G-Tech : Jurnal Teknologi Terapan
Vol 9 No 3 (2025): G-Tech, Vol. 9 No. 3 July 2025

Comparison of Manning's Roughness Coefficient Estimation Methods Based on Channel Geometry and Bed-Load Sediment Characteristics in the Way Tapus River

Kiranaratri, Ayudia Hardiyani (Unknown)
Maini, Miskar (Unknown)



Article Info

Publish Date
12 Jul 2025

Abstract

Natural and artificial rivers contain bed-load sediment materials with varying shapes and grain sizes influencing flow resistance, velocity, and discharge. This resistance is expressed by the Manning roughness coefficient (n), whose accurate estimation is essential for hydraulic analysis. While n is commonly obtained from Manning’s table, alternative methods based on hydraulic parameters, channel geometry, and sediment characteristics, such as the Keulegan, Mayer-Peter-Muller, Lane and Carlson, Henderson, Raudkivi, Subramanya, and Wong and Parker methods, can be applied for more site-specific estimations. This study utilized primary field data and secondary data to estimate n values using various approaches. The n values ranged from 0.096–0.148 (hydraulic parameters), 0.069–0.136 (channel geometry), and 0.009–0.018 (sediment-based methods). Error analysis comparing calculated and observed discharges showed that the channel geometry method yielded the most accurate results with an average error of 15.59%. In contrast, other methods resulted in significantly higher errors. Thus, the channel geometry approach is recommended for estimating the Manning coefficient in the Way Tapus River.

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Journal Info

Abbrev

g-tech

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Energy Engineering

Description

Jurnal G-Tech bertujuan untuk mempublikasikan hasil penelitian asli dan review hasil penelitian tentang teknologi dan terapan pada ruang lingkup keteknikan meliputi teknik mesin, teknik elektro, teknik informatika, sistem informasi, agroteknologi, ...