The suspended sediment data from hydrological station Sg. Batang Padang, Perak from year 1987 to 1996 are used in this study. All parameters required to complete the prediction equation and graph plotting are being done by using Microsoft Excel spreadsheet and also EasyFit software. The best fit model is determined by using Chi-Squared test and R-Squared test in this study. The result shows that Log-Pearson Type 3 is identified as the best fitted distribution compared to others in both test with the highest percentage of 97.5% in R-square test and 29.653 in Chi-square test. The equation developed from this study can be used to predict suspended sediment in Sg. Batang Padang for conservative measures or any hydrological design purposes.

Item Type: Final Year Project
Academic Subject : Academic Department - Civil Engineering - Water and environment - Environmental - Solid waste
Subject: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Engineering > Civil
Depositing User: Ahmad Suhairi Mohamed Lazim
Date Deposited: 22 Nov 2018 14:38
Last Modified: 22 Nov 2018 14:38
URI: http://utpedia.utp.edu.my/id/eprint/18110

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