Reproduction for Digital Images”, ACM Trans. Graphics , vol. 21, no. 3, pp. 267–276, 2002 [doi: 0.1145/566654.566575].
 S. B. Kang, M. Uyttendaele, S. Winder and R. Szeliski, “High Dynamic Range Video”, ACM Trans. Graphics , vol. 22, no. 3, pp. 319–325, 2003 [doi: 10.1145/882262.882270].
 S. D. Ramsey, J. T. Johnson and C. Hansen, “Adaptive Temporal Tone Mapping”, Proc. 7th IASTED International Conference on Computer Graphics and Imaging , pp. 124–128, 2004.
 C. Kiser, E. Reinhard, M. Tocci and N. Tocci, “Real Time Automated Tone Mapping System
Lei Gao, Yaji Wang, Josie Geris, Paul D. Hallett and Xinhua Peng
., Melone, F., Moramarco, T., Morbidelli, R., 2010. Spatial-temporal variability of soil moisture and its estimation across scales. Water Resour. Res., 46, W02516.
Burns, T.T., Berg, A.A., Cockburn, J., Tetlock, E., 2016. Regional scale spatial and temporal variability of soil moisture in a prairie region. Hydrol. Process., 30, 3639–3649.
Buttafuoco, G., Castrignanò, A., Castrignano, E., Dimase, A.C., 2005. Studying the spatial structure evolution of soil water content using multivariate geostatistics. J. Hydrol., 311, 202–218.
Canton, V., Rodríguez
Jana Votrubova, Michal Dohnal, Tomas Vogel, Miroslav Tesar, Vladimira Jelinkova and Milena Cislerova
Angulo-Jaramillo, R., Thony, J.L., Vachaud, G., Moreno, F., Fernández Boy, M.E., Cayuela, J.A., Clothier, B.E., 1997. Seasonal variation of hydraulic properties of soils measured using a tension disk infiltrometer. Soil Sci. Soc. Am. J., 61, 1, 27–32.
Bagarello, V., Sgroi, A., 2004. Using the single-ring infiltrometer method to detect temporal changes in surface soil field-saturated hydraulic conductivity. Soil & Tillage Research, 76, 1, 13–24.
Braud, I., De Condappa, D., Soria, J.M., Haverkamp, R., Angulo-Jaramillo, R., Galle, S
Marcia S. Batalha, Maria C. Barbosa, Boris Faybishenko and Martinus Th. van Genuchten
management challenge. Water Resour. Res., 51, 3031–3051, DOI: 10.1002/2014WR016825.
Harman, C.J., Rao, P.S.C., Basu, N.B., McGrath, G.S., Kumar, P., Sivapalan, M., 2011. Climate, soil, and vegetation controls on the temporal variability of vadose zone transport. Water Resour. Res., 47, W00J13
INMET, 2015. Instituto Nacional de Meteorologia, Ministério da Agricultura, Pecuária e Abastecimento < http://www.inmet.gov.br/portal/index.php?r=bdmep/bdmep >, Brazil.
Jasechko, S., Taylor, R.G., 2015. Intensive rainfall recharges tropical groundwaters Environ. Res
.M., FERNA′NDEZ L., 2000: Temporal evolution of groundwater composition in an alluvial aquifer (Pisuerga river, Spain) by principal component analysis. Water Research. , 34, 807-816.
KIM J.H., KIM R.H., LEE J., CHEONG T.J., YUM B.W., CHANG H.W., 2005: Multivariate statistical analysis to identify the major factors governing groundwater quality in the coastal area of Kimje, South Korea. Hydrological Processes , 19, 1261-1276.
KIM J.O., MUELLER C.W., 1987: Introduction to factor analysis: what it is and how to do it
Kerstin Hürkamp, Nadine Zentner, Anne Reckerth, Stefan Weishaupt, Karl-Friedrich Wetzel, Jochen Tschiersch and Christine Stumpp
-VII Technical Documents in Hydrology N°83, IACS Contribution N°1, UNESCO-IHP, Paris, 81 p.
Hashimoto, S., Shiqiao, Z., Nakawo, M., Sakai, A., Ageta, Y., Ishikawa N., Narita, H., 2002. Isotope studies of inner snow layers in a temperate region. Hydrol. Process., 16, 2209-2220.
Holko, L., 1995. Stable environmental isotopes of 18O and 2H in hydrological research of mountainous catchment. J. Hydrol. Hydromech., 43, 249-274.
Holko, L., Danko, M., Dósa, Kostka, Z., Sanda, M., Pfister, L, Iffly, J.F., 2013. Spatial and temporal
Propagation of a two-dimensional spatio-temporal electromagnetic beam wave is analysed. In parabolic (paraxial) approximation the exact analytical results for a spatio-temporal Gaussian impulse can be obtained. For solution of the full wave equation the numerical simulation has to be used. The various facets of this simulation are discussed here.
Mohamed Amine Boukhemacha, Constantin Radu Gogu and Ioan Bica
One of the key operations in the construction of hydrogeological models is the transformation of continuous physical systems into discrete models while conserving the aimed model performance level and optimizing the available resources. Such operation is called discretization, and it has to be applied to both spatial and temporal domains in hydrogeology. The present paper deals with the temporal domain discretization. A literature review is given first, and then a parametric study (using 1D flow modeling) is conducted to assess the effects induced by boundary conditions (specified head or specified recharge rate), data temporal resolution and model simulation time step on hydrogeological flow model performances. It was found that the effect induced by the dynamic comportment of a recharge rate boundary condition type is more important than that due to a specified head. For the recharge rate, the time step must be smaller or equal to the data resolution when using Modflow. As for a specified head boundary condition type, it was recommended to take a time step satisfying Δt∞1/(K × Δh).
Prashanth Reddy Hanmaiahgari, Vesselina Roussinova and Ram Balachandar
Turbulence of flow over mobile bedforms in natural open channels is not yet clearly understood. An attempt is made in this paper to determine the effect of naturally formed mobile bedforms on velocities, turbulent intensities and turbulent stresses. Instantaneous velocities are measured using a two-dimensional particle image velocimetry (PIV) to evaluate the turbulence structure of free surface flow over a fixed (immobile) bed, a weakly mobile bed and a temporally varying mobile bed with different stages of bedform development. This paper documents the vertical distribution of velocity, turbulence intensities, Reynolds shear stress and higher-order moments including skewness and turbulent diffusion factors. Analysis of the velocity distributions shows a substantial decrease of velocity near the bed with increasing bedform mobility due to increased friction. A modified logarithmic law with a reduced von Kármán constant and increased velocity shift is proposed for the case of the mobile bedforms. A significant increase in the Reynolds shear stress is observed in the mobile bedforms experiments accompanied by changes over the entire flow depth compared to an immobile bed. The skewness factor distribution was found to be different in the case of the flow over the mobile bedforms. All higher-order turbulence descriptors are found to be significantly affected by the formation of temporally varying and non-equilibrium mobile bedforms. Quadrant analysis indicates that sweep and outward events are found to be dominant in strongly mobile bedforms and govern the bedform mobility.
Saleh Yousefi, Seyed Hamidreza Sadeghi, Somayeh Mirzaee, Martine van der Ploeg, Saskia Keesstra and Artemi Cerdà
., Madramootoo, C.A., 2006. Effect of land management on runoff and soil losses from two small watersheds in St Lucia. Land Degrad. Dev., 17, 1, 55-72. DOI: 10.1002/ldr.694.
David, J.S., Bellot, J., Birot, Y., David, T.S., 2011. Water fluxes in forests. In: Birot, Y., Gracia, C., Palahi, M. (Eds.): Water for Forests and People in the Mediterranean Region - A Challenging Balance. What Science Can Tell Us? European Forest Institute, Sarjanr, Finland, pp. 32-36.
Davudirad, A.A., Sadeghi, S.H.R., Sadoddin, A., 2015. Monitoring temporal and spatial