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dc.contributor.authorHizbaron, D.R.
dc.contributor.authorHadmoko, D.S.
dc.contributor.authorSamodra, G.
dc.contributor.authorDalimunthe, S.A.
dc.contributor.authorSartohadi, J.
dc.date.accessioned2012-04-30T07:19:37Z
dc.date.available2012-04-30T07:19:37Z
dc.date.issued2010-12
dc.identifier.citationBappeda Kabupaten Kulonprogo (2009) Rencana Tata Ruang Wilayah Kabupaten Kulonprogo. Yogyakarta: Pemerintah Kabupaten Kulonprogo. Birkmann, J., & Wisner, B. (2006) Measuring the Unmeasurable The Challenge of Vulnerabiilty. Bonn: UNU EHS. BPS (2009) Kecamatan Girimulyo dalam Angka 2009. Yogyakarta: Badan Pusat Statistik Kabupaten Kulonprogo. Cameron, E., & Peloso, G. F. (2009) Choosing a rockfall barrier with the Precautionary Principle: A Quantitative Approach. Environmental Earth Science 59 , 161 - 172. Chau, K. T., Wong, R. H., Liu, J., & Lee, C. F. (2003) Rockfall Hazard Analysis for Hong Kong Based on Rockfall Inventory. Rock Mechanics and Rock Engineering 36 (5) , 383 - 408. Corominas, J., Copons, R., Moya, J., Villaplana, J. M., Altimir, J, & Amigo, J (2005) Quantitative assessment of the residual risk in a rockfall protected area. Landslide (2) , 343 - 357. Ebert, A., Kerle, N., & Stein, A. (2009) Urban Social Vulnerability assessment with physical proxies and spatial metrics derived from air-and spaceborne imagery and GIS data. Natural Hazards (48). 275 - 294. Galli, M., & Guzzetti, F. (2007) Landslide Vulnerability Criteria: A Case Study from Umbria, Central Italy. Environmental Management 40. 649 - 664. Guzzetti, F., Rechenbach, P., & Ghigi, S. (2004) Rockfall Hazard and Risk Assessment Along A Transportation Corridor in the Nera Valley, Central Italy. Environmental Management 2 , 191 - 206. ISDR (2004) Living with Risk - A Global Review of Disaster Reduction Initiatives. United Nation [www.unisdr.org]. Looijen, J. (2010) Hazard Based Site Selection for Waste Disposal Using SMCE. Enschede, The Netherlands: ITC. Marquinez, J., Duarte, R. M., Farias, P., & Sanchez, M. J. (2003) Predictive GIS-Based Model of Rockfall Activity in Mountain Cliffs. Natural Hazards 30 , 341 - 360. Sartohadi, J., Hadmoko, D. S., Setiawan, A., & Hizbaron, D. R. (2009). Laporan Hibah Zonasi Tata Ruang Rawan Bencana Rockfall di Kabupaten Purworejo dan Kulonprogo. Yogyakarta: LPPM UGM. Suprojo, S. W. (2004) Pemintakatan Bahaya Longsor Lahan di Kecamatan Kandangan Kabupaten Temanggung Jawa Tengah. Forum Geografi. Vol 18, No 2, Desember, pp. 161-172. Topal, T., Akin, M., & Ozden, U. A. (2007) Assessment of rockfall hazard around Afyon Castle, Turkey. Environmental Geology (53) , 191 - 200. Westen, C. J., Alkema, D., Damen, M. C., Kerle, N., & Kingma, N. C. (2010) Multi-hazard risk assessment. Enschede, The Netherlands: ITC. Yilmaz, I., Yildrim, M., & Keskin, I. (2008) A method for mapping the spatial distribution of Rockfall computer program analyses results using ArcGIS software. Bulletin Engineering Geology Environment 67 , 547 - 554.en_US
dc.identifier.issn0852-2682
dc.identifier.urihttp://hdl.handle.net/11617/1214
dc.description.abstractThis research aims at identification of spatial plan zonation in rockfall prone areas. Research method applies hazard, vulnerability and risk analysis as an input for spatial modeling using Multi Criteria Evaluation (MCE). Research reveals that in Girimulyo is susceptible towards rockfall. In the last decades, there were 16 occurrences of rockfall that impacted to physical damages. Fortunately, such disaster did not cause any harm to human life. Therefore, research argue that physical vulnerability analysis can be analyzed, while social vulnerability cannot be analyzed further, since it had less data support. According to the research, there are more than 48 housing units located in hazard zone. Hence, local government should initiate structural mitigation to avoid further loss. Research also reveals that areas with high susceptibility will not directly consider as high risk zone, unless it has high vulnerability index. Example: areas along escarpment, where it has high susceptibility, but it has no element at risk in the area. Thereby, research tries to present zonation for prone hazard areas, using risk index. The result is quite representative, since possible areas to be developed is anywhere alongside road network. Indication of the area is produced from the multi criteria analysis. Multi criteria analysis is an essential method to combine spatial data and its attribute. Using such method requires more data input and expertise in justifying indicator to be selected.en_US
dc.publisherlppmumsen_US
dc.subjectVulnerabilityen_US
dc.subjectrisken_US
dc.subjectrockfallen_US
dc.subjectzonationen_US
dc.subjectmulti criteria evaluationen_US
dc.titleTinjauan Kerentanan, Risiko dan Zonasi Rawan Bahaya Rockfall di Kulonprogo, Yogyakartaen_US
dc.title.alternativeReview of Vulnerability, Risk and Rockfall Danger Prone Zoning in Kulonprogo, Yogyakartaen_US
dc.typeArticleen_US


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