Snake Line Performance Applying Single Pixel X-Band MP Radar Data (Case of Mt. Merapi Area, Indonesia)

https://doi.org/10.22146/jcef.44781

Ani Hairani(1*), Adam Pamudji Rahardjo(2), Djoko Legono(3), Istiarto Istiarto(4)

(1) Department of Civil Engineering, Universitas Muhammadiyah, Yogyakarta, INDONESIA Department of Civil and Environmental Engineering, Universitas Gadjah Mada, INDONESIA
(2) Department of Civil and Environmental Engineering, Universitas Gadjah Mada, INDONESIA
(3) Department of Civil and Environmental Engineering, Universitas Gadjah Mada, INDONESIA
(4) Department of Civil and Environmental Engineering, Universitas Gadjah Mada, INDONESIA
(*) Corresponding Author

Abstract


The short-duration-rainfall monitoring techniques have become important recently due to the high demand for disaster risk miti­gation. Such techniques produce important information on the rainfall intensity during heavy rainfall in the form of snake line. At the same time, use of X-Band Multi-Parameter Radar (XMP Radar) in rainfall monitoring has increased significantly be­cause of its capacity to cover wide area. An assessment on the snake line performance that was developed based on XMP Radar and ground rainfall monitoring instrument (i.e. Automatic Rainfall Recorder or ARR) has been applied to Mt. Merapi area, Java, Indonesia. Selected rainfall data of November-December 2018 were examined. The assessment used a single pixel of radar data at the location of the ARR. The result shows that rainfall data obtained from XMP Radar are lower than those from ARR. The computed snake line obtained from XMP Radar differs from that from ARR data. The XMP Radar underestimates the warning level by about two level out of four.

Keywords


XMP Radar; Snake line; ARR; Disaster risk mitigation

Full Text:

PDF


References

Balai Sabo, 2019. Sistem Informasi Bencana Sedimen. [Online] Available at: http: //202.173.16.247/test_sdis/monitorcurrent_all.php?types=snakelines2 [Accessed 03 04 2019].

BNPB, 2011. National Disaster Management Board. [Online] Available at: http://geospasial.bnpb. go.id/[Accessed 6 April 2017].

Civil and Environmental Engineering Department, 2019. Remote Monitoring, Hydraulics Laboratory. [Online] Available at: http: //data.hydraulic.lab.cee-ugm.ac.id/ [Accessed 03 04 2019].

DGWR, 2001. Mt. Merapi and Mt. Semeru Volcanic Disaster Countermeasures Project: Review Master Plan Study, Jakarta: Directorate General of Water Resources (DGWR), Ministry of Public Works Indonesia.

Franks, C. & Woods, N. W., 1997. Natural Terrain Landslide Study: Preliminary Review of Natural Terrain Landslide Hazard Mtigation Measure (Technical Note No.8/97), Hong Kong: Geotechnical Engineering Office.

Hambali, R., Legono, D., Jayadi, R. & Oishi, S., 2019. Improving Spatial Rainfall Estimates at Mt. Merapi Area Using Radar-Rain Gauge Conditional Merging. Journal of Disaster Research, 14(1), pp. 69-79.

Ministry of Land, Infrastructure, and Transport (MLIT), 2004. Guidelines for Construction Technology Transfer, Development of Warning and Evacuation System against Sediment Disaster in Developing Countries. Infrastructure Development Institute, Japan.

Otani, K., Legono, D., Darsono, S. & Suharyanto, 2018. Effects of Disaster Management Programs on Individuals’ Preparedness in Mount Merapi. Journal of the Civil Engineering Forum, 4(1), pp. 79-90.

Prayuda, D. D., 2012. Temporal and Spatial Analysis of Extreme Rainfall on the Slope of Mt. Merapi. Journal of the Civil Engineering Department, 21(3), pp. 1285-1290.

Putra, S. S. et al., 2018. Flood Early Warning System in Mt. Merapi based on Radial Basis Function Network Generated Critical Line. Yogyakarta.

Takahashi, T., 1991. Debris Flow. In: IAHR, ed. Monograph of IAHR. Rotterdam: Balkema, pp. 1-165.

Wardoyo, W., 2013. Karakteristik Inisiasi Lahar Terpicu Hujan di Sungai Vulkanik [Characteristics of Lahar Initiation Triggered by Rainfall in Volcanic Stream], Yogyakarta: Dissertation Report, Universitas Gadjah Mada.

Yulinsa, N., 2015. Snake Line Analysis for Lahar Warning System. Journal of the Civil Engineering Forum, 1(1).



DOI: https://doi.org/10.22146/jcef.44781

Article Metrics

Abstract views : 1919 | views : 1985

Refbacks

  • There are currently no refbacks.




Copyright (c) 2022 The Author(s)


The content of this website is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
ISSN 5249-5925 (online) | ISSN 2581-1037 (print)
Jl. Grafika No.2 Kampus UGM, Yogyakarta 55281
Email : jcef.ft@ugm.ac.id
Web Analytics JCEF Stats