Visualisasi 3D Genangan Banjir Berdasarkan Model Banjir Kawasan Menggunakan Data Lidar Dan Uav Foto Udara (Studi Kasus: Kawasan Jalan Raya Pandugo, Surabaya)

Hapriansyah, Sultan Alifian (2023) Visualisasi 3D Genangan Banjir Berdasarkan Model Banjir Kawasan Menggunakan Data Lidar Dan Uav Foto Udara (Studi Kasus: Kawasan Jalan Raya Pandugo, Surabaya). Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Kota Surabaya merupakan salah satu kota yang memiliki curah hujan yang tinggi dibandingkan dengan daerah lain di Indonesia, sehingga genangan air terjadi dimana-mana saat hujan deras karena tingginya endapan lumpur di saluran yang membuat air hujan tidak tertampung sehingga berakibat meluap ke jalan.
Simulasi dan prediksi dampak genangan banjir terhadap aspek fisik infrastruktur dan fasilitas publik membutuhkan representasi visual yang kuat dan informasi yang akurat dalam rangka pengambilan keputusan. Sehingga, simulasi dan pemodelan tiga dimensi (3D) paling tepat digunakan dalam manajemen resiko bencana banjir terhadap bangunan untuk menciptakan bentuk visual genangan banjir secara 3D dalam sebuah tingkat kedetailan tertentu (level of detail). Teknologi yang mampu menyediakan data tersebut adalah teknologi LiDAR dan foto udara, kedua teknologi tersebut mampu menyediakan representasi visual yang kuat dengan informasi akurat.
Dalam penelitian ini, dilakukan pemodelan tiga dimensi bangunan, terrain, jalan, dan genangan banjir dengan menggunakan data DEM LiDAR dan foto udara. Metode unsteady flow digunakan dalam pemodelan genangan banjir dengan studi kasus penelitian di Kawasan Jalan Raya Pandugo, Surabaya. Didapatkan hasil sebanyak 4.577 model bangunan 3D yang telah terbentuk. Akurasi RMSE validasi tinggi bangunan pada lima puluh sampel bangunan diperoleh nilai 0,86233 m. Dengan memasukkan beberapa parameter seperti elevasi permukaan sungai, data debit per satuan waktu, dan data elevasi medan, visualisasi genangan banjir dalam tiga dimensi dapat dilakukan. Hasilnya, 1.601 bangunan terdampak genangan banjir, meliputi 85 toko, satu masjid, tiga fasilitas kesehatan, empat sekolah, dan sisanya bangunan tempat tinggal.
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Surabaya City has excessive rainfall compared to other places in Indonesia, therefore floods occur everywhere during heavy rains due to high sediment in the channel, which prevents rainwater from being accommodated then overflowing onto the road.
To make judgments, simulation and prediction of flood impacts on physical parts of infrastructure and public facilities require strong visual representations and reliable information. Thus, three-dimensional (3D) simulation and modeling are best suited for usage in flood catastrophe risk management for structures in order to provide a visual representation of flooding in 3D at a particular level of detail. Lidar and aerial photography are capable of providing this data; both technologies can produce a good visual representation with accurate information.
Using LiDAR DEM data and aerial photographs, three-dimensional modeling of buildings, terrain, roads, and flood inundation was performed in this research. The unsteady flow method is used in flood modeling with case study in Surabaya's Pandugo Highway Area. There are 4,577 3D building models that have been created. The accuracy of building height validation on fifty samples of buildings was 0.86233 m RMSE. By entering several parameters such as river surface elevation, discharge data per unit time, and terrain elevation data, flood visualization in three dimensions is possible. According to the results, 1,601 buildings were affected by the flood inundation including 85 shops, one mosque, three health facilities, four schools, and the remaining residential buildings.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	3D, Banjir, LiDAR, Fotogrametri, DEM, Flood, LiDAR, Photogrammetry, DEM
Subjects:	G Geography. Anthropology. Recreation > G Geography (General) > G70.212 ArcGIS. Geographic information systems. G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography > GA139 Digital Elevation Model (computer program) G Geography. Anthropology. Recreation > GB Physical geography > GB1399.9 Floods
Divisions:	Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geomatics Engineering > 29101-(S2) Master Thesis
Depositing User:	Sultan Alifian Hapriansyah
Date Deposited:	05 Aug 2023 13:52
Last Modified:	05 Aug 2023 13:52
URI:	http://repository.its.ac.id/id/eprint/101900

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