Produção Nacional
Revisado por pares
Development and analysis of the Soil Water Infiltration Global database
2018; Copernicus Publications; Volume: 10; Issue: 3 Linguagem: Inglês
10.5194/essd-10-1237-2018
ISSN1866-3516
AutoresMehdi Rahmati, Lutz Weihermüller, Jan Vanderborght, Yakov Pachepsky, Lili Mao, Seyed Hamidreza Sadeghi, Niloofar Moosavi, Hossein Kheirfam, Carsten Montzka, Kris Van Looy, Brigitta Tóth, Zeinab Hazbavi, Wafa Al Yamani, Ammar A. Albalasmeh, Ma’in Z. Alghzawi, Rafael Angulo‐Jaramillo, Antônio Celso Dantas Antonino, George Arampatzis, Robson André Armindo, Hossein Asadi, Yazidhi Bamutaze, Jordi Batlle‐Aguilar, Béatrice Bechet, Fabian Becker, Günter Blöschl, Klaus Bohne, Isabelle Braud, Clara Castellano, Artemi Cerdà, Maha Chalhoub, Rogerio Cichota, Milena Cı́slerová, Brent Clothier, Yves Coquet, Wim Cornelis, Corrado Corradini, Artur Paiva Coutinho, Muriel Bastista de Oliveira, José Ronaldo de Macêdo, Matheus Fonseca Durães, Hojat Emami, Iraj Eskandari, Asghar Farajnia, Alessia Flammini, Nándor Fodor, Mamoun A. Gharaibeh, Mohamad Hossein Ghavimipanah, Teamrat A. Ghezzehei, Simone Giertz, Evangelos Hatzigiannakis, Rainer Horn, Juan J. Jiménez, Diederik Jacques, Saskia Keesstra, Hamid Kelishadi, سید حمیدرضا صادقی, Mehdi Kouselou, Madan K. Jha, Laurent Lassabatère, Xiaoyan Li, Mark A. Liebig, Ľubomír Lichner, M.V. López, Deepesh Machiwal, Dirk Mallants, Micael Stolben Mallmann, Jean Dalmo de Oliveira Marques, Miles R. Marshall, Jan Mertens, Félicien Meunier, Mohammad Hossein Mohammadi, Binayak P. Mohanty, Mansonia Pulido‐Moncada, Suzana Maria Gico Lima Montenegro, Renato Morbidelli, David Moret‐Fernández, Ali Akbar Moosavi, Mohammad Reza Mosaddeghi, Seyed Bahman Mousavi, Hasan Mozaffari, Kamal Nabiollahi, Mohammad Reza Neyshabouri, Marta Vasconcelos Ottoni, Theophilo Benedicto Ottoni Filho, Mohammad Reza Pahlavan-Rad, Andreas Panagopoulos, Stephan Peth, Pierre‐Emmanuel Peyneau, Tommaso Picciafuoco, Jean Poesen, Manuel Pulido Fernández, Dalvan José Reinert, Sabine Reinsch, Meisam Rezaei, Francis Parry Roberts, David A. Robinson, Jesús Rodrigo‐Comino, Otto Corrêa Rotunno Filho, Tadaomi Saito, Hideki Suganuma, Carla Saltalippi, Renáta Sándor, Brigitta Schütt, Manuel Seeger, Nasrollah Sepehrnia, E. Sharifi Moghadam, Manoj K. Shukla, Shutaro Shiraki, Ricardo Sorando, Ajayi Asishana Stanley, Peter Strauß, Zhongbo Su, Ruhollah Taghizadeh‐Mehrjardi, E. V. Taguas, Wenceslau Geraldes Teixeira, Ali Reza Vaezi, Mehdi Vafakhah, Tomáš Vogel, Iris Vogeler, Jana Votrubová, Steffen Werner, Thierry Winarski, Deniz Yılmaz, Michael H. Young, Steffen Zacharias, Yijian Zeng, Ying Zhao, Hong Zhao, Harry Vereecken,
Tópico(s)Hydrology and Watershed Management Studies
ResumoAbstract. 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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