caa a22 4500 467922292 CHVBK 20180406152920.0 cr unu---uuuuu 170328e20060901xx s 000 0 eng 10.1007/s00477-006-0034-9 doi (NATIONALLICENCE)springer-10.1007/s00477-006-0034-9 Application of grey correlation method to evaluate potential groundwater recharge sites [Elektronische Daten] [H. Gau, C. Hsieh, C. Liu] Artificial recharge is a practical tool available for increasing the groundwater storage capacity. The efficiency of artificial recharge is related to various hydrogeological factors of the target area. In this study, a variable saturated groundwater flow model, FEMWATER, was used to evaluate the arrival times of recharged water that infiltrates from an artificial recharge pond to the groundwater table under various hydrogeological conditions. Forty-five arrival times were generated by FEMWATER. The relationships between the arrival times and hydrogeological factors used in the simulation of FEMWATER were analyzed by the grey correlation method. The results show the order of importance of the factors as they influence the arrival time. In order from high to low importance, they are α, D g, θ e, D p, K S and β. D g and D p are interpreted as the potential for movement of the recharge water; θe is the water storage capacity of soil, and K S represents the ability of soil to transport water. α and β describe the characteristic curve of the unsaturated soil. The method was applied to evaluate a suitable site for artificial recharge in the Yun-Lin area. Grey correlation analysis was performed to obtain the grey correlation grade using the minimum arrival time as a reference sequence. An index is proposed herein to determine the recharge efficiency of 20 sampling sites. A contour mapping of index values at the 20 sampling sites identified three areas for artificial aquifer recharge in Yun-Lin. Area A in the upper plain is considered more appropriate for groundwater recharge than areas B and C in the coast. Springer-Verlag, 2006 Artificial recharge nationallicence Grey correlation analysis nationallicence Site selection nationallicence Numerical simulation nationallicence Gau H. Department of Environmental Engineering and Science, Tajen Institute of Technology, 907, Ping-Tung, Taiwan, R.O.C aut Hsieh C. Department of Environmental Engineering and Science, Tajen Institute of Technology, 907, Ping-Tung, Taiwan, R.O.C aut Liu C. Department of Bioenvironmental Systems Engineering, National Taiwan University, 106, Taipei, Taiwan, R.O.C aut Stochastic Environmental Research and Risk Assessment Springer-Verlag 20/6(2006-09-01), 407-421 1436-3240 20:6<407 2006 20 477 https://doi.org/10.1007/s00477-006-0034-9 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00477-006-0034-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Gau H. Department of Environmental Engineering and Science, Tajen Institute of Technology, 907, Ping-Tung, Taiwan, R.O.C aut NATIONALLICENCE 700 1- Hsieh C. Department of Environmental Engineering and Science, Tajen Institute of Technology, 907, Ping-Tung, Taiwan, R.O.C aut NATIONALLICENCE 700 1- Liu C. Department of Bioenvironmental Systems Engineering, National Taiwan University, 106, Taipei, Taiwan, R.O.C aut NATIONALLICENCE 773 0- Stochastic Environmental Research and Risk Assessment Springer-Verlag 20/6(2006-09-01), 407-421 1436-3240 20:6<407 2006 20 477 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer