BASIN MODELING IN BOYONG-CODE RIVER USING openLISEM AND PCRASTER
Flashflood becomes destructing and deadly hazard through its overwhelming discharge with rapid run-off velocity. It forms as a large quantity of water body that comes in sudden and collide everything on its way. One exposed target of flashfloods deadly hazard is riparian settlements in densely popul...
محفوظ في:
| المؤلفون الرئيسيون: | , |
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| التنسيق: | Theses and Dissertations NonPeerReviewed |
| منشور في: |
[Yogyakarta] : Universitas Gadjah Mada
2014
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://repository.ugm.ac.id/131056/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=71497 |
| الوسوم: |
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| الملخص: | Flashflood becomes destructing and deadly hazard through its overwhelming discharge with
rapid run-off velocity. It forms as a large quantity of water body that comes in sudden and
collide everything on its way. One exposed target of flashfloods deadly hazard is riparian
settlements in densely populated city.
The research proposal aims to build a model for a retention basin in the Boyong-Code
Watershed. In order to mitigate the impact of flashflood in The City of Yogyakarta and other
towns down valley, modeling of flashflood is undertaken by using PCRaster and LISEM.
The result of the research is shows the modeling result of multiple scenarios. It can be
concluded that rebuilding appropriate sabo dams after volcanic eruption is the highest impact
in reducing flashflood peak discharge (reduction down to 16.46% of total occurred flashflood
peak discharge). Furthermore the application of retention basin in Boyong-Code River can
reduce flashfloods peak discharge down to 11.86%. Retention basin application with its
economical low cost and positive ecological approach can be considered as securing
infrastructure against flashfloods if non expensive cost approach is wished.
The statistic test result shows that the model is valid to be run. Total map error projection of
10% is achieved by multiple statistical parameters of MA%E = 6.71% and ground check
binomial probability value = 91.14%. In calibration process, factor of porosity = 0.68 is used
as it derived from the lowest ranging average of 0.58 and 0.78. |
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