SCALING ANALYSIS AS A BASIS OF APPLICATION OF TEMPORAL RAINFALL DISAGGREGATION METHOD

• Main Author: MA'ARUFI ( NIM : 22411317); Pembimbing : Dr. Tri Wahyu Hadi, ARIF
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/15008
• Institution: Institut Teknologi Bandung

This study aims to make the scaling analysis as a basis for the application of temporal rainfall disaggregation method in Indonesia. Besides, it is also testing two stochastic disaggregation methods is HYETOS and faction-R. Box counting method used to obtain the scaling regime, and R/S analysis to test the persistence of data, as well as the empirical probability distribution (qD) to determine the fractal nature of the data. Testing disaggregation method with statistical parameters such as the maximum value, standard deviation, variance and dry periods. The data used is the hourly rainfall 2008-2012 from eight locations in Indonesia. Data RMM1 and RMM2 period 2000-2012 are used to test the rainfall disaggregation when the MJO evens. <br /> <br /> <br /> From this study it was found that the daily and hourly rainfall in Indonesia is in the same scaling regime with multifraktal properties as well as having a positive autocorrelation. The implications of these conditions, the disaggregation of daily rainfall into hourly can be directly performed with the stochastic approach and is based on a long term memory. Testing two stochastic disaggregation methods show that the performance of the method Faction-R better and recommended for use in Indonesia compared HYETOS method. Exploration results of the Faction-R method is obtained that this method does not require a special distribution (lookup table) for the disaggregation of certain events such as the MJO and seasonal periods, but enough with the long data. Furthermore, the scaling pattern of the output rainfall of fraction-R method follows the scaling pattern of observation, which means that this method is able to generate synthetic rainfall with the same structure as the observation and reason reinforce its use in Indonesia.