Modelling forest management within a global vegetation model—Part 2: Model validation from a tree to a continental scale

The construction of a new forest management module (FMM) within the ORCHIDEE global vegetation model (GVM) allows a realistic simulation of biomass changes during the life cycle of a forest, which makes many biomass datasets suitable as validation data for the coupled ORCHIDEE-FM GVM. This study uses three datasets to validate ORCHIDEE-FM at different temporal and spatial scales: permanent monitoring plots, yield tables, and the French national inventory data. The last dataset has sufficient geospatial coverage to allow a novel type of validation: inventory plots can be used to produce continuous maps that can be compared to continuous simulations for regional trends in standing volumes and volume increments. ORCHIDEE-FM performs better than simple statistical models for stand-level variables, which include tree density, basal area, standing volume, average circumference and height, when management intensity and initial conditions are known: model efficiency is improved by an average of 0.11, and its average bias does not exceed 25%. The performance of the model is less satisfying for tree-level variables, including extreme circumferences, tree circumference distribution and competition indices, or when management and initial conditions are unknown. At the regional level, when climate forcing is accurate for precipitation, ORCHIDEE-FM is able to reproduce most productivity patterns in France, such as the local lows of needleleaves in the Parisian basin and of broadleaves in south-central France. The simulation of water stress effects on biomass in the Mediterranean region, however, remains problematic, as does the simulation of the wood increment for coniferous trees. These pitfalls pertain to the general ORCHIDEE model rather than to the FMM. Overall, with an average bias seldom exceeding 40%, the performance of ORCHIDEE-FM is deemed reliable to use it as a new modelling tool in the study of the effects of interactions between forest management and climate on biomass stocks of forests across a range of scales from plot to country.     

CO2 capture and storage from a bioethanol plant: Carbon and energy footprint and economic assessment

Biomass energy and carbon capture and storage (BECCS) can lead to a net removal of atmospheric CO₂. This paper investigates environmental and economic performances of CCS retrofit applied to two mid-sized refineries producing ethanol from sugar beets. Located in the Region Centre France, each refinery has two major CO₂ sources: fermentation and cogeneration units. “carbon and energy footprint” (CEF) and “discounted cash flow” (DCF) analyses show that such a project could be a good opportunity for CCS early deployment. CCS retrofit on fermentation only with natural gas fired cogeneration improves CEF of ethanol production and consumption by 60% without increasing much the non renewable energy consumption. CCS retrofit on fermentation and natural gas fired cogeneration is even more appealing by decreasing of 115% CO₂ emissions, while increasing non renewable energy consumption by 40%. DCF shows that significant project rates of return can be achieved for such small sources if both a stringent carbon policy and direct subsidies corresponding to 25% of necessary investment are assumed. We also underlined that transport and storage cost dilution can be realistically achieved by clustering emissions from various plants located in the same area. On a single plant basis, increasing ethanol production can also produce strong economies of scale.     

Performance of amine-multilayered solid sorbents for CO2 removal: Effect of fabrication variables

The emission of fossil fuel carbon dioxide (CO₂) to the atmosphere is implicated as the predominant cause of global climate change; therefore, advanced CO₂ capture technologies are of the utmost importance. In this study, innovative amine-multilayered sorbents were fabricated using layer-by-layer (LbL) nanoassembly technology via alternate deposition of a CO₂-adsorbing amine polymer (e.g. polyethylenimine or PEI) and an oppositely-charged polymer (e.g. polystyrene sulfonate or PSS). We found that the developed sorbents could be used for CO₂ capture and that LbL nanoassembly allows us to engineer their CO₂ capture performance through the fabrication variables (e.g. deposition polymers, deposition media, and number of bilayers). PEI/PSS was found to be the best polymer combination for developing sorbents with relatively high CO₂ capture capacity. The amine-multilayered solid sorbents possessed fine microstructures and may have similar polymer deposition within and on the surface of solid sorbents. These amine-multilayered sorbents had much faster CO₂ desorption rates compared to sorbents prepared using the current PEI-impregnation approach. Such fast CO₂ desorption could make sorbents a good option for CO₂ removal from power plants and even the atmosphere.     

基于信息熵的垫片密封模糊可靠度

在充分考虑垫片密封的随机性和模糊性的基础上,提出了垫片密封模糊可靠性的概念.基于信息熵理论,按模糊泄漏率导出垫片密封的模糊可靠度计算公式,并用算例说明了公式的应用.     

危险化学品泄漏事故点火概率取值研究

为计算危险化学品泄漏后发生火灾、爆炸等事故的概率,提高风险评估的量化水平,对点火概率的取值进行研究。从模型计算和直接取参考值2个方面探讨点火概率的取值问题,提出不同情形下的取值建议,并结合案例应用对点火概率2种取值方法进行对比分析研究。研究结果表明:点火概率模型计算不确定性较大且适用性有限,而直接取值的参考值均由一系列事件统计而得出,具有一定的科学性,实际取值更倾向于根据经验数据或已有的数据进行取值,但取值时需要充分考虑实际情况(如安全条件等)进行适当的修正,以便取值更科学。     

化工园区泄漏事故安全风险评估模式研究

为减少化工事故频发造成严重人员伤亡及财产损失,在分析危化品泄漏事故类型的基础上,从事故发生概率和事故后果两方面提出危化品泄漏事故风险评估模型.以中毒事故为例,对重庆长寿化工园区内某企业一液氨储罐进行风险评估.基于概率模型计算中毒事故概率,结果表明该储罐发生泄漏引起中毒的概率较小;数值模拟结果显示:影响范围随时间的增加而...     

基于互相关时差法的核电安全壳泄漏定位方法研究

目的 基于声发射检测原理,探究一种适用于核电安全壳的泄漏定位方法。方法 首先,开展安全壳结构的声波传播特性研究;其次,基于时频分析,对安全壳泄漏产生的声信号进行滤波预处理,基于分布式传感网络,利用互相关系数曲线,估计不同传感器信号时延;最后,采用双曲线法,对泄漏源进行定位,得到定位观测点,对观测点进行离散系数加权,得到预测泄漏源位置。结果 安全壳上波速平均值为3 026.2 m/s,泄漏声信号的频带主要集中在15~80 kHz,没有明显的时域特征。采用该方法对模拟安全壳上的泄漏源进行定位,平均定位误差为4.31 cm。结论 安全壳上周向和轴向的波速差异不大,可近似认为是各项同性的。基于离散系数加权的互相关时差法定位效果良好,满足安全壳结构泄漏定位需求。     

臭氧-生物活性炭技术在微污染饮用水处理中的应用

通过研究国内外臭氧—生物活性炭工艺的发展现状和应用实践，指出了该项技术在应用中体现出的优越性，并提出了此项技术在应用中存在的问题，部分地介绍了提高此项技术应用水平的措施。研究表明，臭氧—生物活性炭工艺在处理微污染饮用水将会受到重视和广泛地推广应用，同时也对今后的研究方向提出了相应的观点。     

Potential world garbage and waste carbon sequestration

To offset the carbon dioxide released by fossil fuels, a proposed sequestration strategy relies on burying garbage and waste in landfills. This paper roughly estimates the current annual world supply of carbonaceous waste to be 35.5 billion metric tons and to contain about 18 billion metric tons of carbon. If landfills received all of this waste, sequestration of more than 5.6 billion metric tons of carbon seems theoretically possible—an amount well in excess of the 3.3 billion metric tons which the atmosphere is currently gaining.