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Selection of Optimal Locations of Groundwater Tubular Wells based on Spatial Statistical Analysis Techniques

Affiliations

  • Department of GIS Engineering, University of Namseoul, 91, Daehak-ro, Seonghwan-eup, Seobuk-gu, Cheonan-si, 31020

Abstract


Objectives: To find optimal locations for groundwater tubular wells by analyzing the spatial areas of influence in GIS to assess groundwater tubular wells and analyze their development potential. Methods/Statistical Analysis: The candidates of new tubular well development was selected according to the procedure of the GIS spatial analysis based on the spatial data of location, contamination vulnerability, current land usage, and topographic map of tubular wells, the GIS analysis results based on overlapping and analysis of area of influence, union data, dissolve data, clip data, and DRASTIC index. Findings: The rational development and utilization of groundwater tubular wells, which are an approach to secure local water supply and are expected to offer a relatively stable water supply, is a very important topic to decision-makers at local governments. Previous studies on the development of groundwater focused on the contamination and utilization features of groundwater and can thus be used as important findings to solve environmental issues, but they do not reflect the needs of groundwater development from the perspective of supply right by putting together the local characteristics. This study thus set out to evaluate old tubular wells by analyzing the spatial areas of influence of subject areas and select optimal locations for tubular wells by analyzing their development potential, thus proposing candidate locations for tubular well development and water supply amounts and providing basic data needed to make plans for local water supply. Improvements/Applications: The meaningful findings regarding groundwater development can serve the staff members in charge of the affair at local governments as basic data.

Keywords

DRASTIC Index, GIS, Groundwater Tubular, Spatial analysis, Topographic Map.

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