122 research outputs found

    Urban water system metabolism assessment using WaterMet2 model

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    12th International Conference on Computing and Control for the Water Industry, CCWI2013, 2013-09-06, 2013-09-09, Perugia, ItalyThis paper presents a new "WaterMet2" model for integrated modelling of an urban water system (UWS). The model is able to quantify the principal water flows and other main fluxes in the UWS. The UWS in WaterMet2 is characterised using four different spatial scales (indoor area, local area, subcatchment and system area) and a daily temporal resolution. The main subsystems in WaterMet2 include water supply, water demand, wastewater and cyclic water recovery. The WaterMet2 is demonstrated here through modelling of the urban water system of Oslo city in Norway. Given a fast population growth, WaterMet2 analyses a range of alternative intervention strategies including 'business as usual', addition of new water resources, increased rehabilitation rates and water demand schemes to improve the performance of the Oslo UWS. The resulting five intervention strategies were compared with respect to some major UWS performance profiles quantified by the WaterMet2 model and expert's opinions. The results demonstrate how an integrated modelling approach can assist planners in defining a better intervention strategy in the future.This work was carried out as part of the ‘TRansition to Urban water Services of Tomorrow’ (TRUST) project. The authors wish to acknowledge the European Commission for funding TRUST project in the 7th Framework Programme under Grant Agreement No. 265122

    Impact of system factors on the water saving efficiency of household grey water recycling

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    Copyright © 2010 Taylor & Francis. This is an Author's Accepted Manuscript of an article published in Desalination and Water Treatment Volume 24, Issue 1-3 (2010), available online at: http://www.tandfonline.com/10.5004/dwt.2010.1542A general concern when considering the implementation of domestic grey water recycling is to understand the impacts of system factors on water saving efficiency. Key factors include household occupancy, storage volumes, treatment capacity and operating mode. Earlier investigations of the impacts of these key factors were based on a one-tank system only. This paper presents the results of an investigation into the effect of these factors on the performance of a more realistic ‘two tank’ system with treatment using an object based household water cycle model. A Monte-Carlo simulation technique was adopted to generate domestic water appliance usage data which allows long-term prediction of the system's performance to be made. Model results reveal the constraints of treatment capacity, storage tank sizes and operating mode on percentage of potable water saved. A treatment capacity threshold has been discovered at which water saving efficiency is maximised for a given pair of grey and treated grey water tank. Results from the analysis suggest that the previous one-tank model significantly underestimates the tank volumes required for a given target water saving efficiency

    The Developing Human Connectome Project: a minimal processing pipeline for neonatal cortical surface reconstruction

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    The Developing Human Connectome Project (dHCP) seeks to create the first 4-dimensional connectome of early life. Understanding this connectome in detail may provide insights into normal as well as abnormal patterns of brain development. Following established best practices adopted by the WU-MINN Human Connectome Project (HCP), and pioneered by FreeSurfer, the project utilises cortical surface-based processing pipelines. In this paper, we propose a fully automated processing pipeline for the structural Magnetic Resonance Imaging (MRI) of the developing neonatal brain. This proposed pipeline consists of a refined framework for cortical and sub-cortical volume segmentation, cortical surface extraction, and cortical surface inflation, which has been specifically designed to address considerable differences between adult and neonatal brains, as imaged using MRI. Using the proposed pipeline our results demonstrate that images collected from 465 subjects ranging from 28 to 45 weeks post-menstrual age (PMA) can be processed fully automatically; generating cortical surface models that are topologically correct, and correspond well with manual evaluations of tissue boundaries in 85% of cases. Results improve on state-of-the-art neonatal tissue segmentation models and significant errors were found in only 2% of cases, where these corresponded to subjects with high motion. Downstream, these surfaces will enhance comparisons of functional and diffusion MRI datasets, supporting the modelling of emerging patterns of brain connectivity

    City Blueprints: Baseline Assessments of Sustainable Water Management in 11 Cities of the Future

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    The necessity of Urban Water Cycle Services (UWCS) adapting to future stresses calls for changes that take sustainability into account. Megatrends (e.g. population growth, water scarcity, pollution and climate change) pose urgent water challenges in cities. In a previous paper, a set of indicators, i.e., the City Blueprint has been developed to assess the sustainability ofUWCS (Van Leeuwen et al.,Wat Resour Manage 26:2177¿2197, 2012). In this paper this approach has been applied in 9 cities and regions in Europe (Amsterdam, Algarve, Athens, Bucharest, Hamburg, Reggio Emilia, Rotterdam, Oslo and Cities of Scotland) and in 2 African cities in Angola (Kilamba Kiaxi) and Tanzania (Dar es Salaam). The assessments showed that cities vary considerably with regard to the sustainability of theUWCS. This is also captured in the Blue City Index (BCI), the arithmetic mean of 24 indicators comprising the City Blueprint (Van Leeuwen et al., Wat Resour Manage 26:2177¿2197, 2012). Theoretically, the BCI has a minimum score of 0 and a maximum score of 10. The actual BCIs in the 11 cities studied varied from 3.31 (Kilamba Kiaxi) to 7.72 (Hamburg). The BCI was positively correlated with the Gross Domestic Product (GDP) per person, the ambitions of the local authorities regarding the sustainability of the UWCS, the voluntary participation index (VPI) and all governance indicators according to the World Bank. The study demonstrated that the variability in sustainability among the UWCS of cities offers great opportunities for short-term and long-term improvements, provided that cities share their best practices.Van Leeuwen, CJ. (2013). City Blueprints: Baseline Assessments of Sustainable Water Management in 11 Cities of the Future. Water resources management. https://doi.org/10.1007/s11269-013-0462-5Bai X (2007) Industrial ecology and the global impacts of cities. J Industr Ecol 11:1–6Brown RR, Keath N, Wong THF (2009) Urban water management in cities: Historical, current and future regimes. Water Sci Technol 59:847–855De Graaf R, van de Giessen N, van de Ven F (2007a) Alternative water management options to reduce vulnerability for climate change in the Netherlands. Nat Hazards 5:407–422De Graaf RE, van de Giessen NC, van de Ven FHM (2007b) The closed city as a strategy to reduce vulnerability of urban areas for climate change. Water Sci Technol 56:165–173EEA (2010) European Environment Agency. The European environment. State and outlook 2010. Synthesis. Copenhagen, DenmarkEEA (2012) European Environment Agency. Urban adaptation to climate change in Europe. Challenges and opportunities for cities together with supportive national and European policies. Synthesis, Copenhagen, DenmarkEFILWC (2006) First European quality of life survey: participation in civil society. European Foundation for the Improvement of Living and Working Conditions, Dublin. http://www.eurofound.europa.eu/publications/htmlfiles/ef0676.htm . Accessed 21 February 2011Engel K, Jokiel D, Kraljevic A, Geiger M, Smith K (2011) Big cities. Big water. Big challenges. Water in an urbanizing world. World wildlife fund, KoberichEnvironmental Performance Index (2010) http://www.epi2010.yale.edu/Metrics/WaterEffectsOnEcosystem . Accessed 30 March 2012European Commission (2012) Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions. A Blueprint to Safeguard Europe’s Water Resources. COM (2012)673 finalEuropean Commission (2013) European Innovation Partnership on water (EIP Water). http://ec.europa.eu/environment/water/innovationpartnership/European green city index (2009) Assessing the environmental impact of Europe’s major cities. A research project conducted by the Economist Intelligence Unit, http://www.siemens.com/press/pool/de/events/corporate/2009-12-Cop15/European_Green_City_Index.pdf . Accessed 20 February 2011Grimm NB, Faeth SH, Golubiewski NE, Redman CL, Wu J, Bai X, Briggs JM (2008) Global change and the ecology of cities. Science 319(5864):756–760Hoekstra AY, Mekonnen MM, Chapagain AK, Mathews RE, Richter BD (2012) Global monthly water scarcity: Blue water footprints versus blue water availability. PLoS ONE 7(2):e32688. doi: 10.1371/journal.pone.0032688IMF (2012) Gross Domestic Product (international dollars) as provided by the International Monetary Fund for 2010–2011: http://en.wikipedia.org/wiki/List_of_countries_by_GDP_(PPP)_per_capita . Accessed October 2012Kaufman D, Kraay A, Mastruzzi M (2010) The worldwide governance indicators. Methodology and analytical issues. World Bank Policy Research Working Paper 5430. World Bank, Washington DCLange P, Driessen PJ, Sauer A, Borneman B, Burger P (2013) Governing towards sustainability – conceptualizing modes of governance. J Environ Policy Planning 15:403–425Makropoulos CK, Butler D (2010) Distributed water infrastructure for sustainable communities. Water Resour Manag 24(11):2795–2816Mekonnen MM, Hoekstra AY (2011) National water footprint accounts: the green, blue and grey water footprint of production and consumption. Volumes 1 and 2. Value of Water Research Report Series No. 50. UNESCO-IHE, Delft, the NetherlandsNorman E, Bakker K, Cook C, Dunn G, Allen D (2010) Water security: A primer. Policy report. Fostering water security in Canada Project www.watergovernance.ca Accessed 20 September 2013Philip R, Anton B, van der Steen P (2011) SWITCH training kit. Integrated urban water management in the city of the future. Module 1. Strategic planning, ICLEI, Freiburg, GermanyPrüss-Üstün A, Bos R, Gore F, Bartram J (2008) Safer water, better health: Costs, benefits and sustainability of interventions to protect and promote health. World Health Organization, GenevaRozos E, Makropoulos C (2013) Source to tap urban water cycle modelling. Environ Model Softw 41:139–150SIWI (2012) Stockholm International Water Institute. Statistics. http://www.siwi.org/sa/node.asp?node=159 Accessed 20 December, 2012Ugarelli R, Pachioli M, Di Federico V (2009) Planning maintenance strategies for Italian urban drainage systems applying CARE-S. In: Allegre H, do Céu Almeida M (eds) Strategic asset management of water supply and wastewater infrastructures. IWA Publishing, London, pp 471–486UN (2012) World urbanization prospects: The 2011 revision. UN, New York, USA. http://esa.un.org/unup/ . Accessed 30 November 2012UNDP (2004) Water governance for poverty reduction. USA, New YorkUNEP (2008) Every drop counts; environmentally sound technologies for urban and domestic water use efficiency. Switzerland, GenevaUNEP (2012) Fifth global environment outlook: Environment for the future we want. Switzerland, GenevaUNESCO (2012) Managing water under uncertainty and risk. Facts and figures from the UN world water development report 4. http://unesdoc.unesco.org/images/0021/002154/215492e.pdf . Accessed 20 December 2012UN-Habitat (2010). Climate change strategy 2010–2013. Urban Environmental Planning Branch, Nairobi, Kenia. http://www.google.nl/search?sourceid=navclient&ie=UTF-8&rlz=1T4MXGB_enNL512NL512&q=Climate+change+strategy+2010-2013 . Accessed 20 December 2012Van Leeuwen CJ (2007) Introduction. In: Van Leeuwen CJ, Vermeire TG (eds) Risk Assessment of Chemicals. An Introduction. 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    The Corinth Rift Laboratory, Greece (CRL): A Multidisciplinary Near Fault Observatory (NFO) on a Fast Rifting System

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    The western rift of Corinth (Greece) is one of the most active tectonic structures of the euro-mediterranean area. Its NS opening rate is 1.5 cm/yr ( strain rate of 10-6/yr) results into a high microseismicity level and a few destructive, M>6 earthquakes per century, activating a system of mostly north dipping normal faults. Since 2001, monitoring arrays of the European Corinth Rift Laboratory (CRL, www.crlab.eu) allowed to better track the mechanical processes at work, with short period and broad band seismometers, cGPS, borehole strainmeters, EM stations, …). The recent (300 kyr) tectonic history has been revealed by onland (uplifted fan deltas and terraces) and offshore geological studies (mapping, shallow seismic, coring), showing a fast evolution of the normal fault system. The microseismicity, dominated by swarms lasting from days to months, mostly clusters in a layer 1 to 3 km thick, between 6 and 9 km in depth, dipping towards north, on which most faults are rooting. The diffusion of the microseismicity suggests its triggering by pore pressure transients, with no or barely detected strain. Despite a large proportion of multiplets, true repeaters seem seldom, suggesting a minor contribution of creep in their triggering, although transient or steady creep is clearly detected on the shallow part of some majors faults. The microseismic layer may thus be an immature, downward growing detachment, and the dominant rifting mechanism might be a mode I, anelastic strain beneath the rift axis , for which a mechanical model is under development. Paleoseismological (trenching, paleoshorelines, turbidites), archeological and historical studies completed the catalogues of instrumental seismicity, motivating attempts of time dependent hazard assessment. The Near Fault Observatory of CRL is thus a multidisciplinary research infrastructure aiming at a better understanding and modeling of multiscale, coupled seismic/aseismic processes on fault systems.Grant for Researchers (CC) ID 188753

    How to use the world's scarce selenium resources efficiently to increase the selenium concentration in food

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    The world's rare selenium resources need to be managed carefully. Selenium is extracted as a by-product of copper mining and there are no deposits that can be mined for selenium alone. Selenium has unique properties as a semi-conductor, making it of special value to industry, but it is also an essential nutrient for humans and animals and may promote plant growth and quality. Selenium deficiency is regarded as a major health problem for 0.5 to 1 billion people worldwide, while an even larger number may consume less selenium than required for optimal protection against cancer, cardiovascular diseases and severe infectious diseases including HIV disease. Efficient recycling of selenium is difficult. Selenium is added in some commercial fertilizers, but only a small proportion is taken up by plants and much of the remainder is lost for future utilization. Large biofortification programmes with selenium added to commercial fertilizers may therefore be a fortification method that is too wasteful to be applied to large areas of our planet. Direct addition of selenium compounds to food (process fortification) can be undertaken by the food industry. If selenomethionine is added directly to food, however, oxidation due to heat processing needs to be avoided. New ways to biofortify food products are needed, and it is generally observed that there is less wastage if selenium is added late in the production chain rather than early. On these bases we have proposed adding selenium-enriched, sprouted cereal grain during food processing as an efficient way to introduce this nutrient into deficient diets. Selenium is a non-renewable resource. There is now an enormous wastage of selenium associated with large-scale mining and industrial processing. We recommend that this must be changed and that much of the selenium that is extracted should be stockpiled for use as a nutrient by future generations

    Iron Behaving Badly: Inappropriate Iron Chelation as a Major Contributor to the Aetiology of Vascular and Other Progressive Inflammatory and Degenerative Diseases

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    The production of peroxide and superoxide is an inevitable consequence of aerobic metabolism, and while these particular "reactive oxygen species" (ROSs) can exhibit a number of biological effects, they are not of themselves excessively reactive and thus they are not especially damaging at physiological concentrations. However, their reactions with poorly liganded iron species can lead to the catalytic production of the very reactive and dangerous hydroxyl radical, which is exceptionally damaging, and a major cause of chronic inflammation. We review the considerable and wide-ranging evidence for the involvement of this combination of (su)peroxide and poorly liganded iron in a large number of physiological and indeed pathological processes and inflammatory disorders, especially those involving the progressive degradation of cellular and organismal performance. These diseases share a great many similarities and thus might be considered to have a common cause (i.e. iron-catalysed free radical and especially hydroxyl radical generation). The studies reviewed include those focused on a series of cardiovascular, metabolic and neurological diseases, where iron can be found at the sites of plaques and lesions, as well as studies showing the significance of iron to aging and longevity. The effective chelation of iron by natural or synthetic ligands is thus of major physiological (and potentially therapeutic) importance. As systems properties, we need to recognise that physiological observables have multiple molecular causes, and studying them in isolation leads to inconsistent patterns of apparent causality when it is the simultaneous combination of multiple factors that is responsible. This explains, for instance, the decidedly mixed effects of antioxidants that have been observed, etc...Comment: 159 pages, including 9 Figs and 2184 reference
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