中亚热带马尾松林凋落物分解过程中的微生物与酶活性动态

采用凋落物原位分解法,研究了中亚热带马尾松林中马尾松、槲栎凋落叶单独及混合(自然质量比8∶2)分解过程中的微生物数量与酶活性动态.结果表明:①3类凋落物的年分解常数K的大小为:混合凋落物(0.94)>槲栎凋落物(0.86)>马尾松凋落物(0.67);②3类凋落物真菌数量和微生物数量均在夏季(135 d时)达到最大值,而此时细菌和放线菌数量最低;③3类凋落物纤维素酶活性、酸性磷酸酶活性均与凋落物干重剩余率呈显著正相关(P<0.05),而马尾松与混合型凋落物中的多酚氧化酶活性同凋落物干重剩余率呈极显著负相关(P<0.01);④微生物数量和多酚氧化酶活性均总体表现为槲栎凋落物>混合凋落物>马尾松凋落物,酸性磷酸酶活性多表现为槲栎凋落物最低,与分解常数K排列有一定的差异,说明凋落物分解是微生物和多种酶共同作用的结果.整体研究表明,凋落物质量和季节气候的差异显著影响微生物群落及其调控的生态过程,与纯马尾松凋落叶相比,针阔混合使微生物数量和多酚氧化酶活性显著提高,这可能是导致分解加快的重要原因.     

基于LMDI中国省域氮氧化物减排与实现路径研究

首先基于Kaya恒等式,利用对数平均Divisia指数分解模型(LMDI法)将氮氧化物排放分解为排放因子、能源强度、经济结构、能源结构和经济发展5个因素;其次通过模型得出的脱钩系数运用构建四象限法评价"十二五"期间中国30个省市脱钩空间差异,研究各省市氮氧化物减排表现、分析减排潜力和减排影响因素,为国家"十三五"制定差异化的区域氮氧化物减排目标和寻找多元化的氮氧化物减排途径提供有益参考.研究结果表明:经济增长是促进氮氧化物排放量增加的决定因素,能源强度降低是抑制氮氧化物增排的决定因素,经济结构优化和能源结构调整具有较大促进氮氧化物减排潜力;中国氮氧化物排放与经济增长脱钩空间分异明显,大部分省市经济发展与氮氧化物排放处于脱钩状态,部分省市弱脱钩状态.同时,中国氮氧化物排放与经济增长脱钩系数呈现逐年上升趋势,2010—2015年中国各省市氮氧化物排放脱钩空间分布由较弱、中脱钩为主至中、较强脱钩为主再到较强脱钩为主,呈现区域间"异质化"和区域内"均质化"的趋势.国家氮氧化物后续减排任务应多分解在中脱钩或弱脱钩(减排潜力大)省市,对相邻的省份制定协同减排计划,且主要通过提高能源利用效率、同时优化经济结构和能源消费结构实现其最优减排.     

Acid generation upon thermal concentration of natural water: The critical water content and the effects of ionic composition

Thermal evaporation of a variety of simulated pore waters from the region of Yucca Mountain, Nevada, produced acidic liquids and gases during the final stages of evaporation. Several simulated pore waters were prepared and then thermally distilled in order to collect and analyze fractions of the evolved vapor. In some cases, distillates collected towards the end of the distillation were highly acidic; in other cases the pH of the distillate remained comparatively unchanged during the course of the distillation. The results suggest that the pH values of the later fractions are determined by the initial composition of the water. Acid production stems from the hydrolysis of magnesium ions, especially at near dryness. Near the end of the distillation, magnesium nitrate and magnesium chloride begin to lose water of hydration, greatly accelerating their thermal decomposition to form acid. Acid formation is promoted further when precipitated calcium carbonate is removed. Specifically, calcium chloride-rich pore waters containing moderate (10–20 ppm) levels of magnesium and nitrate and low levels of bicarbonate produced mixtures of nitric and hydrochloric acid, resulting in a precipitous drop in pH to values of 1 or lower after about 95% of the original volume was distilled. Waters with either low or moderate magnesium content coupled with high levels of bicarbonate produced slightly basic fractions (pH 7–9). If calcium was present in excess of bicarbonate, waters containing moderate levels of magnesium produced acid even in the presence of bicarbonate, due to the precipitation of calcium carbonate. Other salts such as halite and anhydrite promote the segregation of acidic vapors from residual basic solids. The concomitant release of wet acid gas has implications for the integrity of the alloys under consideration for containers at the Yucca Mountain nuclear waste repository. Condensed acid gases at very low pH, especially mixtures of nitric and hydrochloric acid, are capable of corroding even alloys, such as nickel-based Alloy 22, which are considered to be corrosion-resistant under milder conditions.     

Comparison of criteria for prediction of runaway reactions in the sulphuric acid catalyzed esterification of acetic anhydride and methanol

Loss of temperature control is one of the major reasons that can lead to runaway reaction. This occurrence is commonly named thermal runway. The aim of this paper is the application of thermal runaway criteria in order to predict the onset of runaway phenomena and define the range of stability related to operating conditions in the reactor, with specific reference to the esterification of acetic anhydride and methanol catalysed by sulphuric acid tested in isoperibolic conditions. The isoperibolic calorimeter has also been used to obtain thermodynamic, kinetic and physical chemistry data necessary to develop a model for the reaction. Some runaway criteria applied in this work require a model for the process, so a model for the analyzed system been developed.Because of the modest reaction enthalpy and low activation energy this reacting system provide a severe test to the runaway criteria.In this work, various runaway criteria have been applied to the experimental and simulated data and the results obtained have been compared.     

纳米铝粉对烟火药剂热安全性影响研究

为研究铝粉纳米化后对烟火药剂性能的影响，本文将普通铝粉和纳米铝粉分别与氯酸钾、硫粉按照零氧平衡的同一配比（17％AL＋63％KClO3＋20％S）配成的烟火药剂进行ARC热分析对比试验发现，含纳米铝粉的烟火药剂热分解的初始反应温度降低，反应到达最大温升速率所需的时间延长，反应所能达到的最高压力降低。这说明纳米铝粉的加入在加速其反应进程的同时，可有效地降低其反应的激烈程度和危险性，即铝粉纳米化后可以有效的改善烟火药剂的性能，提高其安全性。     

我国城市间客运交通能源消耗趋势的分解

随着我国城镇化水平不断提高,城市作为重要的交通网络节点,其衔接交通运输线路、产生和承担客货流转换的功能日益显著。定量地探讨城市间客运交通能源消费变化的影响因素对于我国未来城市间客运交通能源需求的研究及温室气体减排具有重要意义。本文采用终端能源需求MAED模型,对我国城市间客运交通能耗的历史基期数据进行处理,同时对未来能耗进行预测,在形成ASIF结构的数据基础上,利用对数平均迪氏指数法(Logarithmic Mean Index,LMDI)对城市间客运交通能耗的活动效应、结构效应和强度效应进行分解分析。结果表明,从历史数据来看,我国"十五"期间城市间客运交通能耗的快速增加同时取决于客运周转量的增加、客运交通模式和能耗强度的转变,若延续这一发展趋势,我国中长期城市间客运交通模式将快速增长。未来城市间轨道交通网络的发展和高效利用及交通节能减排政策的落实将是促进能源消耗增速降低的可能选择。     

基于行业增长的省级可再生能源规划目标分解

为了有效的把国家可再生能源规划分阶段的落实到各个省市,做好二者之间衔接工作,研究考虑了我国在从发展中国家过渡到中等发达国家时所需要考虑的如何平衡公平与效率之阀关系的问题,结合中国可再生能源发展实际特征,提出一种基于行业增长曲线的可再生能源阶段目标分解模型.模型首先求解出中国不同的可再生能源行业的增长曲线.然后给出可再生能源发展阶段目标函数.结合区域发展规划,给出了各省的阶段目标,为了验证该模型的正确性,以风电、水电和太阳发电为代表能源,结合国家可再生能源整体规划和资源需求分布状况,分阶段提出了各省域的可再生能源发展目标.目标分解参照两个原则(1)可分解原则.国家总量目标可以根据一定的标准在不同地区、部门和行业进行分解,由全社会共同完成发展目标.(2)公平性和区域差异的原则.考虑资源禀赋和社会经济发展水平差距,各地总量目标有所区别.研究对于可再生能源规划的整体实施和监管具有一定的借鉴意义.     

Developing of a pricing model for Turkish lignite used in thermal plants

The objective of this paper is to develop a general pricing model for Turkish Lignite, which is mainly sold to thermal plants. This model will contribute to the development of coal mining within the scope of privatization efforts of the Turkish energy market. The paper consists of two stages. First, data of 10 thermal plants have been evaluated by using hedonic pricing analysis to determine influential price parameters. The results of hedonic regression analysis indicate the effect and importance of calorific value and electricity price on lignite prices. Second, a general coal-pricing model has been developed by taking into account the results of hedonic analysis. Comparison of the coal prices estimated by the developed pricing model and the coal prices obtained from thermal plants indicates an acceptable relation.     

非热强介质等离子体反应器用于臭味气体的分解

对非热强介质等离子体反应器用于臭味气体———氨、硫化氢、甲基硫醇的分解进行了试验研究。研究了施加电压、停留时间、初始浓度对臭味气体分解率的影响 ,并对氨的分解产物进行了初步分析。结果表明 ,在这 3种气体的初始体积分数分别为 2 5× 10 -6和 5 0× 10 -6的条件下 ,当施加电压为 16kV、停留时间为 0 .2 3s时 ,氨的分解率达到 97%以上 ;当停留时间为0 .2 3s时 ,硫化氢和甲基硫醇分别在 10kV和 8kV时达到 10 0 %的分解。     

Short-term wind speed forecasting based on random forest model combining ensemble empirical mode decomposition and improved harmony search algorithm

ABSTRACT

Wind speed forecasting plays an important role in power grid dispatching management. This article proposes a short-term wind speed forecasting method based on random forest model combining ensemble empirical modal decomposition and improved harmony search algorithm. First, the initial wind speed data set is decomposed into several ensemble empirical mode functions by EEMD, then feature extraction of each sub-modal IMF is performed using fast Fourier transform to solve the cycle of each sub-modal IMF. Next, combining the high-performance parameter optimization ability of the improved harmony search algorithm, two optimal parameters of random forest model, number of decision trees, and number of split features are determined. Finally, the random forest model is used to forecast the processing results of each submodal IMF. The proposed model is applied to the simulation analysis of historical wind data of Chaoyang District, Liaoning Province from April 27, 2015 to May 22, 2015. To illustrate the suitability and superiority of the EEMD-RF-IHS model, three types of models are used for comparison: single models including ANN, SVM, RF; EMD combination models including EMD-ANN, EMD-SVM, EMD-RF; EEMD combination models including EEMD-ANN, EEMD-SVM, EEMD-RF. The analysis results of evaluation indicators show that the proposed model can effectively forecast short-term wind data with high stability and precision, providing a reference for forecasting application in other industry fields.