https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 Toward a reliable decomposition of predictive uncertainty in hydrological modeling: characterizing rainfall errors using conditional simulation https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:15366 Wed 11 Apr 2018 11:37:54 AEST ]]> Bioaccessibility of barium from barite contaminated soils based on gastric phase in vitro data and plant uptake https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:24098 in vitro data for barite contaminated soils using the physiologically based extraction test (PBET) methodology. The existence of barite in plant tissue and the possibility of 'biomineralised' zones was also investigated using Scanning Electron Microscopy. Soils with low barium (Ba) concentrations showed a higher proportion of Ba extractability than barite rich samples. Barium uptake to spinach from soil was different between short term spiking studies and field weathered soils. Furthermore, Ba crystals were not evident in spinach tissue or acid digest solutions grown in barium nitrate spiked soils despite high accumulation. Barite was found in the plant digest solutions from barite contaminated soils only. Results indicate that under the conservative assumptions made, a child would need to consume extreme quantities of soil over an extended period to cause chronic health problems.]]> Wed 10 Nov 2021 15:05:34 AEDT ]]> Role of beryllium in the environment: Insights from specific sorption and precipitation studies under different conditions https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52210 2 (amorphous) from ICP standard solution, but a mixture of Be(OH)2 (alpha), Be(OH)2 (beta) and ternary Na/S-Be (ΙΙ)-OH(s) solid phase were formed from BeSO4 solutions. The precipitation of Be started at relatively lower pH at higher concentrations than at the lower Be concentration as indicated by both laboratory data and simulation. Across the pH range, the Be sorption curve was divided into three phases, these being pH 3-6, pH 6-10, and pH > 10, within which sorption of Be with soil was 9-97%, 90-97%, and 66-90%, respectively. Beryllium solubility was limited at pH > 7, but a sorption study with soil showed chemisorption under both acidic and alkaline pH (pH 5.5 and 8) conditions, which was confirmed by FTIR and XPS analysis. At pH 5.5 (specifically relevant to the study site), sorption of Be was 72-95%, in which 77% and 46% Be was respectively sorbed by separated fulvic and humic acid fractions. The irreversible chemisorption mechanism was controlled by SOM at higher pH, and by metal oxyhydroxides at lower pH. Both organic and inorganic components synergistically influence the specific chemisorption of Be at the intermediate pH 5.5 of field soil.]]> Wed 07 Feb 2024 14:46:21 AEDT ]]> Experimental study on the precipitation of magnesite from thermally activated serpentine for CO₂ sequestration https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:25541 Wed 04 Sep 2019 10:18:36 AEST ]]> Applying rainfall ensembles to explore hydrological uncertainty https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:43459 2) is used to run the simulations. Further, we compared and contrasted the runoff generated at the outlet by grid-wise simulations, basin averaged simulation, and simulations from ensemble rainfall as input with the observed streamflow. The results show that the grid-wise streamflow generation are comparatively better in capturing the peak flow events in the Macleay Basin and sub-basins than the basin-wise streamflow output probably due to the use of the same parameter throughout the simulations, lower averaged streamflow at each sub-basins, and more amount of overall losses at the basin scale. The observed peak flow is within the range of streamflow simulated using ensemble rainfall for all the basins. The application of interest to this study is the use of ensemble precipitation forecasts to generate ensemble streamflow forecasts. This study shows that the rainfall-runoff modelling with ensemble precipitation inputs can considerably reduce the amount of uncertainty in simulation results, particularly in data-spar]]> Tue 20 Sep 2022 08:14:18 AEST ]]> Increasing Australian-Indonesian monsoon rainfall linked to early Holocene sea-level rise https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:6875 Tue 19 May 2020 10:48:38 AEST ]]> Prediction of combined terrestrial evapotranspiration index (Ctei) over large river basin based on machine learning approaches https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:53387 Thu 23 Nov 2023 13:30:04 AEDT ]]> Mapping of three-dimensional residual stresses by neutron diffraction in nickel-based superalloy discs prepared under different quenching conditions https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52646 Thu 19 Oct 2023 15:18:03 AEDT ]]> The newly merged satellite remotely sensed, gauge and reanalysis-based Multi-Source Weighted-Ensemble Precipitation: evaluation over Australia and Africa (1981–2016) https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35116 Thu 11 May 2023 10:20:13 AEST ]]> A 53 year seasonally resolved oxygen and carbon isotope record from a modern Gibraltar speleothem: reconstructed drip water and relationship to local precipitation https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:5010 Sat 24 Mar 2018 07:44:12 AEDT ]]> Late Neogene ice drainage changes in Prydz Bay, East Antarctica and the interaction of Antarctic ice sheet evolution and climate https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:3371 Sat 24 Mar 2018 07:19:01 AEDT ]]> Role of Morphology of Surfactant-Free Nanoparticles in Organic Photovoltaics https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:42346 Mon 22 Aug 2022 13:54:26 AEST ]]> How and to what extent does precipitation on multi-temporal scales and soil moisture at different depths determine carbon flux responses in a water-limited grassland ecosystem? https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:32976 eco), and net ecosystem exchange of CO₂ (NEE). Interestingly, carbon flux showed no relationship with diurnal PRE or phenological-related PRE (precipitation in the growing season and non-growing season). However, carbon flux was significantly related to monthly PRE and to seasonal PRE (spring + summer, autumn). The GPP, Reco, and NEE increased in spring and summer but decreased in autumn with increasing precipitation due to the combined effect of salinization in autumn. The GPP, Reco, and NEE were more responsive to SMC at 0-20 cm depth than at deeper depths due to the shorter roots of herbaceous vegetation. The NEE increased with increasing monthly PRE because soil microbes responded more quickly than plants. The NEE significantly decreased with increasing SMC in shallow surface due to a hysteresis effect on water transport. The results of our study highlight the complex processes that determine how and to what extent PRE at multi-temporal scale and SMC at different depths affect the carbon flux response in a water-limited grassland.]]> Fri 17 Aug 2018 12:20:48 AEST ]]>