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Now showing 1 - 10 of 210
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    Change points of global temperature
    (Bristol : IOP Publ., 2015) Cahill, Niamh; Rahmstorf, Stefan; Parnell, Andrew C.
    We aim to address the question of whether or not there is a significant recent 'hiatus', 'pause' or 'slowdown' of global temperature rise. Using a statistical technique known as change point (CP) analysis we identify the changes in four global temperature records and estimate the rates of temperature rise before and after these changes occur. For each record the results indicate that three CPs are enough to accurately capture the variability in the data with no evidence of any detectable change in the global warming trend since ∼1970. We conclude that the term 'hiatus' or 'pause' cannot be statistically justified.
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    Optically stimulated luminescence dating of young fluvial deposits of the Middle Elbe River Flood Plains using different age models
    (Warsaw : De Gruyter, 2014) Kunz, Alexander; Pflanz, Dorthe; Weniger, Tobias; Urban, Brigitte; Krüger, Frank; Chen, Yue-Gau
    In the last few decades optically stimulated luminescence (OSL) dating has become an im-portant tool in geochronological studies. The great advantage of the method, i.e. dating the deposi-tional age of sediments directly, can be impaired by incomplete bleaching of grains. This can result in a scattered distribution of equivalent doses (DE), leading to incorrect estimation of the depositional age. Thoroughly tested protocols as well as good data analysis with adequate statistical methods are important to overcome this problem. In this study, samples from young fluvial sand and flood plain deposits from the Elbe River in northern Germany were investigated to compare its depositional ages from different age models with well-known historical dates. Coarse grain quartz (100-200 μm and 150-250 μm) and polymineral fine grains (4-11 μm) were dated using the single aliquot regenerative (SAR) dose protocol. The paleodose (DP) was calculated from the DE data set using different ap-proaches. Results were compared with the development of the Elbe River, which is well-documented by historical records and maps covering the last 1,000 years. Depending on the statistical approach it can be demonstrated that depositional ages significantly differ from the most likely depositional age. For the investigated coarse grain quartz samples all ages calculated from the MAM-3UL, including their uncertainties, are within the historical documented age. Results of the polymineral fine grain samples are overestimating the historically documented depositional age, indicating undetectable in-complete bleaching. This study shows the importance of using an adequate statistical approach to cal-culate reliable OSL ages from fluvial sediments. © 2013 Silesian University of Technology, Gliwice, Poland. All rights reserved.
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    Understanding Business Environments and Success Factors for Emerging Bioeconomy Enterprises through a Comprehensive Analytical Framework
    (Basel : MDPI, 2020) Adamseged, Muluken Elias; Grundmann, Philipp
    The development toward the bioeconomy requires, among others, generating and institutionalizing knowledge that contributes to technical and nontechnical inventions and innovations. Efforts to support innovation are often linked with the development of business models that facilitate the development in bioeconomy. However, the interdependences between the business models and their business environments are not sufficiently well understood in a way where misalignments that can obstruct the development can be dealt with adequately. Given this lacuna, this research aims to contribute to the development of a comprehensive analytical framework for better understanding the conditions of business environment as well as empirically apply the framework in an empirical study on cases of bioeconomy enterprises in Europe. In this paper, a comprehensive business environment framework is developed and applied for analyzing over 80 cases, thereby allowing for critical action arenas and crucial success factors to be identified. The findings are derived from a systematic application of the framework to relevant action arenas for business development: institutional development, technology and knowledge, consumers’ agency, market structure, funding, resource and infrastructure, and training and education. The results show that businesses in the bioeconomy, unlike other businesses, have to deal with more and very specific constraining legislative issues, infant and non-adapted technology and knowledge, as well as unclear values and perceptions of consumers. Due to this, businesses have to develop new forms of cooperation with different stakeholders. Successful businesses are characterized by the fact that they develop specific strategies, steering structures, and processes with a particular focus on learning and innovation to overcome misalignments between the business environment and their business models. Focusing efforts on learning and innovation in institutional development, technology and knowledge, consumers’ agency, and funding are especially promising as these turned out to be particularly critical and in particular need of institutional alignment for reducing different kinds of transaction costs in the development of bioeconomy.
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    Analysing Interlinked Frequency Dynamics of the Urban Acoustic Environment
    (Basel : MDPI AG, 2022) Haselhoff, Timo; Braun, Tobias; Hornberg, Jonas; Lawrence, Bryce T.; Ahmed, Salman; Gruehn, Dietwald; Moebus, Susanne
    As sustainable metropolitan regions require more densely built-up areas, a comprehensive understanding of the urban acoustic environment (AE) is needed. However, comprehensive datasets of the urban AE and well-established research methods for the AE are scarce. Datasets of audio recordings tend to be large and require a lot of storage space as well as computationally expensive analyses. Thus, knowledge about the long-term urban AE is limited. In recent years, however, these limitations have been steadily overcome, allowing a more comprehensive analysis of the urban AE. In this respect, the objective of this work is to contribute to a better understanding of the time-frequency domain of the urban AE, analysing automatic audio recordings from nine urban settings over ten months. We compute median power spectra as well as normalised spectrograms for all settings. Additionally, we demonstrate the use of frequency correlation matrices (FCMs) as a novel approach to access large audio datasets. Our results show site-dependent patterns in frequency dynamics. Normalised spectrograms reveal that frequency bins with low power hold relevant information and that the AE changes considerably over a year. We demonstrate that this information can be captured by using FCMs, which also unravel communities of interlinked frequency dynamics for all settings.
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    Corrigendum: The role of storage dynamics in annual wheat prices (2017 Environ. Res. Lett. 12 054005)
    (Bristol : IOP Publ., 2018) Schewe, Jacob; Otto, Christian; Frieler, Katja
    [no abstract available]
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    Investigating African trace gas sources, vertical transport, and oxidation using IAGOS-CARIBIC measurements between Germany and South Africa between 2009 and 2011
    (Oxford [u.a.] : Elsevier, 2017) Thorenz, U.R.; Baker, A.K.; Leedham Elvidge, E.C.; Sauvage, C.; Riede, H.; van Velthoven, P.F.J.; Hermann, M.; Weigelt, A.; Oram, D.E.; Brenninkmeijer, C.A.M.; Zahn, A.; Williams, J.
    Between March 2009 and March 2011 a commercial airliner equipped with a custom built measurement container (IAGOS-CARIBIC observatory) conducted 13 flights between South Africa and Germany at 10–12 km altitude, traversing the African continent north-south. In-situ measurements of trace gases (CO, CH4, H2O) and aerosol particles indicated that strong surface sources (like biomass burning) and rapid vertical transport combine to generate maximum concentrations in the latitudinal range between 10°N and 10°S coincident with the inter-tropical convergence zone (ITCZ). Pressurized air samples collected during these flights were subsequently analyzed for a suite of trace gases including C2-C8 non-methane hydrocarbons (NMHC) and halocarbons. These shorter-lived trace gases, originating from both natural and anthropogenic sources, also showed near equatorial maxima highlighting the effectiveness of convective transport in this region. Two source apportionment methods were used to investigate the specific sources of NMHC: positive matrix factorization (PMF), which is used for the first time for NMHC analysis in the upper troposphere (UT), and enhancement ratios to CO. Using the PMF method three characteristic airmass types were identified based on the different trace gas concentrations they obtained: biomass burning, fossil fuel emissions, and “background” air. The first two sources were defined with reference to previously reported surface source characterizations, while the term “background” was given to air masses in which the concentration ratios approached that of the lifetime ratios. Comparison of enhancement ratios between NMHC and CO for the subset of air samples that had experienced recent contact with the planetary boundary layer (PBL) to literature values showed that the burning of savanna and tropical forest is likely the main source of NMHC in the African upper troposphere (10–12 km). Photochemical aging patterns for the samples with PBL contact revealed that the air had different degradation histories depending on the hemisphere in which they were emitted. In the southern hemisphere (SH) air masses experienced more dilution by clean background air whereas in the northern hemisphere (NH) air masses are less diluted or mixed with background air still containing longer lived NMHC. Using NMHC photochemical clocks ozone production was seen in the BB outflow above Africa in the NH.
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    Improving the Accuracy of Hydrodynamic Simulations in Data Scarce Environments Using Bayesian Model Averaging: A Case Study of the Inner Niger Delta, Mali, West Africa
    (Basel : MDPI, 2019) Haque, Md Mominul; Seidou, Ousmane; Mohammadian, Abdolmajid; Djibo, Abdouramane Gado; Liersch, Stefan; Fournet, Samuel; Karam, Sara; Perera, Edangodage Duminda Pradeep; Kleynhans, Martin
    In this paper, the study area was the Inner Niger Delta (IND) in Mali, West Africa. The IND is threatened by climate change, increasing irrigation, and dam operations. 2D hydrodynamic modelling was used to simulate water levels, discharge, and inundation extent in the IND. Three different digital elevation models (DEM) (SRTM, MERIT, and a DEM derived from satellite images were used as a source of elevation data. Six different models were created, with different sources of elevation data and different downstream boundary conditions. Given that the performance of the models varies according to the location in the IND, the variable under consideration and the performance criteria, Bayesian Model Averaging (BMA) was used to assess the relative performance of each of the six models. The BMA weights, along with deterministic performance measures, such as the Nash Sutcliffe coefficient (NS) and the Pearson’s correlation coefficient (r), provide quantitative evidence as to which model is the best when simulating a particular hydraulic variable at a particular location. After the models were combined with BMA, both discharge and water levels could be simulated with reasonable precision (NS > 0.8). The results of this work can contribute to the more efficient management of water resources in the IND.
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    Corrigendum: Air quality and health implications of 1.5 °C–2 °C climate pathways under considerations of ageing population: a multi-model scenario analysis (2021 Environ. Res. Lett. 16 045005)
    (Bristol : IOP Publ., 2021) Rafaj, Peter; Kiesewetter, Gregor; Krey, Volker; Schoepp, Wolfgang; Bertram, Christoph; Drouet, Laurent; Fricko, Oliver; Fujimori, Shinichiro; Harmsen, Mathijs; Hilaire, Jérôme; Huppmann, Daniel; Klimont, Zbigniew; Kolp, Peter; Aleluia Reis, Lara; van Vuuren, Detlef
    We have identified an error in the text of section 3.3 where the health co-benefits of 1.5 °C + MFR scenario in the whole of Asia are compared to the reference. In the last paragraph of the section 3.3 (page 11), the manuscript states that 'Across the Asia domain, this reduction is approximately 2.5-3 million cases or 40%-51% depending on the IAM used'. Unfortunately, the numbers quoted here were accidentally taken from a sensitivity analysis using different integrated exposure-response curves (GBD-2010, obtained from Global Burden of Disease Collaborative Network 2013), which have not been used in the results shown in the paper-our results are based on the GBD-2013 version, reported by Forouzanfar et al (2015). The correct statement is: 'Across the Asia domain, this reduction is approximately 1.2-1.5 million cases or 33%-42% depending on the IAM used'. The same correction applies to the statement in the Conclusions section 5 (4th paragraph, page 14), which should read: 'The 1.5 °C + MFR scenario decreases premature deaths by 33%-42% across Asia, compared to NPi'.
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    Degradation of glyphosate in water by the application of surface corona discharges
    (Bristol : IWA Publishing, 2021) Zocher, Katja; Gros, Peter; Werneburg, Matthias; Brüser, Volker; Kolb, Juergen F.; Leinweber, Peter
    Glyphosate (GLP) is one of the most widely applied herbicides, and is found ubiquitously in the environment. The removal of glyphosate from waste water and soil is challenging and can be achieved with chemical or biological methods, which, nevertheless, suffer from different disadvantages. The application of a physical plasma for the removal of GLP in water was examined by the application of surface corona discharges in a wire-to-cylinder setup filled with argon. The plasma was ignited at the liquid surface without any additives. By applying a photometric method, GLP was detected after derivatisation with fluorenyl methoxycarbonyl chloride, whereas phosphate was determined with ammonium molybdate. A GLP degradation rate of 90.8% could be achieved within a treatment time of 30 minutes with an estimated energy efficiency of 0.32 g/kWh.
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    Ammonia and greenhouse gas emissions from slurry storage : A review
    (Amsterdam [u.a.] : Elsevier, 2020) Kupper, Thomas; Häni, Christoph; Neftel, Albrecht; Kincaid, Chris; Bühler, Marcel; Amon, Barbara; VanderZaag, Andrew
    Storage of slurry is an important emission source for ammonia (NH3), nitrous oxide (N2O), methane (CH4), carbon dioxide (CO2) and hydrogen sulfide (H2S) from livestock production. Therefore, this study collected published emission data from stored cattle and pig slurry to determine baseline emission values and emission changes due to slurry treatment and coverage of stores. Emission data were collected from 120 papers yielding 711 records of measurements conducted at farm-, pilot- and laboratory-scale. The emission data reported in a multitude of units were standardized and compiled in a database. Descriptive statistics of the data from untreated slurry stored uncovered revealed a large variability in emissions for all gases. To determine baseline emissions, average values based on a weighting of the emission data according to the season and the duration of the emission measurements were constructed using the data from farm-scale and pilot-scale studies. Baseline emissions for cattle and pig slurry stored uncovered were calculated. When possible, it was further distinguished between storage in tanks without slurry treatment and storage in lagoons which implies solid-liquid separation and biological treatment. The baseline emissions on an area or volume basis are: for NH3: 0.12 g m−2 h-1 and 0.15 g m−2 h-1 for cattle and pig slurry stored in lagoons, and 0.08 g m−2 h-1 and 0.24 g m−2 h-1 for cattle and pig slurry stored in tanks; for N2O: 0.0003 g m−2 h-1 for cattle slurry stored in lagoons, and 0.002 g m−2 h-1 for both slurry types stored in tanks; for CH4: 0.95 g m-3 h-1 and 3.5 g m-3 h-1 for cattle and pig slurry stored in lagoons, and 0.58 g m-3 h-1 and 0.68 g m-3 h-1 for cattle and pig slurry stored in tanks; for CO2: 6.6 g m−2 h-1 and 0.3 g m−2 h-1 for cattle and pig slurry stored in lagoons, and 8.0 g m−2 h-1 for both slurry types stored in tanks; for H2S: 0.04 g m−2 h-1 and 0.01 g m−2 h-1 for cattle and pig slurry stored in lagoons. Related to total ammoniacal nitrogen (TAN), baseline emissions for tanks are 16% and 15% of TAN for cattle and pig slurry, respectively. Emissions of N2O and CH4 relative to nitrogen (N) and volatile solids (VS) are 0.13% of N and 0.10% of N and 2.9% of VS and 4.7% of VS for cattle and pig slurry, respectively. Total greenhouse gas emissions from slurry stores are dominated by CH4. The records on slurry treatment using acidification show a reduction of NH3 and CH4 emissions during storage while an increase occurs for N2O and a minor change for CO2 as compared to untreated slurry. Solid-liquid separation causes higher losses for NH3 and a reduction in CH4, N2O and CO2 emissions. Anaerobically digested slurry shows higher emissions during storage for NH3 while losses tend to be lower for CH4 and little changes occur for N2O and CO2 compared to untreated slurry. All cover types are found to be efficient for emission mitigation of NH3 from stores. The N2O emissions increase in many cases due to coverage. Lower CH4 emissions occur for impermeable covers as compared to uncovered slurry storage while for permeable covers the effect is unclear or emissions tend to increase. Limited and inconsistent data regarding emission changes with covering stores are available for CO2 and H2S. The compiled data provide a basis for improving emission inventories and highlight the need for further research to reduce uncertainty and fill data gaps regarding emissions from slurry storage.