1. APHA (1998) Standard methods for the examination of water and waste water, 20th ed., American Public Health Assoc., Washington, DC., 413-426.
2. Auroux, D., and J. Blum (2008), A nudging-based data assimilation method: the Back and Forth Nudging (BFN) algorithm, Nonlin.
Processes Geophys., 15, 305–319.
3. Anderson, M,P. (2005) Heat as a ground water tracer. Ground Water 43/6, 951-968.
4. Becker, L. and Yeh, W. W-G. (1972), Identification of parameters in unsteady open channel flows, Water Resour. Res., 8(4), 956-965.
5. Bear, J. (1988), Dynamics of Fluids in Porous Media, Dover Pubbl.
New York.
6. Bromley, J., W. M. Edmunds, E. Fellman, J. Brouwer, S. R. Gaze, J.
Sudlow,and J. D. Taupin (1997) Estimation of rainfall inputs and direct recharge to the deep unsaturated zone of southern Niger using the chloride profile method, Journal of Hydrology, Vol. 188-189, P.139-154.
7. Barlow, P.M. and Moench, A.F. (1999) WTAQ- a computer program for calculating drawdowns and estimating hydraulic properties for confined and water-table aquifers. U.S. Geological Survey Water-Resources Investigations Report 99-4225, 74p.
8. Britt, S.L. (2005) Testing the In-Well Horizontal Laminar Flow Assumption with a Sand. Tank Well Model. Ground Water Monitoring and Remediation 25/3, 73-81.
9. Drusch, M. (2007), Initializing numerical weather prediction models with satellite-derived surface soil moisture: data assimilation experiments with ECMWF’s Integrated Forecast System and TMI soil moisture data set, J. Geophys. Res., 112, doi:10.1029/2006JD007478.
10. Farrar C. D., L. F. Metzger, T. Nishikawa, K. M. Koczot, and E. G.
Reichard (2006), Geohydrologic characterization, water-chemistry, and ground-water flow simulation model of the Sonoma valley area, Sonoma county, California, Scientific Investigations Report 2006-5092, U. S. Geological Survey, Reston, Virgin.
11. Gehrels J. C., F. C. van Geer, and J. J. de Vries (1994), Decomposition of groundwater level fluctuations using transfer modeling in an area with shallow to deep unsaturated zones, J.
Hydrol., 157, 105-138.
12. Hoke J., and R. A. Anthes (1976), The initialization of numerical models by a dynamic initialization technique, Mon. Weather Rev., 104, 1551–1556.
13. H. Ii, Y. Ohtsuka, N. Mori, T. Inagaki and S. Misawa(1996) Effective porosity and specific yield of a sedimentary rock determined by a field tracing test using tritium as a tracer. Environmental Geology, Volume 27, Number 3, 170-177.
14. Houser P. R., W. J. Shuttleworth, J. S. Famiglietti, H. V. Gupta, K. H.
Syed, and D. C. Goodrich (1998), Integration of soil moisture remote sensing and hydrologic modeling using data assimilation, Water Resour. Res., 34(12), 3405–3420.
15. Harbaugh A. W., E. R. Banta, M. C. Hill, and M. G. McDonald (2000), MODFLOW-2000, The U.S. Geological Survey modular ground-water model – user guide to modularization concepts and the ground-water flow process, U.S. Geological Survey open-file report 00-92.
16. Healy R. W., and P. G. Cook (2002), Choosing appropriate techniques for quantifying groundwater recharge, Hydrogeol. J., 10(1), 91–109, doi:10.1007/s10040-001-0178-0.
17. Hanson, R. T., P. Martin, and K. M. Koczot (2003), Simulation of Ground-Water/Surface-Water Flow in the Santa Clara–Calleguas Ground-Water Basin, Ventura County, California. U.S. Geological Survey open-file report 02-4136.
18. Harter, T. (2003), Legal Control of California’s Water Resources, University of California, Division of Agricultural and Natural Resources, Oakland, CA.
19. Hurkmans R., C. Paniconi, and P. A. Troch (2006), Numerical assessment of a dynamical relaxation data assimilation scheme for a catchment hydrological model, Hydrol. Process., 20, 549 -563.
20. Ide K., P. Courtier, M. Ghil, A. C. Lorenc (1997), Unified notation for data assimilation: operational, sequential and variational, J. Met.
Soc. Japan., 75(1B), 181-189.
21. Jasrotia, A.S.,R. Kumar,A. K. Saraf (2007) Delineation of groundwater recharge sites using integrated remote sensing and GIS in Jammu district, India, International Journal of Remote Sensing, Volume 28 , Issue 22 , Pages 5019-5036,November.
22. Johnson, A.I. (1967) Specific yield- compilation of specific yields for various materials. U.S.G.S. Water-Supply Paper, 162-D, 74p.
23. Kendall, M.G. (1975) Rank correlation methods. 4th ed. Charles Griffin, London.
24. Koczot, K. M. (1996). Estimating rates and patterns of historical ground-water pumpage for irrigation using a geobased numerical model. Thesis (M.A.)--San Diego State University, 1996.
25. Lorenc, A. C. (1986), Analysis methods for numerical weather prediction. Quart. J. R. Met. Soc., 112, 1177-1194.
26. Li, Z. and Navon, I. M. (2001). Optimality of variational data
assimilation and its relationship with the Kalman filter and smoother.
Q. J. R. Meteorol. Soc. 127B, 661–684.
27. Lin, Y.-C. and H.-D. Yeh (2008), Identifying groundwater pumping source information using simulated annealing, Hydrol. Process. 22, 3010-3019.
28. Mondal, N. C. and V. S. Singh (2004) A new approach to delineate the groundwater recharge zone in hard rock terrain,Current Science, Vol. 87, 5, 10.
29. Miguez-Macho, G., G. L. Stenchikov, and A. Robock (2004), Spectral nudging to eliminate the effects of domain position and geometry in regional climate model simulations, J. Geophys. Res., 109, D13104, doi:10.1029/2003JD004495.
30. Morgan L (2005) Critical aquifer recharge areas guidance document, Washington State Department of Ecology, Water Quality Program, 69p.
31. McPhee, J., and W. W-G., Yeh (2006), Experimental Design for Groundwater Modeling and Management, Water Resour. Res., 42, W02408, doi:10.1029/2005WR003997.
32. Nichols, N.K. (2003), Data assimilation: aims and basic concepts, in Data Assimilation for the Earth System, Nato ASI Science, IV Earth and Environmental Sciences, vol. 26, edited by R. Swinbak, et al. pp.
9-21, Kluwer Academics Publ., Dordrecth.
33. Pacione R., C. Sciarretta, C. Faccani, R. Ferretti, F. Vespe (2001), GPS PW assimilation into MM5 with the nudging technique, Physics and Chemistry of the Earth, Part A: Solid Earth and Geodesy Volume 26, Issues 6-8, Proceedings of the First COST Action 716 Workshop Towards Operational GPS Meteorology and the Second Network Workshop of the International GPS Service (IGS), 481-485.
34. Pauwels V. R. N., R. Hoeben, N. E. C. Verhoest, and F. P. D. Troch (2001), The importance of the spatial patterns of remotely sensed soil moisture in the improvement of discharge predictions for small-scale basins through data assimilation, J. Hydrol., 251, 88-102.
35. Paniconi C., M. Marrocu, M. Putti, and M. Verbunt (2003), Newtonian nudging for a Richards equation-based distributed hydrological model, Adv. Water Resour., 26, 161-178.
36. Prinos S., R. Irvin, and M. Byrne (2004), Water resources data Florida water year 2004 Volume 2B: South Florida – Groundwater, U.S. Geological Survey Water-Data Report FL-04-2B.
37. Quarteroni, A. and A. Valli (1997), Numerical Approximation of Partial Differential Equations, Springer Series in Computational Mathematics 23. Springer, Berlin.
38. Ruud N., T. Harter, A. Naugle (2004), Estimation of groundwater pumping as closure to the water balance of a semi-arid, irrigated
agricultural basin, J. of Hydrol., 297, 51–73.
39. Stauffer D. R., and N. L. Seaman (1990), Use of four-dimensional data assimilation in a limited-area mesoscale model Part I:
Experiments with synoptic-scale data, Mon. Wea. Rev., 118(6), 1250–1277.
40. Stauffer D. R., N. L. Seaman, and F. S. Binkowski (1991), Use of four-dimensional data assimilation in a limited-area mesoscale model Part II: effects of data assimilation within the planetary boundary layer, Mon. Wea. Rev., 119(3), 734-754.
41. Stiles B. W., B. D. Pollard, and R. S. Dunbar (2002), Direction Interval Retrieval With Thresholded Nudging: A Method for Improving the Accuracy of QuikSCAT Winds, IEEE Transactions on Geoscience and Remote Sensing, 40(1), 79-89.
42. Sanford W. (2002), Recharge and groundwater models: an overview, Hydrogeol. J., 10(1), 110–120, doi:10.1007/s10040-001-0173-5.
43. Scanlon B. R., R. W. Healy, and P. G. Cook (2002), Choosing appropriate techniques for quantifying groundwater recharge, Hydrogeol. J., 10(1), 18–39, doi:10.1007/s10040-001-0176-2.
44. Schwartz, F.W., and Zhang, H. (2003) Fundamentals of ground water, John Wiley & Sons, New York.
45. Ting, C.S.(1997),” Groundwater resources evaluation and management for Pingtung Plain, Taiwan,” PHD. Thesis of Free University, Amsterdam.
46. Troch, P., C. Paniconi, and D. McLouglin (2003), Catchment-scale hydrological modeling and data assimilation, Adv. Water Resour., 26(2), 131-135.
47. Tung, C.-P., C.-A. Chou (2004), Pattern classification using tabu search to identify the spatial distribution of groundwater pumping, Hydrogeol. J., 12, 488–496, doi:10.1007/s10040-004-0344-2.
48. Verron, J. (1990), Altimeter data assimilation into an ocean circulation model: sensitivity to orbital parameters, J. Geophys. Res., 95(C7), 443–459.
49. Vidard, P.A., F.-X. Le Dimet, and A. Piacentini (2003), Determination of optimal nudging coefficients, Tellus, 55a, 1-15.
50. Willis, R. and W. W.-G. Yeh (1987), Groundwater Systems Planning and Management: Planning and Management. Prentice-Hall.
51. Yeh, W. W-G. (1986), Review of parameter identification procedures in groundwater hydrology: the inverse problem, Water Resour. Res., 22(1), 95-108.
52. Yeh, W. W-G. (1992), Systems analysis in ground-water planning and management, J. Water Resour. Plann. Manage., 118(3), 224-237.
53. Yeh, H.F., Lee, C.H., Hsu, K.C., and Chang, P.H. (2008) GIS for the assessment of the groundwater recharge potential zone. Environ.
Geol., Vol. 58, 185-195. 擬及補注量估算之研究，土木水利，Vol.22, No.4, pp.35-45。
62. 張秉權、曾鈞敏，1995，屏東平原地下水數學模式之應用分析，
經濟部水資源統一規劃委員會。
63. 張良正、蔡威平、陳宇文，1999b，屏東地區地下水補注量推估 及分級，第三屆地下水資源及水質保護研討會，pp.65-76
64. 劉聰桂，1996，臺灣地區地下水觀測網第一期計畫，觀測網之建 立及運作管理八十五年度子計畫報告，地下水定年分析研究：水 利局，第1-1 至 8-43 頁。
65. 曹敏中，丁澈士，陳秋楊，1997，新園地區地下水污染防治之研 究，技職學刊，Vol.12, No.1, pp.159-169。
66. 葉文工，1998，台灣沿海地區地下水超抽改善方案研擬與評估，