• Title/Summary/Keyword: long gauge sensor

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Analysis of the risk of further oil spill from Sunken lanker, 'Kyung-Shin' (침몰 유조선 경신호의 추가 해양오염 가능성에 관한 연구)

  • Choi Hyuek-Jin;Byun Sung-Hoon;Lee Moon-Jin;Kang Chang-Gu
    • Journal of the Korean Society for Marine Environment & Energy
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    • v.5 no.4
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    • pp.63-73
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    • 2002
  • This paper presents the results of a ten-day long survey for assessing the possibility of further oil spillage from the sunken tanker, Kyung-Shin(995 G/T), which had sunken in the East Sea, off Pohang City, in February 1988. The survey was conducted using remotely operated vehicle(ROV), manned submersible and ultrasonic thickness gauge in September 2001. The external inspection by the optical camera shows that small scale oil spill has been continued from the sunken ship. It's hull thickness was also measured at several points of the ship, using an ultrasonic sensor for assessing the current corrosion status of the sunken ship. Taking into account the results of this survey and the existing salvage report, it is estimated that the remaining oil in the tanker is approximately 600 ㎘, and this oil could be leaked into marine environment due to continuous severe corrosion if no preventive is taken.

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Development of an Integrated Forecasting and Warning System for Abrupt Natural Disaster using rainfall prediction data and Ubiquitous Sensor Network(USN) (농촌지역 돌발재해 피해 경감을 위한 USN기반 통합예경보시스템 (ANSIM)의 개발)

  • Bae, Seung-Jong;Bae, Won-Gil;Bae, Yeon-Joung;Kim, Seong-Pil;Kim, Soo-Jin;Seo, Il-Hwan;Seo, Seung-Won
    • Journal of Korean Society of Rural Planning
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    • v.21 no.3
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    • pp.171-179
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    • 2015
  • The objectives of this research have been focussed on 1) developing prediction techniques for the flash flood and landslide based on rainfall prediction data in agricultural area and 2) developing an integrated forecasting system for the abrupt disasters using USN based real-time disaster sensing techniques. This study contains following steps to achieve the objective; 1) selecting rainfall prediction data, 2) constructing prediction techniques for flash flood and landslide, 3) developing USN and communication network protocol for detecting the abrupt disaster suitable for rural area, & 4) developing mobile application and SMS based early warning service system for local resident and tourist. Local prediction model (LDAPS, UM1.5km) supported by Korean meteorological administration was used for the rainfall prediction by considering spatial and temporal resolution. NRCS TR-20 and infinite slope stability analysis model were used to predict flash flood and landslide. There are limitations in terms of communication distance and cost using Zigbee and CDMA which have been used for existing disaster sensors. Rural suitable sensor-network module for water level and tilting gauge and gateway based on proprietary RF network were developed by consideration of low-cost, low-power, and long-distance for communication suitable for rural condition. SMS & mobile application forecasting & alarming system for local resident and tourist was set up for minimizing damage on the critical regions for abrupt disaster. The developed H/W & S/W for integrated abrupt disaster forecasting & alarming system was verified by field application.