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A Study on Optimal Site Selection for the Artificial Recharge System Installation Using TOPSIS Algorithm
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 Title & Authors
A Study on Optimal Site Selection for the Artificial Recharge System Installation Using TOPSIS Algorithm
Lee, Jae One; Seo, Minho;
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 Abstract
This paper is intended to propose a novel approach to select an optimal site for a small-scaled artificial recharge system installation using TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) with geospatial data. TOPSIS is a MCDM (Multi-Criteria Decision Making) method to choose the preferred one of derived alternatives by calculating the relative closeness to an ideal solution. For applying TOPSIS, in the first, the topographic shape representing optimal recovery efficiency is defined based on a hydraulic model experiment, and then an appropriate surface slope is determined for the security of a self-purification capability with DEM (Digital Elevation Model). In the second phase, the candidate areas are extracted from an alluvial map through a morphology operation, because local alluvium with a lengthy and narrow shape could be satisfied with a primary condition for the optimal site. Thirdly, a shape file over all candidate areas was generated and criteria and their values were assigned according to hydrogeologic attributes. Finally, TOPSIS algorithm was applied to a shape file to place the order preference of candidate sites.
 Keywords
Artificial Recharge;GIS;DEM;Local Alluvium;TOPSIS;
 Language
English
 Cited by
 References
1.
Burnett, D. (2011), Use of remote sensing for groundwater mapping in Haiti, Earthzine, New Jersey, http://earthzine.org/2011/11/22/use-of-remote-sensing-for-groundwater-mapping-in-haiti (last date accessed: 15 September 2015).

2.
Chaudhary, B.S., Kumar, M., Roy, A.K., and Ruhal, D.S. (1996), Applications of remote sensing and geographic information systems in ground water investigations in Sohna Block, Gurgaon District, Haryana (India), International Archives of Photogrammetry and Remote Sensing, Vol. XXXI, Part B6, pp. 18-23.

3.
Jeong, H., Kim, Y., Kim, N., Ahn, Y., Lee, J., Lee, M., Cha, J., Ju, J., Kim, C., Kim, N., Kim, H., Jeong, H., Kim, J., and Kang, W. (2013), Groundwater Basic Investigation in Go-seong Province, Government publications No. 11-1613000-000141-01, Korea Water Resources Corporation, Dae-jun, South Korea, pp. 3-64.

4.
Kim, Y. and Kim, Y. (2009), Groundnwater artificial recharge technique corresponding to climate change, Magazine of Korea Water Resources Association, Vol. 42, No. 5, pp. 58-65. (in Korean)

5.
Kim, Y. and Kim, Y. (2010), A review on the state of the art in the management of aquifer recharge, Journal of the Geological Society of Korea, Vol. 46, No. 5, pp. 521-533. (in Korean with English abstract)

6.
Lee, S., Kim, Y., and Won, J. (2006), Groundwater resources potential mapping and its verification using GIS and remote sensing in Pohang city, The Journal of GIS Association of Korea, Vol. 14, No.1, pp. 115-128. (in Korean with English abstract)

7.
Lee, J., Seo, M., and Han, C. (2015a), The method of site selection for the artificial recharge of groundwater using geospatial data, The Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 33, No. 5, pp. 427-436. (in Korean with English abstract) crossref(new window)

8.
Lee, J., Seo, M., and Han, C. (2015b), The method of site selection for small-scaled groundwater development using topography factor, Proceedings of 2015 KSGPC Annual Conference, KSGPC, 23-24 April, Masan, South Korea, pp. 277-280.

9.
Monjezi, M., Dehgahni, H., Singh, T.N., Sayadi, A.R., and Gholinejad, A. (2012), Application of TOPSIS method for selecting the most appropriate blast design, Saudi Society for Geoscience, Vol. 5, No. 1, pp. 95-101.

10.
Saraf, A.K. and Choudhury, P.R. (1998), Integrated remote sensing and GIS for ground water exploration and identification of artificial recharge sites, International Journal of Remote Sensing, Vol. 19, No. 19, pp. 1825-1841. crossref(new window)

11.
Seo, J., Kim, Y., and Kim, J. (2011), Site prioritization for artificial recharge in Korea using GIS mapping, Journal of Soil and Groundwater Environment Vol. 16, No. 6, pp. 66-78. (in Korean with English abstract) crossref(new window)

12.
Taheri, A. (2008), Site selection for artificial recharging of groundwater by application of geoelectrical method-a case study, Bulletin of the Geological Society of Malaysia, Vol. 54, pp. 63-69.