67 research outputs found

    Analysis of the Role of Tortuosity and Infiltration Constants in the Beerkan Method

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    It has recently been proposed to couple the Beerkan method with the Beerkan Estimation of Soil Transfer parameters (BEST) algorithm to facilitate the estima- tion of soil hydraulic parameters from an infiltration experiment. Although this simplified field procedure is relatively rapid and inexpensive, it has been doubt - ed if the Beerkan method can represent a valid and reliable alternative to other conventional methods. This study explored the impact of the tortuosity param- eter (p) and two infiltration constants included in the BEST algorithm using a sensitivity analysis applied to three experimental soils. The analysis that was validated using the numerical model HYDRUS 2D/3D indicates that the tortuosity is relatively insignificant compared to parameters b and g that have a large impact on the estimation procedure

    BEST-2K Method for Characterizing Dual-Permeability Unsaturated Soils with Ponded and Tension Infiltrometers

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    This study presents a new method (BEST-2K) that extends the existing BEST methods for use in characterizing the water retention and hydraulic conductivity functions of matrix and fast-flow regions in dual-permeability soils. BEST-2K requires input information from two water infiltration experiments that are performed under ponded (Beerkan) and unsaturated (tension infiltrometer) conditions at the surface. Other required inputs include water content measurements and the traditional BEST inputs (particle size distribution and bulk density). In this study, first, a flowchart of the BEST-2K method was developed and illustrated with analytically generated data for a synthetic dual-permeability soil. Next, a sensitivity analysis was performed to assess the accuracy of BEST-2K and its sensitivity to the quality of the inputs (water contents and cumulative infiltrations, and the prior estimation of the volume ratio occupied by the fast-flow region). Lastly, BEST-2K was applied to real experimental data to characterize three soils that are prone to preferential flow. BEST-2K was found to be a particularly useful tool that combines experimental and modeling approaches for characterizing dual-permeability soils and, more generally, soils prone to preferential flows

    Comparing Beerkan infiltration tests with rainfall simulation experiments for hydraulic characterization of a sandy-loam soil

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    [EN] Saturated soil hydraulic conductivity, K-s, data collected by ponding infiltrometer methods and usual experimental procedures could be unusable for interpreting field hydrological processes and particularly rainfall infiltration. The K-s values determined by an infiltrometer experiment carried out by applying water at a relatively large distance from the soil surface could however be more appropriate to explain surface runoff generation phenomena during intense rainfall events. In this study, a link between rainfall simulation and ponding infiltrometer experiments was established for a sandy-loam soil. The height of water pouring for the infiltrometer run was chosen, establishing a similarity between the gravitational potential energy of the applied water, E-p, and the rainfall kinetic energy, E-k. To test the soundness of this procedure, the soil was sampled with the Beerkan estimation of soil transfer parameters procedure of soil hydraulic characterization and two heights of water pouring (0.03m, i.e., usual procedure, and 0.34m, yielding E-p=E-k). Then, a comparison between experimental steady-state infiltration rates, i(sR), measured with rainfall simulation experiments determining runoff production and K-s values for the two water pouring heights was carried out in order to discriminate between theoretically possible (i(sR)K(s)) and impossible (i(sR)3.0.co;2-vCerdà, A. (1999). Seasonal and spatial variations in infiltration rates in badland surfaces under Mediterranean climatic conditions. Water Resources Research, 35(1), 319-328. doi:10.1029/98wr01659Cerdà, A. (2000). Aggregate stability against water forces under different climates on agriculture land and scrubland in southern Bolivia. Soil and Tillage Research, 57(3), 159-166. doi:10.1016/s0167-1987(00)00155-0Cerdà, A. (2001). Effects of rock fragment cover on soil infiltration, interrill runoff and erosion. European Journal of Soil Science, 52(1), 59-68. doi:10.1046/j.1365-2389.2001.00354.xCerdà, A., & Doerr, S. H. (2007). Soil wettability, runoff and erodibility of major dry-Mediterranean land use types on calcareous soils. Hydrological Processes, 21(17), 2325-2336. doi:10.1002/hyp.6755Cerdà, A., Ibáñez, S., & Calvo, A. (1997). Design and operation of a small and portable rainfall simulator for rugged terrain. Soil Technology, 11(2), 163-170. doi:10.1016/s0933-3630(96)00135-3Di Prima, S. (2015). Automated single ring infiltrometer with a low-cost microcontroller circuit. Computers and Electronics in Agriculture, 118, 390-395. doi:10.1016/j.compag.2015.09.022Di Prima, S., Lassabatere, L., Bagarello, V., Iovino, M., & Angulo-Jaramillo, R. (2016). Testing a new automated single ring infiltrometer for Beerkan infiltration experiments. Geoderma, 262, 20-34. doi:10.1016/j.geoderma.2015.08.006Diodato, N., Verstraeten, G., & Bellocchi, G. (2012). DECADAL MODELLING OF RAINFALL EROSIVITY IN BELGIUM. Land Degradation & Development, 25(6), 511-519. doi:10.1002/ldr.2168Gee GW Bauder JW 1986 Particle-size analysis SSSA Book Series 383 411Haverkamp, R., Ross, P. J., Smettem, K. R. J., & Parlange, J. Y. (1994). Three-dimensional analysis of infiltration from the disc infiltrometer: 2. Physically based infiltration equation. Water Resources Research, 30(11), 2931-2935. doi:10.1029/94wr01788Iovino, M., Castellini, M., Bagarello, V., & Giordano, G. (2013). Using Static and Dynamic Indicators to Evaluate Soil Physical Quality in a Sicilian Area. Land Degradation & Development, 27(2), 200-210. doi:10.1002/ldr.2263Iserloh, T., Ries, J. B., Arnáez, J., Boix-Fayos, C., Butzen, V., Cerdà, A., … Wirtz, S. (2013). European small portable rainfall simulators: A comparison of rainfall characteristics. CATENA, 110, 100-112. doi:10.1016/j.catena.2013.05.013Iserloh, T., Ries, J. B., Cerdà, A., Echeverría, M. T., Fister, W., Geißler, C., … Seeger, M. (2013). Comparative measurements with seven rainfall simulators on uniform bare fallow land. Zeitschrift für Geomorphologie, Supplementary Issues, 57(1), 11-26. doi:10.1127/0372-8854/2012/s-00085Keesstra, S., Pereira, P., Novara, A., Brevik, E. C., Azorin-Molina, C., Parras-Alcántara, L., … Cerdà, A. (2016). Effects of soil management techniques on soil water erosion in apricot orchards. Science of The Total Environment, 551-552, 357-366. doi:10.1016/j.scitotenv.2016.01.182B. A. King, & D. L. Bjorneberg. (2012). Transient Soil Surface Sealing and Infiltration Model for Bare Soil under Droplet Impact. Transactions of the ASABE, 55(3), 937-945. doi:10.13031/2013.41525Lado, M., Paz, A., & Ben-Hur, M. (2004). Organic Matter and Aggregate-Size Interactions in Saturated Hydraulic Conductivity. Soil Science Society of America Journal, 68(1), 234-242. doi:10.2136/sssaj2004.2340Lassabatere, L., Angulo-Jaramillo, R., Goutaland, D., Letellier, L., Gaudet, J. P., Winiarski, T., & Delolme, C. (2010). Effect of the settlement of sediments on water infiltration in two urban infiltration basins. Geoderma, 156(3-4), 316-325. doi:10.1016/j.geoderma.2010.02.031Lassabatère, L., Angulo-Jaramillo, R., Soria Ugalde, J. M., Cuenca, R., Braud, I., & Haverkamp, R. (2006). Beerkan Estimation of Soil Transfer Parameters through Infiltration Experiments-BEST. Soil Science Society of America Journal, 70(2), 521-532. doi:10.2136/sssaj2005.0026Lassabatere, L., Angulo-Jaramillo, R., Soria-Ugalde, J. M., Šimůnek, J., & Haverkamp, R. (2009). Numerical evaluation of a set of analytical infiltration equations. Water Resources Research, 45(12). doi:10.1029/2009wr007941Lassabatere, L., Yilmaz, D., Peyrard, X., Peyneau, P. E., Lenoir, T., Šimůnek, J., & Angulo-Jaramillo, R. (2014). New Analytical Model for Cumulative Infiltration into Dual-Permeability Soils. Vadose Zone Journal, 13(12), vzj2013.10.0181. doi:10.2136/vzj2013.10.0181Lassu, T., Seeger, M., Peters, P., & Keesstra, S. D. (2015). The Wageningen Rainfall Simulator: Set-up and Calibration of an Indoor Nozzle-Type Rainfall Simulator for Soil Erosion Studies. Land Degradation & Development, 26(6), 604-612. doi:10.1002/ldr.2360BISSONNAIS, Y. (1996). Aggregate stability and assessment of soil crustability and erodibility: I. Theory and methodology. European Journal of Soil Science, 47(4), 425-437. doi:10.1111/j.1365-2389.1996.tb01843.xLi, X.-Y., González, A., & Solé-Benet, A. (2005). Laboratory methods for the estimation of infiltration rate of soil crusts in the Tabernas Desert badlands. CATENA, 60(3), 255-266. doi:10.1016/j.catena.2004.12.004Lilliefors, H. W. (1967). On the Kolmogorov-Smirnov Test for Normality with Mean and Variance Unknown. Journal of the American Statistical Association, 62(318), 399-402. doi:10.1080/01621459.1967.10482916Liu, H., Lei, T. W., Zhao, J., Yuan, C. P., Fan, Y. T., & Qu, L. Q. (2011). Effects of rainfall intensity and antecedent soil water content on soil infiltrability under rainfall conditions using the run off-on-out method. Journal of Hydrology, 396(1-2), 24-32. doi:10.1016/j.jhydrol.2010.10.028Mualem, Y., Assouline, S., & Rohdenburg, H. (1990). Rainfall induced soil seal (A) A critical review of observations and models. CATENA, 17(2), 185-203. doi:10.1016/0341-8162(90)90008-2Mubarak, I., Angulo-Jaramillo, R., Mailhol, J. C., Ruelle, P., Khaledian, M., & Vauclin, M. (2010). Spatial analysis of soil surface hydraulic properties: Is infiltration method dependent? Agricultural Water Management, 97(10), 1517-1526. doi:10.1016/j.agwat.2010.05.005Nunes, A. N., Lourenço, L., Vieira, A., & Bento-Gonçalves, A. (2014). Precipitation and Erosivity in Southern Portugal: Seasonal Variability and Trends (1950-2008). Land Degradation & Development, 27(2), 211-222. doi:10.1002/ldr.2265Prosdocimi, M., Jordán, A., Tarolli, P., Keesstra, S., Novara, A., & Cerdà, A. (2016). The immediate effectiveness of barley straw mulch in reducing soil erodibility and surface runoff generation in Mediterranean vineyards. Science of The Total Environment, 547, 323-330. doi:10.1016/j.scitotenv.2015.12.076Reynolds, W. D., Bowman, B. T., Brunke, R. R., Drury, C. F., & Tan, C. S. (2000). Comparison of Tension Infiltrometer, Pressure Infiltrometer, and Soil Core Estimates of Saturated Hydraulic Conductivity. Soil Science Society of America Journal, 64(2), 478-484. doi:10.2136/sssaj2000.642478xRockström, J., Jansson, P.-E., & Barron, J. (1998). Seasonal rainfall partitioning under runon and runoff conditions on sandy soil in Niger. On-farm measurements and water balance modelling. Journal of Hydrology, 210(1-4), 68-92. doi:10.1016/s0022-1694(98)00176-0Shainberg, I., & Singer, M. J. (1988). Drop Impact Energy-Soil Exchangeable Sodium Percentage Interactions in Seal Formation. Soil Science Society of America Journal, 52(5), 1449-1452. doi:10.2136/sssaj1988.03615995005200050046xShaver, T. M., Peterson, G. A., Ahuja, L. R., & Westfall, D. G. (2013). Soil sorptivity enhancement with crop residue accumulation in semiarid dryland no-till agroecosystems. Geoderma, 192, 254-258. doi:10.1016/j.geoderma.2012.08.014Somaratne, N. M., & Smettem, K. R. J. (1993). Effect of cultivation and raindrop impact on the surface hydraulic properties of an Alfisol under wheat. Soil and Tillage Research, 26(2), 115-125. doi:10.1016/0167-1987(93)90038-qSouza, E. S., Antonino, A. C. D., Heck, R. J., Montenegro, S. M. G. L., Lima, J. R. S., Sampaio, E. V. S. B., … Vauclin, M. (2014). Effect of crusting on the physical and hydraulic properties of a soil cropped with Castor beans (Ricinus communis L.) in the northeastern region of Brazil. Soil and Tillage Research, 141, 55-61. doi:10.1016/j.still.2014.04.004Tricker, A. S. (1979). The design of a portable rainfall simulator infiltrometer. Journal of Hydrology, 41(1-2), 143-147. doi:10.1016/0022-1694(79)90111-2Turner, R. K., van den Bergh, J. C. J. M., Söderqvist, T., Barendregt, A., van der Straaten, J., Maltby, E., & van Ierland, E. C. (2000). Ecological-economic analysis of wetlands: scientific integration for management and policy. Ecological Economics, 35(1), 7-23. doi:10.1016/s0921-8009(00)00164-6Van De Giesen, N. C., Stomph, T. J., & de Ridder, N. (2000). Scale effects of Hortonian overland flow and rainfall-runoff dynamics in a West African catena landscape. Hydrological Processes, 14(1), 165-175. doi:10.1002/(sici)1099-1085(200001)14:13.0.co;2-1Vandervaere, J.-P., Vauclin, M., Haverkamp, R., Peugeot, C., Thony, J.-L., & Gilfedder, M. (1998). PREDICTION OF CRUST-INDUCED SURFACE RUNOFF WITH DISC INFILTROMETER DATA. Soil Science, 163(1), 9-21. doi:10.1097/00010694-199801000-00003White, I., Sully, M. J., & Melville, M. D. (1989). Use and Hydrological Robustness of Time-to-Incipient-Ponding. Soil Science Society of America Journal, 53(5), 1343-1346. doi:10.2136/sssaj1989.03615995005300050007xXu, X., Kiely, G., & Lewis, C. (2009). Estimation and analysis of soil hydraulic properties through infiltration experiments: comparison of BEST and DL fitting methods. Soil Use and Management, 25(4), 354-361. doi:10.1111/j.1475-2743.2009.00218.xYilmaz, D., Lassabatere, L., Angulo-Jaramillo, R., Deneele, D., & Legret, M. (2010). Hydrodynamic Characterization of Basic Oxygen Furnace Slag through an Adapted BEST Method. Vadose Zone Journal, 9(1), 107. doi:10.2136/vzj2009.0039YOUNGS, E. G. (1987). Estimating hydraulic conductivity values from ring infiltrometer measurements. Journal of Soil Science, 38(4), 623-632. doi:10.1111/j.1365-2389.1987.tb02159.xZimmermann, A., Schinn, D. S., Francke, T., Elsenbeer, H., & Zimmermann, B. (2013). Uncovering patterns of near-surface saturated hydraulic conductivity in an overland flow-controlled landscape. Geoderma, 195-196, 1-11. doi:10.1016/j.geoderma.2012.11.00

    Impacts of thinning of a Mediterranean oak forest on soil properties influencing water infiltration

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    In Mediterranean ecosystems, special attention needs to be paid to forest-water relationships due to water scarcity. In this context, Adaptive Forest Management (AFM) has the objective to establish how forest resources have to be managed with regards to the efficient use of water, which needs maintaining healthy soil properties even after disturbance. The main objective of this investigation was to understand the effect of one of the AFM methods, namely forest thinning, on soil hydraulic properties. At this aim, soil hydraulic characterization was performed on two contiguous Mediterranean oak forest plots, one of them thinned to reduce the forest density from 861 to 414 tree per ha. Three years after the intervention, thinning had not affected soil water permeability of the studied plots. Both ponding and tension infiltration runs yielded not significantly different saturated, Ks, and unsaturated, K-20, hydraulic conductivity values at the thinned and control plots. Therefore, thinning had no an adverse effect on vertical water fluxes at the soil surface. Mean Ks values estimated with the ponded ring infiltrometer were two orders of magnitude higher than K-20 values estimated with the minidisk infiltrometer, revealing probably soil structure with macropores and fractures . The input of hydrophobic organic matter, as a consequence of the addition of plant residues after the thinning treatment, resulted in slight differences in terms of both water drop penetration time, WDPT, and the index of water repellency, R, between thinned and control plots. Soil water repellency only affected unsaturated soil hydraulic conductivity measurements. Moreover, K-20 values showed a negative correlation with both WDPT and R, whereas Ks values did not, revealing that the soil hydrophobic behavior has no impact on saturated hydraulic conductivity

    Comparing transient and steady-state analysis of single-ring infiltrometer data for an abandoned field affected by fire in Eastern Spain

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    Este estudio tenía por objeto determinar la conductividad hidráulica del suelo saturado de campo, Kfs, de un campo no controlado afectado por el fuego mediante recorridos con infiltrómetro de anillo único y el uso de procedimientos de análisis de datos en estado transitorio y estacionario. El muestreo y las mediciones se llevaron a cabo en 2012 y 2017 en un campo afectado por el fuego (sitio quemado) y en un sitio vecino no afectado (sitio de control). Se investigó el potencial de predicción de los diferentes procedimientos de análisis de datos (es decir, de estado transitorio y de estado estacionario) para obtener estimaciones adecuadas del Kfs. En particular, se compararon el método WU1 transitorio y los métodos BB, WU2 y OPD. Se utilizó el método de linealización acumulativa (CL) para aplicar el método WU1. Se obtuvieron valores de Kfs que oscilaban entre 0,87 y 4,21 mm.h-1, dependiendo del método de análisis de datos considerado. El método WU1 no arrojó estimaciones de Kfs significativamente diferentes entre los sitios muestreados a lo largo del período de cinco años, debido al desempeño generalmente deficiente del método CL, que echó a perder la caracterización hidráulica del suelo. En particular, sólo se obtuvieron buenos ajustes en el 23% de los casos. Los métodos BB, WU2 y OPD, con una caracterización basada exclusivamente en un proceso de infiltración estabilizado, produjeron una variabilidad apreciablemente menor de los datos de Kfs en comparación con el método WU1. Se llegó a la conclusión de que los métodos de estado estacionario eran más apropiados para detectar cambios leves de Kfs en las caracterizaciones hidráulicas del suelo después del incendio. Nuestros resultados mostraron un cierto grado de degradación del suelo en el lugar quemado con una reducción inmediata de la materia orgánica del suelo y un aumento progresivo de la densidad aparente del suelo durante los cinco años siguientes al incendio. Este empobrecimiento general dio lugar a una ligera pero significativa disminución de la conductividad hidráulica del suelo saturado por el campo.This study aimed at determining the field-saturated soil hydraulic conductivity, Kfs, of an unmanaged field affected by fire by means of single-ring infiltrometer runs and the use of transient and steady-state data analysis procedures. Sampling and measurements were carried out in 2012 and 2017 in a fire-affected field (burnt site) and in a neighboring non-affected site (control site). The predictive potential of different data analysis procedures (i.e., transient and steady-state) to yield proper Kfs estimates was investigated. In particular, the transient WU1 method and the BB, WU2 and OPD methods were compared. The cumulative linearization (CL) method was used to apply the WU1 method. Values of Kfs ranging from 0.87 to 4.21 mm.h-1 were obtained, depending on the considered data analysis method. The WU1 method did not yield significantly different Kfs estimates between the sampled sites throughout the five-year period, due to the generally poor performance of the CL method, which spoiled the soil hydraulic characterization. In particular, good fits were only obtained in 23% of the cases. The BB, WU2 and the OPD methods, with a characterization based exclusively on a stabilized infiltration process, yielded an appreciably lower variability of the Kfs data as compared with the WU1 method. It was concluded that steady-state methods were more appropriate for detecting slight changes of Kfs in post-fire soil hydraulic characterizations. Our results showed a certain degree of soil degradation at the burnt site with an immediate reduction of the soil organic matter and a progressive increase of the soil bulk density during the five years following the fire. This general impoverishment resulted in a slight but significant decrease in the field-saturated soil hydraulic conductivity.• POSTFIRE Project CGL2013-47862-C2-1 y 2-R • POSTFIRE-CARE Project CGL2016-75178-C2-2-RpeerReviewe

    Trincheira de infiltração como técnica compensatória no manejo das águas pluviais urbanas

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    Este trabalho apresenta um projeto experimental de uma trincheira de infiltração instalada na cidade de Recife, PE, nos primeiros meses de vida útil. Foram avaliadas as funções de armazenamento de água no interior do sistema e a função de infiltração, observando-se o processo de recessão. Em razão dos consequentes eventos de precipitação, a trincheira foi muito solicitada, não tendo suprido, em alguns casos, o grande volume de entrada, o que gerou extravasamento na estrutura. Uma análise de custo foi implementada e avaliaram-se o desempenho e o custo de construção para os tempos de retorno (2, 5, 10 e 25 anos) e durações de chuva de projeto (10, 15, 60 e 120 min). Essa análise revelou que houve subdimensionamento da camada de armazenamento. Apesar disso, a trincheira de infiltração apresentou resultados positivos, com a capacidade de infiltrar no mínimo 63,57% dos volumes de entrada, ou seja, trata-se de uma técnica compensatória no manejo das águas pluviais urbanas

    On Infiltration and Infiltration Characteristic Times

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    In his seminal paper on the solution of the infiltration equation, Philip (1969), https://doi-org.proxy.library.uu.nl/10.1016/b978-1-4831-9936-8.50010-6 proposed a gravity time, tgrav, to estimate practical convergence time and the time domain validity of his infinite time series expansion, TSE, for describing the transient state. The parameter tgrav refers to a point in time where infiltration is dominated equally by capillarity and gravity as derived from the first two (dominant) terms of the TSE. Evidence suggests that applicability of the truncated two-term equation of Philip has a time limit requiring higher-order TSE terms to better describe the infiltration process for times exceeding that limit. Since the conceptual definition of tgrav is valid regardless of the infiltration model used, we opted to reformulate tgrav using the analytic implicit model proposed by Parlange et al. (1982), https://doi-org.proxy.library.uu.nl/10.1097/00010694-198206000-00001 valid for all times and related TSE. Our derived gravity times ensure a given accuracy of the approximations describing transient states, while also providing insight about the times needed to reach steady state. In addition to the roles of soil sorptivity (S) and the saturated (Ks) and initial (Ki) hydraulic conductivities, we explored the effects of a soil specific shape parameter β, involved in Parlange's model and related to the type of soil, on the behavior of tgrav. We show that the reformulated tgrav (notably urn:x-wiley:00431397:media:wrcr26009:wrcr26009-math-0001 where F(β) is a β-dependent function) is about three times larger than the classical tgrav given by urn:x-wiley:00431397:media:wrcr26009:wrcr26009-math-0002. The differences between the classical tgrav,Philip and the reformulated tgrav increase for fine-textured soils, attributed to the time needed to attain steady-state infiltration and thus i + infiltration for inferring soil hydraulic properties. Results show that the proposed tgrav is a better indicator of time domain validity than tgrav,Philip. For the attainment of steady-state infiltration, the reformulated tgrav is suitable for coarse-textured soils. Still neither the reformulated tgrav nor the classical tgrav,Philip are suitable for fine-textured soils for which tgrav is too conservative and tgrav,Philip too short. Using tgrav will improve predictions of the soil hydraulic parameters (particularly Ks) from infiltration data compared to tgrav,Philip

    Development and analysis of the Soil Water Infiltration Global database

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    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
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