논문 상세보기
pp.171-179
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.
II. 시스템 구성
1. 시스템 개요
2. 강우예측자료의 선정
3. 돌발재해 모의기법 및 경보기준 설정
4. 농촌지역에 적합한 돌발재해 감지용 USN 개발및 통신 네트워크 구성
5. 앱기반 돌발재해 예경보시스템 구축
III. 시스템 구현 및 적용
1. 대상지역 선정 및 자료 구축
2. USN 모듈, 게이트웨이 및 통신 프로토콜 개발
3. ANSIM 구현 및 적용
IV. 요약 및 결론
References
