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All Journal Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering)
Samsul Bachri
Universitas Papua
Agriculture, Biological Sciences & Forestry Engineering

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Zonation of Flood-Prone Areas Based on Remote Sensing Data and Hydrodynamic Models Samsul Bachri; Arif Faisol
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 12, No 2 (2023): June 2023
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v12i2.509-523

Abstract

Many watersheds in Manokwari are classified as flood-prone areas with a frequency of more than 1 flood per year. Limited rain stations and climate stations make it difficult to the zoning of flood-prone areas. This study aims to utilize remote sensing data and hydrodynamic models to zone flood-prone areas in watersheds (DAS). The research was conducted in the Wosi Watershed - Manokwari Regency - West Papua Province. The data used in this research is DEMNAS topographic data, Climate Hazards Group Infrared Precipitation with Stations (CHIRPS) data acquired 1996 – 2020, Sentinel 2 imagery acquired 21 September 2020, and river maps. The peak flow in the Wosi watershed was analyzed using rational methods and flood hazard zoning was analyzed using HEC-RAS. The research showed that the Wosi River was not able to accommodate the peak flow at various return periods, consequently, the Wosi River had the potential for flooding every year. The results of this study are relevant to actual events, therefore remote sensing data and hydrodynamic models can be used to analyze peak flow and flood hazard zoning.Keywords: Climate Hazards Group Infrared Precipitation with Stations,    DEMNAS,  HEC-RAS, Satellite Imagery, Sentinel 2.
Comparison of Several Methods for Analysis Slope Length Index Factor at A Watershed Scale Arif Faisol; Mashudi Mashudi; Samsul Bachri
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 13, No 3 (2024): September 2024
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v13i3.817-830

Abstract

Slope length and steepness factor index (LS) is one of the parameters for the Universal Soil Loss Equation (USLE) to estimate soil erosion. Currently, several methods for LS analysis, i.e. Wischmeier-Smith, Moore-Nieber, and Desmet – Govers. This study aims to compare the Wischmeier-Smith method, Moore–Nieber method, and Desmet–Govers method to analyze LS in the watershed in Manokwari – West Papua. This research consists of 4 main stages, i.e. data inventory, watershed boundary delineation, LS analysis, and LS comparison. The research showed that the Wischmeier-Smith method gave a higher LS value than the Moore – Nieber method and the Desmet – Govers method. Meanwhile, the Desmet – Gover method gives a lower average LS value than the Wischmeier-Smith method and the Moore – Nieber method. Based on the T-test, the LS produced by the Wischmeier-Smith, Moore-Nieber, and Desmet–Govers methods has significant differences in analyzing LS in the watershed in Manokwari – West Papua. Keywords: Desmet – Govers, Moore – Nieber, Universal Soil Loss Equation, Watershed, Wischmeier-Smith
Co-Authors Arif Faisol Mashudi Mashudi