A lumped conceptual model to simulate groundwater level time-series

Environmental Modelling and Software

Volumn 61, Issue , 2014, Pages 229-245

  Mackay, J D ^a   Jackson, C R ^a   Wang, L ^a  

^a BRITISH GEOLOGICAL SURVEY   (United Kingdom)

Author keywords

AquiMod; Groundwater level simulation; Lumped conceptual modelling; Observation borehole hydrograph

Indexed keywords

AQUIMOD; CONCEPTUAL MODEL; CONCEPTUAL MODELLING; HYDROGRAPHS;

GROUNDWATER;

CHALK; CONCEPTUAL FRAMEWORK; GROUNDWATER; HETEROGENEITY; HYDROGRAPHIC SURVEY; PARAMETERIZATION; SANDSTONE; SIMULATION; TIME SERIES; UNCONFINED AQUIFER;

UNITED KINGDOM;

EID: 84908266773     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2014.06.003     Document Type: Article

References (87)

1. Adams B., Bloomfield J.P., Gallagher A., Jackson C., Rutter H., Williams A. FLOOD 1. Final Report 2008, British Geological Survey Open Report (OR/08/055).
2. Aflatooni M., Mardaneh M. Time series analysis of ground water table fluctuations due to temperature and rainfall change in Shiraz plain. Int. J. Water Resour. Environ. Eng. 2011, 3:176-188.
3. Ahn H. Modeling of groundwater heads based on second-order difference time series models. J.Hydrol. 2000, 234:82-94.
4. Allen D.J., Brewerton L.J., Coleby L.M., Gibbs B.R., Lewis M.A., MacDonald A.M., Wagstaff S.J., Williams A.T. The Physical Properties of Major Aquifers in England and Wales 1997, vol. 8. Environment Agency R&D Publication, British Geological Survey Technical Report (WD/97/34).
5. Allen R.G., Pereira L.S., Raes D., Smith M. Crop Evapotranspiration - Guidelines for Computing Crop Water Requirements - FAO Irrigation and Drainage Paper 56 1998, Food and Agriculture Organization of the United Nations.
6. Alley W.M., Healy R.W., LaBaugh J.W., Reilly T.E. Flow and storage in groundwater systems. Science 2002, 296:1985-1990.
7. Anaya R., Wanakule N. ALumped Parameter Model for the Edwards Aquifer 1993, Texas Water Resources Institute.
8. Atkinson T.C. Diffuse flow and conduit flow in limestone terrain in the Mendip Hills, Somerset (Great Britain). J.Hydrol. 1977, 35:93-110.
9. Barrett M.E., Charbeneau R.J. Aparsimonious model for simulating flow in a karst aquifer. J.Hydrol. 1997, 196:47-65.
10. Bennett N.D., Croke B.F.W., Guariso G., Guillaume J.H.A., Hamilton S.H., Jakeman A.J., Marsili-Libelli S., Newham L.T.H., Norton J.P., Perrin C., Pierce S.A., Robson B., Seppelt R., Voinov A.A., Fath B.D., Andreassian V. Characterising performance of environmental models. Environ. Model. Softw. 2013, 40:1-20.
11. Beran M. Hydrograph prediction - how much skill?. Hydrol. Earth Syst. Sci. 1999, 3:305-307.
12. Beven K. How far can we go in distributed hydrological modelling?. Hydrol. Earth Syst. Sci. 2001, 5:1-12.
13. Beven K., Binley A. The future of distributed models: model calibration and uncertainty prediction. Hydrol. Process. 1992, 6:279-298.
14. Beven K., Freer J. Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology. J.Hydrol. 2001, 249:11-29.
15. Birtles A.B., Reeves M.J. Asimple effective method for the computer simulation of groundwater storage and its application in the design of water resource systems. J.Hydrol. 1977, 34:77-96.
16. Bloomfield J. The role of diagenesis in the hydrogeological stratification of carbonate aquifers: an example from the Chalk at Fair Cross, Berkshire, UK. Hydrol. Earth Syst. Sci. 1997, 1:19-33.
17. Bloomfield J.P., Bricker S.H., Newell A.J. Some relationships between lithology, basin form and hydrology: a case study from the Thames basin, UK. Hydrol. Process. 2011, 25:2518-2530.
18. Bloomfield J.P., Gaus I., Wade S.D. Amethod for investigating the potential impacts of climate-change scenarios on annual minimum groundwater levels. Water Environ. J. 2003, 17:86-91.
19. Bloomfield J.P., Marchant B.P. Analysis of groundwater drought using a variant of the Standardised Precipitation Index. Hydrol. Earth Syst. Sci. Discuss. 2013, 10:7537-7574.
20. Boorman D.B., Hollis J.M., Lilly A. Report No. 126 Hydrology of Soil Types: a Hydrologically-based Classification of the Soils of the United Kingdom 1995, Institute of Hydrology, Wallingford, UK.
21. Calver A. Recharge response functions. Hydrol. Earth Syst. Sci. 1997, 1:47-53.
22. Clark M.P., Slater A.G., Rupp D.E., Woods R.A., Vrugt J.A., Gupta H.V., Wagener T., Hay L.E. Framework for Understanding Structural Errors (FUSE): a modular framework to diagnose differences between hydrological models. Water Resour. Res. 2008, 44:W00B02.
23. Cleveland R.B., Cleveland W.S., McRae J.E., Terpenning I. STL: a seasonal-trend decomposition procedure based on loess. J.Off. Stat. 1990, 6:3-73.
24. Conrads P.A., Roehl E.A. Hydrologic Record Extension of Water-level Data in the Everglades Depth Estimation Network (EDEN) Using Artificial Neural Network Models, 2000-2006 2007, U.S. Geological Survey Open-File Report 2007-1350.
25. Coron L., Andréassian V., Perrin C., Lerat J., Vaze J., Bourqui M., Hendrickx F. Crash testing hydrological models in contrasted climate conditions: an experiment on 216 Australian catchments. Water Resour. Res. 2012, 48:W05552.
26. Coulibaly P., Anctil F., Aravena R., Bobée B. Artificial neural network modeling of water table depth fluctuations. Water Resour. Res. 2001, 37:885-896.
27. Cross G.A., Rushton K.R., Tomlinson L.M. The East Kent Chalk Aquifer during the 1988-92 drought. Water Environ. J. 1995, 9:37-48.
28. Daliakopoulos I.N., Coulibaly P., Tsanis I.K. Groundwater level forecasting using artificial neural networks. J.Hydrol. 2005, 309:229-240.
29. Dawson C.W., Wilby R.L. Hydrological modelling using artificial neural networks. Prog. Phys. Geogr. 2001, 25:80-108.
30. Dooge J. Linear Theory of Hydrologic Systems 1973, Agricultural Research Service, U.S. Department of Agriculture, Washington, D.C.
31. Downing R.A., Allender R., Lovelock P.E.R., Bridge L.R. The Hydrogeology of the River Trent River Basin 1970, Institute of Geological Science, London, UK.
32. Eberts S.M., Böhlke J.K., Kauffman L.J., Jurgens B.C. Comparison of particle-tracking and lumped-parameter age-distribution models for evaluating vulnerability of production wells to contamination. Hydrogeol. J. 2012, 20:263-282.
33. FAO, IIASA, ISRIC, ISSCAS & JRC Harmonized World Soil Database (Version 1.2) 2012, FAO, Rome, Italy and IIASA, Laxenburg, Austria.
34. Field M. The meteorological office rainfall and evaporation calculation system - MORECS. Agric. Water Manag. 1983, 6:297-306.
35. Flores W.E.L., Gutjahr A.L., Gelhar L.W. Astochastic model of the operation of a stream-aquifer system. Water Resour. Res. 1978, 14:30-38.
36. Gemitzi A., Stefanopoulos K. Evaluation of the effects of climate and man intervention on ground waters and their dependent ecosystems using time series analysis. J.Hydrol. 2011, 403:130-140.
37. Ghose D.K., Panda S.S., Swain P.C. Prediction of water table depth in western region, Orissa using BPNN and RBFN neural networks. J.Hydrol. 2010, 394:296-304.
38. Goderniaux P., Brouyère S., Fowler H.J., Blenkinsop S., Therrien R., Orban P., Dassargues A. Large scale surface-subsurface hydrological model to assess climate change impacts on groundwater reserves. J.Hydrol. 2009, 373:122-138.
39. Gossel W., Ebraheem A.M., Wycisk P. Avery large scale GIS-based groundwater flow model for the Nubian sandstone aquifer in Eastern Sahara (Egypt, northern Sudan and eastern Libya). Hydrogeol. J. 2004, 12:698-713.
40. Griffiths J., Keller V., Morris D., Young A.R. Continuous Estimation of River Flows (CERF) - Technical Report: Task 1.3: Model Scheme for Representing Rainfall Interception and Soil Moisture 2006, Environment Agency R & D Project W6-101, Centre for Ecology and Hydrology, Wallingford, UK.
41. Howard K.W.F., Lloyd J.W. The sensitivity of parameters in the Penman evaporation equations and direct recharge balance. J.Hydrol. 1979, 41:329-344.
42. Ireson A.M., Wheater H.S., Butler A.P., Mathias S.A., Finch J., Cooper J.D. Hydrological processes in the Chalk unsaturated zone - insights from an intensive field monitoring programme. J.Hydrol. 2006, 330:29-43.
43. Jackson C.R., Meister R., Prudhomme C. Modelling the effects of climate change and its uncertainty on UK Chalk groundwater resources from an ensemble of global climate model projections. J.Hydrol. 2011, 399:12-28.
44. Jakeman A.J., Hornberger G.M. How much complexity is warranted in a rainfall-runoff model?. Water Resour. Res. 1993, 29:2637-2649.
45. Jakeman A.J., Letcher R.A., Norton J.P. Ten iterative steps in development and evaluation of environmental models. Environ. Model. Softw. 2006, 21:602-614.
46. Kazumba S., Oron G., Honjo Y., Kamiya K. Lumped model for regional groundwater flow analysis. J.Hydrol. 2008, 359:131-140.
47. Keating T. Alumped parameter model of a Chalk aquifer-stream system in Hampshire, United Kingdom. Ground Water 1982, 20:430-436.
48. Keller V., Young A.R., Morris D., Davies H. Continuous Estimation of River Flows (CERF) - Technical Report: Task 1.1: Estimation of Precipitation Inputs 2006, Environment Agency R & D Project W6-101, Centre for Ecology and Hydrology, Wallingford, UK.
49. Konikow L.F., Bredehoeft J.D. Ground-water models cannot be validated. Adv. Water Resour. 1992, 15:75-83.
50. Kooi H., Groen J. Geological processes and the management of groundwater resources in coastal areas. Neth. J. Geosci. 2003, 82:31-40.
51. Lees M.J. Data-based mechanistic modelling and forecasting of hydrological systems. J.Hydroinf. 2000, 2:15-34.
52. Legates D.R., McCabe G.J. Evaluating the use of "goodness-of-fit" measures in hydrologic and hydroclimatic model validation. Water Resour. Res. 1999, 35:233-241.
53. Maier H.R., Dandy G.C. Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications. Environ. Model. Softw. 2000, 15:101-124.
54. Marsh T.J., Hannaford J. UK Hydrometric Register 2008, Centre for Ecology and Hydrology, Wallingford, UK.
55. Mathias S.A., Butler A.P., Jackson B.M., Wheater H.S. Transient simulations of flow and transport in the Chalk unsaturated zone. J.Hydrol. 2006, 330:10-28.
56. Mathias S.A., Butler A.P., McIntyre N., Wheater H.S. The significance of flow in the matrix of the Chalk unsaturated zone. J.Hydrol. 2005, 310:62-77.
57. Monteith J.L., Unsworth M.H. Principles of Environmental Physics 2008, Elsevier, London, UK. third ed.
58. Moore R.J., Bell V.A. Incorporation of groundwater losses and well level data in rainfall-runoff models illustrated using the PDM. Hydrol. Earth Syst. Sci. 2002, 6:25-38.
59. Nash J.E., Sutcliffe J.V. River flow forecasting through conceptual models part I - a discussion of principles. J.Hydrol. 1970, 10:282-290.
60. Neuzil C.E. Groundwater flow in low-permeability environments. Water Resour. Res. 1986, 22:1163-1195.
61. Olin M. Estimation of base level for an aquifer from recession rates of groundwater levels. Hydrogeol. J. 1995, 3:40-51.
62. Pappenberger F., Beven K., De Roo A., Thielen J., Gouweleeuw B. Uncertainty analysis of the rainfall runoff model LisFlood within the Generalized Likelihood Uncertainty Estimation (GLUE). Int. J. River Basin Manag. 2004, 2:123-133.
63. Park E., Parker J.C. Asimple model for water table fluctuations in response to precipitation. J.Hydrol. 2008, 356:344-349.
64. Peck A. Consequences of Spatial Variability in Aquifer Properties and Data Limitations for Groundwater Modelling Practice 1988, International Association of Hydrological Sciences, Oxfordshire, UK.
65. Pollock D.W. User's Guide for MODPATH/MODPATH-PLOT, Version 3; a Particle Tracking Post-processing Package for MODFLOW, the U.S. Geological Survey Finite-difference Ground-water Flow Model 1994, U.S. Geological Survey Open-File Report 94-464.
66. Pozdniakov S.P., Shestakov V.M. Analysis of groundwater discharge with a lumped-parameter model, using a case study from Tajikistan. Hydrogeol. J. 1998, 6:226-232.
67. Proctor M.E., Siddons P.A., Jones R.J.A., Bellamy P.H., Keay C.A. LandIS: the Land Information System for the UK. Land Information Systems: Developments for Planning the Sustainable Use of Land Resources, EUR 17729 EN 1998, Office for Official Publications of the European Communities, Luxembourg. H.J. Heineke, W. Eckelmann, A.J. Thomasson, R.J.A. Jones, L. Montanarella, B. Buckley (Eds.).
68. Romanowicz R., Young P.C., Beven K.J. Data assimilation and adaptive forecasting of water levels in the river Severn catchment, United Kingdom. Water Resour. Res. 2006, 42:W06407.
69. Rushton K.R. Groundwater Hydrology: Conceptual and Computational Models 2003, John Wiley, Chichester, UK.
70. Rushton K.R., Eilers V.H.M., Carter R.C. Improved soil moisture balance methodology for recharge estimation. J.Hydrol. 2006, 318:379-399.
71. Rushton K.R., Rao S.V.R. Groundwater flow through a Miliolite limestone aquifer. Hydrol. Sci. J. 1988, 33:449-464.
72. Rushton K.R., Rathod K.S. Aquifer response due to zones of higher permeability and storage coefficient. J.Hydrol. 1981, 50:299-316.
73. Rushton K.R., Smith E.J., Tomlinson L.M. An improved understanding of flow in a limestone aquifer using field evidence and mathematical models. J.Inst. Water Eng. Sci. 1982, 36.
74. Scanlon B.R., Mace R.E., Barrett M.E., Smith B. Can we simulate regional groundwater flow in a karst system using equivalent porous media models? Case study, Barton Springs Edwards aquifer, USA. J.Hydrol. 2003, 276:137-158.
75. Shepley M.G., Whiteman M.I., Hulme P.J., Grout M.W. Groundwater Resources Modelling: a Case Study from the UK 2012, vol. 364. Geological Society Special Publications, London, UK.
76. Smith A., Welsh W.D. Review of Groundwater Models and Modelling Methodologies for the Great Artesian Basin. CSIRO Water for a Healthy Country Flagship Series 2011, A technical report to the Australian Government from the CSIRO Great Artesian Basin Water Resource Assessment.
77. Sorensen J.P.R., Finch J.W., Ireson A.M., Jackson C.R. Comparison of varied complexity models simulating recharge at the field scale. Hydrol. Process. 2014, 28:2091-2102.
78. Sreekanth P.D., Geethanjali N., Sreedevi P.D., Ahmed S., Ravi Kumar N., Kamala Jayanthi P.D. Forecasting groundwater level using artificial neural networks. Curr. Sci. 2009, 96:933-939.
79. Sun D., Zhao C., Wei H., Peng D. Simulation of the relationship between land use and groundwater level in Tailan River basin, Xinjiang, China. Quat. Int. 2011, 244:254-263.
80. Taylor C.J., Alley W.M. Ground-water-level Monitoring and the Importance of Long-term Water-level Data 2001, U.S. Geological Circular 1217.
81. Thiéry D. Presentation of the GARDÉNIA v8.1 Software Package Developed by BRGM 2012, BRGM Note Technique (NT EAU 2012/01).
82. Todd D.K. Groundwater Hydrology 1959, John Wiley, Chichester, UK.
83. Trichakis I., Nikolos I., Karatzas G.P. Comparison of bootstrap confidence intervals for an ANN model of a karstic aquifer response. Hydrol. Process. 2011, 25:2827-2836.
84. Wada Y., van Beek L.P.H., van Kempen C.M., Reckman J.W.T.M., Vasak S., Bierkens M.F.P. Global depletion of groundwater resources. Geophys. Res. Lett. 2010, 37:L20402.
85. Williams A., Bloomfield J., Griffiths K., Butler A. Characterising the vertical variations in hydraulic conductivity within the Chalk aquifer. J.Hydrol. 2006, 330:53-62.
86. Young P.C., Castelletti A., Pianosi F. The data-based mechanistic approach in hydrological modelling. Topics on System Analysis and Integrated Water Resources Management 2007, Elsevier, Oxford, UK. A. Castelletti, R.S. Sessa (Eds.).
87. Young P.C., Lees M. The Active Mixing Volume (AMV): a new concept in modelling environmental systems. Statistics for the Environment 1993, John Wiley, Chichester, UK. V. Barnett, K.F. Turkman (Eds.).