https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40196 Wed 28 Feb 2024 15:21:11 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38151 Wed 16 Feb 2022 14:50:03 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37835 80% of the total inorganic As in pore water and total As concentration declined from 933 μg/L to 177 μg/L with time. AWD irrigation practice with Si fertilization significantly reduced the total As levels in pore water. Arsenic concentration in different rice plant tissues showed significant variations due to water and fertilizer management. Lower concentrations of As in rice grains were observed using AWD (average 93.0 μg/kg) than those observed in CF (average 121 μg/kg) irrigation practice. The addition of Si also significantly (p < 0.03) decreased As uptake by rice plants while adding of P has no significant effect and this is also true for Si and P interaction. AWD irrigation practice with Si fertilization resulted in a reduction of grain As level at around 12%–21%, while grain yield increased by 13%.]]> Wed 12 May 2021 15:22:37 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:11551 Wed 11 Apr 2018 12:18:05 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48743 Wed 06 Mar 2024 14:30:49 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54302 Wed 06 Mar 2024 14:09:54 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44937 Tue 25 Oct 2022 10:36:38 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38834 Tue 15 Feb 2022 12:23:53 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45315 1) and carcinogenic risks (CR > 1.010–4) while AWD lowered health risks compared to CF. Thus, rice farming using AWD irrigation could be a viable and long-term solution for reducing As contamination in rice and associated human health hazards.]]> Thu 27 Oct 2022 13:56:53 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:11493 Thu 20 Oct 2022 13:29:08 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:26493 Thu 20 Oct 2022 09:38:14 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:8927 Sat 24 Mar 2018 08:38:19 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:8930 Sat 24 Mar 2018 08:37:06 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:4948 Sat 24 Mar 2018 07:48:06 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:49251 Mon 08 May 2023 10:42:38 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30716 Fri 22 Apr 2022 10:25:35 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35114 0.5), the SWAT calibrated only to the streamflow did not provide reasonable soil moisture estimation at the HRU scale. Furthermore, the two calibrations showed significantly different catchment water budget estimation over long run. The SWAT calibrated against streamflow showed significantly less soil moisture store (21%) while much higher estimation for evapotranspiration (61%), while the multi-variable calibration model showed higher soil moisture stored (34%) but less evapotranspiration (47%). This different partitioning of the precipitation between soil moisture and streamflow was persistent throughout the seasons and this, in turn, affected the streamflow generation processes. This difference in the model prediction clearly has important implication for water management for the region, highlighting the importance of considering multiple hydrologic variables to improve model parameterization.]]> Fri 21 Jun 2019 10:25:58 AEST ]]>