Development and analysis of the Soil Water Infiltration Global database

• Main Author: RAHMATI, Mehdi
• Publication Date: 2018
• Other Authors: WEIHERMÜLLER, Lutz, VANDERBORGHT, Jan, PACHEPSKY, Yakov A., MAO, Lili, SADEGHI, Seyed Hamidreza, MOOSAVI, Niloofar, KHEIRFAM, Hossein, MONTZKA, Carsten, LOOY, Kris Van, TOTH, Brigitta, ESKANDARI, Iraj, FODOR, Nándor, GHARAIBEH, Mamoun, GHAVIMIPANAH, Mohamad Hossein, GHEZZEHEI, Teamrat A., GIERTZ, Simone, HATZIGIANNAKIS, Evangelos G., HORN, Rainer, JIMÉNEZ, Juan José, MOHANTY, Binayak P., MOHAMMADI, Mohammad Hossein, JACQUES, Diederik, KEESSTRA, Saskia Deborah, KELISHADI, Hamid, KIANI-HARCHEGANI, Mahboobeh, KOUSELOU, Mehdi, JHA, Madan Kumar, LASSABATERE, Laurent, LI, Xiaoyan, LIEBIG, Mark A., LICHNER, Lubomír, MONTENEGRO, Suzana, PULIDO-MONCADA, Mansonia, LÓPEZ, María Victoria, MACHIWAL, Deepesh, MALLANTS, Dirk, MALLMANN, Micael Stolben, MARQUES, Jean Dalmo de Oliveira, MARSHALL, Miles R., MERTENS, Jan, MEUNIER, Félicien, MORBIDELLI, Renato, MORET-FERNÁNDEZ, David, MOOSAVI, Ali Akbar, MOSADDEGHI, Mohammad Reza, MOUSAVI, Seyed Bahman, MOZAFFARI, Hasan, NABIOLLAHI, Kamal, SALTALIPPI, Carla, SUGANUMA, Hideki, NEYSHABOURI, Mohammad Reza, OTTONI, Marta Vasconcelos, OTTONI FILHO, Theophilo Benedicto, PAHLAVAN-RAD, Mohammad Reza, PANAGOPOULOS, Andreas, PETH, Stephan, PEYNEAU, Pierre-Emmanuel, PICCIAFUOCO, Tommaso, POESEN, Jean, PULIDO, Manuel, SCHÜTT, Brigitta, SÁNDOR, Renáta, REINERT, Dalvan José, REINSCH, Sabine, REZAEI, Meisam, ROBERTS, Francis Parry, ROBINSON, David, RODRIGO-COMINO, Jesús, ROTUNNO FILHO, Otto Corrêa, SAITO, Tadaomi, SEEGER, Manuel, SEPEHRNIA, Nasrollah, MOGHADDAM, Ehsan Sharifi, SHUKLA, Manoj, SHUTARO, Shiraki, SORANDO, Ricardo, STANLEY, Ajayi Asishana, HAZBAVI, Zeinab, VEREECKEN, Harry, STRAUSS, Peter, SU, Zhongbo, TAGHIZADEH-MEHRJARDI, Ruhollah, TAGUAS, Encarnación, TEIXEIRA, Wenceslau Geraldes, VAEZI, Ali Reza, VAFAKHAH, Mehdi, VOGEL, Tomas, VOGELER, Iris, VOTRUBOVA, Jana, ALBALASMEH, Ammar A., YAMANI, Wafa Al, WERNER, Steffen, WINARSKI, Thierry, YILMAZ, Deniz, YOUNG, Michael H., ZACHARIAS, Steffen, ZENG, Yijian, ZHAO, Ying, ZHAO, Hong, ALGHZAWI, Ma’in Z., ANGULO-JARAMILLO, Rafael, ANTONINO, Antônio Celso Dantas, ARAMPATZIS, George, ARMINDO, Robson André, ASADI, Hossein, BAMUTAZE, Yazidhi, BATLLE-AGUILAR, Jordi, FARAJNIA, Asghar, BÉCHET, Béatrice, BECKER, Fabian, BLÖSCHL, Günter, BOHNE, Klaus, BRAUD, Isabelle, CASTELLANO, Clara, CERDÀ, Artemi, CHALHOUB, Maha, CICHOTA, Rogerio, CÍSLEROVÁ, Milena, FLAMMINI, Alessia, CLOTHIER, Brent, COQUET, Yves, CORNELIS, Wim, CORRADINI, Corrado, COUTINHO, Artur Paiva, OLIVEIRA, Muriel Bastista de, MACEDO, José Ronaldo de, DURÃES, Matheus Fonseca, EMAMI, Hojat
• Format: Article
• Language: eng
• Source: Repositório Institucional de Geociências - RIGEO
• dARK ID: ark:/79692/0013000009fxr
• Download full: https://rigeo.sgb.gov.br/handle/doc/20526
• topic: INFILTRATION GLOBAL DATABASE; ANALYSIS OF THE SOIL WATER; SOIL INFILTRATION MEASUREMENTS

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.