941 research outputs found

    Quantifying methane and nitrous oxide emissions from the UK and Ireland using a national-scale monitoring network

    Get PDF
    The UK is one of several countries around the world that has enacted legislation to reduce its greenhouse gas emissions. In this study, we present top-down emissions of methane (CH4) and nitrous oxide (N2O) for the UK and Ireland over the period August 2012 to August 2014. These emissions were inferred using measurements from a network of four sites around the two countries. We used a hierarchical Bayesian inverse framework to infer fluxes as well as a set of covariance parameters that describe uncertainties in the system. We inferred average UK total emissions of 2.09 (1.65–2.67) Tg yr−1 CH4 and 0.101 (0.068–0.150) Tg yr−1 N2O and found our derived UK estimates to be generally lower than the a priori emissions, which consisted primarily of anthropogenic sources and with a smaller contribution from natural sources. We used sectoral distributions from the UK National Atmospheric Emissions Inventory (NAEI) to determine whether these discrepancies can be attributed to specific source sectors. Because of the distinct distributions of the two dominant CH4 emissions sectors in the UK, agriculture and waste, we found that the inventory may be overestimated in agricultural CH4 emissions. We found that annual mean N2O emissions were consistent with both the prior and the anthropogenic inventory but we derived a significant seasonal cycle in emissions. This seasonality is likely due to seasonality in fertilizer application and in environmental drivers such as temperature and rainfall, which are not reflected in the annual resolution inventory. Through the hierarchical Bayesian inverse framework, we quantified uncertainty covariance parameters and emphasized their importance for high-resolution emissions estimation. We inferred average model errors of approximately 20 and 0.4 ppb and correlation timescales of 1.0 (0.72–1.43) and 2.6 (1.9–20 3.9) days for CH4 and N2O, respectively. These errors are a combination of transport model errors as well as errors due to unresolved emissions processes in the inventory. We found the largest CH4 errors at the Tacolneston station in eastern England, which may be due to sporadic emissions from landfills and offshore gas in the North Sea

    Risk Factors for Female Perpetrators of Intimate Partner Violence Within Criminal Justice Settings: a Systematic Review

    Get PDF
    There is a lack of understanding of the risk factors for female-perpetrated intimate partner violence (IPV) relative to men’s IPV behaviours. Males can access offence-specific interventions in prison and on probation. However, depending on national criminal justice policies, female IPV perpetrators access general offending behaviour programmes only or offence-specific programmes that have been designed with male perpetrators in mind. The extent to which men’s and women’s treatment needs are similar or different is unclear. The aim of this systematic review was to synthesise what is known about the risk factors for IPV perpetration by women located within criminal justice settings to inform appropriate interventions for this group of offenders. Thirty-one studies met inclusion criteria and no factors meeting our definition of risk factor were identified. However, there were associations between IPV perpetration and experience of child abuse, substance use, borderline personality traits, attachment issues and experiencing trauma. It remains unclear what factors need to be targeted in interventions for female IPV perpetrators, although associations have pointed to possible predisposing factors. In order to improve the evidence base for IPV interventions, researchers need to clearly define the term ‘risk factor’, extending beyond reporting on prevalence only, and to increase understanding of the pathways to IPV perpetration among women

    A five year record of high-frequency in situ measurements of non-methane hydrocarbons at Mace Head, Ireland

    Get PDF
    Continuous high-frequency in situ measurements of a range of non-methane hydrocarbons have been made at Mace Head since January 2005. Mace Head is a background Northern Hemispheric site situated on the eastern edge of the Atlantic. Five year measurements (2005–2009) of six C<sub>2</sub>–C<sub>5</sub> non-methane hydrocarbons have been separated into baseline Northern Hemispheric and European polluted air masses, among other sectors. Seasonal cycles in baseline Northern Hemispheric air masses and European polluted air masses arriving at Mace Head have been studied. Baseline air masses show a broad summer minima between June and September for shorter lived species, longer lived species show summer minima in July/August. All species displayed a winter maxima in February. European air masses showed baseline elevated mole fractions for all non-methane hydrocarbons. Largest elevations (of up to 360 ppt for ethane maxima) from baseline data were observed in winter maxima, with smaller elevations observed during the summer. Analysis of temporal trends using the Mann-Kendall test showed small (<6 % yr<sup>−1</sup>) but statistically significant decreases in the butanes and <i>i</i>-pentane between 2005 and 2009 in European air. No significant trends were found for any species in baseline air

    Behavioral contagion during learning about another agent’s risk-preferences acts on the neural representation of decision-risk

    Get PDF
    Our attitude toward risk plays a crucial role in influencing our everyday decision-making. Despite its importance, little is known about how human risk-preference can be modulated by observing risky behavior in other agents at either the behavioral or the neural level. Using fMRI combined with computational modeling of behavioral data, we show that human risk-preference can be systematically altered by the act of observing and learning from others’ risk-related decisions. The contagion is driven specifically by brain regions involved in the assessment of risk: the behavioral shift is implemented via a neural representation of risk in the caudate nucleus, whereas the representations of other decision-related variables such as expected value are not affected. Furthermore, we uncover neural computations underlying learning about others’ risk-preferences and describe how these signals interact with the neural representation of risk in the caudate. Updating of the belief about others’ preferences is associated with neural activity in the dorsolateral prefrontal cortex (dlPFC). Functional coupling between the dlPFC and the caudate correlates with the degree of susceptibility to the contagion effect, suggesting that a frontal–subcortical loop, the so-called dorsolateral prefrontal–striatal circuit, underlies the modulation of risk-preference. Taken together, these findings provide a mechanistic account for how observation of others’ risky behavior can modulate an individual’s own risk-preference

    Learning to Change

    Get PDF
    A paper published over 20 years ago by Susan Iversen and Mortimer Mishkin on reversal learning continues to inform cognitive neuroscience toda

    Atmospheric bromoform at Mace Head, Ireland: seasonality and evidence for a peatland source

    Get PDF
    In situ atmospheric observations of bromoform (CHBr<sub>3</sub>) made over a 2.5 year period at Mace Head, Ireland from May 2001- Dec 2003, including during the NAMBLEX (North Atlantic Marine Boundary Layer Experiment) campaign, show broad maxima from spring until autumn and winter minima, with mixing ratios of 5.3+1.0 pptv (mid March - mid October) and 1.8+0.8 pptv (December-February). This indicates that, unlike CHCl<sub>3</sub>, which has a summer minimum and winter maximum at Mace Head, local biological sources of CHBr<sub>3</sub> have a greater influence on the atmospheric data than photochemical decay during long-range transport. The emission sources are predominantly macroalgal, but we find evidence for a small terrestrial flux from peatland ecosystems, which so far has not been accounted for in the CHBr<sub>3</sub> budget. Sharp increases in CHCl<sub>3</sub> and CHBr<sub>3</sub> concentrations and decreases in O<sub>3</sub> concentrations occurred at night when the wind direction switched from an ocean- to a land-based sector (land breeze) and the wind speed dropped to below 5 ms<sup>-1</sup>. These observations infer a shallow atmospheric boundary layer with increased O<sub>3</sub> deposition and concentration of local emissions of both CHCl<sub>3</sub> and CHBr<sub>3</sub>. The ratio of &Delta;CHCl<sub>3</sub>/&Delta;CHBr<sub>3</sub> varied strongly according to the prevailing wind direction; from 0.60+0.15 in south-easterly (100-170&deg; and northerly (340-20&deg;) air to 2.5+0.4 in north-easterly (40-70&deg;) air. Of these land-sectors, the south-easterly air masses are likely to be strongly influenced by macroalgal beds along the coast and the emission ratios probably reflect those from seaweeds in addition to land sources. The north-easterly airmasses however had an immediate fetch inland, which locally is comprised of coastal peatland ecosystems (peat bogs and coastal conifer plantations), previously identified as being strong sources of atmospheric CHCl<sub>3</sub> under these conditions. Although we cannot entirely rule out other local land or coastal sources, our observations also suggest peatland ecosystem emissions of CHBr<sub>3</sub>. We use correlations between CHCl<sub>3</sub> and CHBr<sub>3</sub> during the north-easterly land breeze events in conjunction with previous estimates of local wetland CHCl<sub>3</sub> release to tentatively deduce a global wetland CHBr<sub>3</sub> source of 20.4(0.4-948) Gg yr<sup>-1</sup>, which is approximately 7% of the total global source

    Atmospheric bromoform at Mace Head, Ireland: Evidence for a peatland source

    No full text
    International audienceIn situ atmospheric observations of bromoform (CHBr3) made over a 2.5 year period at Mace Head, Ireland from May 2001?December 2003, including during the NAMBLEX (North Atlantic Marine Boundary Layer Experiment) campaign, show broad maxima from spring until autumn and winter minima, with mixing ratios of 5.3+1.0 pptv (mid March?mid October) and 1.8+0.8 pptv (December?February). This indicates that, unlike CHCl3, which has a summer minimum and winter maximum at Mace Head, local biological sources of CHBr3 have a greater influence on the atmospheric data than photochemical decay during long-range transport. The emission sources are predominantly macroalgal, but we find evidence for a small terrestrial flux from peatland ecosystems, which so far has not been accounted for in the CHBr3 budget. Sharp increases in CHCl3 and CHBr3 concentrations and decreases in O3 concentrations occurred at night when the wind direction switched from an ocean- to a land-based sector (land breeze) and the wind speed dropped to below 5 ms?1. These observations infer a shallow atmospheric boundary layer with increased O3 deposition and concentration of local emissions of both CHCl3 and CHBr3. The ratio of ?CHCl3/?CHBr3 varied strongly according to the prevailing wind direction; from 0.6+0.1 in south-easterly (100?170°) air to 1.9+0.8 in north-easterly (40?70°) air. Of these land-sectors, the south-easterly air masses are likely to be strongly influenced by macroalgal beds along the coast and the emission ratios probably reflect those from seaweeds in addition to land sources. The north-easterly airmasses however have a fetch predominantly over land, which locally is comprised of coastal peatland ecosystems (peat bogs and coastal conifer plantations), previously identified as being strong sources of atmospheric CHCl3 under these conditions. Although we cannot entirely rule out other local land or coastal sources, our observations also suggest peatland ecosystem emissions of CHBr3. We use correlations between CHCl3 and CHBr3 during the land breeze events in conjunction with previous estimates of local wetland CHCl3 release to tentatively deduce a global wetland CHBr3 source of 26.9 (0.5?1247) Gg yr?1, which is approximately 10% of the total global source
    corecore