Suggestion of Classification Method for Agricultural Drought Using Groundwater Level Change

Since weather factors such as precipitation and temperature etc. show repeated patterns every year, it can be said that future changes predicted by analyzing past data. Therefore, when a drought occurs, the groundwater level is also lowered, so seen change in represent drought. Like precipitation, have high correlation with drought, many researchers use SGI (standardized index) to which SPI method applied evaluate severity of predict trends. However, these approaches limitations indicate real system because grades for entire area are defined observation data single monitoring well without surrounding influences. When fluctuations understand necessary calculate apply actual reflects interference. this study, based on long-term at 162 installed before 2015 Korea, characteristics were analyzed compared period agricultural over five years. From results, confirmed regions classified using percentile conducting frequency analysis current increase or decrease average level.