PEMODELAN SPASIAL BANJIR LUAPAN SUNGAI MENGGUNAKAN SISTEM INFORMASI GEOGRAFIS DAN PENGINDERAAN JAUH DI DAS BODRI PROVINSI JAWA TENGAH
| Main Authors: | , NUGRAHA SAPUTRO, , Dr. R. Suharyadi, M.Sc. |
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| Format: | Thesis NonPeerReviewed |
| Terbitan: |
[Yogyakarta] : Universitas Gadjah Mada
, 2013
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| Subjects: | |
| Online Access: |
https://repository.ugm.ac.id/124982/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=65146 |
Daftar Isi:
- Flood studies was growing along with the development of science and technology. It had a positive impact on the development of a method for calculating the flow of data and also a growing number of software that can be used to process spatial data. Availability of remote sensing data and Geographic Information System technology, more further to facilitate the work during the compilation of a prediction model flood-prone areas, thus reducing field work to obtain the data. This study was focused to develop flood models Bodri River in Kendal by using remote sensing data and GIS techniques. Flood inundation models performed using HEC RAS software with unsteady flow models and visualization of potentially inundated areas, performed by using ARC GIS software. Parameters to create a model are the flow of data, the value of Manning coefficient, and the geometry of the river. The use of ALOS AVNIR-2 imagery (recorded on August 22, 2009 and has conducted field checks on December 1 to 4 July 2013) and DEM data can be used to obtain the data physical watershed parameters, that can used to obtain the data stream and data stream geometry. Manning coefficient value is determined based on land use information derived from remote sensing imagery. The results showed that the magnitude of the flood discharge when 5-year return period is 682.81 m3/s and a maximum flood discharge when the 10-year return period is 1040.52 m3/s. Inundation scenarios when the 5-year return period indicate that the predicted floodwaters swept 25 villages. Meanwhile the inundation scenarios when the 10-year return period indicate that the predicted floodwaters swept 30 villages.