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dc.contributor.authorHasanah, Annisa
dc.contributor.authorSulistyantara, Bambang
dc.contributor.authorSiti Fatimah, Indung
dc.date.accessioned2017-11-21T03:14:03Z
dc.date.available2017-11-21T03:14:03Z
dc.date.issued2015-04
dc.identifier.isbn978-602-14437-7-4
dc.identifier.urihttp://repository.ipb.ac.id/handle/123456789/88447
dc.description.abstractIn Indonesia, flood is a national disaster which has the highest frequency of occurence (37%) during 1985 until 2014. Ciliwung watershed upstream hold an important role in protecting environmental quality for Bogor City and the capital city of Indonesia, Jakarta. Land cover change in Ciliwung watershed has led in to increasing of build up area. As an impact, the land cannot infiltrate the water because of the impermeable layer. Therefore, land cover analysis should be done to measure the capacity of land cover for run-off reduction. The purpose of this research is to analyze land cover of Ciliwung watershed upstream in year 2010 related to run off for flood risk reduction. This research was done in Ciliwung watershed upstream West Java, Indonesia. The data thathas been used in this study are secondary data, such as land cover data year 2010 and administration boundary data, and precipitation data. The method which is used in this study is CITYgreen model. The methodology was divided into three steps, which are preparation analysis and output. The results of this study showed that storage volume in Ciliwung waters bed upstream needed to mitigate the change in peak flow is 2.1703e+5 m3 • The Curve Number (CN) and depth of run off are 76 and 3.48 em, respectively. The economic value of Green Open Space in the study site is $135,328,710.88 or Rp 1,757,515,730,000.id
dc.language.isoenid
dc.publisherCenter for Regional System Analysis, Planning and Development (CRESTPENT/P4Wid
dc.titleLand-Cover Changes Analysis in Ciliwung Waershed Upstream for Flood Risk Reductionid
dc.typeArticleid
dc.subject.keywordCITYgreen,id
dc.subject.keywordLandsat,id
dc.subject.keywordRun-off,id
dc.subject.keywordSupervised Classificationid


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