https://nova.newcastle.edu.au/vital/access/manager/Index ${session.getAttribute("locale")} 5 Differences in soil organic carbon and soil erosion for native pasture and minimum till agricultural management systems https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:47852 Wed 28 Feb 2024 14:55:59 AEDT ]]> Centennial-scale variability of soil moisture in eastern Australia https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:39900 Wed 28 Feb 2024 14:54:52 AEDT ]]> Soil organic carbon and soil erosion - understanding change at the large catchment scale https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:47716 Wed 25 Jan 2023 12:40:42 AEDT ]]> An in-situ data based model to downscale radiometric satellite soil moisture products in the Upper Hunter Region of NSW, Australia https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:35106 Wed 21 Jun 2023 11:30:04 AEST ]]> Modeling weathering pathways and processes of the fragmentation of salt weathered quartz-chlorite schist https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:4831 Wed 11 Apr 2018 10:57:25 AEST ]]> The impact of shifting Köppen-Geiger climate zones on soil organic carbon concentrations in Australian grasslands https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:38085 Wed 08 Mar 2023 15:12:44 AEDT ]]> Downscaling SMAP and SMOS soil moisture retrievals over the Goulburn River Catchment, Australia https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:33560 Wed 04 Sep 2019 12:18:53 AEST ]]> Disaggregation of SMAP radiometric soil moisture measurements at catchment scale using MODIS land surface temperature data https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:34065 Wed 04 Sep 2019 12:18:45 AEST ]]> Further new interpretations of the corrosion of ferrous metals in soils https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:35572 Wed 04 Sep 2019 10:57:47 AEST ]]> Large catchment-scale spatiotemporal distribution of soil organic carbon https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:48572 Tue 21 Mar 2023 16:20:01 AEDT ]]> Comparing the reliability of two soil moisture probes for high clay content NSW soils https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:52552 Tue 17 Oct 2023 15:26:40 AEDT ]]> Modelling the life-cycle of concrete gravity sewers subject to microbial corrosion https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:32588 Thu 21 Jun 2018 12:49:41 AEST ]]> Findings of a 7 year field study of concrete sewer pipe corrosion https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:32585 Thu 21 Jun 2018 12:49:29 AEST ]]> An assessment of digital elevation models and their ability to capture geomorphic and hydrologic properties at the catchment scale https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:10774 Sat 24 Mar 2018 08:07:05 AEDT ]]> An observation-based model for corrosion of concrete sewers under aggressive conditions https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:20643 Sat 24 Mar 2018 07:55:48 AEDT ]]> Application of RothPC-1 to soil carbon profiles in cracking soils under minimal till cultivation https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:20176 Sat 24 Mar 2018 07:51:44 AEDT ]]> The measurement and modelling of rill erosion at angle of repose slopes in mine spoil https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:4979 Sat 24 Mar 2018 07:46:52 AEDT ]]> Spatio-temporal distribution of near-surface and root zone soil moisture at the catchment scale https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:5258 Sat 24 Mar 2018 07:46:35 AEDT ]]> Soil temperature dynamics at the catchment scale https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:29946 Sat 24 Mar 2018 07:31:00 AEDT ]]> Prediction of vertical soil organic carbon profiles using soil properties and environmental tracer data at an untilled site https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:27735 137Cs and 210Pb were assessed with the aim of better understanding the transport processes which produce the observed vertical distribution of SOC. While no consistent relationship was found between SOC and soil physical properties significant relationships were found between the distribution of SOC and the environmental tracers, 137Cs and 210Pb. Finite element simulations based on a diffusion/convection/decay model showed that the transport of 137Cs and 210Pb down the soil profile is likely to be driven by the same (primarily diffusive) processes. The same model used in conjunction with plant input and decay data generated from the RothC-26.3 soil carbon model revealed that transport of SOC down the soil profile, while also a diffusion process, was significantly slower indicating that different processes and/or pathways are involved in SOC transport at this site.]]> Sat 24 Mar 2018 07:27:46 AEDT ]]> Modelling concrete deterioration in sewers using theory and field observations https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:26446 Sat 24 Mar 2018 07:27:17 AEDT ]]> Soil erosion − The impact of grazing and regrowth trees https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:40599 Mon 08 Aug 2022 15:32:18 AEST ]]> Predicting soil organic carbon movement and concentration using a soil erosion and landscape evolution model https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:38539 -1 yr-1) compare well with independently determined erosion rates using 137Cs (2.1 to 3.4 t ha-1 yr-1). We also investigate field measured and modelled soil organic carbon movement using the LEM in relation to predicted erosion and deposition patterns and find that erosion and deposition patterns are related to the spatial patterns of SOC. This is the first time that a DEM based LEM has been shown to provide reliable prediction of not just soil erosion but also SOC. The results demonstrate that the majority of SOC is being transported in the near surface soil layer (top 2 cm) and that turnover at greater depths is slower and does not correspond with any modelled patterns. The modelled erosion and deposition suggests that on average 0.06 t ha-1 yr-1 of SOC is exported by erosion from the hillslope assuming a good vegetation cover. However if the hillslope is subjected to disturbance (i.e. tillage, overgrazing) then the site will export 0.46 t ha-1 yr-1of SOC. Laboratory results using flume suggest that there was no enrichment of SOC in the eroded sediment. The methods outlined here provide a new approach to quantify the dynamic movement of sediment and SOC at both the hillslope and catchment scale.]]> Fri 29 Oct 2021 14:14:00 AEDT ]]> Hillslope erosion in a grassland environment: calibration and evaluation of the SIBERIA landscape evolution model https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:39223 −1year−1and 4.4 t ha−1year−1, respectively. These were found to closely match erosion rates estimated using the environmental tracer137Cs (2.7–4.8 t ha−1year−1. However, erosion and deposition estimated at individual points along the hillslopewas not well correlated with137Cs at the same position due to the temporal averag-ing of the model and microtopography. Sensitivity analysis showed the model wasmore sensitive to parameterisation than sub-DEM-scale topography. This placesconfidence in the model’s ability to estimate erosion and deposition across an entirehillslope and catchment on decadal time scales. We also highlight the robustnessand flexibility of the calibration methods.]]> Fri 27 May 2022 11:51:25 AEST ]]> Hillslope and point based soil erosion - an evaluation of a landscape evolution model https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:48734 Fri 23 Jun 2023 12:47:54 AEST ]]> Modelling soil organic carbon using vegetation indices across large catchments in eastern Australia https://nova.newcastle.edu.au/vital/access/manager/Repository/uon:47324 500 km2) catchment scales using field-sampled SOC data and remote sensed vegetation indices located in eastern Australia (Krui River catchment - 562 km2; Merriwa River catchment – 808 km2) on grazing land-use basalt soil. The SOC data obtained was compared to digital elevation model (DEM) derived elevation and insolation data, as well as Normalised Difference Vegetation Index (NDVI) and the Enhanced Vegetation Index (EVI) values corresponding to each sample site. These indices were obtained from the MODIS sensor (Terra/Aqua) and Landsat series satellites. Vegetation Indices (VI) captured immediately prior to sampling demonstrated a poor correlation with SOC. The use of multiple, aggregated, prior VI data sets provided a good match with SOC. The strongest match occurred for Landsat 8 EVI, indicating that VIs with higher spatial and spectral resolution, which can account for atmospheric interference, have the potential to produce more accurate SOC mapping (Krui samples in 2006, R2 = 0.31, P < 0.01; Krui sampled in 2014, R2 = 0.41, P < 0.01; Merriwa samples in 2015, R2 = 0.37, P < 0.01). A sensitivity test for both remote sensing platforms demonstrated that the findings were robust. The results demonstrate that VIs are a reliable surrogate for historical vegetation growth in pasture dominated landscapes and therefore soil carbon inputs allowing for mapping of SOC across large catchment scales. Both Landsat and MODIS produced similar results and demonstrate that SOC can be reliably predicted at the large catchment scale and for different catchments in this environment with RMSE range of 0.79 to 1.06. The method and data can be applied globally and provides a new method for environmental assessment.]]> Fri 13 Jan 2023 11:06:39 AEDT ]]>