Pemanfaatan Data Penginderaan Jauh dan Sistem Informasi Geografis untuk Estimasi Debit Banjir Rancangan di DAS Bogowonto
Amelia Rizki Gita Paramanandi, Dr. Sudaryatno, M.Si.
2023 | Skripsi | KARTOGRAFI DAN PENGINDRAAN JAUH
The Bogowonto watershed is one of the watersheds that is often hit by floods. Floods can disrupt community activities and result in material, social, and economic losses. Meanwhile, flooding events cannot be predicted. Therefore, flood studies are needed in the Bogowonto watershed to plan flood disaster management. The availability of flood discharge data is limited. In contrast, the availability of remote sensing data is abundant, so remote sensing applications and geographic information systems (GIS) can be used to obtain flood discharge data effectively and efficiently compared to measurements in the field.
This research aims to (1) extract flow coefficient parameters from remote sensing data and geographic information systems (2) estimate the design flood discharge in the Bogowonto watershed using the Nakayasu Synthetic Unit Hydrograph (HSS) in return periods of 2, 5, 10 and 25 years. The methods used to extract flow coefficient parameters are multispectral classification available for land cover, line density for flow density, slope for slope slope, and union of soil texture and land cover data for infiltration rate. The design flood discharge data was obtained from hydrological analysis by converting rainfall variations into flood discharge using the Nakayasu Synthetic Unit Hydrograph (HSS) method.
The results of this research show that (1) remote sensing data and geographic information systems can be used to extract flow coefficient parameters in the form of land cover, channel density, slope, and infiltration rate, and (2) the maximum design flood discharge using HSS Nakayasu in the period 2, 5, 10, and 25 yearly returns were 540.46 m3/second, 677.87 m3/second, 789.78 m3/second, and 941.57 m3/second.
Kata Kunci : Kata kunci: debit banjir rancangan, koefisien aliran, HSS Nakayasu, Sentinel-2, DEMNAS