Thin versus Thick CO2 Market

The idea that trading is more costly the thinner the market is is common in most studies of market exchange with frictions. Surprisingly, this element is lacking from previous attempts to allow for frictions in pollution permit markets. This paper considers a CO₂ cap-and-trade model where trading costs develop endogenously as a function of the market size. The pre-trade allocation of permits determines whether the market size can be strongly influenced by expectations that have a role because of adjustment costs. The pre-trade allocation also sets preconditions for endogenously vanishing trading costs and thus has nonstandard effects on long-run trading levels and market allocations.     

Evaluating CO2 reduction strategies in the US

We constructed a model to simulate emissions of CO₂ from electricity generation in the US and, using the model, we developed 20-year projections of emissions under various regulatory scenarios.     

大气CO2、CH4、CO高精度观测混合标气配制方法

高精度、高准确度的大气CO2、CH4、CO浓度观测需使用以干洁大气为底气的标气.标气中水汽含量及CO2的δ13C对基于光学原理的观测系统有不可忽视的影响.本研究利用自组装的混合标气配制系统,以环境大气为底气,并通过添加高浓度气体或利用吸附剂吸附,调节目标物种浓度.CO2和CO吸附效率分别达99.7%和99.8%,标气水汽含量小于3.7×10-6(物质的量分数,下同),可配制不同浓度范围的CO2、CH4、CO混合标气.在青海瓦里关全球大气本底站配制环境大气浓度范围的标气,CO2、CH4、CO实际配制浓度同目标浓度的偏差小于10×10-6、30×10-9、30×10-9,CO2中δ13C同实际大气接近.本方法配制的标气已应用于我国本底站大气CO2、CH4、CO高精度观测,符合世界气象组织/全球大气观测(WMO/GAW)质量要求.     

包膜尿素对水田土壤排放NH3、NOx、CO2影响的研究

为了研究包膜尿素对水田土壤排放NH3、NOx和CO2的影响,采用水稻盆栽的方法,探讨了在水稻不同生育期内不同种类包膜尿素对水田土壤排放NH3、NOx和CO2的影响。结果表明,包膜尿素处理对水田土壤排放NH3、NOx和CO2均具有抑制作用,与普通尿素相比,包膜尿素LP40、LPSS、BB、SC60 NH3的挥发总量降低了5.4%~19.3%,NOx的挥发总量降低了8.1%~23.4%,CO2的挥发总量降低了1.6%~13.0%;施用包膜尿素能够抑制水田土壤NH3、NOx和CO2的排放。     

石油厌氧降解促进CO2的CH4转化

CO2是主要的温室气体,利用油藏进行CO2封存,并结合原油厌氧生物降解产生的H2对其进行CH4转化,将提高原油采收率,减少封存CO2长久潜在的危害.本研究以高矿化度的青海油田油井采出液为研究对象,添加碳酸氢盐进行厌氧培养,以研究其中CO2进行CH4转化的可能性.结果显示,厌氧培养体系中检测到CH4产生.且在培养过程中,碳酸氢盐添加体系内CO2相对含量降低,甲烷相对产量升高,沥青质和芳香烃组分的相对含量降低,表明青海油田油藏中存在产甲烷菌及与产甲烷过程相关的菌群,同时CO2封存利于增强原油的流动性、提高采收率.定量PCR分析表明,碳酸氢盐的添加抑制了部分微生物的生长但古菌在整个体系生命活动中的作用并未减弱,且产甲烷古菌占古菌的相对丰度明显升高.因此,在青海油田利用油藏微生物进行CO2封存并产生新甲烷能源,同时提高原油采收率具有可能性.     

地质封存CO_2泄漏对蚯蚓的毒性效应

二氧化碳捕集与封存技术(CO_2 capture and storage, CCS)是当前国际上公认的CO_2减排的有效措施,但封存在地下的CO_2仍然因为各种不稳定因素存在泄漏风险,对土壤环境及土壤生态系统产生威胁。选择赤子爱胜蚓为研究对象,通过模拟高浓度CO_2对蚯蚓形态与生理变化的影响,探究CCS泄漏所产生的土壤高浓度CO_2对蚯蚓的毒性效应。研究表明,土壤高浓度CO_2使蚯蚓出现生殖环带肿大、尾部串珠以及断尾等外部形态变化,皮肤和刚毛受到损伤并且表皮发生褶皱等现象;随着CO_2浓度的增加以及暴露时间的延长,蚯蚓的死亡率不断增加,土壤高浓度CO_2对蚯蚓的7 d和14 d半致死浓度分别为26.39%和17.78%;蚯蚓体腔细胞溶酶体中性红保留时间(NRRT)减少。因此,蚯蚓有望作为监测CO_2泄漏的指示生物,NRRT可作为识别CO_2泄漏的敏感指标。     

Reduction of CO2 emission by optimally tracking a pre-defined target

The recent global financial crisis has highlighted the need for balanced and efficient investments in the reduction of the greenhouse effect caused by emissions of CO₂ on a global scale. In a previous paper, the authors proposed a mathematical model describing the dynamic relation of CO₂ emission with investment in reforestation and clean technology. An efficient allocation of resources to reduce the greenhouse effect has also been proposed. Here, this model is used to provide estimates of the investments needed in land reforestation and in the adoption of clean technologies for an optimum emission and abatement of CO₂, for the period of 1996–2014. The required investments are computed to minimize deviations with respect to the emission targets proposed in the Kyoto Protocol for European Countries. The emission target can be achieved by 2014 with investments in reforestation peaking in 2004, and a reduction of the expected GDP of 42%, relative to 2006. Investments in clean technology should increase between 2008 and 2010 with maximum transfer figures around 70 million American dollars. Total (cumulative) costs are, however, relatively high depending on the price of carbon abatement and the rate at which the expected CO₂ concentration in the atmosphere should be reduced. Results highlight the advantages for policy makers to be able to manage investments in climate policy more efficiently, controlling optimum transfers based on a portfolio of actions that tracks a pre-defined CO₂ concentration target.     

Efficient photoelectrochemical conversion of CO2 to syngas by photocathode engineering

The synthesis of renewable chemical fuels from CO₂ and H₂O via photoelectrochemical(PEC) route reprensents a promising room-temperature approach for transforming greenhouse gas into value-added chemicals(e.g., syngas), but to date it has been hampered by the lack of efficient photocathode for CO₂ reduction. Herein, we report efficient PEC CO₂ reduction into syngas by photocathode engineering. The photocathode is consisting of a planar p-n Si junction f...     

CO2 capture and conversion to value-added products promoted by MXene-based materials

Carbon dioxide(CO₂ ) capture and conversion is the key route for the mitigation of the greenhouse effect and utilization of carbon sources to obtain value-added products or fuels. Much attention is paid to the development of novel materials with high CO₂ adsorption capacity and conversion rate. MXene is the graphene-like two-dimensional metal carbide/nitride/carbonitride owning favorable structure, morphology, high surface-bulk ratio, and physicochemical properties. Here, w...     

Cyclic oligourea synthesized from CO2: Purification,characterization and properties

Carbon dioxide(CO₂) as a sustainable resource instead of toxic reagents has attracted considerable attention in synthesis of chemicals and polymeric materials. Herein, a kind of cyclic oligourea was synthesized via polycondensation of CO₂ with 4,7,10-trioxa-1,13-tridecanediamine(TTD) followed by effective separation and purification processes. We developed an efficient separation strategy in which the linear oligourea molecules were selectively transformed to macromolecular...     

SO2-4/TiO2对SO2-C7H16-TiO2复相光化学反应的影响

研究了TiO2与SO2,C7H16复相光化学反应的光催化活性.在SO2-C7H16-O2-TiO2光催化反应过程中,TiO2表面可形成SO2-4/TiO2结构,它的存在可提高庚烷的光催化氧化速率,利用IR和XPS研究了反应过程中TiO2表面形成的SO2-4/TiO2结构.     

Tuning the catalytic selectivity in electrochemical CO2 reduction on copper oxide-derived nanomaterials

Electrochemical conversion of CO₂ to hydrocarbons can relieve both environmental and energy stresses. However, electrocatalysts for this reaction usually suffer from a poor product selectivity and a large overpotential. Here we report that tunable catalytic selectivity for hydrocarbon formation could be achieved on Cu nanomaterials with different morphologies. By tuning the electrochemical parameters, either Cu oxide nanowires or nanoneedles were fabricated and then electrochemically reduced to the corresponding Cu nanomaterials. The Cu nanowires preferred the formation of C₂H₄, while the Cu nanoneedles favored the production of more CH₄, rather than C₂H₄. Our work provides a facile synthetic strategy for preparing Cu-based nanomaterials to achieve selective CO₂ reduction.     

Dealing with microtopography of an ombrotrophic bog for simulating ecosystem-level CO2 exchanges

Peatlands contain approximately 25% of the global soil carbon (C), despite covering only 3% of the earth's land surface. In order to evaluate the role of peatlands in global C cycling, models of ecosystem biogeochemistry are required, but peatland ecosystems present a number of unique challenges, particularly how to deal with the large variability that occurs at scales of one to several metres. In models, spatial variability is considered either explicitly for each individual unit and the outputs averaged, referred to as flux upscaling, or implicitly by weighting model parameters by the fractional occurrence of the individual units, referred to as parameter upscaling. The advantage of parameter upscaling is that it is much more computationally efficient: a requirement for hemispheric scale simulations. In this study we determined the differences between modelling a raised bog peatland with hummock-hollow microtopography using flux and parameter upscaling. We used the McGill Wetland Model (MWM), a process-based ecosystem C model for peatlands, configured for hummocks and hollows separately and then a weighted mixture of both. The simulated output based on flux and parameter upscaling was compared with eddy-covariance tower measurements. We found that net ecosystem production (NEP) for hollows was much larger than that for hummocks because total ecosystem respiration (TER) for hummocks was greater while gross primary production (GPP) did not differ significantly between the two topographic features. However, despite differences in components of NEP between hummocks and hollows, there was no statistically significant difference between the NEP based on flux and parameter upscaling using the MWM. Both flux and parameter upscaling show equivalent capability to capture the magnitude, direction, seasonality and inter-annual variability. The root-mean-square-errors (RMSE) are 0.66, 0.45, and 0.49 g C m⁻² day⁻¹, respectively for GPP, TER and NEP based on the flux upscaling, while 0.67, 0.44, and 0.48 g C m⁻² day⁻¹, respectively based on the parameter upscaling. The degree of agreement (d*) is 0.96, 0.97, and 0.88, respectively for GPP, TER and NEP based on the flux upscaling, while 0.96, 0.97, and 0.89, respectively based on the parameter upscaling. This result suggests that differences in processes caused by peatland microtopography scale linearly, which means an ecosystem-level model set-up (i.e. parameter upscaling scheme), is sufficient to simulate the C cycling.     

Optimal resource management control for CO2 emission and reduction of the greenhouse effect

In recent years, the world has witnessed an ever-growing concern towards global warming caused by greenhouse gases, such as carbon dioxide (CO₂). In order to reduce the emissions of CO₂ without limiting economic growth, substantial investments should target the development of clean technology and the expansion of forested areas. Considering the limited availability of resources, investments must be used in the most effective way. The present work proposes a method to efficiently manage these resources by applying the optimal control theory to a new mathematical model that describes the dynamics of the atmospheric CO₂. The contributions of this work are twofold: (1) present a model that describes the dynamic relation of CO₂ emission with investment in reforestation and clean technology and (2) present a method to efficiently manage the available resources by casting an optimal control problem. The mathematical model uses ordinary differential equations to relate the production of CO₂ with forest area and Gross Domestic Product (GDP). The model parameters are adjusted to fit the actual published data. Given an appropriate performance index, the optimal solution is found by numerically solving the Two-Point Boundary Value Problem (TPBVP) that arises from the application of Pontriagyn's Maximum Principle. The sensitivity of the obtained numerical solution is evaluated with respect to the uncertainties in the model parameters. The main objective of this work is to provide a quantitative tool for the efficient allocation of resources to reduce the greenhouse effect caused CO₂ emissions.     

Incomplete International Cooperation to Reduce CO2 Emissions: The Case of Price Discrimination

This paper analyzes the effect of introducing a fuel tax in some countries, but not all, when the world fuel market is monopolistic. Based on the observation that price discrimination becomes possible in these circumstances, it is shown that the fuel price in countries not levying the tax may increase, in contrast to common views.     

大气CO2浓度和温度升高对岷江冷杉（Abies faxoniana）幼苗针叶化学特性的影响

以6年生岷江冷杉(Abies faxoniana)幼苗为研究对象,利用控制环境生长室进行了2个生长季的大气CO2浓度倍增和增温(+2.2℃)处理,旨在探讨岷江冷杉幼苗针叶化学特性对CO2浓度倍增和增温的响应.结果表明:大气CO2浓度倍增对岷江冷杉幼苗针叶的叶绿素含量无显著影响,但降低了针叶N、P和纤维素含量,并增加了针叶可溶性糖和淀粉含量.增温显著降低了1年生针叶的叶绿素b含量,同时降低了当年生和1年生针叶的N、P和纤维素含量;显著提高了针叶的可溶性糖和淀粉含量.CO2浓度倍增和增温同时作用显著增加了针叶叶绿素含量,但降低了针叶N、P和纤维素含量,而对针叶可溶性糖和淀粉含量无显著影响.大气CO2浓度倍增和增温对针叶的叶绿素、N和碳水化合物含量有显著的交互作用.在大气CO2浓度倍增和增温条件下,岷江冷杉针叶化学性质将发生改变,可能影响针叶的生物化学过程和凋落物分解.     

桂林岩溶表层带土壤CO2体积分数时空变化规律及其意义

通过2010—2011年的监测建立了桂林盘龙洞坡地和洼地不同深度土壤CO2体积分数的季节性变化。监测土壤CO2体积分数空间上变化为:坡地80 cm>50 cm>30 cm;洼地80 cm>100 cm>50 cm>30 cm。监测土壤CO2体积分数时间上变化为2010年7月和2011年6月未CO2体积分数达到最高值,2010到2011年冬季为土壤CO2达到最低值。由于受到大气降水量急剧减少的影响2011年土壤CO2体积分数整体比2010年低。显示大气降水量也是影响土壤CO2体积分数的重要环境因素。为我国固碳减排科学的选择时间和空间提供有力的依据。     

Multiple sources of predictive uncertainty in modeled estimates of net ecosystem CO2 exchange

Net ecosystem CO₂ exchange (NEE) is typically measured directly by eddy covariance towers or is estimated by ecosystem process models, yet comparisons between the data obtained by these two methods can show poor correspondence. There are three potential explanations for this discrepancy. First, estimates of NEE as measured by the eddy-covariance technique are laden with uncertainty and can potentially provide a poor baseline for models to be tested against. Second, there could be fundamental problems in model structure that prevent an accurate simulation of NEE. Third, ecosystem process models are dependent on ecophysiological parameter sets derived from field measurements in which a single parameter for a given species can vary considerably. The latter problem suggests that with such broad variation among multiple inputs, any ecosystem modeling scheme must account for the possibility that many combinations of apparently feasible parameter values might not allow the model to emulate the observed NEE dynamics of a terrestrial ecosystem, as well as the possibility that there may be many parameter sets within a particular model structure that can successfully reproduce the observed data. We examined the extent to which these three issues influence estimates of NEE in a widely used ecosystem process model, Biome-BGC, by adapting the generalized likelihood uncertainty estimation (GLUE) methodology. This procedure involved 400,000 model runs, each with randomly generated parameter values from a uniform distribution based on published parameter ranges, resulting in estimates of NEE that were compared to daily NEE data from young and mature Ponderosa pine stands at Metolius, Oregon. Of the 400,000 simulations run with different parameter sets for each age class (800,000 total), over 99% of the simulations underestimated the magnitude of net ecosystem CO₂ exchange, with only 4.07% and 0.045% of all simulations providing satisfactory simulations of the field data for the young and mature stands, even when uncertainties in eddy-covariance measurements are accounted for. Results indicate fundamental shortcomings in the ability of this model to produce realistic carbon flux data over the course of forest development, and we suspect that much of the mismatch derives from an inability to realistically model ecosystem respiration. However, difficulties in estimating historic climate data are also a cause for model-data mismatch, particularly in a highly ecotonal region such as central Oregon. This latter difficulty may be less prevalent in other ecosystems, but it nonetheless highlights a challenge in trying to develop a dynamic representation of the terrestrial biosphere.