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Author Jaireth, S.; Roach, I.C.; Bastrakov, E.; Liu, S. url  openurl
  Title Basin-related uranium mineral systems in Australia: A review of critical features Type Journal Article
  Year 2016 Publication Ore Geology Reviews Abbreviated Journal  
  Volume 76 Issue Pages 360-394  
  Keywords Australia’s uranium deposits, Calcrete-uranium, Sandstone-hosted uranium, Unconformity-related uranium  
  Abstract This paper reviews critical features of basin-related uranium mineral systems in Australia. These mineral systems include Proterozoic unconformity-related uranium systems formed predominantly from diagenetic fluids expelled from sandstones overlying the unconformity, sandstone-hosted uranium systems formed from the influx of oxidised groundwaters through sandstone aquifers, and calcrete uranium systems formed from oxidised groundwaters flowing through palaeochannel aquifers (sand and calcrete). The review uses the so-called ‘source-pathway-trap’ paradigm to summarise critical features of fertile mineral systems. However, the scheme is expanded to include information on the geological setting, age and relative timing of mineralisation, and preservation of mineral systems. The critical features are also summarised in three separate tables. These features can provide the basis to conduct mineral potential and prospectivity analysis in an area. Such analysis requires identification of mappable signatures of above-mentioned critical features in geological, geophysical and geochemical datasets. The review of fertile basin-related systems shows that these systems require the presence of at least four ingredients: a source of leachable uranium (and vanadium and potassium for calcrete-uranium deposits); suitable hydrological architecture enabling connection between the source and the sink (site of accumulation); physical and chemical sinks or traps; and a post-mineralisation setting favourable for preservation. The review also discusses factors that may control the efficiency of mineral systems, assuming that world-class deposits result from more efficient mineral systems. The review presents a brief discussion of factors which may have controlled the formation of large deposits in the Lake Frome region in South Australia, the Chu-Sarysu and Syrdarya Basins in Kazakhstan and calcrete uranium deposits in the Yilgarn region, Western Australia.  
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  ISSN 0169-1368 ISBN Medium  
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  Notes Approved no  
  Call Number (up) THL @ christoph.kuells @ jaireth_basin-related_2016 Serial 139  
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Author Jamali, B.; Bach, P.M.; Deletic, A. url  openurl
  Title Rainwater harvesting for urban flood management – An integrated modelling framework Type Journal Article
  Year 2020 Publication Water Research Abbreviated Journal  
  Volume 171 Issue Pages 115372  
  Keywords Rainwater harvesting tanks, Urban flood simulation, Rapid flood inundation model, Urban flood risk mitigation  
  Abstract It is well known that rainwater harvesting (RWH) can augment water supply and reduce stormwater pollutant discharges. Due to the lack of continuous 2D modelling of urban flood coverage and its associated damage, the ability of RWH to reduce urban flood risks has not been fully evaluated. Literature suggests that small distributed storage spaces using RWH tanks will reduce flood damage only during small to medium flooding events and therefore cumulative assessment of their benefits is needed. In this study we developed a new integrated modelling framework that implements a semi-continuous simulation approach to investigate flood prevention and water supply benefits of RWH tanks. The framework includes a continuous mass balance simulation model that considers antecedent rainfall conditions and water demand/usage of tanks and predicts the available storage prior to each storm event. To do so, this model couples a rainfall-runoff tank storage model with a detailed stochastic end-use water demand model. The available storage capacity of tanks is then used as a boundary condition for the novel rapid flood simulation model. This flood model was developed by coupling the U.S. EPA Storm Water Management Model (SWMM) to the Cellular-Automata Fast Flood Evaluation (CA-ffé) model to predict the inundation depth caused by surcharges over the capacity of the drainage network. The stage-depth damage curves method was used to calculate time series of flood damage, which are then directly used for flood risk and cost-benefit analysis. The model was tested through a case study in Melbourne, using a recorded rainfall time series of 85 years (after validating the flood model against 1D-2D MIKE-FLOOD). Results showed that extensive implementation of RWH tanks in the study area is economically feasible and can reduce expected annual damage in the catchment by up to approximately 30 percent. Availability of storage space and temporal distribution of rainfall within an event were important factors affecting tank performance for flood reduction.  
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  ISSN 0043-1354 ISBN Medium  
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  Notes Approved no  
  Call Number (up) THL @ christoph.kuells @ Jamali2020115372 Serial 239  
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Author Jana, A.; Unni, A.; Ravuru, S.S.; Das, A.; Das, D.; Biswas, S.; Sheshadri, H.; De, S. url  openurl
  Title In-situ polymerization into the basal spacing of LDH for selective and enhanced uranium adsorption: A case study with real life uranium alkaline leach liquor Type Journal Article
  Year 2022 Publication Chemical Engineering Journal Abbreviated Journal  
  Volume 428 Issue Pages 131180  
  Keywords In-situ polymerization, Layered double hydroxide, Leach liquor, Uranium adsorption, Uranium recovery  
  Abstract Uranium is used as a fuel for nuclear power plant and can be extracted from different ores, mainly acidic (silicious ore) and alkaline (carbonate ore). Recovery of uranium through acid leaching from silicious ore is well established, whereas, alkaline leaching from carbonate ore is challenging due to the excessive salinity of leach liquor and high concentration of carbonate, bicarbonate and sulphate. Herein, two monomers, acrylic acid (AA) and N, N-methylene bisacrylamide (BAM), selective towards uranyl were intercalated in-situ into the interlayer, followed by their polymerization and cross-linking to form novel polymer intercalated hybrid layered double hydroxide (LDH). The LDH acts as a backbone to overcome coiling and swelling of polymer and anchors them as free-standing. Various parameters, like, the type of metal ions, monomer ratio (AA: BAM) and metal ion ratio (M2+:M3+), were studied to determine the optimum conditions for effective intercalation and polymerization of monomers. Magnesium aluminum (MgAl) LDH with a cross-linked polymer having a monomer ratio of 3:2 (AA: BAM) as intercalating species showed maximum efficiency of uranyl adsorption (1456 mg/g at 30 °C) with highest capacity so far. The distribution coefficient (Kd, l/mg) in the order of 105 suggested that the adsorbent was highly selective for uranyl in the presence of different cations, anions and humic acid. The adsorbent extracts uranium effectively and selectively from a real-life alkaline leach liquor with an efficiency of 96% at 5 g/l dose. Uranium can be recovered from the adsorbent in the form of sodium di-uranate using 2(M) NaOH and was reused for eight cycles.  
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  ISSN 1385-8947 ISBN Medium  
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  Notes Approved no  
  Call Number (up) THL @ christoph.kuells @ jana_-situ_2022 Serial 209  
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Author Jin, Z.; Külls, C. doi  openurl
  Title FDM based OA-ICOS for high accuracy 13C quantification in gaseous CO2 Type Journal Article
  Year 2020 Publication Earth and Environmental Science Abbreviated Journal EES  
  Volume 446 Issue 3 Pages 032061  
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  Series Editor Series Title IOP Conference Series Abbreviated Series Title  
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  Notes Approved no  
  Call Number (up) THL @ christoph.kuells @ Jin2020fdm Serial 16  
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Author Jing, M.; Kumar, R.; Attinger, S.; Li, Q.; Lu, C.; Heße, F. url  openurl
  Title Assessing the contribution of groundwater to catchment travel time distributions through integrating conceptual flux tracking with explicit Lagrangian particle tracking Type Journal Article
  Year 2021 Publication Advances in Water Resources Abbreviated Journal  
  Volume 149 Issue Pages 103849  
  Keywords Travel time distribution, Flux tracking, Particle tracking, Coupled model, Predictive uncertainty  
  Abstract Travel time distributions (TTDs) provide an effective way to describe the transport and mixing processes of water parcels in a subsurface hydrological system. A major challenge in characterizing catchment TTD is quantifying the travel times in deep groundwater and its contribution to the streamflow TTD. Here, we develop and test a novel modeling framework for an integrated assessment of catchment scale TTDs through explicit representation of 3D-groundwater dynamics. The proposed framework is based on the linkage between a flux tracking scheme with the surface hydrologic model (mHM) for the soil-water compartment and a particle tracking scheme with the 3D-groundwater model OpenGeoSys (OGS) for the groundwater compartment. This linkage provides us with the ability to simulate the spatial and temporal dynamics of TTDs in these different hydrological compartments from grid scale to regional scale. We apply this framework in the Nägelstedt catchment in central Germany. Simulation results reveal that both shape and scale of grid-scale groundwater TTDs are spatially heterogeneous, which are strongly dependent on the topography and aquifer structure. The component-wise analysis of catchment TTD shows a time-dependent sensitivity of transport processes in soil zone and groundwater to driving meteorological forcing. Catchment TTD exhibits a power-law shape and fractal behavior. The predictive uncertainty in catchment mean travel time is dominated by the uncertainty in the deep groundwater rather than that in the soil zone. Catchment mean travel time is severely biased by a marginal error in groundwater characterization. Accordingly, we recommend to use multiple summary statistics to minimize the predictive uncertainty introduced by the tailing behavior of catchment TTD.  
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  ISSN 0309-1708 ISBN Medium  
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  Notes Approved no  
  Call Number (up) THL @ christoph.kuells @ Jing2021103849 Serial 220  
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