Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Ana R. Oliveira"'
Autor:
Tiago B. Ramos, Ana R. Oliveira, Hanaa Darouich, Maria C. Gonçalves, Francisco J. Martínez-Moreno, Mario Ramos Rodríguez, Karl Vanderlinden, Mohammad Farzamian
Publikováno v:
Agricultural Water Management, Vol 288, Iss , Pp 108472- (2023)
Knowledge of the soil water balance is fundamental for improving crop water use in agricultural fields. Estimates are normally for representative and homogeneous areas where the variability of soil properties is neglected. However, this variability s
Externí odkaz:
https://doaj.org/article/53980f40f7c14c1b8af798c24eea7844
Autor:
Ya Gao, Chen Sun, Tiago B. Ramos, Junwei Tan, Ana R. Oliveira, Quanzhong Huang, Guanhua Huang, Xu Xu
Publikováno v:
Plants, Vol 13, Iss 2, p 262 (2024)
Identifying important parameters in crop models is critical for model application. This study conducted a sensitivity analysis of 23 selected parameters of the advanced rice model ORYZA-N using the Extended FAST method. The sensitivity analysis was a
Externí odkaz:
https://doaj.org/article/74fb3b55f67141d5a909aac43464c32d
Publikováno v:
Agronomy, Vol 14, Iss 1, p 66 (2023)
The IrrigaSys decision support system (DSS) has supported farmers’ decision-making regarding irrigation scheduling in the Sorraia Valley irrigation district in Southern Portugal over a span of six years (2017–2022). This study aims to conduct a p
Externí odkaz:
https://doaj.org/article/c36184b1ca714cfc938690414fc1f6c9
Autor:
Alexandra Rosa, Cláudio Cardoso, Rui Vieira, Ricardo Faria, Ana R. Oliveira, Gabriel Navarro, Rui M. A. Caldeira
Publikováno v:
Frontiers in Marine Science, Vol 8 (2022)
The Island Mass Effect has been primarily attributed to nutrient enhancement of waters surrounding oceanic islands due to physical processes, whereas the role of land runoff has seldom been considered. Land runoff can be particularly relevant in moun
Externí odkaz:
https://doaj.org/article/bbbbe4ae5d16493abf2493acbfbbb327
Autor:
Francisco Campuzano, Flávio Santos, Lucian Simionesei, Ana R. Oliveira, Estrella Olmedo, Antonio Turiel, Rodrigo Fernandes, David Brito, Marco Alba, Antonio Novellino, Ramiro Neves
Publikováno v:
Journal of Marine Science and Engineering, Vol 10, Iss 7, p 852 (2022)
The coupling of coastal or regional ocean models to hydrological models or observed data is currently an uncommon practice in operational oceanography. Though hydrological models are regarded as a powerful and useful tool for estimating the quantity
Externí odkaz:
https://doaj.org/article/c909717905eb4045963159fecc94fc8a
Publikováno v:
Water, Vol 14, Iss 7, p 1013 (2022)
Hydrological modeling is nowadays critical for evaluating the status, past trends, and future perspectives of water availability at the global, regional, and local scales. The Iberian Peninsula is registering more frequent and severe droughts and wat
Externí odkaz:
https://doaj.org/article/e1a4e4f3e2bc40c08b69e7d236377124
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 25, Iss , Pp - (2019)
Study region: Guadiana international catchment, located in the Iberian Peninsula. Study focus: The Guadiana River catchment has registered an intense and speed up modification of its natural regime over the last few decades to cope with water scarcit
Externí odkaz:
https://doaj.org/article/a16ad49a0f43419fb45a5748a73543a6
Publikováno v:
Agronomy, Vol 11, Iss 6, p 1228 (2021)
The success of an irrigation decision support system (DSS) much depends on the reliability of the information provided to farmers. Remote sensing data can expectably help validate that information at the field scale. In this study, the MOHID-Land mod
Externí odkaz:
https://doaj.org/article/22282ca618f4452a9b483d1772d16c59
Publikováno v:
Water, Vol 12, Iss 11, p 3258 (2020)
Hydrological models are increasingly used for studying watershed behavior and its response to past and future events. The main objective of this study was to conduct a sensitivity analysis of the MOHID-Land model and identify the most relevant parame
Externí odkaz:
https://doaj.org/article/9dbed88f810f4ec5a87e675335f27741
Publikováno v:
Water, Vol 10, Iss 10, p 1367 (2018)
Hydrological modeling at the catchment scale requires the upscaling of many input parameters for better characterizing landscape heterogeneity, including soil, land use and climate variability. In this sense, remote sensing is often considered as a p
Externí odkaz:
https://doaj.org/article/cb53f666ef3e4388b7ae1b6c85edbefb