• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2002.10a
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• pp.257-260
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• 2002

This study develops a GIS-based system which examines the adequacy of the Groundwater development project before the actual designing of the project. Using the system developed here, we can transfer simulation results obtained by WHPA regarding Groundwater levels in new development projects into GIS. We can also judge whether a Groundwater development project should be permitted through examining overlaps of the effects of the development and comparing with other pollutants. Since a two-tiered system which shares DB using inter- and intranets is developed, all the departments in the ministry of agriculture and forest and the agriculture base corporation can share accurate, reliable and latest information related to Groundwater.

• Journal of Korea Water Resources Association
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• v.54 no.7
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• pp.485-493
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• 2021

Groundwater is an important water resource that can be used along with surface water. In particular, in the case of island regions, research on groundwater level variability is essential for stable groundwater use because the ratio of groundwater use is relatively high. Researches using artificial intelligence models (AIs) for the prediction and analysis of groundwater level variability are continuously increasing. However, there are insufficient studies presenting evaluation criteria to judge the appropriateness of groundwater level prediction. This study comprehensively analyzed the research results that predicted the groundwater level using AIs for various regions around the world over the past 20 years to present the range of allowable groundwater level prediction errors. As a result, the groundwater level prediction error increased as the observed groundwater level variability increased. Therefore, the criteria for evaluating the adequacy of the groundwater level prediction by an AI is presented as follows: less than or equal to the root mean square error or maximum error calculated using the linear regression equations presented in this study, or NSE ≥ 0.849 or R² ≥ 0.880. This allowable prediction error range can be used as a reference for determining the appropriateness of the groundwater level prediction using an AI.

• Spatial Information Research
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• v.9 no.2
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• pp.207-225
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• 2001

This study develops a GIS-based system which examines the adequacy of the Groundwater development project before the actual designing of the project. A system environment is constructed in order to efficiently and scientifically manage and analyze data related to Groundwater through a Server/Client environment. For this programs such as GIS S/W ArcVies3.2, RDBMS ORACLE, ArcSDE (Spatial Database Engine) are used. WHPA and AQTESOLV are employed as a underground water simulation program and Scripts, a language for ArcView, is used to develop graphic user interface (GUI). Using the system developed here, we can transfer simulation results obtained by WHPA regarding Groundwater levels in new development projects into GIS. We can also judge whether a Groundwater development project should be permitted through examining overlaps of th effects of the development and comparing with o pollutants. At the same time, the system has a feature of supporting Groundwater development and based designing through judging the proper amount of Groundwater in a new project. It is also possible to easily and quickly prepare charts and reports using the outputs of the system. Since a two-tiered system which shares DB using inter-and intranets is developed, all the departments in the ministry of agriculture and forest and the agriculture base corporation can share accurate, reliable and latest information related to Groundwater.