Uji Keandalan Penguraian Data Hujan Penguraian (Disagregasi) Untuk Pemodelan Hidrograf Banjir Di Das Kelapa Sawit
Abstract
Abstract: This study explores accuracy of short term rainfall disaggregation model by modeling rainfall runoff. Storm hydrographs show rapid responses to rainfall with a short time to peak. The spatial rainfall disaggregation process used multivariate daily rainfall (MuDRain) model on 4 manual rainfall rain gauges (MRR) and 3 automatic rainfall rain gauges (ARR) used as reference the hydrographs were satisfactorily modeled using the Hydrologic Engineering Centre–Hydrologic Modeling System (HEC-HMS). Parameter calibrations were done on case 1 that rainfall runoff modeling used the rainfall data from 7 rain gauges (MRR and ARR). Model validation (case 2) used the rainfall data from 3 rain gauges (ARR). The efficiency indexes of (case 1) and (case 2) are 0.97 and 0.74, respectively. Based on these preliminary findings, it could be suggested that rainfall disaggregation would be able to serve reasonably well in regulating basic hydrological functions.
Key words: rainfall, runoff, disaggregation, MuDRain
Downloads
How to Cite
Issue
Section
License
Copyright (c) 2013 Entin Hidayah

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Authors who publish with this journal agree to the following terms:
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial 4.0 International License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).