Analysis of gene variants in the GASH/Sal model of epilepsy.
PLoS ONE, 2020 Epilepsy is a complex neurological disorder characterized by sudden and recurrent seizures, which are caused by various factors, including genetic abnormalities. Several animal models of epilepsy mimic the different symptoms of this disorder.
Elena Díaz-Casado +5 more
doaj +7 more sources
Simulation of Gash Model to Rainfall Interception of Pinus tabulaeformis [PDF]
Forest Systems, 2014 Aim of study: In order to test the adaptability of revised Gash analytical model to canopy interception of Pinus tabulaeformis plantation, determine local parameters in the model, and analyze the sensitivity of the parameters to the simulated ...
Wenjun Liang
doaj +5 more sources
Quantitative accuracy assessment of the revised sparse Gash model using distinct time-step climatic parameters [PDF]
Hydrology Research, 2021 Rainfall interception (I) can considerably influence the transport process of water. The revised sparse Gash model (RSGM) is a tool for determining the I, which assumes that the two climate parameters in the model are equal for all storms.
Yiran Li, Chuanjie Zhang, Yong Niu
doaj +4 more sources
Correction: Analysis of gene variants in the GASH/Sal model of epilepsy.
PLoS ONE, 2020 [This corrects the article DOI: 10.1371/journal.pone.0229953.].
Elena Díaz-Casado +5 more
doaj +4 more sources
Modelling of rainfall partitioning by a deciduous shrub using a variable parameters
Ecohydrology, 2018 AbstractAlpine deciduous shrubs play an important role in local water cycle for ecosystems of Qinghai‐Tibet Plateau, but rainfall partitioning of the deciduous shrubs has not been fully understood due to significant variation in spatial coverage and leaf storage capacity, especially the lack of appropriate model to describe relevant processes.
Si‐Yi Zhang +4 more
core +3 more sources
Modelling canopy and litter interception in commercial forest plantations in South Africa using the Variable Storage Gash model and idealised drying curves [PDF]
Hydrology and Earth System Sciences, 2012 There remains a gap in the knowledge of both canopy and litter interception processes in forest hydrology and limitations in the models used to represent them.
H. H. Bulcock, G. P. W. Jewitt
doaj +4 more sources
Interception losses from Miscanthus at a site in south‐east England—an application of the Gash model
Hydrological Processes, 2010 AbstractConcern has been expressed that Miscanthus x giganteus, a dedicated biomass crop, may have a high water use, with implications for its economic yield and impacts on water resources. There is particular uncertainty about one component of the water use, the interception loss.
Finch, J. W., Riche, A. B.
openaire +3 more sources
Spatiotemporal Variations in Vegetation Canopy Interception in China Based on a Revised Gash Model
Forests, 2022 Vegetation canopy interception (Ic) of precipitation is a considerable component of the global hydrological cycles. Although the measurement and modeling of canopy interception have been explored worldwide at the individual, stand or ecosystem scale, it is still unclear how to recognize this process at the regional or global scales within the context ...
Zhi-Yun Jiang, Si-Yi Zhang, Guo-Long Hou
exaly +2 more sources
Trees, Forests and People, 2020 A rainfall interception experiment was completed for Pinus sylvestris var. mongolica plots with stand densities ranging from 925 to 2700 plants ha−1 in Mu Us Sandy Land, China from June to September 2013.
Jifeng Deng
doaj +3 more sources
Event-Based Rainfall Interception Modeling in a Cerrado Riparian Forest—Central Brazil: An Alternative Approach to the IS Method for Parameterization of the Gash Model [PDF]
Water (Switzerland), 2020 Although being the second largest biome in South America, the Cerrado biome is understudied in terms of hydrological modeling of the interception processes of its different vegetation types. To better understand its net precipitation components, high-temporal-resolution throughfall data were used to parameterize the Gash Analytical Model on a per storm
Sergio Koide
exaly +2 more sources