Water

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Browsing Water by Publisher "Cranfield University"

Now showing 1 - 20 of 133
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    A decision support tool for enhanced landfill mining
    (Cranfield University, 2018-05-03 11:13) Coulon, Frederic; Wagland, Stuart; Griffiths, Zoe
    Enhanced Landfill Mining has great potential to reduce the negative effects of landfills on both the environment and human health, to reclaim valuable land and provide a new source of raw materials. However, uncertainties in economic feasibility and environmental and social outcomes act as a bottleneck to its widespread uptake. Here, we present a decision support tool which aims to reduce these uncertainties by assisting site operators in assessing the economic, environmental and social consequences of a proposed project, while also evaluating the best technology train to use and the amount of rare earth elements present. Such a tool is the first of its kind and we propose its use as an initial assessment aid prior to more complex modelling of project feasibility in order to increase the uptake of enhanced landfill mining practices in the field of sustainable waste management.
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    Analysis of scaling relationships for flood parameters and peak discharge estimation in tropical regions data
    (Cranfield University, 2024-02-20 14:36) Grabowski, Robert
    Hydrological data from the La Sierra catchment (Mexico), including input data used in the statistical modelling and output data from the scaling, correlation and regression analyses. Please see the readME file for the list of data and the published paper for more information
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    Aquifer parameters deduced from pumping tests in Kenyan sand dams
    (Cranfield University, 2019-02-26 10:24) Rushton, Ken
    Pumping tests have been used to determine aquifer parameters in three sand dams in Kenya.
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    Assessing environmental drivers of fluoride mobilization in groundwater under increased loading of dissolved organic matter from managed aquifer recharge (MAR) Item
    (Cranfield University, 2022-12-01 15:51) Parker, Alison; Campo Moreno, Pablo; Le Corre Pidou, Kristell
    Geogenic fluoride contamination of groundwater is common in many semi-arid regions, and the impact of managed aquifer recharge (MAR) on increased mobilization of fluoride to the water in these regions is a concern. This work used saturated column experiments to explore the aqueous and mineralogical environmental drivers of fluoride mobilization and how they interact with increased loading of dissolved organic matter (DOM) from infiltrated runoff collected by MAR structures. Groundwater alkalinity was identified as the dominating driver of fluoride mobilization, resulting in increased dissolution of fluorite under all mineral matrix compositions. The influx of a 20 mg/L load of DOM somewhat reduced the mobilization of fluoride from the solid matrix under alkaline conditions, but otherwise did not influence fluorite dissolution compared to unloaded conditions. Environmental drivers were therefore identified as important predictors of fluoride mobilization at groundwater extraction sites, whereas the additional load of DOM to the groundwater resulting from MAR structures does not appear to increase fluoride concentration in the groundwater.
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    Assessment of Traditional Rainwater Harvesting System in Barren Lands of a Semi-Arid Region
    (Cranfield University, 2021-01-05 10:09) Parker, Alison
    Field and modelling data
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    Automated Drinking Water Quality Assessment: New Insights into Flow Cytometry Fluorescent Fingerprinting without Cell Gating
    (Cranfield University, 2024-02-16 09:05) Hassard, Francis; Claveau, Leila; Jeffrey, Paul
    Dataset for peer review paper from EngD EPSRC funded thesis L. Claveau - Chapter 2 and Chapter 3
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    Barriers to meeting circular economy objectives using refill business models: A UK and Vietnamese context.
    (Cranfield University, 2024-05-15 13:06) Cullen, Elizabeth
    "The replacement of single use plastic packaging with reusable containers is increasingly regarded as a potentially viable sustainable business model if brought to scale. We aimed to study barriers to "on the go" refilling as an alternative reuse business model aligned to circular economy objectives in Vietnam and the UK. Eleven key informant interviews captured sector stakeholder views alongside an online survey (n=326). The 11 non-coded interview transcripts and spreadsheet of original survey data gathered using Qualtrics software are contained in the dataset published here. Eight interlinked structural and commercial barriers were identified. Barriers including communication and clarification of the benefits of reuse were higher in Vietnam but more likely to be overcome than a less flexible UK sector with a dominant recycling infrastructure. This research outcome will alert policymakers to the challenges of a business model that is unlikely to grow to scale without bold and urgent policy support and a move away from a focus on bottom-up barriers that can delay consumer transition to a circular economy."
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    Big Data Ecosystems in Re-distributed Manufacturing: Past and Future
    (Cranfield University, 2017-08-23 07:38) Zaki, Mohamed; Neely, Andy; Friedrich Tepel, Matthias; Theodoulidis, Babis; Shapira, Philip
    This is one of five feasibility studies reports produced by the RECODE Network
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    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
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    Body and Sole Shoe Designs
    (Cranfield University, 2016-11-01 15:27) Moreno Beguerisse, MarialeCharnley, FionaPonte, Oscar
    These designs were produced in collaboration between Cisco, Cranfield University and brand consultancy The Clearing. It Builds on research carried out by RECODE-NETWORK identifying and evaluating the opportunities a re-distributed production model offers to disrupt traditional industry models when combined with big data, taking as an exemplar the Footwear Industry.These Designs were produced with SolidWorks Software 2017.
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    Business as Unusual: Designing products with consumers in the loop.
    (Cranfield University, 2017-08-23 07:38) Moreno Beguerisse, Mariale; Makatsoris, Harris; Sheldrick, Leila; Dewberry, Emma; Sinclair, Matt
    This is one of five feasibility studies conducted as part of the recode network
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    Can chemical and molecular biomarkers help discriminating industrial, rural and urban environments?
    (Cranfield University, 2018-02-05 10:48) Coulon, Frederic; Tyrrell, Sean; Garcia Alcega, Sonia
    Underlying data to study the feasibility of differentiate urban, rural and industrial areas between seasons with chemical and molecular markers such as MVOCs and PLFAs
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    Case Study Database
    (Cranfield University, 2017-03-15 09:34) Moreno Beguerisse, Mariale; Charnley, Fiona; Court, Richard; Wright, Matt
    Database of Case Studies Analysed;'Database of Case Studies Analysed'
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    Characterisation of food service establishment wastewater and its implication for treatment
    (Cranfield University, 2019-10-18 09:59) Villa, Raffaella; Jefferson, Bruce; Gurd, Caroline
    Essential for the selection of a reliable treatment system is the characterisation of the effluent to treat. Kitchen wastewater (KWW) from food service establishment (FSE) is a strong organic and fat-rich effluent whose characterisation has not been sufficiently addressed. A comprehensive characterisation of wastewaters from three food service establishments was undertaken to generate data to evaluate appropriate FOG management strategies.
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    Chemical fingerprint database of bioaerosols
    (Cranfield University, 2017-04-21 11:08) Garcia Alcega, Sonia; Coulon, Frederic; Tyrrel, Sean
    The impact of emissions from urban, agricultural and industrial scenarios on local air quality is of growing policy concern. Deleterious health effects can arise following exposure to infective microbes and the exposure risk to bioaerosols are difficult to quantify in real time. Current monitoring methods are labour intensive and a standardised protocol does not exist yet. Additionally, capturing sufficient amounts of material to generate distinguishable and reproducible patterns for bioaerosols identification and classification is still difficult. To overcome the inherent limitations of culturing, chemical fingerprint analysis of microbial biomarkers such as phospholipid fatty acids (PLFAs) and microbial volatile organic compounds (MVOCs) is proposed. Different air samples collection devices are currently being tested (Coriolis, Tenax® cartridges and polycarbonate filters) and each method will be evaluated depending on the complexity of the sampling, laboratory procedure, compounds identified and the limit of detection of the equipment.
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    Circular Innovation and Re-distributed Manufacturing
    (Cranfield University, 2017-08-23 07:38) Moreno Beguerisse, Mariale; Charnley, Fiona; Court, Richard; Wright, Matt; Campbell, Callum
    This is one of five feasibility studies conducted as part of the RECODE Network
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    Coping with drought and water scarcity: lessons for the agricultural sector
    (Cranfield University, 2021-10-15 09:33) Holman, Ian; Knox, Jerry; Hess, Tim; McEwen, Lindsey; Salmoral Portillo, Gloria; Rey Vicario, Dolores; Hannaford, Jamie; Grove, Ivan; Thompson, Jill; Quinn, Nevil
    This report, an output from the UKRI-funded Drought and Water Scarcity Programme, synthesis the insights for the agricultural sector. It considers how drought and water scarcity affect different types of agriculture; whether we can forecast drought and its impacts and how drought and water scarcity impacts on agriculture be reduced?
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    DailyET
    (Cranfield University, 2019-06-04 12:19) Hess, Tim
    A simple on-screen calculator to calculate daily, or monthly reference evapotranspiration from weather data according to the Penman, Modified Penman (FAO24), Penman Monteith (FAO56) or Hargreaves methods.
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    Data "Geophysics data (ERT) for water loss from sand dams"
    (Cranfield University, 2024-10-24) Ritchie, Hannah
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    Data "Process and microbial analysis of AD systems"
    (Cranfield University, 2016-04-19 13:37) Villa, Raffaella; Coulon, Frederic; Ferguson, Robert
    Raw data on fermentation parameters (biogas, methane '%, alkalinity, pH) and PLFA and PLEL analysis are included into the excel spreadsheets: 'First OLR_Fermentation + PLFA and PLEL' and 'Second OLR_Fermentation + PLFA and PLEL'. Fermentation data are related to mesophilic control digesters running at 1.4 kgVS/m3d and upset digesters running at 2.9 and 3.9 kgVS/m3d (medium and high.). The letters: a, b, c, d, e, f, g, h and i represent the triplicates of control and the upset systems where: a, b and c = control reactors; d, e and f = reactors with increased OLR to 2.9 kgVS/m3d (sometimes referred as medium); and g, h, and i = reactors with increased OLR to 3.9 kgVS/m3d (sometimes referred as high) Analysis of the data and graphs included in the paper 'Organic loading rate: a promising microbial management tool in anaerobic digestion' are included in the files 'data for graphs’, the data used can be visualised clicking on the curve of interest. Raw pyrosequencing data is included in the zip files and analysis of the data in the separate file 'pyrosequencing data analysis' Primers design has been included into the 'Primers' file.;Raw data on fermentation parameters (biogas, methane '%, alkalinity, pH) and PLFA and PLEL analysis are included into the excel spreadsheets: 'First OLR_Fermentation + PLFA and PLEL' and 'Second OLR_Fermentation + PLFA and PLEL'. Fermentation data are related to mesophilic control digesters running at 1.4 kgVS/m3d and upset digesters running at 2.9 and 3.9 kgVS/m3d (medium and high.). The letters: a, b, c, d, e, f, g, h and i represent the triplicates of control and the upset systems where: a, b and c = control reactors; d, e and f = reactors with increased OLR to 2.9 kgVS/m3d (sometimes referred as medium); and g, h, and i = reactors with increased OLR to 3.9 kgVS/m3d (sometimes referred as high) Analysis of the data and graphs included in the paper 'Organic loading rate: a promising microbial management tool in anaerobic digestion' are included in the files 'data for graphs’, the data used can be visualised clicking on the curve of interest. Raw pyrosequencing data is included in the zip files and analysis of the data in the separate file 'pyrosequencing data analysis' Primers design has been included into the 'Primers' file.