데이터 사이언스 기술의 지하수 분야 응용 사례 분석 및 발전 방향

초록

Rapid development of geophysical exploration and hydrogeologic monitoring techniques has yielded remarkable increaseof datasets related to groundwater systems. Increased number of datasets contribute to understanding of general aquifercharacteristics such as groundwater yield and flow, but understanding of complex heterogenous aquifers system is still achallenging task. Recently, applications of data science technique have become popular in the fields of geophysicalexplorations and monitoring, and such attempts are also extended in the groundwater field. This work reviewed currentstatus and advancement in utilization of data science in groundwater field. The application of data science techniquesfacilitates effective and realistic analyses of aquifer system, and allows accurate prediction of aquifer system change inresponse to extreme climate events. Due to such benefits, data science techniques have become an effective tool toestablish more sustainable groundwater management systems. It is expected that the techniques will further strengthen thetheoretical framework in groundwater management to cope with upcoming challenges and limitations.

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