Kajian Bahaya Bencana Banjir dengan Metode Topographic Wetness Index di Kabupaten Serang
Article Sidebar
Main Article Content
Abstract
Coping flood hazard risk needs to be done early on. One way of handling floods from the beginning is to predict flood-prone areas with topographic wetness index method. Serang regency is a fairly frequent area of flooding therefore it is necessary to conduct a study to predict flood-prone areas. The total area of flood-prone areas in Serang Regency is 62,608 Ha based on TWI saga modeling results. The area is dominated by high and low class with 25,050 Ha and 29,741 Ha respectively. While for the middle class of 7,817 ha.
Article Details
Open Access Policy
ALAMI provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.
ALAMI by PTRRB-BPPT is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Permissions beyond the scope of this license may be available at http://ejurnal.bppt.go.id/index.php/ALAMI
References
Ali, G., C. Birkel., D. Tetzlaff., C. Soulsby., J.J. McDonnell. Dan P. Tarolli. 2013. A Comparison of Wetness Indices for the Prediction of Observed Connected Saturated Areas Under Contrasting Conditions. Eart Surf. Process. Landforms.
Boehner, J., Koethe, R. Conrad, O., Gross, J., Ringeler, A., Selige, T. (2002): Soil Regionalisation by Means of Terrain Analysis and Process Parameterisation. In: Micheli, E., Nachtergaele, F., Montanarella, L. [Ed.]: Soil Classification 2001. European Soil Bureau, Research Report No. 7, EUR 20398 EN, Luxembourg. pp.213-222
BPPT-BPBD Kabupaten Serang. 2017. Master Plan dan Action Plan Bencana di Kabupaten Serang, Laporan, tidak diterbitkan
Hojati, M. dan M. Mokarram. 2016. Determination of a Topographic Wetness Index Using High Resolution Digital Elevation Models. Eurogeo Jour., 7(4):41-52.
Sorensen, R., U. Zinko dan J. Seibert. 2006. On the Calculation of the Topographic Wetness Index : Evaluation of Different Methods based on Field Observations. HESS jour., 10:101-112.