PEMANFAATAN DATA HUJAN BERBASIS SATELIT CHIRPS UNTUK PEMETAAN HUJAN RANCANGAN DI KABUPATEN LOMBOK UTARA
Abstract
The design rainfall value is a critical parameter in flood analysis and water structure design. In general, the design rainfall calculation uses measured rainfall data. However, sometimes it is difficult to find complete rainfall data from evenly distributed rainfall stations and in an extended measurement range. This study aims to test the use of CHIRPS satellite-based rainfall data as an alternative solution for providing data in areas with difficulty with rainfall data. The analysis includes data accuracy and calibration evaluation, followed by design rainfall analysis with frequency analysis and mapping using spatial data processing software. The accuracy test results obtained an average deviation value of the original CHIRPS that did not meet the average NSE value of 0.346. Furthermore, the data was calibrated using the regression method, and corrected data was obtained with an NSE of 0.446 with an interpretation of the meeting. A rainfall analysis was conducted for corrected CHIRPS with ARR (Automatic Rainfall Recorder) measurement as a control. The results obtained the average percentage deviation for design rainfall with a return period of 2, 5, 10, 25, 50, and 100 years using corrected CHIRPS ranging from 18 - 28% lower than design rainfall using ARR. The design rainfall isohyet map using spatial data processing software for the North Lombok Region shows that high design rainfall occurs in the eastern part of North Lombok, namely around the Santong and Sambik Bangkol stations, while design rainfall with low values is in the western part of North Lombok, namely around the Tanjung and Gunungsari stations.
Keywords
Full Text:
PDFReferences
Aksu, H., Akgül, M.A., (2020). Performance evaluation of CHIRPS satellite precipitation estimates over Turkey. Theoretical and Applied Climatology 142, 71–84.
Bai, L., Shi, C., Li, L., Yang, Y., Wu, J., (2018). Accuracy of CHIRPS satellite-rainfall products over mainland China. Remote Sensing 10, 362.
Dinku, T., Funk, C., Peterson, P., Maidment, R., Tadesse, T., Gadain, H., Ceccato, P., (2018). Validation of the CHIRPS satellite rainfall estimates over eastern Africa. Quarterly Journal of the Royal Meteorological Society 144, 292–312.
Du Plessis, J., Kibii, J., (2021). Applicability of CHIRPS-based satellite rainfall estimates for South Africa. Journal of the South African Institution of Civil Engineering 63, 43–54.
Handayani, Y.L., Hendri, A., Aditya, A., (2013). Analisa Hujan Rancangan Partial Series dengan Berbagai Panjang Data dan Kala Ulang Hujan. Jurnal Teknik Sipil 12, 221–232.
Hsu, J., Huang, W.-R., Liu, P.-Y., Li, X., (2021). Validation of CHIRPS precipitation estimates over Taiwan at multiple timescales. Remote Sensing 13, 254.
Huddiankuwera, A., (2016). Pengaruh panjang data terhadap besarnya penyimpangan curah hujan rancangan (studi kasus daerah aliran sungai Tabo-Tabo). Jurnal Ilmiah Teknik dan Informatika Vol 1.
Katsanos, D., Retalis, A., Michaelides, S., (2016). Validation of a high-resolution precipitation database (CHIRPS) over Cyprus for a 30-year period. Atmospheric Research 169, 459–464. https://doi.org/10.1016/j.atmosres.2015.05.015
López-Bermeo, C., Montoya, R.D., Caro-Lopera, F.J., Díaz-García, J.A., (2022). Validation of the accuracy of the CHIRPS precipitation dataset at representing climate variability in a tropical mountainous region of South America. Physics and Chemistry of the Earth, Parts A/B/C 127, 103184.
Manalu, S., (2017). Pengaruh Panjang Data Terhadap Debit Rancangan (Studi Kasus DAS Jeneberang). JURUSAN SIPIL PENGAIRAN FAKULTAS TEKNIK UNIVERSITAS MUHAMMADIYAH MAKASSAR, Makassar.
Misnawati, M., Boer, R., June, T., Faqih, A., (2018). Perbandingan metodologi koreksi bias data curah hujan chirps. Limnotek: perairan darat tropis di Indonesia 25.
Nawaz, M., Iqbal, M.F., Mahmood, I., (2021). Validation of CHIRPS satellite-based precipitation dataset over Pakistan. Atmospheric Research 248, 105289.
Paredes-Trejo, F.J., Barbosa, H., Kumar, T.L., (2017). Validating CHIRPS-based satellite precipitation estimates in Northeast Brazil. Journal of arid environments 139, 26–40.
Prakash, S., (2019). Performance assessment of CHIRPS, MSWEP, SM2RAIN-CCI, and TMPA precipitation products across India. Journal of hydrology 571, 50–59.
Rivera, J.A., Marianetti, G., Hinrichs, S., (2018). Validation of CHIRPS precipitation dataset along the Central Andes of Argentina. Atmospheric Research 213, 437–449.
Saeidizand, R., Sabetghadam, S., Tarnavsky, E., Pierleoni, A., (2018). Evaluation of CHIRPS rainfall estimates over Iran. Quarterly Journal of the Royal Meteorological Society 144, 282–291.
Sahanaya, A.A., Harisuseno, E.D., Limantara, I.L.M., (2014). Pengaruh Panjang Data Terhadap Besaran Debit Banjir Pada Sub DAS Brangkal Kabupaten Mojokerto. Universitas Brawijaya, Malang.
Shen, Z., Yong, B., Gourley, J.J., Qi, W., Lu, D., Liu, J., Ren, L., Hong, Y., Zhang, J., (2020). Recent global performance of the Climate Hazards group Infrared Precipitation (CHIRP) with Stations (CHIRPS). Journal of Hydrology 591, 125284. https://doi.org/10.1016/j.jhydrol.2020.125284
Sugiyono., (2019). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. CV Alfabeta, Bandung.
Wu, W., Li, Y., Luo, X., Zhang, Y., Ji, X., Li, X., (2019). Performance evaluation of the CHIRPS precipitation dataset and its utility in drought monitoring over Yunnan Province, China. Geomatics, Natural Hazards and Risk 10, 2145–2162.
DOI: https://doi.org/10.35327/gara.v18i3.1032
Refbacks
- There are currently no refbacks.
Copyright (c) 2024 GANEC SWARA
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.