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210 results on '"Wim Cornelis"'

202. Using an inverse modelling approach to evaluate the water retention in a simple water harvesting technique

Author

Koen Verbist, Wim Cornelis, Guido Soto, K. Alaerts, and Donald Gabriëls

Subjects
lcsh:GE1-350, Hydrology, lcsh:T, lcsh:Geography. Anthropology. Recreation, Soil science, lcsh:Technology, lcsh:TD1-1066, Water retention, Percolation trench, Infiltration (hydrology), lcsh:G, Hydraulic conductivity, Earth and Environmental Sciences, Soil water, medicine, Environmental science, Infiltrometer, lcsh:Environmental technology. Sanitary engineering, medicine.symptom, Surface runoff, Water content, lcsh:Environmental sciences
Abstract

In arid and semi-arid zones, runoff harvesting techniques are often applied to increase the water retention and infiltration on steep slopes. Additionally, they act as an erosion control measure to reduce land degradation hazards. Nevertheless, few efforts were observed to quantify the water harvesting processes of these techniques and to evaluate their efficiency. In this study, a combination of detailed field measurements and modelling with the HYDRUS-2D software package was used to visualize the effect of an infiltration trench on the soil water content of a bare slope in northern Chile. Rainfall simulations were combined with high spatial and temporal resolution water content monitoring in order to construct a useful dataset for inverse modelling purposes. Initial estimates of model parameters were provided by detailed infiltration and soil water retention measurements. Four different measurement techniques were used to determine the saturated hydraulic conductivity (Ksat) independently. The tension infiltrometer measurements proved a good estimator of the Ksat value and a proxy for those measured under simulated rainfall, whereas the pressure and constant head well infiltrometer measurements showed larger variability. Six different parameter optimization functions were tested as a combination of soil-water content, water retention and cumulative infiltration data. Infiltration data alone proved insufficient to obtain high model accuracy, due to large scatter on the data set, and water content data were needed to obtain optimized effective parameter sets with small confidence intervals. Correlation between the observed soil water content and the simulated values was as high as R2=0.93 for ten selected observation points used in the model calibration phase, with overall correlation for the 22 observation points equal to 0.85. The model results indicate that the infiltration trench has a significant effect on soil-water storage, especially at the base of the trench.

203. Impact of mechanized logging on compaction status of sandy forest soils

Author

Kris Verheyen, Wim Cornelis, Evy Ampoorter, and Robbie Goris

Subjects
Logging, Soil water, Compaction, Soil horizon, Environmental science, Forestry, Soil science, Penetration (firestop), Management, Monitoring, Policy and Law, Elongation, Soil type, Bulk density, Nature and Landscape Conservation
Abstract

Impact of skidding traffic on bulk density and penetration resistance of two sandy forest soils was examined in Putte (the Netherlands). Different levels of compaction were applied by varying the number of skidding cycles: one pass harvester (H), one pass harvester and forwarder (H + F), and multiple passes of both machines (Max). Bulk density and penetration resistance were measured on the undisturbed surface (UD), between the wheel tracks (BT) and within the tracks (WT). For WT, treatment H induced a clear increase of both soil properties in the upper 30 cm of the soil profile compared to the UD. The continuation of the passes to Max only resulted in a limited rise in bulk density. However, penetration resistance was significantly higher in Max in comparison with H. BT values were situated between UD and WT. Here, on site 1 both properties decreased with increasing number of passes, while on site 2, we observed the opposite, which was probably associated with the soil water status at time of harvesting. Measurements taken within tracks where logging residues were piled up to 40 cm revealed that a brash mat could reduce the compaction level to a considerable extent. The relationship between bulk density and penetration resistance appeared to be non-linear, with bulk density becoming insensitive to penetration resistance changes at higher penetration resistance values. On these sandy soils, we recorded significant increases of bulk density and penetration resistance, but rarely exceeding growth limits for optimal root elongation. However, as amongst other things, sandy soils are expected to recover very slowly and certain soil processes may already be influenced at lower compaction levels, designated skid trails should also on this soil type be used to minimize the influence on the ecosystem.

204. Optimal windbreak design for wind-erosion control

Author

Wim Cornelis and Donald Gabriëls

Subjects
Canopy, Deposition (aerosol physics), Ecology, Erosion, Environmental science, Aeolian processes, Geotechnical engineering, Porosity, Windbreak, Ecology, Evolution, Behavior and Systematics, Wind speed, Earth-Surface Processes, Sand dune stabilization
Abstract

In order to find the optimal windbreak design in terms of its porosity, its distribution with height and the number of rows needed, a wind-tunnel study was conducted. Measurements of the total wind-velocity reduction coefficient of windbreaks with a porosity ranging from 0 to 1 m 2 m −2 showed that a Gaussian peak function fitted very well to the data. It was concluded that a porosity of 0.20–0.35 m 2 m −2 is optimal in terms of wind-velocity reduction. With regards to the distribution of porosity with height, an evenly distributed porosity of stem and canopy resulted in the longest protected area, i.e. the area where the wind-velocity reduction is more than 50%. This was also the case for single-row barriers compared to two- and three-row windbreaks. Experiments with dry loose dune sand were conducted to deduce zones of erosion and deposition behind differently designed windbreaks. The observed zones could be well explained by considering the threshold wind velocity that was computed for the dune sand used in combination with isowind-velocity lines. The results are useful for construction of windbreaks. However, one should bear in mind that the optimal design depends strongly on the purpose for which it is constructed, viz. protection of a field from being eroded or protection of infrastructure from being buried.

205. Comparison of unimodal analytical expressions for the soil-water retention curve

Author

Roger Hartmann, Bruno De Vos, Marc Van Meirvenne, Muhammed Khlosi, and Wim Cornelis

Subjects
Hydrology, Soil series, Soil test, Mathematical model, Soil water, Soil Science, Linearity, Soil science, Akaike information criterion, Water content, Mathematics, Free parameter
Abstract

This study was conducted to evaluate ten closed-form unimodal analytical expressions to describe the soil-water retention curve, in terms of their accuracy, linearity, Akaike Information Criterion (AIC), and prediction potential. The latter was evaluated by correlating the model parameters to basic soil properties. Soil samples were taken in duplicate from 48 horizons of 24 soil series in Flanders, Belgium. All sample locations were under forest and hence the samples had, besides their difference in texture, a high variety in bulk density (ρ b ) and organic matter content (OM). The van Genuchten model with m as a free parameter showed the highest overall performance in terms of goodness-of-fit. It had the highest accuracy, the highest degree of linearity, and the lowest AIC value. However, it had a low prediction potential. Imposing the constraint m = 1 - 1/n and hence reducing the number of model parameters by one, increased the prediction potential of the model significantly, without loosing much of the model's accuracy and linearity. A high degree of accuracy and linearity was also observed for the two Kosugi models tested. Restricting the bubbling pressure to be equal to zero resulted in a rather high prediction potential, which was not the case when keeping the bubbling pressure as a free parameter. A major drawback of van Genuchten and Kosugi type models is that they do not define the soil-water retention curve beyond the residual water content. We further demonstrated that the performance of all but one model in terms of their match to the data Increased with increasing clay content and decreasing sand content, which is contradictory to the deterministic character of these models. Bulk density and OM did not have a significant effect on the accuracy of most models.

207. Splash-saltation of sand due to wind-driven rain: Vertical deposition flux and sediment transport rate

Author

Wim Cornelis, Greet Oltenfreiter, Roger Hartmann, and Donald Gabriëls

Subjects
Splash, Astrophysics::High Energy Astrophysical Phenomena, Mass flow, Soil Science, Sediment, Atmospheric sciences, Physics::Geophysics, Condensed Matter::Soft Condensed Matter, Flux (metallurgy), Saltation (geology), Wind shear, Physics::Space Physics, Environmental science, Aeolian processes, Sediment transport, Geomorphology, Physics::Atmospheric and Oceanic Physics
Abstract

Although transport of sediment under wind-driven rains is generally not accounted for in equations for sediment transport by wind, the contribution of this rainsplash-saltation process can be substantial. Wind-tunnel experiments, in which vertical deposition fluxes were measured at 23 distances from a sand tray, were conducted to study sediment transport under wind-driven rain and rainless wind conditions. It was shown that the vertical deposition flux could be described by a double exponential equation. By integration of the vertical deposition flux over the distance of deposition, the sediment transport rate was computed. A power-law function including both the normal component of the kinetic energy or momentum of the raindrops and the wind shear velocity was presented. However, including the wind shear velocity in the equation increased the model performance only slightly. When comparing the sediment transport rates as determined under the wind-driven rain events with those that were observed when rain was absent, it was shown that in the latter case, the transport rate is much higher at high wind shear velocities. However, at low wind shear velocities and moisture conditions where no motion is predicted by aeolian equations, saltation due to rainsplash is likely to occur and can be predicted with the presented model.

208. Sensitivity of source apportionment predicted by a Bayesian tracer mixing model to the inclusion of a sediment connectivity index as an informative prior: Illustration using the Kharka catchment (Nepal)

Author

Hari Ram Upadhayay, Pascal Boeckx, Wim Cornelis, Sushil Lamichhane, Roshan M. Bajracharya, and Adrian L. Collins

Subjects
Pollution, Environmental Engineering, 010504 meteorology & atmospheric sciences, media_common.quotation_subject, Drainage basin, Soil science, 010501 environmental sciences, Prior information, 01 natural sciences, Article, Sediment source apportionment, Sediment connectivity index, TRACER, Environmental Chemistry, Waste Management and Disposal, 0105 earth and related environmental sciences, media_common, geography, geography.geographical_feature_category, δ13C, Sediment, Upland and lowland, Saturated fatty acid, Soil water, Environmental science, Compound-specific stable isotope (CSSI), Water erosion
Abstract

Long-chain saturated fatty acid (LCSFA) isotopic composition in tandem with Bayesian isotope mixing models (BIMM) can provide insight into land use-based sediment sources in catchment systems. Apportioning sediment sources robustly, however, requires careful consideration of how additional factors including topography, surface cover and land use practices interact to influence contributions from individual sources. Prior knowledge can be used in BIMM; however, the full capacity of this functionality has not been thoroughly exploited yet in conjunction with sediment fingerprinting. In response, we propose an approach for applying a state-of-the-art BIMM incorporating a sediment connectivity index (SCI) as an informative prior for sediment source apportionment in a highly hydrodynamic catchment in Nepal. A library of LCSFA carbon isotopic composition was constructed for surface soils collected from mixed forest, upland and lowland terraces in the Kharka micro-catchment. δ13C values of LCSFA of time-integrated suspended bulk (, Graphical abstract Unlabelled Image, Highlights • Sensitivity of a BIMM to connectivity indices was tested. • Community forest contribution to fine sediment increased 23% with informative priors. • δ13C-FAs values must be obtained from the same size fractions for both source soil and target sediment. • Topographic features and forest management highly influence sediment generation and delivery.

209. An assessment of wheat (Triticum aestivum L.) genotypes under saline and waterlogged compacted soil conditions, II: leaf ion concentrations

Author

Asgari, Hamid, Wim Cornelis, and Patrick Van Damme

Subjects
Agriculture and Food Sciences, food and beverages
Abstract

A pot experiment was conducted to study effects of salinity and waterlogging under soil compaction conditions on grain yield and yield components of wheat. Treatments were arranged in a factorial layout assigned to a randomized complete design with three replications. Treatment combinations included: two sets of compaction levels, i.e. non-compacted and compacted soil; four abiotic stresses, i.e. non-saline aerobic (untreated silt loam texture soil having ECe = 3 dS m-1); saline × aerobic (S) (ECe 15 dS m-1); saline × waterlogged (S×W); and waterlogged alone (W) were applied; and two Iranian wheat genotypes i.e. Kouhdasht and Tajan. Compaction was achieved by dropping a 5 kg weight, 20 times from 70 cm height on a wooden block placed on top of soil-filled pots. In non-waterlogged treatments, soil water was maintained at 70% of available water holding capacity (AWHC). Waterlogging was achieved by maintaining water up to 110% of the soil’s AWHC for 25 days during tillering stage. S×W caused significantly higher reduction in K+ concentration for both genotypes than other treatments. S×W also resulted in higher leaf Na+ and Cl- concentrations in comparison to other treatments. Kouhdasht maintained significantly higher K + concentration and K+: Na+ ratio at S and S×W treatments than that Tajan (under both non-compacted and compacted soil conditions).

210. Development and analysis of the Soil Water Infiltration Global database

Author

M. Rahmati, L. Weihermüller, J. Vanderborght, Y. A. Pachepsky, L. Mao, S. H. Sadeghi, N. Moosavi, H. Kheirfam, C. Montzka, K. Van Looy, B. Toth, Z. Hazbavi, W. Al Yamani, A. A. Albalasmeh, M. Z. Alghzawi, R. Angulo-Jaramillo, A. C. D. Antonino, G. Arampatzis, R. A. Armindo, H. Asadi, Y. Bamutaze, J. Batlle-Aguilar, B. Béchet, F. Becker, G. Blöschl, K. Bohne, I. Braud, C. Castellano, A. Cerdà, M. Chalhoub, R. Cichota, M. Císlerová, B. Clothier, Y. Coquet, W. Cornelis, C. Corradini, A. P. Coutinho, M. B. de Oliveira, J. R. de Macedo, M. F. Durães, H. Emami, I. Eskandari, A. Farajnia, A. Flammini, N. Fodor, M. Gharaibeh, M. H. Ghavimipanah, T. A. Ghezzehei, S. Giertz, E. G. Hatzigiannakis, R. Horn, J. J. Jiménez, D. Jacques, S. D. Keesstra, H. Kelishadi, M. Kiani-Harchegani, M. Kouselou, M. Kumar Jha, L. Lassabatere, X. Li, M. A. Liebig, L. Lichner, M. V. López, D. Machiwal, D. Mallants, M. S. Mallmann, J. D. de Oliveira Marques, M. R. Marshall, J. Mertens, F. Meunier, M. H. Mohammadi, B. P. Mohanty, M. Pulido-Moncada, S. Montenegro, R. Morbidelli, D. Moret-Fernández, A. A. Moosavi, M. R. Mosaddeghi, S. B. Mousavi, H. Mozaffari, K. Nabiollahi, M. R. Neyshabouri, M. V. Ottoni, T. B. Ottoni Filho, M. R. Pahlavan-Rad, A. Panagopoulos, S. Peth, P.-E. Peyneau, T. Picciafuoco, J. Poesen, M. Pulido, D. J. Reinert, S. Reinsch, M. Rezaei, F. P. Roberts, D. Robinson, J. Rodrigo-Comino, O. C. Rotunno Filho, T. Saito, H. Suganuma, C. Saltalippi, R. Sándor, B. Schütt, M. Seeger, N. Sepehrnia, E. Sharifi Moghaddam, M. Shukla, S. Shutaro, R. Sorando, A. A. Stanley, P. Strauss, Z. Su, R. Taghizadeh-Mehrjardi, E. Taguas, W. G. Teixeira, A. R. Vaezi, M. Vafakhah, T. Vogel, I. Vogeler, J. Votrubova, S. Werner, T. Winarski, D. Yilmaz, M. H. Young, S. Zacharias, Y. Zeng, Y. Zhao, H. Zhao, H. Vereecken, Institute of Bio- and Geosciences [Jülich] (IBG), Forschungszentrum Jülich GmbH, Department of Soil Science and Engineering, Faculty of Agriculture, University of Maragheh, ISMC International Soil Modeling Consortium, Institute of Bio and Geosciences Forschungszentrum Jülich, USDA-ARS : Agricultural Research Service, Chinese Academy of Agricultural Sciences (CAAS), Tarbiat Modares University [Tehran], Urmia University, Hungarian Academy of Sciences (MTA), University of Pannonia, UAE University, Jordan University of Science and Technology [Irbid, Jordan], Laboratoire d'Ecologie des Hydrosystèmes Naturels et Anthropisés (LEHNA), Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-École Nationale des Travaux Publics de l'État (ENTPE)-Centre National de la Recherche Scientifique (CNRS), Centro Acadêmico do Agreste (CAA), Universidade Federal de Pernambuco [Recife] (UFPE), Hellenic Agricultural Organization, Soil and Water Resources Institute, Department of Physics (DFI), Federal University of Lavras (UFLA), University of Tehran, Makerere University (MAK), Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Innovative Groundwater Solutions, Interactions et dynamique des environnements de surface (IDES), Université Paris-Sud - Paris 11 (UP11)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Université Paris-Saclay, Eau et Environnement (IFSTTAR/GERS/EE), Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-PRES Université Nantes Angers Le Mans (UNAM), Department of Earth Sciences, Institute of Geographical Sciences, Freie Universität Berlin, Centre for Water Resource Systems, Institute of Hydraulic Engineering and Water Resources Management, University of Technology, University of Rostock [Germany], Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Pyrenean Institute of Ecology (CSIC), Universitat de València (UV), Mount Albert Research Station, New Zealand Institute for Plant and Food Research Limited, Czech Technical University in Prague (CTU), The New Zealand Institute for Plant & Food Research (NEW ZEALAND), Institut des Sciences de la Terre d'Orléans - UMR7327 (ISTO), Bureau de Recherches Géologiques et Minières (BRGM) (BRGM)-Observatoire des Sciences de l'Univers en région Centre (OSUC), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université d'Orléans (UO)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université d'Orléans (UO)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Institut national des sciences de l'Univers (INSU - CNRS)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS), Biogéosystèmes Continentaux - UMR7327, PSL Research University (PSL)-PSL Research University (PSL)-Institut national des sciences de l'Univers (INSU - CNRS)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS)-Bureau de Recherches Géologiques et Minières (BRGM) (BRGM)-Observatoire des Sciences de l'Univers en région Centre (OSUC), Ghent University [Belgium] (UGENT), Department of Civil and Environmental Engineering of the University of Perugia, Italy, Università degli Studi di Perugia (UNIPG), UniRedentor University Center, Embrapa Solos, Ministério da Agricultura, Department of Soil Science, Faculty of Agriculture, Ferdowsi University of Mashhad, Agricultural Research, Education and Extension Organization Maragheh, Dryland Agricultural Research Institute, East Azerbaijan Agricultural and Natural Resources Research and Education center, Scientific Member of Soil and Water Research Department, Department of Civil and Environmental Engineering, Virginia Polytechnic Institute and State University, Centre for Agricultural Research [Budapest] (ATK), Department of Natural Resources and Environment, Faculty of Agriculture, Jordan University of Science and Technology, Department of Watershed Management Engineering, Faculty of Natural Resources, Life and Environmental Sciences, University of California, Geographisches Institut, Rheinische Friedrich-Wilhelms-Universität Bonn, Institute of Plant Nutrition and Soil Science, Christian-Albrechts-Universität zu Kiel (CAU), ARAID Researcher, Spanish National Research Council (IPE-CSIC), Instituto Pirenaico de Ecología-CSIC (IPE-CSIC), Enginereed and Geosystems Analysis Unit, Belgian Nuclear Research Centre, Soil, Water and Land Use Team, Wageningen Environmental Researc, Civil, Surveying and Environmental Engineering, University of Newcastle [Australia] (UoN), Department of Soil Science, College of Agriculture, Isfahan University of Technology, Agricultural and Food Engineering Department, Indian Institute of Technology Kharagpur (IIT Kharagpur), State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Research Soil Scientist, United States Department of Agriculture - Agricultural Research Service, Slovak Academy of Sciences, Slovak Academy of Science [Bratislava] (SAS), Departamento de Suelo y Agua, Consejo Superior de Investigaciones Científicas (CSIC), Pomology Department, Estación Experimental de Aula Dei, Regional Research Station, ICAR-Central Arid Zone Research Institute, CSIRO Land and Water, Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), Soil Science Graduate Program (ufsm.br/ppgcs), Federal University of Santa Maria, Science and Technology of the Amazonas – IFAM, Federal Institute of Education, Environment Centre Wales, Bangor University, ENGIE, Earth and Life Institute - Environmental Sciences (ELIE), Université Catholique de Louvain (UCL), Department of Environmental Sciences, Urmia Lake Research Institute, Department of Biological and Agricultural Engineering, 2117 TAMU, College Station, Texas A&M University System, Department of Agroecology, Research Centre Foulum, Aarhus University, Shiraz University (Shiraz University ), University of Kurdistan, University of Tabriz, Department of Hydrology, Geological Survey of Brazil (CPRM), Department of Water Resources and Environment, Soil and Water Research Department, Agricultural Research, Education and Extension Organization (AREEO), Sistan Agricultural and Natural Resources Research and Education Center, Department of Soil Science, University of Saskatchewan, Department of Earth and Environmental Sciences [Leuven-Heverlee], Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven), GeoEnvironmental Research Group, Faculty of Philosophy and Letters, University of Extremadura, Soil Science Department, University of Panonia, Department of Soil Management, UNESCO Chair on Eremology, Ghent University, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran, Soil and Water Research Institute, Instituto de Geomorfología y Suelos, Department of Geography, Universidad de Málaga [Málaga], Department of Physical Geography, Trier University, Civil Engineering Program, Alberto Luiz Coimbra Institute for Postgraduate Studies and Research in Engineering (COPPE), Federal University of Rio de Janeiro, Faculty of Agriculture, United Graduate School of Agricultural Science, Department of Materials and Life Science, Seikei University, Plant and Environmental Sciences, University of Gothenburg (GU), Rural Development Division, Japan International Research Center for Agricultural Sciences (JIRCAS), RiverLy (UR Riverly), Department of Agricultural and Bio-Resources Engineering, Faculty of Engineering, Ahmadu Bello University Zaria, Federal Agency for Water Management, Institute for land and water management research, Department of Water Resources, ITC Faculty of Geo-Information Science and Earth Observation, Twente University, Faculty of Agriculture and Natural Resources, Ardakan University, Department of Rural Engineering, University of Córdoba, Soil Physics, Embrapa Soils, Department of Soil Science, Agriculture Faculty, University of Zanja, Faculty of Civil Engineering, Department of Geography, Escuela Militar de Ingeniería (EMI), Engineering Faculty, Civil Engineering Department, Munzur University, Bureau of Economic Geology, John A. and Katherine G. Jackson School of Geosciences, University Station, University of Texas at Austin [Austin], Monitoring and Exploration Technologies, Helmholtz Centre for Environmental Research (UFZ), College of Resources and Environmental Engineering, Ludong University, ANR-11-BS56-0027,FLOODSCALE,Observation et modélisation multi-échelles pour la compréhension et la simulation des crues éclair(2011), ANR-07-VULN-0001,AVUPUR,Assessing the Vulnerability of Peri-Urban-Rivers.(2007), MEHDI RAHMATI, University of Maragheh, Maragheh, Iran/Institute of Bio- and Geosciences: Agrosphere (IBG-3), Jülich, Germany, LUTZ WEIHERMÜLLER, Institute of Bio- and Geosciences: Agrosphere (IBG-3), Jülich, Germany, SEYED HAMIDREZA SADEGHI, Tarbiat Modares University, Iran, LILI MAO, Chinese Academy of Agricultural Sciences, Beijing, YAKOV A. PACHEPSKY, USDA-ARS Environmental Microbial and Food Safety Laboratory, Beltsville, MD, JAN VANDERBORGHT, Institute of Bio- and Geosciences: Agrosphere (IBG-3), Jülich, Germany, NILOOFAR MOOSAVI, Institute of Bio- and Geosciences: Agrosphere (IBG-3), Jülich, Germany, HOSSEIN KHEIRFAM, Urmia University, Urmia, Iran, CARSTEN MONTZKA, Institute of Bio- and Geosciences: Agrosphere (IBG-3), Jülich, Germany, KRIS VAN LOOY, Institute of Bio- and Geosciences: Agrosphere (IBG-3), Jülich, Germany, ZEINAB HAZBAVI, Tarbiat Modares University, Iran, BRIGITTA TOTH, Hungarian Academy of Sciences, Budapest, Hungary/University of Pannonia, Keszthely, Hungary, WAFA AL YAMANI, Environment Agency, Abu Dhabi, UAE, AMMAR A. ALBALASMEH, Jordan University of Science and Technology, RAFAEL ANGULO-JARAMILLO, Univ Lyon, Université Claude Bernard Lyon, ANTÔNIO CELSO DANTAS ANTONINO, UFPE, GEORGE ARAMPATZIS, Hellenic Agricultural Organization, Soil and Water Resources Institute, Greece, ROBSON ANDRÉ ARMINDO, UFLA, HOSSEIN ASADI, University of Tehran, Karaj, Iran, YAZIDHI BAMUTAZE, Makerere University, Kampala, Uganda, JORDI BATLLE-AGUILAR, INRA, AgroParisTech Thiverval-Grignon, France/IDES CNRS/Université Paris-Sud, Orsay CEDEX/Innovative Groundwater Solutions (IGS), South Australia, Australia, BÉATRICE BÉCHET, IFSTTAR, GERS, France, MA'IN Z. ALGHZAWI, Jordan University of Science and Technology, FABIAN BECKER, Freie Universität Berlin, BRENT CLOTHIER, Plant and Food Research, Palmerston North, New Zealand, WIM CORNELIS, Ghent University, Ghent, Belgium, CORRADO CORRADINI, University of Perugia, Perugia, Italy, ARTUR PAIVA COUTINHO, UFPE, MURIEL BASTISTA DE OLIVEIRA, UniRedentor, Itaperuna, JOSE RONALDO DE MACEDO, CNPS, MATHEUS FONSECA DURÃES, UFLA, NÁNDOR FODOR, Agricultural Institute, Centre for Agricultural Research, Hungarian Academy of Sciences, GÜNTER BLÖSCHL, Centre for Water Resource Systems, TU Wien, Karlsplatz/Institute of Hydraulic Engineering and Water Resources Management, ALESSIA FLAMMINI, Ghent University, Ghent, Belgium, ASGHAR FARAJNIA, East Azerbaijan Agricultural and Natural Resources Research and Education Center, Iran, IRAJ ESKANDARI, Dryland Agricultural Research Institute, Agricultural Research, Education and Extension Organization Maragheh, East Azerbaijan, Iran, HOJAT EMAMI, Ferdowsi University of Mashhad, Mashhad, Iran, KLAUS BOHNE, University of Rostock, Germany, ISABELLE BRAUD, Irstea, UE RiverLy, Lyon-Villeurbanne Center, France, CLARA CASTELLANO, Pyrenean Institute of Ecology-CSIC, ARTEMI CERDÀ, University of Valencia, Spain, MAHA CHALHOUB, INRA AgroParisTech Functional Ecology and Ecotoxicology of Agroecosystems, ROGERIO CICHOTA, Plant and Food Research, Mount Albert Research Station, Auckland, New Zealand, MILENA CÍSLEROVÁ, Czech Technical University in Prague, Faculty of Civil Engineering, YVES COQUET, INRA AgroParisTech Functional Ecology and Ecotoxicology of Agroecosystems/Université d'Orléans, CNRS, Orléans, France, HAMID KELISHADI, Isfahan University of Technology, Iran, RAINER HORN, Christian-Albrechts-Universität zu Kiel, Germany, EVANGELOS G. HATZIGIANNAKIS, Hellenic Agricultural Organization, Soil and Water Resources Institute, Greece, SIMONE GIERTZ, Universität Bonn, Bonn, Germany, TEAMRAT A. GHEZZEHEI, University of California, Merced, USA, MOHAMAD HOSSEIN GHAVIMIPANAH, Tarbiat Modares University, Iran, MAMOUN GHARAIBEH, Jordan University of Science and Technology, JUAN JOSÉ JIMÉNEZ, ARAID Researcher, Instituto Pirenaico de Ecología, Spanish National Research Council, SASKIA DEBORAH KEESSTRA, Soil, Water and Land Use Team, Wageningen Environmental Research/the University of Newcastle, Australia, DIEDERIK JACQUES, Enginereed and Geosystems Analysis Unit, Belgian Nuclear Research Centre, Mol, Belgium, MAHBOOBEH KIANI-HARCHEGANI, Faculty of Natural Resources, Tarbiat Modares University, Iran, MEHDI KOUSELOU, Faculty of Agriculture, University of Maragheh, Maragheh, Iran, MADAN KUMAR JHA, Indian Institute of Technology Kharagpur, India, LAURENT LASSABATERE, Univ Lyon, Université Claude Bernard Lyon 1, CNRS, ENTPE, Vaulx-en-Velin, France, XIAOYAN LI, Beijing Normal University, Beijing, China, MARK A. LIEBIG, USDA Agricultural Research Service, Mandan, ND, USA, DENIZ YILMAZ, Munzur University, Tunceli, Turkey, MICHAEL H. YOUNG, University of Texas at Austin, University Station, USA, HONG ZHAO, University of Twente, Enschede, the Netherlands, HARRY VEREECKEN, Forschungszentrum Jülich GmbH, Institute of Bio- and Geosciences: Agrosphere (IBG-3), Jülich, Germany/ISMC International Soil Modeling Consortium, Institute of Bio and Geosciences Forschungszentrum, Germany., MARÍA VICTORIA LÓPEZ, Departamento de Suelo y Agua, Estación Experimental de Aula Dei (EEAD), Consejo Superior de Investigaciones Científicas, Spain, DEEPESH MACHIWAL, ICAR-Central Arid Zone Research Institute, Regional Research Station, Gujarat, India, DIRK MALLANTS, CSIRO Land and Water, Glen Osmond, South Australia, Australia, MICAEL STOLBEN MALLMANN, UFSM, JEAN DALMO DE OLIVEIRA MARQUES, IFAM, MILES R. MARSHALL, Centre for Ecology & Hydrology, Environment Centre Wales, Deiniol Road, Bangor, UK, JAN MERTENS, ENGIE Research and Technologies, Brussels, Belgium, FÉLICIEN MEUNIER, Université catholique de Louvain, Earth and Life Institute-Environmental Sciences, Louvain-la Neuve, Belgium, MOHAMMAD HOSSEIN MOHAMMADI, University of Tehran, Karaj, Iran, BINAYAK P. MOHANTY, Department of Biological and Agricultural Engineering, Texas A&M Univ., College Station, USA, MANSONIA PULIDO-MONCADA, Aarhus University, Department of Agroecology, Research Centre Foulum, Tjele, Denmark, SUZANA MONTENEGRO, UFPE, RENATO MORBIDELLI, University of Perugia, Perugia, Italy, DAVID MORET-FERNÁNDEZ, Departamento de Suelo y Agua, Estación Experimental de Aula Dei (EEAD), Consejo Superior de Investigaciones Científicas (CSIC), Spain, ALI AKBAR MOOSAVI, Department of Soil Science, College of Agriculture, Shiraz University, Shiraz, Iran, MOHAMMAD REZA MOSADDEGHI, Department of Soil Science, College of Agriculture, Isfahan University of Technology, Iran, SEYED BAHMAN MOUSAVI, Department of Soil Science and Engineering, Faculty of Agriculture, University of Maragheh, Maragheh, Iran, HASAN MOZAFFARI, Department of Soil Science, College of Agriculture, Shiraz University, Shiraz, Iran, KAMAL NABIOLLAHI, Department of Soil Science and Engineering, Faculty of Agriculture, University of Kurdistan, Iran, MOHAMMAD REZA NEYSHABOURI, Department of Soil Science, Faculty of Agriculture, University of Tabriz, Tabriz, Iran, MARTA VASCONCELOS OTTONI, CPRM, THEOPHILO BENEDICTO OTTONI FILHO, UFRJ, MOHAMMAD REZA PAHLAVAN-RAD, Soil and Water Research Department, Sistan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Zabol, Iran, ANDREAS PANAGOPOULOS, Hellenic Agricultural Organization, Soil and Water Resources Institute, Greece, STEPHAN PETH, Department of Soil Science, University of Kassel, Germany, PIERRE-EMMANUEL PEYNEAU, IFSTTAR, Bouguenais, France, TOMMASO PICCIAFUOCO, Centre for Water Resource Systems, Vienna, Austria/University of Perugia, Perugia, Italy, JEAN POESEN, Catholic University of Leuven, Geo-Institute, Belgium, MANUEL PULIDO, GeoEnvironmental Research Group, University of Extremadura, Cáceres, Spain, DALVAN JOSÉ REINERT, UFSM, SABINE REINSCH, Centre for Ecology & Hydrology, Environment Centre Wales, UK, MEISAM REZAEI, Department of Soil Management, UNESCO Chair on Eremology, Ghent University, Ghent, Belgium/Soil and Water Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran, FRANCIS PARRY ROBERTS, Centre for Ecology & Hydrology, Environment Centre Wales, UK, DAVID ROBINSON, Centre for Ecology & Hydrology, Environment Centre Wales, Deiniol Road, UK, JESÚS RODRIGO-COMINO, University of Málaga, Spain/Trier University, Trier, Germany, OTTO CORRÊA ROTUNNO FILHO, UFRJ, TADAOMI SAITO, Faculty of Agriculture, Tottori University, Japan, HIDEKI SUGANUMA, Seikei University, Tokyo, Japan, CARLA SALTALIPPI, Department of Civil and Environmental Engineering, University of Perugia, Perugia, Italy, RENÁTA SÁNDOR, Agricultural Institute, Centre for Agricultural Research, Hungarian Academy of Sciences, Hungary, BRIGITTA SCHÜTT, Freie Universität Berlin, Department of Earth Sciences, Institute of Geographical Sciences, Berlin, Germany, MANUEL SEEGER, Department of Physical Geography, Trier University, Germany, NASROLLAH SEPEHRNIA, Department of Soil Science, College of Agriculture, Isfahan University of Technology, Isfahan, Iran, EHSAN SHARIFI MOGHADDAM, Department of Watershed Management Engineering, Faculty of Natural Resources, Tarbiat Modares University, Iran, MANOJ SHUKLA, Plant and Environmental Sciences, New Mexico State University, Las Cruces, New Mexico, USA, SHIRAKI SHUTARO, Japan International Research Center for Agricultural Science, Rural Development Division, Tsukuba, Japan, RICARDO SORANDO, Irstea, UE RiverLy, Lyon-Villeurbanne Center, France, AJAYI ASISHANA STANLEY, Ahmadu Bello University Zaria, Nigeria, PETER STRAUSS, Institute for Land and Water Management Research, Federal Agency for Water Management, Austria, ZHONGBO SU, University of Twente, Enschede, the Netherlands, RUHOLLAH TAGHIZADEH-MEHRJARDI, Ardakan University, Ardakan, Yazd Province, Iran, ENCARNACIÓN TAGUAS, University of Córdoba, Spain, WENCESLAU GERALDES TEIXEIRA, CNPS, ALI REZA VAEZI, University of Zanjan, Zanjan, Iran, MEHDI VAFAKHAH, Tarbiat Modares University, Iran, YING ZHAO, Ludong University, China, YIJIAN ZENG, University of Twente, Enschede, the Netherlands, STEFFEN ZACHARIAS, UFZ Helmholtz Centre for Environment Research, Monitoring and Exploration Technologies, Leipzig, Germany, LUBOMÍR LICHNER, Institute of Hydrology, Slovak Academy of Sciences, Bratislava, Slovakia, TOMAS VOGEL, Czech Technical University in Prague, Faculty of Civil Engineering, Czech Republic, IRIS VOGELER, Plant and Food Research, Mount Albert Research Station, Auckland, New Zealand, JANA VOTRUBOVA, Czech Technical University in Prague, Faculty of Civil Engineering, Czech Republic, STEFFEN WERNER, Department of Geography, Ruhr University Bochum, Germany, THIERRY WINARSKI, Univ Lyon, Université Claude Bernard Lyon 1, CNRS, ENTPE, Vaulx-en-Velin, France, Jülich Research Centre, European Commission, Ministerio de Economía y Competitividad (España), Czech Science Foundation, Slovak Research and Development Agency, Rahmati, Mehdi, López Sánchez, María Victoria, Moret-Fernández, David, Centre National de la Recherche Scientifique (CNRS)-Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-École Nationale des Travaux Publics de l'État (ENTPE), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS), PSL Research University (PSL)-PSL Research University (PSL)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS)-Bureau de Recherches Géologiques et Minières (BRGM) (BRGM)-Observatoire des Sciences de l'Univers en région Centre (OSUC), Rahmati, Mehdi [0000-0001-5547-6442], López Sánchez, María Victoria [0000-0003-4113-0381], Moret-Fernández, David [0000-0002-6674-0453], Forschungszentrum Jülich GmbH | Centre de recherche de Juliers, Helmholtz-Gemeinschaft = Helmholtz Association-Helmholtz-Gemeinschaft = Helmholtz Association, Université Claude Bernard Lyon 1 (UCBL), Hellenic Agricultural Organization Demeter (HAO Demeter), Makerere University [Kampala, Ouganda] (MAK), University of Rostock, Plant & Food Research, Centre National de la Recherche Scientifique (CNRS)-Université d'Orléans (UO)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers en région Centre (OSUC), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université d'Orléans (UO)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Bureau de Recherches Géologiques et Minières (BRGM) (BRGM), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Bureau de Recherches Géologiques et Minières (BRGM) (BRGM)-Centre National de la Recherche Scientifique (CNRS)-Université d'Orléans (UO)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers en région Centre (OSUC), Universiteit Gent = Ghent University [Belgium] (UGENT), Virginia Polytechnic Institute and State University [Blacksburg], Beijing Normal University (BNU), Slovak Academy of Sciences (SAS), Université Catholique de Louvain = Catholic University of Louvain (UCL), Aarhus University [Aarhus], Universidad de Málaga [Málaga] = University of Málaga [Málaga], Programa de Engenharia Civil (COC/COPPE-UFRJ), Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia (COPPE-UFRJ), Universidade Federal do Rio de Janeiro (UFRJ)-Universidade Federal do Rio de Janeiro (UFRJ), Ahmadu Bello University, Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research (UFZ), College of Resources and Environmental Engineering [Yantai], Department of Water Resources, UT-I-ITC-WCC, and Faculty of Geo-Information Science and Earth Observation

Subjects
Condutividade Hidráulica, [SDV]Life Sciences [q-bio], 0208 environmental biotechnology, 02 engineering and technology, Silt, computer.software_genre, Soil, RING INFILTROMETERS, 900 Geschichte und Geografie::910 Geografie, Reisen::910 Geografie, Reisen, Hydraulic conductivity, ELECTRICAL-CONDUCTIVITY, Agricultural land, ddc:550, Meteorology & Atmospheric Sciences, SATURATED HYDRAULIC CONDUCTIVITY, Geosciences, Multidisciplinary, database, lcsh:Environmental sciences, 2. Zero hunger, lcsh:GE1-350, Database, IN-SITU, lcsh:QE1-996.5, Geology, 04 agricultural and veterinary sciences, PE&RC, Pedo-transfer functions, 6. Clean water, Infiltration (hydrology), HYDROPHYSICAL PARAMETERS, [SDE]Environmental Sciences, Physical Sciences, INFILTRATION GLOBAL DATABASE, Hidrologia, PHYSICAL-PROPERTIES, SANDY SOIL, TENSION INFILTROMETER, Ecology and Environment, Pedotransfer function, PEDOTRANSFER FUNCTIONS, Life Science, SOIL INFILTRATION MEASUREMENTS, Land surface models, Soil Water Infiltration Global database, ANALYSIS OF THE SOIL WATER, Science & Technology, Land use, Infiltration, 15. Life on land, 020801 environmental engineering, Infiltração, lcsh:Geology, Solo, Infiltration, Land surface models, Land use, Pedo-transfer functions, SWIG, Agriculture and Soil Science, Data quality, ITC-ISI-JOURNAL-ARTICLE, Earth and Environmental Sciences, INFILTROMETER MEASUREMENTS, Soil water, 040103 agronomy & agriculture, 0401 agriculture, forestry, and fisheries, General Earth and Planetary Sciences, Environmental science, Hydrology, ITC-GOLD, computer
Abstract

27 Pags.- 11 Tabls.- 8 Figs. © Author(s) 2018. This work is distributed under the Creative Commons Attribution 4.0 License., 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., First author thanks the International and Scientific Cooperation Office of the University of Maragheh, Iran, as well as the research committee and board members of the university for their assistance in conducting the current work. The financial support received from the Forschungszentrum Jülich GmbH is gratefully acknowledged by the first author. Parts of the database were made available through research work carried out in the framework of LIFE+ projects funded by the EC. The support of the Spanish Ministry of Economy through project CGL2014-53017-C2-1-R is acknowledged. The support of the Czech Science Foundation through project no. 16-05665S is acknowledged. The support of the Slovak Research and Development Agency through project no. APVV-15-0160 is acknowledged.

Published
2018

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