Digital mapping of the soil available water capacity: tool for the resilience of agricultural systems to climate change

Autor: Gómez, Andrés M.R., de Jong van Lier, Quirijn, Silvero, Nélida E.Q., Inforsato, Leonardo, de Melo, Marina Luciana Abreu, Rodríguez-Albarracín, Heidy S., Rosin, Nícolas Augusto, Rosas, Jorge Tadeu Fim, Rizzo, Rodnei, Demattê, Jose A.M.

Publikováno v: In Science of the Total Environment 15 July 2023 882

Polynomial functions to predict flux-based field capacity from soil hydraulic parameters

Autor: Inforsato, Leonardo, de Jong van Lier, Quirijn

Publikováno v: In Geoderma 15 December 2021 404

Determinação das propriedades hidráulicas do solo pelo método de evaporação monitorada por atenuação de radiação gama

Autor: Inforsato, Leonardo

Modelos matemáticos são comumente utilizados no estudo da dinâmica da água no solo não-saturado. A principal equação para se quantificar esta dinâmica é a equação diferencial de Richards. Sua solução direta é impossível na maioria dos

Externí odkaz: http://www.teses.usp.br/teses/disponiveis/64/64134/tde-12112018-141229/

Digital mapping of the soil available water capacity: insights for the resilience of agricultural systems to climate change

Autor: Gómez, Andrés M R, De Jong Van Lier, Quirijn, Silvero, Nélida E Q, Inforsato, Leonardo, De Melo, Marina Luciana Abreu, Albarracin, Heidy S Rodriguez, Nícolas Augusto Rosin, Tadeu, Jorge, Fim Rosas, Rodnei Rizzo, Alexandre, Jose, Melo Demattê

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::997e291ea1e176137d43ad24b6fa6781

Measuring full-range soil hydraulic properties for the prediction of crop water availability using gamma-ray attenuation and inverse modeling

Autor: Pinheiro, Everton Alves Rodrigues, de Jong van Lier, Quirijn, Inforsato, Leonardo, Šimůnek, Jirka

Publikováno v: Pinheiro, Everton Alves Rodrigues; de Jong van Lier, Quirijn; Inforsato, Leonardo; & Šimůnek, Jirka. (2019). Measuring full-range soil hydraulic properties for the prediction of crop water availability using gamma-ray attenuation and inverse modeling. Agricultural Water Management, 216, 294-305. doi: 10.1016/j.agwat.2019.01.029. UC Riverside: Retrieved from: http://www.escholarship.org/uc/item/2fc777s1

Accurate knowledge of soil hydraulic properties (K-θ-h) for the entire range of crop available water is essential for the prediction of soil water movement and related processes by mechanistic models, including the partitioning of surface energy flu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::421ff08b5c422c4902931978dbb994cf
https://escholarship.org/uc/item/2fc777s1