학술논문

Development and analysis of the Soil Water Infiltration Global database
Document Type
Report
Author abstract
Author
Rahmati, MehdiWeihermuller, LutzVanderborght, JanPachepsky, Yakov A.Mao, LiliSadeghi, Seyed HamidrezaMoosavi, NiloofarKheirfam, HosseinMontzka, CarstenVan Looy, KrisToth, BrigittaHazbavi, ZeinabAl Yamani, WafaAlbalasmeh, Ammar A.Alghzawi, Ma'in Z.Angulo-Jaramillo, RafaelAntonino, Antonio Celso DantasArampatzis, GeorgeArmindo, Robson AndreAsadi, HosseinBamutaze, YazidhiBatlle-Aguilar, JordiBechet, BeatriceBecker, FabianBloschl, GunterBohne, KlausBraud, IsabelleCastellano, ClaraCerda, ArtemiChalhoub, MahaCichota, RogerioCislerova, MilenaClothier, BrentCoquet, YvesCornelis, WimCorradini, CorradoCoutinho, Artur Paivade Oliveira, Muriel Bastistade Macedo, Jose RonaldoDuraes, Matheus FonsecaEmami, HojatEskandari, IrajFarajnia, AsgharFlammini, AlessiaFodor, NandorGharaibeh, MamounGhavimipanah, Mohamad HosseinGhezzehei, Teamrat A.Giertz, SimoneHatzigiannakis, Evangelos G.Horn, RainerJimenez, Juan JoseJacques, DiederikKeesstra, Saskia DeborahKelishadi, HamidKiani-Harchegani, MahboobehKouselou, MehdiKumar Jha, MadanLassabatere, LaurentLi, XiaoyanLiebig, Mark A.Lichner, LubomirLopez, Maria VictoriaMachiwal, DeepeshMallants, DirkMallmann, Micael Stolbende Oliveira Marques, Jean DalmoMarshall, Miles R.Mertens, JanMeunier, FelicienMohammadi, Mohammad HosseinMohanty, Binayak P.Pulido-Moncada, MansoniaMontenegro, SuzanaMorbidelli, RenatoMoret-Fernandez, DavidMoosavi, Ali AkbarMosaddeghi, Mohammad RezaMousavi, Seyed BahmanMozaffari, HasanNabiollahi, KamalNeyshabouri, Mohammad RezaOttoni, Marta VasconcelosOttoni Filho, Theophilo BenedictoPahlavan-Rad, Mohammad RezaPanagopoulos, AndreasPeth, StephanPeyneau, Pierre-EmmanuelPicciafuoco, TommasoPoesen, JeanPulido, ManuelReinert, Dalvan JoseReinsch, SabineRezaei, MeisamRoberts, Francis ParryRobinson, DavidRodrigo-Comino, JesusRotunno Filho, Otto CorreaSaito, TadaomiSuganuma, HidekiSaltalippi, CarlaSandor, RenataSchutt, BrigittaSeeger, ManuelSepehrnia, NasrollahSharifi Moghaddam, EhsanShukla, ManojShutaro, ShirakiSorando, RicardoStanley, Ajayi AsishanaStrauss, PeterSu, ZhongboTaghizadeh-Mehrjardi, RuhollahTaguas, EncarnacionTeixeira, Wenceslau GeraldesVaezi, Ali RezaVafakhah, MehdiVogel, TomasVogeler, IrisVotrubova, JanaWerner, SteffenWinarski, ThierryYilmaz, DenizYoung, Michael H.Zacharias, SteffenZeng, YijianZhao, YingZhao, HongVereecken, Harry
Source
Earth System Science Data. July 10, 2018, Vol. 10 Issue 3, 1237
Subject
Infiltration (Hydrology) -- Analysis
Databases -- Analysis
Soil moisture -- Analysis
Earth sciences
CD-ROM catalog
Database
CD-ROM database
Analysis
Language
English
ISSN
1866-3516
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.
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