Page - 1210 - in Book of Full Papers - Symposium Hydro Engineering

IMPROVING MODIFIED ICOLD METHOD WITH LOSS OF LIFE INDEX FOR DAM SAFETY RISK ASSESMENT IN INDONESIA BY USING RASTER METHOD Anto HENRIANTO Dam Engineer, PT. VIRAMA KARYA (PERSERO), Doctor Candidate of Water Resources Engineering, PARAHYANGAN CATHOLIC UNIVERSITY R.Wahyudi.TRIWEKO Professor of Water Resources Engineering, PARAHYANGAN CATHOLIC UNIVERSITY INDONESIA 1. INTRODUCTION Indonesia is one of many countries that have the highest number of dams in the world. Related to climate change in the world with so many dams in Indonesia (286 dams) needs to be assessed, the risk assessment action plan is very important to be done. Modified ICOLD Method (MIM), is a risk assessment model that is often used in Indonesia. However, this method has the disadvantage that only provides data on the number of people at risk (PAR) not to the point Loss of Life (LoL). According to the downstream dam area where dominated by densely populated areas and economic centers in Indonesia, which makes the risk level of dam is high or even extreme and considering the effects of climate change that can lead to the destruction of a dam at any time, the aspect of LoL shall be a priority for concerned. Although considered to be a lot of uncertainty, further study of PAR is the prediction of the number of LoL at least a measurable picture for various efforts to reduce the amount of LoL. 2. METHODS Because this paper only discusses PAR in the innundation area then some conditions, such as PAR who are in the dam and LoL due to traffic accidents due to drift on the highway when disaster does not take into account. Basically, this method involves basic map preparation, parameters affecting the amount of LoL in the innundation area, the development of interaction matrix, coding on the matrix, parameter classification, rasterization, potential risk assessment of LoL, making of risk maps and simulating the reduction of the amount of LoL. Raster method is a method that describes the relationship between risk determinant parameters to a threat in each sub unit of the inundation area. The total number 1210