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Abstract It has lately been suggested that nuclear power technologies could be used to mitigate potential global warming. Doing this would give nuclear power technology a new role, and would lead to its widespread deployment worldwide. When examined carefully several barriers to accomplishing this goal are evident, even should the uncertainties of global warming become reduced enough that it could be treated as an established fact. These barriers involve the need for alternative forms of nuclear energy, uranium resource limitations, technology development requirements and difficulties in widespread deployment of nuclear power plants. Overcoming the barriers may prove to be much more difficult than has been appreciated todate, and could strongly influence the future research and development agenda for nuclear and associated technologies.

Abstract Methane is responsible for 20% of the global warming resulting from greenhouse gas emissions. Municipal solid waste (MSW) landfills are the third largest anthropogenic source of methane and are thus important to estimating the global methane budget and evaluating its contribution to global greenhouse gas emissions. Based on the greenhouse gas inventory guidelines from the Intergovernmental Panel on Climate Change (IPCC) and the first-order decay method used to estimate emissions from MSW landfills – and in line with MSW management in various regions – we calculated methane emissions from MSW landfills in various Chinese provinces from 2003 to 2013. During this period, methane emissions from MSW landfills increased from 1141.10 Gg to 1858.98 Gg, representing a mean annual increase of 71.79 Gg. MSW emissions tended to increase more in the northern and western provinces than in the southern and eastern provinces, as methane emissions strongly and positively correlated with population and socioeconomic demographics. MSW decontamination is growing rapidly in China, and landfills predominate in all MSW treatments; moreover, incineration has also dramatically increased in recent years.

Abstract To assess the electric power grid environment under the high penetration of photovoltaic (PV) generation, it is important to construct an accurate representation of PV power output for any location in the southwestern United States at resolutions down to 10-min time steps. Existing analyses, however, typically depend on sparsely spaced measurements and often include modeled data as a basis for extrapolation. Consequentially, analysts have been confronted with inaccurate analytic outcomes due to both the quality of the modeled data and the approximations introduced when combining data with differing space/time attributes and resolutions. This study proposes an accurate methodology for 10-min PV estimation based on the self-consistent combination of data with disparate spatial and temporal characteristics. Our Type I estimation uses the nearby locations of temporally detailed PV measurements, whereas our Type II estimation goes beyond the spatial range of the measured PV incorporating alternative data set(s) for areas with no PV measurements; those alternative data sets consist of: (1) modeled PV output and secondary cloud cover information around space/time estimation points, and (2) their associated uncertainty. The Type I estimation identifies a spatial range from existing PV sites (30–40 km), which is used to estimate accurately 10-min PV output performance. Beyond that spatial range, the data-quality-control estimation (Type II) demonstrates increasing improvement over the Type I estimation that does not assimilate the uncertainty of data sources. The methodology developed herein can assist the evaluation of the impact of PV generation on the electric power grid, quantify the value of measured data, and optimize the placement of new measurement sites.

Abstract Detailed estimates of carbon dioxide emissions at fine spatial scales are critical to both modelers and decision makers dealing with global warming and climate change. Globally, traffic-related emissions of carbon dioxide are growing rapidly. This paper presents a new method based on a multiple linear regression model to disaggregate traffic-related CO2 emission estimates from the parish-level scale to a 1 × 1 km grid scale. Considering the allocation factors (population density, urban area, income, road density) together, we used a correlation and regression analysis to determine the relationship between these factors and traffic-related CO2 emissions, and developed the best-fit model. The method was applied to downscale the traffic-related CO2 emission values by parish (i.e. county) for the State of Louisiana into 1-km2 grid cells. In the four highest parishes in traffic-related CO2 emissions, the biggest area that has above average CO2 emissions is found in East Baton Rouge, and the smallest area with no CO2 emissions is also in East Baton Rouge, but Orleans has the most CO2 emissions per unit area. The result reveals that high CO2 emissions are concentrated in dense road network of urban areas with high population density and low CO2 emissions are distributed in rural areas with low population density, sparse road network. The proposed method can be used to identify the emission “hot spots” at fine scale and is considered more accurate and less time-consuming than the previous methods.

Abstract Compared to firewood, charcoal is a relatively clean and convenient fuel. Nevertheless, the mass production of charcoal can contribute substantially to deforestation, rendering it imperative to regulate charcoal use. This article uses nationally representative panel data on Tanzania conducted in 2008 and 2010 to examine how charcoal expenditures change over time within any given household. The focus of the analysis will be on identifying certain socio-economic factors that affect charcoal use at the household level. The framing of the analysis on variation in time within each household addresses the omitted variable bias that often undermines inference from comparisons across different households. We find that while charcoal expenditures increase with household income, the rise in charcoal use with income is relatively gradual. Household size is unrelated to charcoal expenditures, but urban–rural differences in fuel choice are large even though we include household fixed effects in all specifications. In this regard, policymakers and urban planners need to pay particular attention to the role of urbanization in predicting trends in charcoal expenditures in developing countries like Tanzania.

Abstract The environmental costs of energy supply have been rising, reinforcing the effect of increased monetary costs in creating incentives for increasing the efficiency with which energy is used. Quantifying these environmental costs is difficult, but it is instructive to try. The estimates presented here for the direct public-health damages of electricity generation with coal and nuclear power show overlapping uncertainties, with no clear basis for preferring either of these energy sources over the other on these grounds. Impacts of energy supply on climate and ecosystems—such as through carbon dioxide accumulation in the atmosphere and acid precipitation—may ultimately do even greater damage to human well-being than the more publicized and more readily quantified air-pollution and accident hazards. Systematic comparison of energy supply with other industrial activities and with agriculture as a cause of regional and global environmental disruptions confirms the widespread impression of energy's key role in large-scale environmental problems.

Abstract An overview is provided of hydrates in nature manuscripts among the 800 papers of the Seventh International Conference on Gas Hydrates (Edinburgh, July 17–22, 2011), to demonstrate the basic chemico-geophysics, as well as a perspective on hydrates as a resource activity by each country. The following summarizes the current status of gas hydrates as a natural resource: (1) there is substantial methane in hydrates, (2) the most accessible hydrates are in sandy sediments, with lithological controls, (3) laboratory characterization tools are available, (4) field detection tools are acceptable, (5) many of the national programs are in the phase of resource identification and characterization, with two exceptions, and (6) the first long-term production tests of methane hydrates will likely start in 2012 in the North Slope permafrost, and offshore Japan.

Abstract Contemporary climate change is altering temperature profiles across the globe. Increasing temperatures can reduce the amount of time during which conditions are suitable for animals to engage in essential activities, such as securing food. Behavioural plasticity, the ability to alter behaviour in response to the environment, may provide animals with a tool to adjust to changes in the availability of suitable thermal conditions. The extent to which individuals can alter fitness‐enhancing behaviours, such as food collection, to proximately buffer variation in temperature, however, remains unclear. Even less well understood are the potential performance advantages of flexible strategies among endotherms. We examined the degree to which individuals altered rates of food collection in response to temperature, and two potential benefits, using the American pika (Ochotona princeps), a temperature‐sensitive, food‐hoarding mammal, as a model. From July–September 2013–2015, we used motion‐activated cameras and in situ temperature loggers to examine pika food‐caching activity for 72 individuals across 10 sites in the central Rocky Mountains, USA. We quantified % nitrogen by cache volume as a metric of cache quality, and the number of events during which pikas were active in temperatures ≥25°C as a measure of potential thermoregulatory stress. We found a strong negative effect of temperature on the rate at which pikas cached food. Individual responses to temperature varied substantially in both the level of food‐collecting activity and in the degree to which individuals shifted activity with warming temperature. After accounting for available foraging time, individuals that exhibited greater plasticity collected a comparable amount of nitrogen, while simultaneously experiencing fewer occasions in which temperatures eclipsed estimated thermal tolerances. By varying food‐collection norms of reaction, individuals were able to plastically respond to temperature‐driven reductions in foraging time. Through this increased flexibility, individuals amassed food caches of comparable quality, while minimizing exposure to potentially stressful thermal conditions. Our results suggest that, given sufficient resource quality and availability, plasticity in foraging activity may help temperature‐limited endotherms adjust to climate‐related constraints on foraging time.

Abstract Flow-through experiments in the laboratory were conducted to monitor the fate of CO2 using stable carbon isotope (δ13C) techniques in dynamic, pre-equilibrium conditions. Such conditions are typical, for instance in carbon capture storage (CCS), in the initial stages of CO2 injection, near injection well regions of the reservoir. For this purpose, a reactive percolation bench (ICARE 4) was used, injecting a CO2-saturated brine at supercritical conditions (pCO2 = 84 bar, T = 60 °C) through quartzitic limestone at an average flow rate of 2 × 10− 9 m3 s− 1. Calcium (Ca2 +) and dissolved inorganic carbon (DIC) concentration data and pH were used to aid analytical interpretations. During CO2 injection, δ13CDIC values decreased from about − 11‰ to those of the injected CO2 (− 29.3‰), indicating CO2 sourced carbon dominance over a carbonate sourced one in the system. Simultaneously DIC and Ca2 + concentrations increased from 1 mmol L− 1 to a maximum of 71 mmol L− 1 and 31 mmol L− 1, respectively. Isotope and mass balances were used to quantify the amount of DIC originating from either the injected CO2 or carbonates. At the end of the experiments, between 70 and 98% of the total DIC originated from CO2 dissolution, the remaining amount is attributed to carbonate dissolution. Furthermore, the total amount of injected CCO2 trapped as DIC ranged between 9 and 17% and between 83 and 91% was in free phase. The state of carbonate equilibrium of the host fluid, under the high pressure–temperature conditions after CO2 injection was identified, verifying pre-equilibrium conditions. Results confirm observations made in reported field data. This emphasises that the combination of CO2 monitoring, the development of a thorough understanding of carbonate equilibrium, as well as the quantification of CO2-trapping, is essential for a solid assessment of reservoir performance and safety considerations during CO2 injection. These are equally important for understanding water–rock–CO2 dynamics in natural subsurface environments.