DETECTION SYSTEM FOR DETERMINISTIC EARTHQUAKE PREDICTION BASED ON RADON CONCENTRATION CHANGES IN INDONESIA

被引:0
|
作者
Sunarno [1 ]
Firdaus, Herlambang L. [1 ]
Luckyarno, Yakub F. [1 ]
Waruwu, Memory M. [2 ]
Wijaya, Rony [3 ]
机构
[1] Univ Gadjah Mada, Dept Nucl Engn & Engn Phys, Fac Engn, Jalan Graf 2, Bulaksumur 55283, Yogyakarta, Indonesia
[2] Univ Gadjah Mada, Lab Sensor & Telecontrol Syst, Fac Engn, Jalan Graf 2, Bulaksumur 55283, Yogyakarta, Indonesia
[3] Univ Gadjah Mada, Unit Prod House, Fac Med, Jalan Farmako, Sekip Utara 55281, Yogyakarta, Indonesia
来源
关键词
Earthquake; Detector system; Precursor; Prediction; Radon concentration;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Radon concentration changes are one of the natural anomalies that occur before an earthquake occurs. These events can be used as a medium to predict earthquakes. The detection system contains an ionization chamber, signal processor, system controller, data storage and electrical power supply. The detector placed on a chamber room to capture the accumulate radon emission is collected in the room. The detection system that has been developed is expected to be the first step to conduct studies on earthquake predictions. The detector system shows detection of the earthquake precursors anomaly which is radon concentration changes. To validate the results of this study, data that has been recorded on data storage media will be compared with secondary data from BMKG (Indonesian Meteorology, Climatology and Geophysics Agency). From June until August 2018, the radon concentration has a change of 0.1 pCi/l to 0.6 pCi/l respectively; the earthquake occurs within the next three days. This shows a fresh breeze in the earthquake prediction study field that the changes in radon concentration in Yogyakarta can be used as a medium to predict earthquakes. This report is in order to provide valuable information about the development system that can be used for earthquake prediction, although further studies and development of instrumentation systems from other earthquake precursor anomalies are needed.
引用
收藏
页码:1787 / 1798
页数:12
相关论文
共 50 条
  • [41] Detection of tropical cyclone track changes from the ECMWF ensemble prediction system
    Tsai, Hsiao-Chung
    Elsberry, Russell L.
    GEOPHYSICAL RESEARCH LETTERS, 2013, 40 (04) : 797 - 801
  • [42] Shelf Life Prediction of Milk Powder Based on Changes in Headspace Oxygen Concentration in Packaging
    Cai J.
    Lu L.
    Lu L.
    Pan L.
    Shipin Kexue/Food Science, 2023, 44 (01): : 209 - 214
  • [43] Distributed Intrusion Detection System based on Anticipation and Prediction Approach
    Benmoussa, Hajar
    Abou El Kalam, Anas
    Ait Ouahman, Abdallah
    2015 12TH INTERNATIONAL JOINT CONFERENCE ON E-BUSINESS AND TELECOMMUNICATIONS (ICETE), VOL 4, 2015, : 343 - 348
  • [44] FPGA-Based Pedestrian Detection for Collision Prediction System
    Cambuim, Lucas
    Barros, Edna
    SENSORS, 2022, 22 (12)
  • [45] Design of Real-Time Detection System of Bacteria Concentration Changes in Biological Fermentation
    Jiang, Weiwei
    Shan, Jinbao
    ADVANCED HYBRID INFORMATION PROCESSING, ADHIP 2019, PT II, 2019, 302 : 409 - 418
  • [46] Air Quality Monitoring System: Towards IoT based system for Air Pollutant Concentration Prediction
    AbdulWahhab, Rasha Shakir
    2020 10TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER INFORMATION TECHNOLOGIES (ACIT), 2020, : 311 - 316
  • [47] Design and test of cesium atomic concentration detection system based on TDLAS
    Liang, Lizhen
    Liu, Shanhu
    Wu, Yong
    Wei, Jianglong
    Xie, Yahong
    OPTOELECTRONICS LETTERS, 2025, 21 (03) : 167 - 171
  • [48] Adaptive network based on fuzzy inference system for equilibrated urea concentration prediction
    Azar, Ahmad Taher
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2013, 111 (03) : 578 - 591
  • [49] Compact DNA Droplet Concentration Detection System Based on Impedance Measurement
    Park, Ji-Seong
    Lee, Mi-So
    Park, Chan-Young
    Kim, Yu-Seop
    Song, Hye-Jeong
    Kim, Jong-Dae
    SENSORS AND MATERIALS, 2020, 32 (07) : 2345 - 2354
  • [50] Methane Concentration Detection System for Cigarette Smoke Based on TDLAS Technology
    Yang Ke
    Zhang Long
    Wu Xiao-song
    Li Zhi-gang
    Wang An
    Liu Yang
    Ji Min
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2015, 35 (12) : 3310 - 3314