인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
개인구독
소속 기관이 없으신 경우, 개인 정기구독을 하시면 저렴하게
논문을 무제한 열람 이용할 수 있어요.
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Drought is considered as a devastating hazard that causes serious agricultural, ecological and socio-economic impacts worldwide. Fundamentally, thedrought can be defined as temporarily different levels of inadequate precipitation, soil moisture, and water supply relative to the long-term averageconditions. From no unified definition of droughts, droughts have been divided into different severity level, i.e., moderate drought, severe drought,extreme drought and exceptional drought. The drought severity classification defined the ranges for each indicator for each dryness level. Becausethe ranges of the various indicators often don’t coincide, the final drought category tends to be based on what the majority of the indicators showand on local observations. Evaporative Stress Index (ESI), a satellite-based drought index using the ratio of potential and actual evaporation, is beingused as a index of the droughts occurring rapidly in a short period of time from studies showing a more sensitive and fast response to droughtcompared to Standardized Precipitation Index (SPI), and Palmer Drought Severity Index (PDSI). However, ESI is difficult to provide an objectivedrought assessment because it does not have clear drought severity classification criteria. In this study, U.S. Drought Monitor (USDM), the standardfor drought determination used in the United States, was applied to ESI, and the Percentile method was used to classify drought categories by severity. Regarding the actual 2017 drought event in South Korea, we compare the spatial distribution of drought area and understand the USDM-based ESIby comparing the results of Standardized Groundwater level Index (SGI) and drought impact information. These results demonstrated that theUSDM-based ESI could be an effective tool to provide objective drought conditions to inform management decisions for drought policy.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.