PET/CT gave reliable results with an accuracy >95% in 75% of prostheses. PET/CT can identify those prostheses (25% of prosthesis) for which its diagnostic accuracy is diminished to 70-75%. In our series PET/CT was an excellent diagnostic modality for suspected VPI.

FDG-PET/CT appears to be a very promising method for distinguishing a viable tumour from fibrous changes, thereby avoiding unnecessary laparotomy.

Soil water dynamics at an experimental hillslope site is studied by means of a one-dimensional dual-con nuum model. The model is based on Richards' equa on for ver cal soil water fl ow and the advec on-dispersion equa on for transport of the stable isotope 18 O. The water body contained in the soil-matrix pore space and the one transmi ed through the system of preferen al pathways are treated as two separate, mutually communicating soil water con nua. The 18 O isotope, monitored in precipita on, subsurface hillslope discharge, and soil water, was used as a natural tracer to study the role of preferen al fl ow in the forma on of shallow subsurface runoff . It is shown that the dual-con nuum approach can, in principle, explain the observed varia ons of 18 O content in the subsurface hillslope discharge. The model successfully describes mixing of new water, which refl ects the isotope signatures of the individual precipita on events, with old water, refl ec ng the seasonal variability of the isotope signal. Abbrevia ons: PF, preferen al fl ow; SM, soil matrix.Hydrological responses of hillslopes are determined by a number of factors associated with parent geological material, topography, climate, and vegetation. Diff erent runoff processes can be dominant in diff erent environments. One of these processes, which frequently dominates hillslope runoff in well-permeable, shallow soils of humid, temperate to cold climates, is the saturated subsurface fl ow along the soil-bedrock interface, oft en referred to as subsurface stormfl ow.

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Abstract. In this paper, we present and analyze a novel global database of soil infiltration measurements, the Soil Water Infiltration Global (SWIG) database. In total, 5023 infiltration curves were collected across all continents in the SWIG database. These data were either provided and quality checked by the scientists who performed the experiments or they were digitized from published articles. Data from 54 different countries were included in the database with major contributions from Iran, China, and the USA. In addition to its extensive geographical coverage, the collected infiltration curves cover research from 1976 to late 2017. Basic information on measurement location and method, soil properties, and land use was gathered along with the infiltration data, making the database valuable for the development of pedotransfer functions (PTFs) for estimating soil hydraulic properties, for the evaluation of infiltration measurement methods, and for developing and validating infiltration models. Soil textural information (clay, silt, and sand content) is available for 3842 out of 5023 infiltration measurements (∼ 76%) covering nearly all soil USDA textural classes except for the sandy clay and silt classes. Information on land use is available for 76 % of the experimental sites with agricultural land use as the dominant type (∼ 40%). We are convinced that the SWIG database will allow for a better parameterization of the infiltration process in land surface models and for testing infiltration models. All collected data and related soil characteristics are provided online in *.xlsx and *.csv formats for reference, and we add a disclaimer that the database is for public domain use only and can be copied freely by referencing it. Supplementary data are available at https://doi.org/10.1594/PANGAEA.885492 (Rahmati et al., 2018). Data quality assessment is strongly advised prior to any use of this database. Finally, we would like to encourage scientists to extend and update the SWIG database by uploading new data to it.

[1] Recurrent ponded infiltration (RPI) was applied to two undisturbed samples (5.4-cm diameter, 9-cm height) of coarse sandy loam (Korkusova Hut', CR). The water distribution within the samples during RPI was monitored using magnetic resonance imaging (MRI); the soil internal structure was visualized by X-ray computed tomography (CT). Preferential flow and a decrease of the steady state infiltration rate between two successive infiltrations of RPI are typical for the soil studied. During the MRI-monitored experiment these phenomena were pronounced only in one sample, which facilitated their linking to specific features in the MRI results; the flow rate decrease was related to a reduction of the MRI-detected water content and a change of the spectrum of T 1 (a characteristic related to the water surface-to-volume ratio). The MRI methods employed could detect water in low-density regions and thereby captured potential preferential pathways; however, one-dimensional (1-D) MRI demonstrated that some results may be affected by fast flow.

Abstract:Ponded infiltration experiment is a simple test used for in-situ determination of soil hydraulic properties, particularly saturated hydraulic conductivity and sorptivity. It is known that infiltration process in natural soils is strongly affected by presence of macropores, soil layering, initial and experimental conditions etc. As a result, infiltration record encompasses a complex of mutually compensating effects that are difficult to separate from each other. Determination of sorptivity and saturated hydraulic conductivity from such infiltration data is complicated. In the present study we use numerical simulation to examine the impact of selected experimental conditions and soil profile properties on the ponded infiltration experiment results, specifically in terms of the hydraulic conductivity and sorptivity evaluation. The effect of following factors was considered: depth of ponding, ring insertion depth, initial soil water content, presence of preferential pathways, hydraulic conductivity anisotropy, soil layering, surface layer retention capacity and hydraulic conductivity, and presence of soil pipes or stones under the infiltration ring. Results were compared with a large database of infiltration curves measured at the experimental site Liz (Bohemian Forest, Czech Republic). Reasonably good agreement between simulated and observed infiltration curves was achieved by combining several of factors tested. Moreover, the ring insertion effect was recognized as one of the major causes of uncertainty in the determination of soil hydraulic parameters.

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