TY - JOUR AU - Eddy Iskandar Muda Nasution, AU - Arwin Sabar, AU - Indah Rachmatiah Siti Salami, AU - Dyah Marganingrum, PY - 2020/11/28 Y2 - 2024/03/29 TI - RATIONALIZATION OF DISCHARGE DATA FLUCTUATIONS USING MINIMUM RESIDUALS MODEL OF MOVING AVERAGE METHODS IN CITARUM CASCADE RESERVOIRS JF - GEOMATE Journal JA - INTERNATIONAL JOURNAL OF GEOMATE VL - 19 IS - 75 SE - Articles DO - UR - https://geomatejournal.com/geomate/article/view/1740 SP - 209-214 AB - <p>Since 1981, a cascade of dams consisting of the Saguling, Cirata, and Jatiluhur reservoirs has been <br>constructed along the Citarum River in order to fulfill demands for flood control, water supply, and electrical <br>power generation, and this requires the implementation of an appropriate hydrological approach. The efficient <br>operation of a water resource system requires an accurate water flow analysis that approximates the actual fact as <br>closely as possible to minimize risks in decision-making. Discharge is a random and stochastic component in <br>hydrology, influenced by rainfall variations with a maximum in the tropical wet season and a minimum in the dry <br>season. Thus, discharge analysis requires a statistical approach especially minimum residuals. Values for average <br>annual inflows has constructed through four different calculation techniques for the moving average method to <br>rationalize the fluctuations in discharge data Citarum cascade reservoirs by reducing randomness in the data, with <br>the eventual aim of obtaining more rational trend lines. An analysis of minimum residuals between the results of <br>the calculation and those of model regressions has demonstrated that the cumulative moving average calculation <br>technique provides the best fit among all the models with the smallest residual value, as shown in its lowest mean <br>squared error values of 0.83, 2.04, and 1.77 for the three reservoirs.</p> ER -