青藏铁路格望段工程生态影响的主要特征：线型切割

线型工程是主要的生态类项目之一,随着各类线型工程迅速增加,其引发的生态影响已经逐渐暴露出来。本文分析了线型切割影响的提出背景以及景观生态学在研究线型工程生态影响中的应用。并以青藏铁路格望段为例,分析了线型切割作用的具体表现,主要包括：阻断能流、物流、物种流;阻断生态用水;阻断野生动物迁徙通道;造成景观破碎化。同时,针对不同的切割影响提出了相应防护对策,包括修建排水建筑物、生物通道、树篙廊道等。     

Initiating automotive component reuse in Malaysia

As the production of local vehicles increases, the impact of end-of-life vehicles (ELVs) wastes to the environment will also increase. ELVs recovery including reuse, remanufacture, and recycle apparently become a strategy in solving this environmental problem. This study identifies the existing conditions of automotive reuse in Malaysia by conducting some interviews in selected local automotive and automotive component manufacturers. Results from the interviews indicated that reuse of automotive components in newly manufactured vehicles has never been practiced by the selected companies. However, there is interest among respondents in developing automotive components for after-market reuse. Some strategies were proposed in this study to initiate automotive components reuse in the local automotive manufacturers including the establishment of the end-of-life directive, enhance research and development on design for reuse and increase reusability and economic benefits of reuse.     

化学吸收法回收工业废气中CO的研究

通过实验优选出一种ＣｕＣｌ－ＭｇＣｌ２水溶系统高选择性ＣＯ吸收剂,确定了吸收剂对ＣＯ的最大吸收量与温度的关系,探讨了气体组成变化对ＣＯ回收率的影响,由实验数据求出吸收过程中ＣＯ的回收率为９３％。采用气相色谱分析法测出产物ＣＯ的纯度为９８％,给出吸收液的解吸温度范围为１２０－１４０℃。初步探讨了ＣｕＣｌ－ＭｇＣｌ２水溶系吸收剂对ＣＯ的吸收反应机理,为转炉烟气等工业废气中ＣＯ的分离回收提供了新途径。     

丙烯腈、醋酸乙烯酯罐区火险分析及对策

对丙烯腈、醋酸乙酯罐系统危险性及罐区泄漏潜在危险性进行了系统分析。并对丙烯腈、醋酸乙烯酯罐区的防火防爆提出了相应的对策,对泡沫消防设备及可燃气体检测器灭火系统的可行性和实用性进行了重点介绍和探讨。     

MSWNet: A visual deep machine learning method adopting transfer learning based upon ResNet 50 for municipal solid waste sorting

● MSWNet was proposed to classify municipal solid waste. ● Transfer learning could promote the performance of MSWNet. ● Cyclical learning rate was adopted to quickly tune hyperparameters. An intelligent and efficient methodology is needed owning to the continuous increase of global municipal solid waste (MSW). This is because the common methods of manual and semi-mechanical screenings not only consume large amount of manpower and material resources but also accelerate virus community transmission. As the categories of MSW are diverse considering their compositions, chemical reactions, and processing procedures, etc., resulting in low efficiencies in MSW sorting using the traditional methods. Deep machine learning can help MSW sorting becoming into a smarter and more efficient mode. This study for the first time applied MSWNet in MSW sorting, a ResNet-50 with transfer learning. The method of cyclical learning rate was taken to avoid blind finding, and tests were repeated until accidentally encountering a good value. Measures of visualization were also considered to make the MSWNet model more transparent and accountable. Results showed transfer learning enhanced the efficiency of training time (from 741 s to 598.5 s), and improved the accuracy of recognition performance (from 88.50% to 93.50%); MSWNet showed a better performance in MSW classsification in terms of sensitivity (93.50%), precision (93.40%), F1-score (93.40%), accuracy (93.50%) and AUC (92.00%). The findings of this study can be taken as a reference for building the model MSW classification by deep learning, quantifying a suitable learning rate, and changing the data from high dimensions to two dimensions.     

基于我国物种毒性数据的多溴联苯醚预测无效应浓度分析

采用多溴联苯醚(PBDEs)对我国广泛分布生物物种的生态毒性数据,根据欧盟现有化学物质风险评价技术指导文件,对不同环境介质中PBDEs预测无效应浓度(PNEC)进行了推导。结果表明:我国淡水环境PBDEs(四溴、五溴、八溴)的PNEC水分别为50μg·L~(-1)、0.53μg·L~(-1)、0.017μg·L~(-1)。沉积物环境PBDEs(四溴、五溴、八溴和十溴)的PNEC沉积物分别为823.35 mg·kg~(-1)wt、1.55 mg·kg~(-1)dw、12.72 mg·kg~(-1)dw、38.41 mg·kg~(-1)dw。土壤环境PBDEs(四溴、五溴、八溴和十溴)的PNEC土壤分别为668.3mg·kg~(-1)wt、0.38 mg·kg~(-1)dw、147 mg·kg~(-1)dw、98 mg·kg~(-1)dw。次生毒性PBDEs(五溴、八溴和十溴)的PNEC经口分别为0.3~0.7 mg·kg~(-1)、0.56 mg·kg~(-1)、2 500 mg·kg~(-1)。该数值期为我国PBDEs的环境风险评价提供科学基础。     

美缝剂TVOC释放量与释放规律的测试与分析

提出了环境舱法测试美缝剂总挥发性有机化合物(TVOC)释放量的方法,对市场常见的美缝剂产品的TVOC进行了测试,并研究了美缝剂的TVOC释放规律和主要污染物.同时对美缝剂的甲醛释放量进行了测试.通过对16种环氧树脂美缝剂产品的数据分析显示,美缝剂产品的甲醛释放量风险较低;75%的产品在第7天的TVOC释放量可达到500μg·m^-3以下.但个别产品在28 d时仍有明显的VOC释放,显示其具有长期缓慢释放的特点.美缝剂释放的主要污染物为苯甲醛与苯甲醇,个别产品检出有甲苯和邻苯二甲酸酯类物质.     

选矿循环水处理研究

氰化尾渣浮选硫精矿过程中,选矿水长时间循环使用,导致选矿水中的的黄药、氰化物及重金属络合物等不断富集,影响了硫精矿浮选效率.为解决这一问题,采用臭氧氧化+碟管式反渗透+机械式蒸汽压缩技术,对选矿循环水进行处理,减少水中CODcr、氰化物、TDS,提高硫精矿回收率,降低生产成本.     

新兴产业形态与再生资源产业升级发展

在再生资源产业快速发展过程中,集散市场、分拣中心与加工园区等新兴产业形态令人瞩目。这些新兴产业形态的出现是再生资源产业经济效率提高的要求,是产业地位提升的需要,是先进理念注入的结果,是技术进步的必然趋势。其代表着再生资源产业更先进的生产力,标志着再生资源产业的庞大产业链条正在形成。应从新兴产业形态中,发掘再生资源产业发展的内生动力,推动再生资源产业又好又快发展。     

北部湾潮间带沉积物中重金属和多氯联苯的分布特征及生态风险评价

选择北部湾9个典型采样点,研究了潮间带沉积物中重金属和多氯联苯(PCBs)的分布特征和生态风险.分析结果表明,Hg、As、Cu、Pb、Zn、Cd、Cr等重金属和总PCBs的平均含量分别为0.100、10.00、19.89、45.97、208.65、0.098、17.86 mg.kg-1和1.48!g.kg-1.重金属和PCBs表现出不同的空间变化规律.相关性分析表明,北部湾潮间带的重金属主要来自人为污染;沉积物的粒度参数和有机质含量等性质特征是影响PCBs分布和迁移的重要因素;重金属和PCBs总量之间不存在明显的相关性.生态风险评价结果表明,PCBs和Cd是北部湾潮间带最主要的生态风险因子,Zn和PCBs是优势污染物;研究区域总体处于中等生态风险等级,表明沿岸港口和临海工业等人为活动已经对北部湾滨海地区造成了一定的环境压力.