控制回路的多维度性能评估方法研究

为评价炼化装置中各控制回路的性能,基于控制回路关键品质指标要求,采用控制回路的设定值、输出值、测量值、控制模式等过程参数设计了准确性指标、稳定性指标及快速性指标等性能评估指标。辅助技术人员在线进行控制回路性能评估,识别性能较差的控制回路,诊断异常原因并进行优化,提高装置的自动化水平。     

四川省生活垃圾处理设施运行现状及存在问题分析

根据对四川省生活垃圾处理设施运行情况的现场调研,对全省生活垃圾的处理概况和垃圾处理设施的建设运行现状以及目前四川省生活垃圾无害化处理存在的问题和形成原因进行了分析,并提出建议,为政府决策提供参考,为同行实施建设、管理提供帮助。     

Glass recycling in cement production--an innovative approach

An innovative approach of using waste glass in cement production was proposed and tested in a laboratory and cement production plant. The laboratory characterization of 32 types of glass show that the chemical composition of glass does not vary significantly with its color or origin but depends on its application. The alkali content of glass, a major concern for cement production varies from 0 to 22%. For the glass bottles mainly found in Hong Kong waste glasses, the alkali content (Na2O) ranges from 10 to 19% with an average around 15%. There is no significant change of the SO2 content in the gas exhaust of the rotary kiln when about 1.8 t/h of glass bottles were loaded along with the 280-290 t/h raw materials. The content of NOx, mainly depends on the temperature of the kiln, does not show significant change either. The SO3 content of the clinker is comparable with that obtained without the loading of glass. The alkaline content shows a slight increase but still within three times the standard deviation obtained from the statistical data of the past year. The detailed analysis of the quality of the cement product shows that there is not any significant impact of glass for the feeding rate tested.     

天津海域底质重金属分布与矿物质特征研究

文中研究了渤海湾天津海域沉积物中重金属的空间分布特征,在此基础上进行了元素间的相关分析,以进一步分析元素间共同的分布趋势;同时对该海域表层沉积物矿物组合做了分析。结果表明,沉积物重金属平面分布特征总体上表现为河口附近含量高,口外低的趋势;垂直分布特征由于受沿岸不同污染源的污染影响,重金属污染物难以形成一定规律的分布状态,总体上呈波折型分布;该海域各重金属相关性非常明显,反映了这些重金属元素间共生共存的地球化学特性;渤海表层沉积物中含有5%的闪石和白云石,闪石和白云石是渤海湾沉积物的重要标志矿物;渤海湾表层沉积物中粘土矿物组合为伊利石和绿泥石,其平均含量分别为56%和44%。     

基于LCA的钢铁联合企业CO_2排放影响因素分析

钢铁企业是CO2排放大户,减少吨钢CO2排放是钢铁企业节约能源、保护环境、走可持续发展道路的必然要求.本研究旨在对钢铁企业产品生命周期清单研究的基础上,识别钢铁企业CO2排放的主要影响因素,提出针对性的减排建议.以某钢铁联合企业的产品生命周期清单模型为平台,同时利用TornadoChart工具,计算得到对企业CO2排放影响较大的因素,然后提出了相应的减排措施.结果表明,转炉流程对于钢铁企业的影响要大于电炉流程;对该企业CO2排放有重大影响和相关影响的因素有:高炉煤气(BFG)的CO2排放系数、连铸坯的钢水单耗、热轧的板坯单耗、转炉的铁水比.减少钢铁联合企业CO2排放的有效措施是采取捕集BFG中的CO2、降低转炉的铁水比、加强副产煤气的回收以及优化企业的产品生产结构.     

草木樨在汞胁迫下的遗传分化研究

以草木樨(Melilotus officinalis)种子为研究对象,将其暴露于0、20、40和60 mg·L-1浓度的氯化汞中进行萌发,并对存活的幼苗利用水平淀粉凝胶电泳进行等位酶分析.结果表明,草木樨在Me和Pgi基因座具有多态性,其平均的等位基因数为3.0基因座-1,杂合性为0.332 - 0.342,草木樨符合...     

Environmental risks and the potential benefits of nanopesticides: a review

Environmental Chemistry Letters - With the escalating food demand of the ever-increasing global population and the rapid development of nanotechnology, nanopesticides are being proposed as...     

绍兴茶园小流域的3种农药生态风险评价

虫螨腈、联苯菊酯和溴氰菊酯是茶叶生产中较为常见的3种杀虫剂,但其对茶园小流域内生态环境影响的相关研究较少。为评价其生态风险,选取我国浙江绍兴茶园小流域内主要溪流及湖库采集水体样品,采用气相色谱-质谱法对样品中3种农药进行残留检测;基于美国生态毒理数据库(ECOTOX)收集了3种农药对我国常见水生生物的毒性数据,利用BITSSD软件平台构建了物种敏感度分布(species sensitivity distribution, SSD)曲线,结合研究区实测数据开展3种农药对绍兴茶园小流域的生态风险评价研究。结果表明：(1)无脊椎动物和节肢动物对3种农药的敏感度高于鱼类,营养级越高其敏感度越低;(2)根据SSD模拟结果,为保护该流域95%的物种,联苯菊酯和溴氰菊酯浓度需<0.001μg·L^(-1),虫螨腈为0.4μg·L(-1),虫螨腈为0.4μg·L^(-1);(3)农药喷施后,虫螨腈、溴氰菊酯和联苯菊酯在茶园溪流中的残留浓度最高分别影响22%、50%和66%的物种,联苯菊酯是生态风险的主要贡献者,但在喷施1个月后,茶园流域水溪及河湖水环境中的农药残留基本均未检出。这说明3种农药施用对茶园小流域物种的影响较小,所带来的生态风险尚在可控范围之内。     

A fast antibiotic detection method for simplified pretreatment through spectra-based machine learning

• A spectral machine learning approach is proposed for predicting mixed antibiotic. • Pretreatment is far simpler than traditional detection methods. • Performance of the model is compared in different influencing factors. • Spectral machine learning is promising in the detection of complex substances. Antibiotics are widely used in medicine and animal husbandry. However, due to the resistance of antibiotics to degradation, large amounts of antibiotics enter the environment, posing a potential risk to the ecosystem and public health. Therefore, the detection of antibiotics in the environment is necessary. Nevertheless, conventional detection methods usually involve complex pretreatment techniques and expensive instrumentation, which impose considerable time and economic costs. In this paper, we proposed a method for the fast detection of mixed antibiotics based on simplified pretreatment using spectral machine learning. With the help of a modified spectrometer, a large number of characteristic images were generated to map antibiotic information. The relationship between characteristic images and antibiotic concentrations was established by machine learning model. The coefficient of determination and root mean squared error were used to evaluate the prediction performance of the machine learning model. The results show that a well-trained machine learning model can accurately predict multiple antibiotic concentrations simultaneously with almost no pretreatment. The results from this study have some referential value for promoting the development of environmental detection technologies and digital environmental management strategies.     

Semi-closed synthesis of nitrogen and oxygen Co-doped mesoporous carbon for selective aqueous oxidation

Heteroatom-doped meso/micro-porous carbon materials are conventionally produced by harsh carbonization under an inert atmosphere involving specific precursors, hard/soft templates, and heteroatom-containing agents. Herein, we report a facile synthesis of N and O co-doped meso/micro-porous carbon (NOMC) by template-free carbonization of a small-molecule precursor in a semi-closed system. The semi-closed carbonizaiton process yields hydrophilic NOMCs with large surface area in a high yield. The porous structure as well as the elemental composition of NOMCs can be modulated by changing the holding time at a particular temperature. NOMCs as metal-free heterogeneous catalysts can selectively oxidize benzyl alcohol and its derivatives into aldehydes/ketones with>85％conversion in aqueous solution, which is much higher than that of the control sample obtained in tube furnace (21％conversion), mainly due to their high N content, high percentage of pyridinic N, and large surface area. The presence of O-containing moieties also helps to improve the hydrophilicity and dispersion ability of catalysts and thus facilitates the mass transfer process during aqueous oxidation. The NOMC catalysts also dispayed excellent activity for a wide range of substrates with a selectivity of>99％.