煤炭资源型城市转型模式研究：以徐州贾汪区为例

煤炭资源型城市为我国经济发展提供了重要的资源和能源支持,研究资源型城市转型的经验模式对调整区域经济结构、确保社会稳定和改善生态环境具有重要的实践意义。本文采用文献综述法和实证分析法,研究我国东部煤炭资源枯竭型城市转型所面临的共性难题,并以徐州贾汪区转型探索经历为例,总结城市转型的"徐州贾汪区模式",主要包括放大正向外部效应、长期坚持矿地融合、大力建设矿区社会生态系统恢复力三条路径。研究结果表明,煤炭城市转型发展的共性问题相互联系、相互影响,是一个系统性难题,必须引入系统性思维。我国东部矿区普遍人口密集,农业发达、沉陷积水是最主要的共性特征,煤炭开采产生的社会问题、经济问题、生态问题、环境问题基本相同,转型发展模式值得互鉴。     

Poly(lactide)/cellulose nanocrystal nanocomposites by high-shear mixing

There is currently considerable interest in developing stiff, strong, tough, and heat resistant poly(lactide) (PLA) based materials with improved melt elasticity in response to the increasing demand for sustainable plastics. However, simultaneous optimization of stiffness, strength, and toughness is a challenge for any material, and commercial PLA is well-known to be inherently brittle and temperature-sensitive and to show poor melt elasticity. In this study, we report that high-shear mixing with cellulose nanocrystals (CNC) leads to significant improvements in the toughness, heat resistance, and melt elasticity of PLA while further enhancing its already outstanding room temperature stiffness and strength. This is evidenced by (i) one-fold increase in the elastic modulus (6.48 GPa), (ii) 43% increase in the tensile strength (87.1 MPa), (iii) one-fold increase in the strain at break (∼6%), (iv) two-fold increase in the impact strength (44.2 kJ/m²), (v) 113-fold increase in the storage modulus at 90°C (787.8 MPa), and (vi) 10³-fold increase in the melt elasticity at 190°C and 1 rad/s (∼10⁵ Pa) via the addition of 30 wt% CNC. It is hence possible to produce industrially viable, stiff, strong, tough, and heat resistant green materials with improved melt elasticity through high-shear mixing.     

Authenticity green coffee bean species and geographical origin using near-infrared spectroscopy combined with chemometrics

To prevent the adulteration of agricultural resources and provide a solution to enhance the green coffee bean supply chain, authentication using the near-infrared spectroscopy (NIRS) technique was investigated. Partial least square with discrimination analysis (PLS-DA) models combined with various preprocessing methods were built from NIR spectra of 153 Vietnamese green coffee samples. The model combined with the standard normal variate and the first order of derivative yielded excellent performance in predicting coffee species with the error cross-validation of 0.0261. PLS-DA model of mean centre and first-order derivative spectra also yielded good performance in verifying geographical indication of green coffee with the error of 0.0656. By contrast, the predicting abilities of post-harvest methods were poor. The overall results showed a high potential of the NIRS in online authentication practices.     

Green Measurements for Software Product Based on Sustainability Dimensions

Software is a central component in the modern world and vastly affects the environment’s sustainability. The demand for energy and resource requirements is rising when producing hardware and software units. Literature study reveals that many studies focused on green hardware; however, limited efforts were made in the greenness of software products. Green software products are necessary to solve the issues and problems related to the long-term use of software, especially from a sustainability perspective. Without a proper mechanism for measuring the greenness of a particular software product executed in a specific environment, the mentioned benefits will not be attained. Currently, there are not enough works to address this problem, and the green status of software products is uncertain and unsure. This paper aims to identify the green measurements based on sustainable dimensions in a software product. The second objective is to reveal the relationships between the elements and measurements through empirical study. The study is conducted in two phases. The first phase is the theoretical phase, where the main components, measurements and practices that influence the sustainability of a software product are identified. The second phase is the empirical study that involved 103 respondents in Malaysia investigating current practices of green software in the industrial environment and further identifying the main sustainability dimensions and measurements and their impact on achieving green software products. This study has revealed seven green measurements of software product: Productivity, Usability, Cost Reduction, Employee Support, Energy Efficiency, Resource Efficiency and Tool Support. The relationships are statistically significant, with a significance level of less than 0.01 (p = 0.000). Thus, the hypothesised relationships were all accepted. The contributions of this study revolve around the research perspectives of the measurements to attain a green software product.     

中国钢铁产品全生命周期评价理论与实践

阐述了全生命周期评价的基本原理和内涵，分析了全生命周期评价在国内外钢铁行业的应用现状、差距及研究进展情况，论述了钢铁企业开展全生命周期评价的重要意义，研究了中国政府、行业协会、钢铁企业、咨询机构等在推进绿色设计产品评价技术规范系列标准等方面开展的相关工作。提出钢铁行业全生命周期评价推广与应用的具体建议，探讨了发展方向，对钢铁企业开展生命周期评价具有一定的指导意义。     

超高效液相色谱-串联质谱法检测鱼类中孔雀石绿、结晶紫及其代谢物

目的建立超高效液相色谱-串联质谱法测定鱼类中孔雀石绿、结晶紫及其代谢物的分析方法。方法本方法依据GB/T 19857-2005,样品用乙腈提取,分散固相萃取净化管净化后,采用色谱柱分离。样品经过离子化后进入质谱仪中,以水和乙腈为流动相,电喷雾正离子化模式(electrospray ionization,ESI+)和多反应检测(multiple reaction monitoring,MRM)扫描模式进行测定,同位素内标法定量。结果孔雀石绿和结晶紫及其代谢产物在0.2～2.0 ng/mL浓度范围内,线性关系良好(r 0.999),检出限均为0.5μg/kg。在0.5～2.0μg/kg水平内,目标物质的平均加标回收率在99.71%～112.86%之间,相对标准偏差均不超过13%。对72份鱼类样品进行检测,隐性孔雀石绿的检出率为1.38%,其余均未检出。结论该方法定量准确、分析时间短,适用于鱼肉中孔雀石绿和结晶紫及其代谢物残留量的定量检测。     

基于改进人工蜂群算法的多目标绿色柔性作业车间调度研究

针对多目标绿色柔性作业车间调度问题（MGFJSP）的特点，提出从碳排放量、噪声和废弃物这3个指标来综合评定环境污染程度，建立了以最小化最大完成时间和环境污染程度为优化目标的MGFJSP模型，并提出了一种改进的人工蜂群算法来求解该模型。算法的具体改进包括：设计了一种三维向量的编码和对应解码方案，在跟随蜂搜索阶段引入一种有效的动态邻域搜索操作来提高算法的局部搜索能力，在侦查蜂阶段提出产生新食物源的策略用于增加种群的多样性。最后进行了实验研究与算法对比，以验证所建模型和所提算法的有效性。     

臭氧氧化技术在有色金属湿法冶金中的应用研究进展

臭氧是一种氧化性极强、多功能化的绿色氧化剂。本文综述了臭氧氧化技术在有色金属湿法冶金领域的研究进展和应用现状,重点介绍了在贵金属、重金属、稀有金属及轻金属等有色金属湿法冶金领域的应用研究。详细探讨了臭氧的强氧化性对低品位金属矿和难冶金属矿浸出、溶液中低价态金属离子氧化沉淀、溶液净化除杂等方面的作用机理,并对目前面临的问题进行简要叙述,对其在有色金属湿法冶金领域的应用前景进行了展望。     

基于街景地图数据的北京市东城区 街道绿色空间正义评估研究

绿色空间正义是城市空间正义的典型代表，意为在人群中公平分配维护绿色空间的责任和享有绿色空间的权益。根据其定义，以北京市东城区为例，从责任和权益2个角度着眼，一方面基于百度街景地图数据提炼街道空间绿视率的空间分布特点，表征街道绿色空间的客观可感知水平；另一方面将街道绿视率和实时人口热力叠加，探讨街道绿色空间的实际被感知程度，从而完成对北京市东城区街道绿色空间维护和享有情况的评估。发现邻近使用者维护街道绿色空间的责任对绿化客观可感知水平的重要性，以及合理的道路断面设计对同时提升街道空间活力和绿视率即绿化实际被感知程度的有效性。由此总结出2点街道绿色空间规划设计建议，即明晰权责边界并保证公共权益优先级，以及加强落地性设计导则中对绿色空间正义问题的关注，并对未来研究提出展望。     

宽幅高速纸机刮刀座绿色制造技术研究

绿色制造具有降低消耗与污染、节约时间与成本、提高效率与质量的特点。而宽幅高速纸机刮刀座的传统加工方法无法满足绿色制造需求。针对传统加工工艺繁琐、加工变形量大、直线度误差大等突出问题，本研究对影响刮刀座止口面加工精度的因素进行分析，结合有限元软件分析铣削参数和工序方案，提出了刮刀座、凸台、轴一体式的绿色加工工艺，并将该加工工艺与传统加工工艺进行对比。结果表明，采用该绿色加工工艺生产的刮刀座，具有精度高、生产效率高、能耗低、费用低等特点。