Water

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Now showing 1 - 20 of 133
  • ItemOpen Access
    Data "Geophysics data (ERT) for water loss from sand dams"
    (Cranfield University, 2024-10-24) Ritchie, Hannah
  • ItemOpen Access
    Dataset "Sapper - MSc Thesis - Survey Data"
    (Cranfield University, 2024-10-02) Jeffrey, Paul; Sule, May; Sapper, Sydney
  • ItemOpen Access
    Dataset "Development and optimisation of rapid analysis of weathered slag using portable XRF - Supplementary information and code"
    (Cranfield University, 2024-08-05) Marsay, Niall; Wagland, ST; Campo Moreno, P; Almar, MC
    pXRF is widely used for rapid measurement of heavy metals in soils, however, thorough evaluation of common pre-processing methods and their effectiveness is limited. This study addresses processing methods using samples collected at a high heterogenetic post-metallurgical site containing,; basic oxygen steelmaking (BOS) slag and soil; the former being an important source of potentially toxic and valuable elements. Impact of pre-treatment processes, including sieving, drying, grinding, sample vessel, and ignition on the accuracy of pXRF measurements of samples were compared against ICP-MS. Of the twelve elements detected, four showed qualitative (Cr and Fe r² ≥0.60, RSD ≤ 30%) or quantitative (Mn and Ca r² ≥0.70, RSD ≤ 20%) measurements for raw samples. This improved to six elements after pre-processing (Sr qualitative, and Pb, Cr, Mn, Ca, Fe quantitative). Sieving and grinding improved precision (average RSD fell by 7.17% and 8.37% respectively), while drying and grinding enhanced accuracy (average r2 increased by 0.03 and 0.10 respectively). This study provides the first evidence that organic matter does not significantly impact pXRF accuracy. The two distinct matrices (BOS slag and soil) on- site resulted in a bimodal concentration distribution and a negative correlation for Ti. Importantly, this research proposes that not all common pre-processing steps are necessary to generate high-quality data, thereby increasing the speed and reducing the cost of data collection. Further analysis is required to develop a methodology to generate high-quality data across all elements of interest with BOS slag, or other relevant high heterogeneity samples. The supplementary information for this study includes : the full unprocessed dataset. all code used to for statistical analysis and graph generation
  • ItemOpen Access
    Dataset for "Characterisation and anaerobic digestion of fat, oil and grease (FOG) waste from wastewater treatment plants"
    (Cranfield University, 2024-08-05) Alibardi, Luca
    Data set for Figure 3 and Figure 4
  • ItemOpen Access
    DATASET "De-icer Mobilisation by Rainfall"
    (Cranfield University, 2024-08-02) Exton, Benjamin; Grabowski, Robert
    HPLC data of propylene glycol in runoff (mobilised de-icer in rainfall)
  • ItemOpen Access
    Data for paper: Charge measurements for optimised NOM characterisation and removal by coagulation
    (Cranfield University, 2024-08-01) Jarvis, Peter
    This study explored the measurement of charge load and zeta potential, in parallel with common water quality parameters, throughout an extensive yearlong sampling campaign.
  • ItemOpen Access
    Water abstraction restrictions and related economic losses in irrigated agriculture in England and Wales
    (Cranfield University, 2019-02-20 14:28) Salmoral Portillo, Gloria; Rey Vicario, Dolores; de Margon, Paul; Holman, Ian
    This data sets includes the inputs and raw outputs from the paper "A probabilistic risk assessment of the national economic impacts of regulatory drought management on irrigated agriculture" available at https://doi.org/10.1029/2018EF001092 The inputs and raw outputs are included as follows: 1) Irrigated crops area used from Rey et al. (2016) http://doi.org/10.1016/j.agwat.2016.04.017 2) Yield and quality losses per grid cell and crop type from Rey et al. (2016) http://dx.doi.org/10.1016/j.agwat.2016.04.017 3) Ratios per type of source of irrigation: surface water, groundwater, tidal water 4) The daily water abstraction restrictions at catchment level for each 100 ensemble member in the baseline (BS), near future (NF) and far future (FF). These files are too large (each file contains 65,016,000 observations) so to open them it will be needed to use a data management software such us R, Matlab, STATA. 5) The monthly economic losses (£) related to the implemented water abstraction restrictions per crop and at catchment level for each 100 ensemble member in the BS, NF and FF.
  • ItemOpen Access
    FloodMEMORY - model simulations
    (Cranfield University, 2017-04-03 14:04) Janes, Victoria
    Outputs from SHETRAN simulations from FloodMEMORY project. See article "Improving bank erosion modelling at catchment scale by incorporating temporal and spatial variability".
  • ItemOpen Access
    relative-abundance_lowest-taxonomic-level
    (Cranfield University, 2023-03-06 09:27) Exton, Ben
    The relative abundance of taxa at the lowest taxonomic level which each OTU could be matched to. Column A: lowest taxonomic level Columns B-J: relative abundances of each sample (date + site) Columns L-R: all taxonomic levels
  • ItemOpen Access
    EST_OperationalData.csv
    (Cranfield University, 2022-10-28 15:45) Brown, Gareth; Jefferson, Bruce; MacAdam, Jitka
    Operational data of pilot plants
  • ItemOpen Access
    EST_HydrolysisCalculation
    (Cranfield University, 2022-10-28 15:47) Brown, Gareth; Jefferson, Bruce; MacAdam, Jitka
    Calculation of kh from sludge data
  • ItemOpen Access
    EST_SludgeData.csv
    (Cranfield University, 2022-10-28 15:46) Brown, Gareth; Jefferson, Bruce; MacAdam, Jitka
    Dataset for the sludge within EST study pilot systems
  • ItemOpen Access
    Bioaugmentation enables enhanced pesticide removal in slow sand filters – impact of dosing on filter microbiome: data
    (Cranfield University, 2024-02-16 09:13) Hassard, Francis
    Dataset relating to the article: Bioaugmentation of pilot-scale slow sand filters can achieve compliant levels for the micropollutant metaldehyde in a real water matrix
  • ItemOpen Access
    Techno-economic analysis of sidestream ammonia removal technologies: Biological options versus thermal stripping
    (Cranfield University, 2022-10-03 11:13) Soares, Ana
    Dataset for Techno-economic analysis of sidestream ammonia removal technologies: Biological options versus thermal stripping
  • ItemOpen Access
    EST_CFD_outputs.csv
    (Cranfield University, 2022-10-28 15:49) Brown, Gareth; Jefferson, Bruce; MacAdam, Jitka
    Outputs of CFD model of EST systems for dead space, HRT and Peclet number
  • ItemOpen Access
    EST_HydrolysisRate_versus_Desludge.csv
    (Cranfield University, 2022-10-28 15:43) Brown, Gareth; Jefferson, Bruce; MacAdam, Jitka
    Data outputs from matlab mass balance model for calculation of hydrolysis rate constant against desludging frequency
  • ItemOpen Access
    Viruses in raw and treated potable waters: prevalence and monitoring methods data
    (Cranfield University, 2024-02-19 10:46) Singh, Suniti; Jarvis, Peter; Jefferson, Bruce; Hassard, Francis
    Data associated with the above named manuscript
  • ItemOpen Access
    FloodMemory - SHETRAN model
    (Cranfield University, 2017-04-03 14:04) Janes, Victoria
    SHETRAN model version 4.4.2. This version of the model includes an updated bank erosion component, developed as part of the FloodMEMORY project. Includes model executable, input files, and updated source code files.See article "Improving bank erosion modelling at catchment scale by incorporating temporal and spatial variability".
  • ItemOpen Access
    Data supporting: 'CO2 absorption into aqueous ammonia using membrane contactors: Role of solvent chemistry and pore size on solids formation for low energy solvent regeneration'
    (Cranfield University, 2022-10-13 16:42) Bavarella, Salvatore; Luqmani, Benjamin A.; Thomas, Navya; Brookes, Adam; Moore, Andrew; Vale, Peter; Pidou, Marc; McAdam, Ewan
    Solids formation can substantially reduce the energy penalty for ammonia solvent regeneration in carbon capture and storage (CCS), but has been demonstrated in the literature to be difficult to control. This study examines the use of hollow fibre membrane contactors, as this indirect contact mediated between liquid and gas phases in this geometry could improve the regulation of solids formation. Adoption of a narrower pore size membrane was shown to dissipate wetting after crystallisation in the solvent, illustrating membrane contactors as a stable platform for the sustained separation of CO2 coupled with its simultaneous transformation into a solid. Through resolving previous challenges experienced with solids formation in multiple reactor configurations, the cost benefit of using ammonia as a solvent can be realised, which is critical to enabling economically viable CCS for the transition to net zero, and can be exploited within hollow fibre membrane contactors, eliciting considerable process intensification over existing reactor designs for CCS.