Active Filters

  • (-) Publication Year = 2006 - 2018
  • (-) Journal = Water Resources Research
Search Results 1 - 20 of 72

Pages

  • RSS Feed
Select Page
Pore-scale hydrodynamics in a progressively bioclogged three-dimensional porous medium: 3-D particle tracking experiments and stochastic transport modeling
Carrel, M., Morales, V. L., Dentz, M., Derlon, N., Morgenroth, E., & Holzner, M. (2018). Pore-scale hydrodynamics in a progressively bioclogged three-dimensional porous medium: 3-D particle tracking experiments and stochastic transport modeling. Water Resources Research, 54(3), 2183-2198. https://doi.org/10.1002/2017WR021726
Signature-domain calibration of hydrological models using Approximate Bayesian Computation: empirical analysis of fundamental properties
Fenicia, F., Kavetski, D., Reichert, P., & Albert, C. (2018). Signature-domain calibration of hydrological models using Approximate Bayesian Computation: empirical analysis of fundamental properties. Water Resources Research, 54(6), 3958-3987. https://doi.org/10.1002/2017WR021616
Relating degradation of pharmaceutical active ingredients in a stream network to degradation in water-sediment simulation tests
Honti, M., Bischoff, F., Moser, A., Stamm, C., Baranya, S., & Fenner, K. (2018). Relating degradation of pharmaceutical active ingredients in a stream network to degradation in water-sediment simulation tests. Water Resources Research, 54(11), 9207-9223. https://doi.org/10.1029/2018WR023592
Dispersion and mixing in three-dimensional discrete fracture networks: nonlinear interplay between structural and hydraulic heterogeneity
Hyman, J. D., & Jiménez-Martínez, J. (2018). Dispersion and mixing in three-dimensional discrete fracture networks: nonlinear interplay between structural and hydraulic heterogeneity. Water Resources Research, 54(5), 3243-3258. https://doi.org/10.1029/2018WR022585
Signature-domain calibration of hydrological models using Approximate Bayesian Computation: theory and comparison to existing applications
Kavetski, D., Fenicia, F., Reichert, P., & Albert, C. (2018). Signature-domain calibration of hydrological models using Approximate Bayesian Computation: theory and comparison to existing applications. Water Resources Research, 54(6), 4059-4083. https://doi.org/10.1002/2017WR020528
Characterizing the spatial correlation of daily streamflows
Betterle, A., Schirmer, M., & Botter, G. (2017). Characterizing the spatial correlation of daily streamflows. Water Resources Research, 53(2), 1646-1663. https://doi.org/10.1002/2016WR019195
What do they have in common? Drivers of streamflow spatial correlation and prediction of flow regimes in ungauged locations
Betterle, A., Radny, D., Schirmer, M., & Botter, G. (2017). What do they have in common? Drivers of streamflow spatial correlation and prediction of flow regimes in ungauged locations. Water Resources Research, 53(12), 10354-10373. https://doi.org/10.1002/2017WR021144
Increased sediment oxygen flux in lakes and reservoirs: the impact of hypolimnetic oxygenation
Bierlein, K. A., Rezvani, M., Socolofsky, S. A., Bryant, L. D., Wüest, A., & Little, J. C. (2017). Increased sediment oxygen flux in lakes and reservoirs: the impact of hypolimnetic oxygenation. Water Resources Research, 53(6), 4876-4890. https://doi.org/10.1002/2016WR019850
High-resolution flow characterization close to the sediment-water interface in a run of the river reservoir
Brand, A., & Noss, C. (2017). High-resolution flow characterization close to the sediment-water interface in a run of the river reservoir. Water Resources Research, 53(5), 4286-4302. https://doi.org/10.1002/2016WR020203
Comparing approaches to deal with non-Gaussianity of rainfall data in kriging-based radar-gauge rainfall merging
Cecinati, F., Wani, O., & Rico-Ramirez, M. A. (2017). Comparing approaches to deal with non-Gaussianity of rainfall data in kriging-based radar-gauge rainfall merging. Water Resources Research, 53(11), 8999-9018. https://doi.org/10.1002/2016WR020330
Impact of saturation on dispersion and mixing in porous media: photobleaching pulse injection experiments and shear-enhanced mixing model
Jiménez-Martínez, J., Le Borgne, T., Tabuteau, H., & Méheust, Y. (2017). Impact of saturation on dispersion and mixing in porous media: photobleaching pulse injection experiments and shear-enhanced mixing model. Water Resources Research, 53(2), 1457-1472. https://doi.org/10.1002/2016WR019849
Multiscale characterization and quantification of arsenic mobilization and attenuation during injection of treated coal seam gas coproduced water into deep aquifers
Rathi, B., Siade, A. J., Donn, M. J., Helm, L., Morris, R., Davis, J. A., … Prommer, H. (2017). Multiscale characterization and quantification of arsenic mobilization and attenuation during injection of treated coal seam gas coproduced water into deep aquifers. Water Resources Research, 53(12), 10779-10801. https://doi.org/10.1002/2017WR021240
Processes governing arsenic retardation on Pleistocene sediments: adsorption experiments and model-based analysis
Rathi, B., Neidhardt, H., Berg, M., Siade, A., & Prommer, H. (2017). Processes governing arsenic retardation on Pleistocene sediments: adsorption experiments and model-based analysis. Water Resources Research, 53(5), 4344-4360. https://doi.org/10.1002/2017WR020551
Physical effects of thermal pollution in lakes
Råman Vinnå, L., Wüest, A., & Bouffard, D. (2017). Physical effects of thermal pollution in lakes. Water Resources Research, 53(5), 3968-3987. https://doi.org/10.1002/2016WR019686
Advancing physically-based flow simulations of alluvial systems through atmospheric noble gases and the novel <sup>37</sup>Ar tracer method
Schilling, O. S., Gerber, C., Partington, D. J., Purtschert, R., Brennwald, M. S., Kipfer, R., … Brunner, P. (2017). Advancing physically-based flow simulations of alluvial systems through atmospheric noble gases and the novel 37Ar tracer method. Water Resources Research, 53(12), 10465-10490. https://doi.org/10.1002/2017WR020754
Informing water harvesting technology contract design using choice experiments
Tarfasa, S., Brouwer, R., Sheremet, O., & Bouma, J. (2017). Informing water harvesting technology contract design using choice experiments. Water Resources Research, 53(10), 8211-8225. https://doi.org/10.1002/2016WR020154
Describing the catchment-averaged precipitation as a stochastic process improves parameter and input estimation
Del Giudice, D., Albert, C., Rieckermann, J., & Reichert, P. (2016). Describing the catchment-averaged precipitation as a stochastic process improves parameter and input estimation. Water Resources Research, 52(4), 3162-3186. https://doi.org/10.1002/2015WR017871
From spatially variable streamflow to distributed hydrological models: analysis of key modeling decisions
Fenicia, F., Kavetski, D., Savenije, H. H. G., & Pfister, L. (2016). From spatially variable streamflow to distributed hydrological models: analysis of key modeling decisions. Water Resources Research, 52(2), 954-989. https://doi.org/10.1002/2015WR017398
Accounting for the influence of vegetation and landscape improves model transferability in a tropical savannah region
Gao, H., Hrachowitz, M., Sriwongsitanon, N., Fenicia, F., Gharari, S., & Savenije, H. H. G. (2016). Accounting for the influence of vegetation and landscape improves model transferability in a tropical savannah region. Water Resources Research, 52(10), 7999-8022. https://doi.org/10.1002/2016WR019574
Excess warming of a Central European lake driven by solar brightening
Schmid, M., & Köster, O. (2016). Excess warming of a Central European lake driven by solar brightening. Water Resources Research, 52(10), 8103-8116. https://doi.org/10.1002/2016WR018651
 

Pages