Point-Based Rainfall Intensity Information System in Mt. Merapi Area by X-Band Radar

被引:0
作者
Putra, Santosa Sandy [1 ,2 ]
Ridwan, Banata Wachid [1 ]
Yamanoi, Kazuki [3 ]
Shimomura, Makoto [4 ]
Sulistiyani [5 ,7 ]
Hadiyuwono, Dicky [6 ]
机构
[1] Minist Publ Works & Housing, Balai Sabo, Maguwoharjo 55282, Yogyakarta, Indonesia
[2] Univ Leeds, Sch Geog, Fac Environm, Leeds, W Yorkshire, England
[3] RIKEN Ctr Computat Sci, Chuo Ku, 7-1-26 Minatojima Minami Machi, Kobe, Hyogo 6500047, Japan
[4] Kyoto Univ, Sakurajima Volcano Res Ctr, Disaster Prevent Res Inst, 1722-19 Yokoyama, Kagoshima 8911419, Japan
[5] Minist Energy & Mineral Resources, Balai Penyelidikan & Pengembangan Teknol Kebencan, Yogyakarta, Indonesia
[6] Univ Gadjah Mada, Dept Civil & Environm Engn, Hydraul Lab, Jalan Graf 2, Yogyakarta, Indonesia
[7] Geol Agcy, Ctr Volcanol & Geol Hazard Mitigat, Balai Penyelidikan & Pengembangan Teknol Kebencan, Jl Cendana 15, Yogyakarta 55166, Indonesia
关键词
point-based; rainfall; lahar; Mt; Merapi; X-band radar; PRECIPITATION; VOLCANO; FLOW;
D O I
10.20965/JDR.2019.P0080
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
An X-band radar was installed in 2014 at Merapi Museum, Yogyakarta, Indonesia, to monitor pyroclastic and rainfall events around Mt. Merapi. This research aims to perform a reliability analysis of the point extracted rainfall data from the aforementioned newly installed radar to improve the performance of the warning system in the future. The radar data was compared with the monitored rain gauge data from Balai Sabo and the IMERG satellite data from NASA and JAXA (The Integrated Multi-satellitE Retrievals for GPM), which had not been done before. All of the rainfall data was compared on an hourly interval. The comparisons were conducted based on 11 locations that correspond to the ground rainfall measurement stations. The locations of the rain gauges are spread around Mt. Merapi area. The point rainfall information was extracted from the radar data grid and the satellite data grid, which were compared with the rain gauge data. The data were then calibrated and adjusted up to the optimum state. Based on January 2017-March 2018 data, it was obtained that the optimum state has a NSF value of 0.41 and R-2 value of 0.56. As a result, it was determined that the radar can capture around 79% of the hourly rainfall occurrence around Mt. Merapi area during the chosen calibration period, in comparison with the rain gauge data. The radar was also able to capture nearby 40-50% of the heavy rainfall events that pose risks of lahar. In contrast, the radar data performance in detecting drizzling and light rain types were quite precise (55% of cases), although the satellite data could detect slightly better (60% of cases). These results indicate that the radar sensitivity in detecting the extreme rainfall events must receive higher priority in future developments, especially for applications to the existing Mt. Merapi lahar early warning systems.
引用
收藏
页码:80 / 89
页数:10
相关论文
共 22 条
  • [1] BMKG and BIG, 2018, BAD MET KLIM GEOF CO
  • [2] Modeling of Information Flow for Early Warning in Mount Merapi Area, Indonesia
    Cobar, Leslie Jamie
    Legono, Djoko
    Miyamoto, Kuniaki
    [J]. JOURNAL OF DISASTER RESEARCH, 2016, 11 (01) : 60 - 71
  • [3] Rain-triggered lahars following the 2010 eruption of Merapi volcano, Indonesia: A major risk
    de Belizal, Edouard
    Lavigne, Franck
    Hadmoko, Danang Sri
    Degeai, Jean-Philippe
    Dipayana, Gilang Aria
    Mutaqin, Bachtiar Wahyu
    Marfai, Muh Aris
    Coquet, Marie
    Le Mauff, Baptiste
    Robin, Anne-Kyria
    Vidal, Celine
    Cholik, Noer
    Aisyah, Numaning
    [J]. JOURNAL OF VOLCANOLOGY AND GEOTHERMAL RESEARCH, 2013, 261 : 330 - 347
  • [4] Evan, 2009, INDONESIA PROVINCES
  • [5] FURUNO, 2014, FURUNOS MET MON AN S
  • [6] Gonda Y., 2014, International Journal of Erosion Control Engineering, V7, P63, DOI [10.13101/ijece.7.63, DOI 10.13101/IJECE.7.63]
  • [7] Huffman G., 2018, GPM IMERG FINAL PREC
  • [8] Instrumental lahar monitoring at Merapi Volcano, Central Java']Java, Indonesia
    Lavigne, F
    Thouret, JC
    Voight, B
    Young, K
    LaHusen, R
    Marso, J
    Suwa, H
    Sumaryono, A
    Sayudi, DS
    Dejean, M
    [J]. JOURNAL OF VOLCANOLOGY AND GEOTHERMAL RESEARCH, 2000, 100 (1-4) : 457 - 478
  • [9] Preliminary Results of Weather Radar Observations of Sakurajima Volcanic Smoke
    Maki, Masayuki
    Iguchi, Masato
    Maesaka, Takeshi
    Miwa, Takahiro
    Tanada, Toshikazu
    Kozono, Tomofumi
    Momotani, Tatsuya
    Yamaji, Akihiko
    Kakimoto, Ikuya
    [J]. JOURNAL OF DISASTER RESEARCH, 2016, 11 (01) : 15 - 30
  • [10] Mechanism of Volcanic Tephra Falling Detected by X-Band Multi-Parameter Radar
    Oishi, Satoru
    Iida, Masahiro
    Muranishi, Masahide
    Ogawa, Mariko
    Hapsari, Ratih Indri
    Iguchi, Masato
    [J]. JOURNAL OF DISASTER RESEARCH, 2016, 11 (01) : 43 - 52