Analisis Limpasan Langsung Metode SCS Menggunakan Data Hujan TRMM Studi Kasus Subdas Code Hulu
DOI:
https://doi.org/10.18196/bce.v1i2.12417Keywords:
TRMM, validasi, metode SCS, hidrologi, korelasiAbstract
Availability of sufficient data as input data is important. Data availability tends to have several data problems, such as the lack of data availability, incomplete data, or the number of stations that are less scattered. As the development of the technology problems, those probelms can be solved by replacing ground-based observation data with satellite observations that have high spatial and temporal resolution, wide area coverage, fast access, and economics. This research was conducted to validate and correct TRMM satellite data on observation data at the AWLR Gemawang station with the SCS Method. The results of this study showed a delay in the average measurements of satellite rainfall and surface approximately 8.5 hours based on the data analysis used in this study. The results of the model error analysis can be concluded that TRMM rainfall data can be used in these needs. However, there is still an error in the TRMM data, which is on the data of January 18, 2018 which results in a hydrograph (Ew) waveform error of 11.843. From the conformity index and efficiency analysis, TRMM satellite data gets the correlation coefficient average ARR-AWLR debit of 0,2416 which is categorized as low efficiency data and TRMM-AWLR of 0,1041 which is categorized as quite low coefficient data, while the efficiency coefficient gets an average value 1,67 which is categorized as highly efficient optimization data.
References
Adjei, K., Ren, L., Appiah-Adjei, E., Kankam-Yeboah, K., & Agyapong, A. (2012). Validation of TRMM Data in the Black Volta Basin of Ghana. Journal of Hydrological Engineering, 17(5), 647-654.
Ali, A., Xiao, C., Anjum, M., Adnan, M., Nawaz, Z., Ijaz, M., . . . Farid, H. (2017). Evaluation and Comparison of TRMM Multi-Satellite Precipitation Products With Reference to Rain Gauge Observations in Hunza River Basin, Karakoram Range, Nothern Pakistan. Sustainability, 9(11), 1954-1973.
Aziz, A., & Tanaka, S. (2011). Regional Parameterization and Applicability of Integrated Flood Analysis System (IFAS) for Flood Forecasting of Upper-Middle Indus River. Pakistan Journal of Meteorology, 8(15), 21-38.
Badan Informasi Geospasial. (2017). Ina-GeoPortal. Retrieved from https://tanahair.indonesia.go.id/portal-web
Cao, Y., Zhang, W., & Wang, W. (2018). Evaluation of TRMM 3B43 data over the Yangtze River Delta of China. Scientific Reports, 8(1), 5290-5302.
Collischonn, B., Collischonn, W., & Tucci, C. E. (2008). Daily hydrological modeling in the Amazon basin using TRMM rainfall estimates. Journal of Hydrology, 360(1-4), 207-216.
Furey, P., & Gupta, V. (2001). A physically based filter for separating base flow from streamflow time series. Water Resources Research, 37(11), 2709-2722.
Harsanto, P., Ikhsan, J., & Alamyah, B. (2015). Model Hidrograf Banjir NRCS CN Modifikasi. Simposium Nasional Teknologi Terapan (SNTT)3. Surakarta: Universitas Muhammadiyah Surakarta.
Hendra, Y., Fauzi, M., & Sutikno, S. (2015). Pemanfaatan Dara ARR (Automatic Rainfall Recorder) Untuk Peningkatan Efektifitas Model Hujan Satelit (Studi Kasus DAS Indragiri). Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains, 2(2), 1-14.
Ladson, A. (2008). HIdrology, An Australian Introducction. Docklands: Oxford University Press Australia.
Ratner, B. (2009). The correlation coefficient: Its values range between +1/−1, or do they? Journal of Targeting, Measurement and Analysis for Marketing, 17, 139-142.
Wang, G., Zhang, P., Liang, L., & Zhang, S. (2017). Evaluation of precipitation from CMORPH GPCP-2, TRMM 3B43, GPCC, and ITPCAS with ground-based measurements in the Qinling-Daba Mountains, China. Plos One, 12(10), e0185147.
Downloads
Published
Issue
Section
License
Copyright
The Authors submitting a manuscript do so on the understanding that if accepted for publication, copyright of the article shall be assigned to Bulletin of Civil Engineering (BCE). Copyright encompasses rights to reproduce and deliver the article in all form and media, including reprints, photographs, microfilms, and any other similar reproductions, as well as translations.
Authors should sign Copyright Transfer Agreement when they have approved the final proofs sent by the journal prior the publication. BCE strives to ensure that no errors occur in the articles that have been published, both data errors and statements in the article.
BCE keep the rights to articles that have been published and hold the copyright limited solely for the publication. Authors are permitted to disseminate published article by sharing the link of BCE website. Authors are allowed to use their works for any purposes deemed necessary without written permission from BCE with an acknowledgement of initial publication in this journal.
License
All articles published in BCE are licensed under a Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA) license. You are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms:
- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.