Comparative hydrogeology – reference analysis of groundwater dynamics from neighbouring observation wells

References

• Anibas, C., et al., 2017. Delineation of spatial-temporal patterns of groundwater/surface-water interaction along a river reach (Aa River, Belgium) with transient thermal modeling. Hydrogeology Journal, 26 (3), 819–835. doi:10.1007/s10040-017-1695-9
   Web of Science ®Google Scholar
• Barthel, R., 2014. HESS opinions “Integration of groundwater and surface water research: an interdisciplinary problem?”. Hydrology and Earth System Sciences, 18 (7), 2615–2628. doi:10.5194/hess-18-2615-2014
   Web of Science ®Google Scholar
• Barthel, R. and Banzhaf, S., 2015. Groundwater and surface water interaction at the regional-scale – a review with focus on regional integrated models. Water Resources Management, 30 (1), 1–32. doi:10.1007/s11269-015-1163-z
   Web of Science ®Google Scholar
• Berendrecht, W.L. and van Geer, F.C., 2016. A dynamic factor modeling framework for analyzing multiple groundwater head series simultaneously. Journal of Hydrology, 536, 50–60. doi:10.1016/j.jhydrol.2016.02.028
   Web of Science ®Google Scholar
• Bloomfield, J.P., et al., 2015. Regional analysis of groundwater droughts using hydrograph classification. Hydrology and Earth System Sciences, 19 (10), 4327–4344. doi:10.5194/hess-19-4327-2015
   Web of Science ®Google Scholar
• Blöschl, G., et al., 2013. Runoff prediction in ungauged basins: synthesis across processes, places and scales. Cambridge: Cambridge University Press.
   Google Scholar
• Boutt, D.F., 2017. Assessing hydrogeologic controls on dynamic groundwater storage using long-term instrumental records of water table levels. Hydrological Processes, 31 (7), 1479–1497. doi:10.1002/hyp.11119
   Web of Science ®Google Scholar
• Buffin-Bélanger, T., et al., 2015. Dynamics of groundwater floodwaves and groundwater flood events in an alluvial aquifer. Canadian Water Resources Journal/Revue canadienne des ressources hydriques, 41 (4), 469–483. doi:10.1080/07011784.2015.1102651
   Google Scholar
• Cloutier, C.-A., Buffin-Bélanger, T., and Larocque, M., 2014. Controls of groundwater floodwave propagation in a gravelly floodplain. Journal of Hydrology, 511, 423–431. doi:10.1016/j.jhydrol.2014.02.014
   Web of Science ®Google Scholar
• Coelho, V.H.R., et al., 2017. Alluvial groundwater recharge estimation in semi-arid environment using remotely sensed data. Journal of Hydrology, 548, 1–15. doi:10.1016/j.jhydrol.2017.02.054
   Web of Science ®Google Scholar
• Duvert, C., et al., 2015. Correlation and spectral analyses to assess the response of a shallow aquifer to low and high frequency rainfall fluctuations. Journal of Hydrology, 527, 894–907. doi:10.1016/j.jhydrol.2015.05.054
   Web of Science ®Google Scholar
• Galili, T., 2015. dendextend: an R package for visualizing, adjusting and comparing trees of hierarchical clustering. Bioinformatics, 31 (22), 3718–3720. doi:10.1093/bioinformatics/btv428
   PubMed Web of Science ®Google Scholar
• Gini, C. and Livada, G., 1943. Nuovi contributi alla teoria della transvariazione. In: Attidella VI riunione della società italiana di statistica. Roma, Gennaio.
   Google Scholar
• Haaf, E. and Barthel, R., 2018. An inter-comparison of similarity-based methods for organisation and classification of groundwater hydrographs. Journal of Hydrology, 559, 222–237. doi:10.1016/j.jhydrol.2018.02.035
   Web of Science ®Google Scholar
• Hannah, D.M., et al., 2005. Flow regimes of Himalayan rivers of Nepal: nature and spatial patterns. Journal of Hydrology, 308 (1–4), 18–32. doi:10.1016/j.jhydrol.2004.10.018
   Web of Science ®Google Scholar
• Heudorfer, B., et al., 2019. Index-based characterization and quantification of groundwater dynamics. Water Resources Research, 55 (7), 5575–5592. doi:10.1029/2018WR024418
   Web of Science ®Google Scholar
• Hrachowitz, M., et al., 2013. A decade of predictions in ungauged basins (PUB)—a review. Hydrological Sciences Journal, 58 (6), 1198–1255. doi:10.1080/02626667.2013.803183
   Web of Science ®Google Scholar
• Kingston, D.G., et al., 2011. Regional classification, variability, and trends of northern North Atlantic river flow. Hydrological Processes, 25 (7), 1021–1033. doi:10.1002/hyp.7655
   Web of Science ®Google Scholar
• Kovács, J., et al., 2015. Detection and evaluation of changes induced by the diversion of River Danube in the territorial appearance of latent effects governing shallow-groundwater fluctuations. Journal of Hydrology, 520, 314–325. doi:10.1016/j.jhydrol.2014.11.052
   Web of Science ®Google Scholar
• Lafare, A.E.A., Peach, D.W., and Hughes, A.G., 2015. Use of seasonal trend decomposition to understand groundwater behaviour in the Permo-Triassic Sandstone aquifer, Eden Valley, UK. Hydrogeology Journal, 24 (1), 141–158. doi:10.1007/s10040-015-1309-3
   Web of Science ®Google Scholar
• Lehner, B., Verdin, K., and Jarvis, A., 2008. New global hydrography derived from spaceborne elevation data. Eos Trans. AGU, 89 (10), 93–94. doi:10.1029/2008EO100001
   Google Scholar
• Moon, S.-K., Woo, N.C., and Lee, K.S., 2004. Statistical analysis of hydrographs and water-table fluctuation to estimate groundwater recharge. Journal of Hydrology, 292 (1–4), 198–209. doi:10.1016/j.jhydrol.2003.12.030
   Web of Science ®Google Scholar
• Nimmo, J.R., Horowitz, C., and Mitchell, L., 2015. Discrete-storm water-table fluctuation method to estimate episodic recharge. Ground Water, 53 (2), 282–292. doi:10.1111/gwat.12177
   PubMed Web of Science ®Google Scholar
• Olden, J.D., Kennard, M.J., and Pusey, B.J., 2012. A framework for hydrologic classification with a review of methodologies and applications in ecohydrology. Ecohydrology, 5 (4), 503–518. doi:10.1002/eco.251
   Web of Science ®Google Scholar
• Pastore, M., 2018. Overlapping: a R package for estimating overlapping in empirical distributions. Journal of Open Source Software, 3 (32), 1023. doi:10.21105/joss.01023
   Google Scholar
• R Development Core Team, 2020. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing.
   Google Scholar
• Ratanamahatana, C., et al., 2010. Mining time series data. In: O. Maimon and L. Rokach, eds. Data mining and knowledge discovery handbook.  Boston, MA: Springer, 1049–1077.
   Google Scholar
• Rinderer, M., et al., 2016. Is groundwater response timing in a pre-alpine catchment controlled more by topography or by rainfall? Hydrological Processes, 30 (7), 1036–1051. doi:10.1002/hyp.10634
   Web of Science ®Google Scholar
• Rinderer, M., McGlynn, B.L., and van Meerveld, H.J., 2017. Groundwater similarity across a watershed derived from time-warped and flow-corrected time series. Water Resources Research, 53 (5), 3921–3940. doi:10.1002/2016WR019856
   Web of Science ®Google Scholar
• Rinderer, M., Meerveld, H.J., and McGlynn, B.L., 2019. From points to patterns: using groundwater time series clustering to investigate subsurface hydrological connectivity and runoff source area dynamics. Water Resources Research, 55 (7), 5784–5806. doi:10.1029/2018WR023886
   Web of Science ®Google Scholar
• Rinderer, M., van Meerveld, H.J., and Seibert, J., 2014. Topographic controls on shallow groundwater levels in a steep, prealpine catchment: when are the TWI assumptions valid? Water Resources Research, 50 (7), 6067–6080. doi:10.1002/2013WR015009
   Web of Science ®Google Scholar
• Rui, X. and Wunsch, D., II, 2005. Survey of clustering algorithms. IEEE Transactions on Neural Networks, 16 (3), 645–678. doi:10.1109/TNN.2005.845141
   PubMed Web of Science ®Google Scholar
• Tóth, J., 1962. A theory of groundwater motion in small drainage basins in central Alberta, Canada. Journal of Geophysical Research (1896–1977), 67 (11), 4375–4388. doi:10.1029/JZ067i011p04375
   Web of Science ®Google Scholar
• Tóth, J., 1963. A theoretical analysis of groundwater flow in small drainage basins. Journal of Geophysical Research, 68 (16), 4795–4812. doi:10.1029/JZ068i016p04795
   Google Scholar
• Upton, K.A. and Jackson, C.R., 2011. Simulation of the spatio-temporal extent of groundwater flooding using statistical methods of hydrograph classification and lumped parameter models. Hydrological Processes, 25 (12), 1949–1963. doi:10.1002/hyp.7951
   Web of Science ®Google Scholar
• VanRoosmalen, L., Christensen, B.S.B., and Sonnenborg, T.O., 2007. Regional differences in climate change impacts on groundwater and stream discharge in Denmark. Vadose Zone Journal, 6 (3), 554–571. doi:10.2136/vzj2006.0093
   Web of Science ®Google Scholar
• Vidon, P., 2012. Towards a better understanding of riparian zone water table response to precipitation: surface water infiltration, hillslope contribution or pressure wave processes? Hydrological Processes, 26 (21), 3207–3215. doi:10.1002/hyp.8258
   Web of Science ®Google Scholar
• Winter, T.C., et al., 2000. The use of principal component analysis for interpreting ground water hydrographs. Ground Water, 38 (2), 234–246. doi:10.1111/j.1745-6584.2000.tb00335.x
   Web of Science ®Google Scholar
• Wittenberg, H., Aksoy, H., and Miegel, K., 2019. Fast response of groundwater to heavy rainfall. Journal of Hydrology, 571, 837–842. doi:10.1016/j.jhydrol.2019.02.037
   Web of Science ®Google Scholar
• Yadav, M., Wagener, T., and Gupta, H., 2007. Regionalization of constraints on expected watershed response behavior for improved predictions in ungauged basins. Advances in Water Resources, 30 (8), 1756–1774. doi:10.1016/j.advwatres.2007.01.005
   Web of Science ®Google Scholar
• Yarnell, S.M., et al., 2020. A functional flows approach to selecting ecologically relevant flow metrics for environmental flow applications. River Research and Applications. doi:10.1002/rra.3575
   PubMed Web of Science ®Google Scholar