中国纺织服装行业能源消费碳排放因素分析

纺织服装行业是中国的重要民生产业。中国纺织服装行业在快速发展的过程中,消耗了大量的能源,并产生了较多的碳排放,分析探讨该行业能源消费碳排放的影响因素对实现行业的节能减碳和低碳发展具有重要意义。文章基于对数平均Divisia因素分解法(LMDI)建立了中国纺织服装行业能源消费碳排放因素分解模型,并对影响行业碳排放量的产业规模、产业结构、能源结构、能源强度等因素进行了实证分析。结果表明,在1991-2009年间,产业规模的扩大是纺织服装全行业、纺织业及纺织服装、鞋、帽制造业碳排放量增加的最主要拉动因素,能源强度因素的提高对于减少碳排放量具有重要意义。产业结构优化对于减少行业碳排放量的效果有限,能源结构调整尚未达到减少行业碳排放量的效果。     

气体二氧化氯的光降解规律研究

为研究气体二氧化氯的光降解规律,利用自行设计的光降解装置,考察不同波长光源、温度和气体二氧化氯初始质量浓度对其降解速率的影响,同时以暗室降解作为参比试验。结果表明:分别在365 nm紫外光、日光、254 nm紫外光以及400～700 nm荧光照射下,相同初始质量浓度的气体二氧化氯的降解速率逐渐下降;当温度在15～25℃范围变化时,相同初始质量浓度的气体二氧化氯的日光降解速率基本相同;不同质量浓度的气体二氧化氯在日光照射下,降解速率随气体质量浓度的增加而增大。因此,对气体二氧化氯的光降解起主要作用的波长是在365 nm附近的紫外光;温度对其降解速率基本没有影响;在日光照射下,气体二氧化氯的降解速率与质量浓度的一次方成正比,属于一级反应,其半衰期与初始质量浓度无关,仅与反应速率常数k有关,半衰期约为63 min。     

Decomposition of carboxymethyl cellulose based on nano-knife principle

The traditional degradation of organic pollutants is based on the sacrifice of chemical or biological reagents. In this study, a purely physical technique was developed to break the chemical bonds and consequently decompose macromolecules in aqueous solution. Assisted with a high-speed mechanical blade, refined quartz sand grains with particularly sharp nanoscale edges can act as ‘nano-knives', which are able to cut the long chain of carboxymethyl cellulose(CMC, as a model molecule). High performance size exclusion chromatography measurements evidenced that the original CMC molecules(41,000 Da) were decomposed into a series of smaller molecules(460, 1000, 2200, 21,000, 27,000 and 31,000 Da). Consequently, the initial viscosity of the CMC solution(2 g/L) rapidly decreased by approximately 50% after 3 min treatment by the nano-knife materials along with the mechanical blade. Fourier transform infrared(FTIR) spectra indicated that the original functional groups were still present and new functional groups were not produced after shearing. The intensity of the main functional groupβ-1-4-glycosidic bond(wavenumber 1062 cm-1) was observed to markedly decrease after shearing. These results indicated that the long-chain CMC was cleaved into short-chain CMC. A degradation mechanism was proposed whereby the cutting force generated by the rapid motion of the nano-knives may be responsible for the breakage of β-1-4-glycosidic bonds in the macromolecular cellulose backbone. These results provide support for a potentially more affordable and environment-friendly strategy for physical-based decomposition of recalcitrant organic pollutants from aqueous solution without the need of chemical or biological reagents.     

Ciprofloxacin degradation in photo-Fenton and photo-catalytic processes: Degradation mechanisms and iron chelation

Ciprofloxacin(CIP)is a broad spectrum synthetic antibiotic drug of fluoroquinolones class.CIP can act as a bidentate ligand forming iron complexes during its degradation in the photoFenton process(PFP).This work investigates on PFP for the degradation of CIP to understand the formation mechanism and stability of iron complexes under ultraviolet(UV)-light illumination.A comparison was made with the UV-photocatalysis(UV/TiO_2)process where CIP doesn't form a complex.In PFP,the optimal dose of Fe~(2+)and H_2O_2were found to be 1.25 and10 mmol/L with pH of 3.5.An optimal TiO_2dose of 1.25 g/L was determined in the UV/TiO_2process.Maximum CIP removal and mineralization efficiency of 93.1%and 47.3%were obtained in PFP against 69.7%and 27.6%in the UV/TiO_2process.The mass spectra could identify seventeen intermediate products including iron-CIP complexes in PFP,and only seven intermediate products were found in the UV/TiO_2process with a majority of common products in both the processes.The proposed mechanism supported by the mass spectra bridged the routes of CIP cleavage in the PFP and UV/TiO_2process,and the decomposition pathway of Fe~(3+)-CIP chelate complexes in PFP was also elucidated.Both in PFP and UV/TiO_2processes,the target site of HO~·radical attack was the secondary-N atom present in the piperazine ring of the CIP molecule.The death of Escherichia coli bacteria was 55.7%and 66.8%in comparison to the control media after 45 min of treatment in PFP and UV/TiO_2process,respectively.     

基于QSPR方法的活性化合物热稳定性预测研究

为形成安全、可靠、便捷的活性化合物热稳定性预测方法,快速获取活性化合物热稳定性参数,采用定量结构-性质相关性(QSPR)方法,针对38种有机过氧化物和104种硝基化合物的起始放热温度和分解热,结合遗传函数算法(GFA)和“断点原则”筛选出的分子描述符,利用遗传算法(GA)优化的BP神经网络,建立活性化合物的热稳定性GA-BP预测模型,验证分析模型的性能和应用域。研究结果表明:所建立的GA-BP模型具有良好的拟合能力、稳定性和预测能力,优于线性模型,说明活性化合物热稳定性与分子结构之间存在非线性关系;同时,得出影响活性化合物热稳定性参数的主要结构因素。     

基于PCA-VMD-CNN的输电线路覆冰重量预测模型*

为防止覆冰灾害危及电路安全,提出1种输电线路覆冰重量预测模型。首先对多个气象因素进行主成分分析提取气象因素中的有效信息,再对覆冰历史数据进行变分模态分解,获得具有不同特性的本征模态分量;然后基于卷积神经网络,对具有不同时间尺度（周期性、波动性不同）的各个分量进行训练及预测,并将每个分量的预测结果相加。研究结果表明:通过对某覆冰区域的输电线路监测数据进行实验仿真,研究所提出的覆冰重量预测模型有更高精度。     

Regional Disparities in China’s Mainland at Provincial Level Between 2000 and 2005

Based on the methodology provided by Organization for Economic Co-operation and Development,we analyze regional disparities in China’s mainland at provincial level between 2000 and 2005.It regards regional GDP growth as the joint result of contribution of a number of factors,i.e.capital productivity,capital per manpower,specialization,employment rate,active population,and population.The results show that for all provincial units,capital per manpower is a dominant contributing factor to the growth of GDP per...     

啶虫脒在甘蓝和土壤中的残留消解动态研究

采用田间试验及气相色谱检测方法,研究了啶虫脒在甘蓝(Brassica oleracea L.var.capitata L.)和土壤中的残留消解动态.结果表明,啶虫脒在甘蓝和土壤中消解较快.在甘蓝中半衰期为1.4～1.6 d,药后3d消解90%以上;在土壤中的半衰期为1.8～1.9 d,药后7 d消解90%以上.3%啶虫脒可湿性粉剂,45、22.5 g·hm-2,施药2次,药后3、5、7 d苹果和土壤中残留量均小于2 mg·kg-1.     

长江上游高山森林林窗对凋落物分解过程中可溶性碳的影响

采用凋落物分解袋法, 以川西高山森林典型乔木(四川红杉Larix mastersiana、岷江冷杉Abies faxoniana、红桦Betula albo-sinensis和方枝柏Sabina saltuaria)和灌木(高山杜鹃Rhododendron lapponicum和康定柳Salix paraplesia)凋落物为研究对象, 研究了林窗中心到郁闭林下不同生境(林窗中心、林冠林窗、扩展林窗和郁闭林下)中凋落物第一年分解不同关键时期(雪被形成期、雪被覆盖期、雪被融化期和生长季节)可溶性碳的动态特征。结果表明:6种凋落物可溶性碳和可溶性有机碳在冬季含量增加而在生长季节含量降低, 而可溶性无机碳含量在全年呈降低趋势;雪被形成期, 6种凋落物可溶性碳和可溶性有机碳在郁闭林下达到最大值, 而雪被覆盖期在林窗中心和林冠林窗达到最大值, 生长季节6种凋落物可溶性碳含量均低于初始含量。这表明全球气候变暖情景下, 冬季林内雪被覆盖时间和厚度降低且生长季节延长将减少凋落物可溶性碳含量, 且变化程度受到凋落物质量控制。     

An Investigation of Thermal Decomposition Behavior of Hazelnut Shells

Turkey has a drastic potential in terms of biomass energy and it would be of utmost importance for our energy mix if this huge amount of energy is to be utilized. Thermochemical conversion is the most dominant one among the energy conversion processes. The carbonization process is the key point in determining the kinetic parameters of the fuels utilized. Thereafter, the kinetic parameters obtained from carbonization would be utilized in designing the thermochemical conversion equipments. In this study, the thermal decomposition behavior of hazelnut shells was investigated via dynamical thermogravimetry (TG) under N₂ atmosphere. In order to determine the effects of heating rate and gas flow rate, the experiments were performed in four different heating rates of 5, 20, 50, and 100 K/min and two different nitrogen flow rates of 50 and 100 cm³/min. As the heating rate was increased, peak temperature was increased, maximum temperature shifted to the right (higher T zones) and the maximum rate of weight loss was increased. In addition, lignin decomposition temperature interval was decreased whereas; cellulose decomposition temperature interval was increased. Increasing the heating rate from 5 to 20 K/min, hemicellulose decomposition temperature interval was increased. Total weight loss was slightly increased by the increase of gas flow rate. Kinetic parameters were calculated according to Coats Redfern method. It was found that activation energies of thermal decomposition reactions of hazelnut shell varied between 1.30 and 32.19 kJ/mol.