Verification of a Synthetic Rainfall Model Based on the ArRR and Satellite Rainfall

Bambang Heri Mulyono, Lily Montarcih Limantara, Moh Sholichin, Dian Sisinggih, Heri Suprijanto

Abstract

Synthetic rainfall is needed as an input in the analysis of design flood. This research intends to conduct the verification of a synthetic rainfall model based on the ArRR and satellite result. The rainfall data is as the main component in obtaining the design, detail design, operation and maintenance of effective water resource infrastructure. Rainfall data is often used for the analysis of flood balance, flood frequency distribution, estimation of river discharge, and design of water structure. However, the main constraint in designing the water resource infrastructure is less available rainfall data temporally and spatially. The limitation of available rainfall station number causes inaccuracy in analyzing the area mean rainfall. Therefore, sometimes the correlation between recorded data from the rainfall station and water estimation station does not show a positive and strong correlation. This is due to less rainfall data that are spatially representative in the watershed upstream. The verification is carried out in the Ciliwung Hulu watershed. The methodology consists of ArRR analysis of the two extreme rainfall events, then the ArRR is analyzed using the synthetic rainfall model equation that is applied for watershed areas < 750 km2; in the end, we spatially compared the satellite and observed rainfall. The analysis of the ArRR value is based on the formulation as follows: ArRR_i=(0,026FB-0,307*Re_i+1,184 Q_(i+lag)/A+0,693)/(C_ArRR.K_ArRR ). The lag time that is used is 3 h based on the analysis of time to peak by using the Nakaysu hydrograph by assuming that the run-off coefficient is 0.35. The spatial comparison between satellite and observed daily rainfall on February 19, 2021, and October 28, 2021, shows that the rainfall distribution pattern is more similar with adding the ArRR synthetic rainfall station than with only using the ARR station.


Keywords: synthetic rainfall, ArRR model, satellite, observation.

 

https://doi.org/10.55463/issn.1674-2974.49.8.23


Full Text:

PDF


References


KAMILA D., LIMANTARA L.M., BISRI M., and SOETOPO W. Alpha Modeling of Nakayasu Synthetic Unit Hydrograph for Part of Watersheds in Indonesia. International Journal of Recent Technology and Engineering, 2019, 8(4): 5509-5514. https://doi.org/10.35940/ijrte.d8972.118419

KAMILA D., LIMANTARA L. M., BISRI M., and SOETOPO W. The limiting physical parameters of Nakayasu Synthetic Unit Hydrograph. International Journal of Innovative Technology and Exploring Engineering, 2019, 8(6C2): 30-33. https://www.ijitee.org/wp-content/uploads/papers/v8i6c2/F10060486C219.pdf

PRIYANTORO D., & LIMANTARA L. M. Conformity evaluation of synthetic unit hydrograph (case study at upstream Brantas sub-watershed, East Java Province of Indonesia). Journal of Water and Land Development, 2017, 35: 173–183. https://doi.org/10.1515/jwld-2017-002

MUCHLIS A., LIMANTARA L. M., BISRI M., and SHOLICHIN M. Design flood of the Mahakam Lake cascade for reducing the flood downstream. Journal of Southwest Jiaotong University, 2021, 56(4): 279-287. https://doi.org/10.35741/issn.0258-2724.56.4.23

BRUNNER M. I., FURRER R., SIKORSA A. E., VIVIROLI D., SEIBERT J., and FAVRE A. C. Synthetic design hydrographs for ungauged catchments: a comparison of regionalization methods. Stochastic Environmental Research and Risk Assessment, 2018, 32(7): 1993–2023. https://doi.org/10.1007/s00477-018-1523-3

AALTO J., KÄMÄRÄINEN M., SHODMONOV M., RAJABOV N., and VENÄLÄINEN A. Features of Tajikistan’s past and future climate. International Journal of Climatology, 2017, 37(14): 4949–4961. https://doi.org/10.1002/joc.5135

ADHIKARY S. K., YILMAZ A. G., and MUTTIL N. Optimal design of rain gauge network in the Middle Yarra River catchment, Australia. Hydrological Processes, 2015, 29(11): 2582–2599. https://doi.org/10.1002/hyp.10389

JUWONO P. T., LIMANTARA L. M., and AMRIE S. The Effect of Land Use Change to the Depth and Area of Inundation in the Bang Sub-Watershed-Malang-Indonesia. International Journal of GEOMATE, 2019, 16(53): 238-244. https://doi.org/10.21660/2019.53.96946

HIDAYAT A., LIMANTARA L. M., SOETOPO W., and SISINGGIH D. Alpha parameter modeling of Nakayasu Synthetic Unit Hydrograph based on the watershed shape factor. Journal of Hunan University Natural Sciences, 2022, 49(1): 31-37. https://doi.org/10.55463/issn.1674-2974.49.1.5

WULANDARI E., LIMANTARA L. M., ANDAWAYANTI U., and SUHARTANTO E. Model of Alfa Parameter Development at Nakayasu Synthetic Unit Hydrograph Based on the Watershed Physical Characteristic in Some Parts Watershed of Java Island. Technology Reports of Kansai University, 2020, 62(4): 1711-1720. https://www.kansaiuniversityreports.com/article/model-of-alfa-parameter-development-at-nakayasu-synthetic-unit-hydrograph-based-on-the-watershed-physical-characteristic-in-some-parts-watershed-of-java-island

LIMANTARA L. M. Hydrology engineering. Penerbit Andi, Yogyakarta, 2018.

MURDHIANTI A., LIMANTARA L. M., JUWONO P. T., and SISINGGIH D. Equivalence of Rainfall Type and Maximum Discharge to the Drainage Channel Capacity. Journal of Southwest Jiaotong University, 2021, 56(5): 485-493. https://doi.org/10.35741/issn.0258-2724.56.5.44


Refbacks

  • There are currently no refbacks.