ANALISIS PROBABILITAS KELONGSORAN DENGAN MENGESTIMASI KENAIKAN MUKA AIR TANAH MENGGUNAKAN METODE CRD (CUMULATIVE RAINFALL DEPARTURE)

MULIA S, JONATHAN and Chusaini San, Indra and Setiawan, Budhi (2011) ANALISIS PROBABILITAS KELONGSORAN DENGAN MENGESTIMASI KENAIKAN MUKA AIR TANAH MENGGUNAKAN METODE CRD (CUMULATIVE RAINFALL DEPARTURE). Undergraduate thesis, Sriwijaya University.

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Abstract

Climate change shows a role of rainfall that need to clarify as it considered as the cause of landslides. Landslide is happen when rainfall mean above normal and occurred beyond infiltration capacity time due to recharge of ground water table. This paper is presented Cumulative Rainfall Distribution (CRD) method to estimate the changing of ground water table (or water level fluctuation) as impact of recharge and it would be induced landslide. Principles of methods are described and references as case study in Tarakan City and Sumatera Selatan Province that based on possibility, in terms of limitations, applicability of data, temporal and spatial scales. They are monthly rainfall records, water levels, borehole abstractions and aquifer properties including storativity and size of recharge area. By taking into account different ranges of rainfall as result from meteorological model rates both in baseline and projection, the CRD method will give reasonable estimation of recharge. Then, the ground water table estimation is developed to a model of slope stabilization, that perform by a finite element analysis to estimate the probability of landslide. The results shows probability of landslide map as hazard in climate change impact for 30 years projection, as result of construction in spatial data-sets and model of slope stability previously. Keywords : CRD Method, Analisis Kelongsoran

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	CRD Method, Analisis Kelongsoran
Subjects:	Q Science > Q Science (General) > Q1-295 General
Divisions:	03-Faculty of Engineering > 22201-Civil Engineering (S1)
Depositing User:	Mrs. Elly Suryani
Date Deposited:	05 May 2023 02:08
Last Modified:	05 May 2023 02:08
URI:	http://repository.unsri.ac.id/id/eprint/99314

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