Smartphones change the picture of data and information sharing and make it possible to share various real-time flooding data and information. The vulnerability indicators of farmland inundation is needed to calculate the risk of farmland flood based on changeable hydro-meteorological data over time with morphologic characteristics of flood-damaged areas. To find related variables show the vulnerability of farmland inundation using the binary-logit model and correlation analysis and to provide vulnerability indicators were estimated by fuzzy set method. The outputs of vulnerability indicators were compared with the results of Monte Carlo simulation (MCS) for verification. From the result vulnerability indicators are applicable to mobile_based information system of farmland inundation.

• 은상규(서울대학교 생태조경·지역시스템공학부) | Eun, Sangkyu
• 김태곤( 서울대학교 생태조경·지역시스템공학부) | 김태곤
• 이지민( 서울대학교 농업생명과학연구원) | 이지민
• 장민원( 경상대학교 농업생명과학대학 지역환경기반공학과, 경상대학교 농업생명과학연구원) | 장민원
• 서교( 서울대학교 조경·지역시스템공학부, 서울대학교 농업생명과학연구원, 그린바이오과학기술연구원) | 서교