MPKD UGM. Publikasi hari ini disusun oleh : Dicky Frendikha Prasetya Rhama. NIM : 11/327645/PTK/08021. Sebagai Pembimbing Utama : Prof. Ir. Achmad Djunaedi, MUP., Ph.D. Judul tesis : Analisis Risiko Banjir Di Sub Daerah Aliran Sungai Godo, Kabupaten Pati, Jawa Tengah, Indonesia Menggunakan Hec-Geo Ras (Flood Risk Analysis Of Godo River Basin, Pati Regency, Central Java, Indonesia, Using Hec-Geo Ras). Kabupaten Pati merupakan daerah dataran rendah, yang teridentifikasi sebagai daerah banjir.
Pati Regency, which is dominated by lowland area, was identified as a flooding area. Almost every year flood occurs and causes economic and social loss. The location of study area was chosen at Godo river basin, located in Gabus sub district. This lowland region was indicated as the lowest in elevation, highest in rainfall and insufficient of river channel capacity in the rainy season. As a result, the potential of flood is very possible to happen.
The objectives of this research are to construct flood river modeling in Godo river basin area using GIS and others relevant software and assess flood risk based on land use characteristics surrounded the area. HEC-GeoRAS, an extension of ArcGIS is used to bridge both GIS and HEC-RAS. This is generally applied in flood modeling where external hydraulic software is to determine the
flood magnitude. GIS is used for visualization, data management and spatial analysis to determine affected area by flood. The research method is adopted by risk assessment approach that divides the flood risk into the factors of vulnerability and hazard. The vulnerability assumes as the sensitivity of land use to the flood phenomenon, which depends only on land use types. The second factor, hazard, depends only on the flow regime of the river and is independent of the land use of the flood plains.
Based on the modeling result, from the largest area that affected by flood are settlement, irrigated paddy field and dryland agriculture, respectively. These areas appear as high level of floodplain area. In addition, the result of loss economic estimation illustrates that economic loss is very significant even on the highest probability of flood recurrence interval (5-year). In conclusion, government should be handled as soon as possible for reducing to prevent more losses of social and economic. These results can be useful for government to prepare and determine reasonable mitigation strategies that appropriate with society condition.
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