超临界CO2回收线路板工艺研究

采用正交试验设计进行了超临界CO₂回收废弃印刷线路板的实验。以温度、压强、时间和夹带剂为实验因素，通过对实验前后样本在重量、厚度、弯曲强度和断裂强度四方面变化的分析考察了各实验因素对实验效果的影响。实验结果表明，影响超临界CO₂法回收印刷线路板的最主要因素为温度、时间和夹带剂，超临界CO₂法回收废弃印刷线路板的最佳工艺条件：温度270℃，压强大于7.38 MPa，时间3 h，夹带剂(水)160 mL。实验进一步验证了压强对实验结果的非显著性影响。     

Industrial Cluster Upgradation of Regenerated Resources in Miluo City

With China's rapid economic growth, ecological construction and environmental protection become increasingly important. The regenerated resources industry is an effective way to solve problems, such as resources depletion, energy shortage, and pollution, and it also has strategic importance for the construction of a resource-conserving and environment-friendly society. The regenerated resources industry has been established in Miluo for long time, which includes a recycling system, a processing and utilization system, and a refuse decontamination system. An industrial cluster is in its early stage of development. In order to solve current problems, such as short industrial chain, low processing rate, and low added value, the industrial cluster should be dynamically upgraded by means of technology innovation, chain nucleus creation, and chain extension. We think the industrial cluster of regenerated resources will become a local brand for Miluo, from which other regions or cities will gain valuable experiences and inspirations.     

应用活性炭再生含多环芳烃植物油的可行性及性能评价

为利用植物油去除污染土壤中的多环芳烃,研究了应用活性炭F400吸附柱再生含多环芳烃植物油的可行性,对含高浓度多环芳烃的植物油进行二级再生处理,优化了过程参数,比较了原植物油和经活性炭再生的植物油去除土壤中多环芳烃能力的差别.结果表明,活性炭吸附法可以实现含多环芳烃植物油的再生,证明了修复策略的可行性.二级处理可以进一步吸附植物油中的多环芳烃,且高分子量多环芳烃几乎完全被去除.再生植物油和原植物油去除土壤中多环芳烃的能力没有明显差别.     

Demand forecasting of green metal materials using non-equidistant grey prediction with robust nonlinear interval regression analysis

Environment, Development and Sustainability - The main advantages of magnesium alloys are that they are lightweight, easy to recycle, and have high vibration absorption. These unique...     

碘化阶层孔氧化硅纳米球对水中典型有机氯污染物的吸附性能研究

采用共缩聚法,成功地原位合成了碘改性的阶层多孔氧化硅纳米球（SiO₂-I）,研究了其基于卤键作用对典型有机氯污染物六六六的吸附性能,并考察了改性剂I-硅烷含量和pH值对吸附效果的影响.实验结果表明,该纳米材料对六六六表现出优异的吸附富集性能,吸附速率快,60 min内对六六六的去除率为71.6%,240 min内达到吸附平衡,去除率可达98.3%,最大吸附量为178.6 mg·g^-1;吸附动力学符合拟二级动力学模型;碘物种的加入提高了阶层多孔氧化硅的吸附速率和吸附效率.另外,为了便于纳米吸附材料的分离,本研究对SiO₂-I纳米球进行了磁性化.研究发现,磁性化修饰后,SiO₂-I纳米材料仍然保留对六六六优异的吸附富集性能,240 min时的吸附去除率达90.3%.     

河岸过滤中氨氮的削减及其浓度对细菌与氨氧化微生物的影响

通过小试滤柱模拟河岸过滤,结合荧光定量PCR和高通量测序等手段研究了河岸过滤对氨氮的削减效能和进水氨氮浓度对细菌与氨氧化微生物的影响.结果表明,低浓度（0.2 mg·L^-1）氨氮未被削减,较高浓度（1.0 mg·L^-1和2.0 mg·L^-1）氨氮的削减率可达70%.进水处细菌丰度随氨氮浓度升高而增加,细菌群落组成随氨氮浓度升高发生规律性变化.出水处氨氧化古菌（Ammonia oxidizing archaea,AOA）丰度与氨氮浓度呈负相关,氨氧化细菌（Ammonia oxidizing bacteria,AOB）丰度与氨氮浓度无显著相关关系;进水处AOA-α多样性与氨氮浓度呈正相关,但AOB-α多样性与氨氮浓度呈负相关;进水处AOA群落组成受氨氮浓度影响,而进、出水处AOB群落组成均受氨氮浓度影响.可见,进水氨氮浓度会影响河岸过滤对氨氮的削减效能,还会影响细菌、氨氧化微生物的丰度及群落结构,AOB对氨氮浓度的变化比AOA更敏感.     

不同空间划分方式下袁河流域景观结构对水质的影响

近年来景观结构的水文效应受到关注,研究不同空间划分方式下景观结构对河流营养盐、重金属变化的影响机制对于流域生态保护具有重要意义.本文于2018年7月和2019年1月在袁河干流及支流38个采样点采集水样,测定水体营养盐类污染指标（DO、NO₃^--N、NH₄⁺-N、TP和DOC浓度）和重金属类污染指标（Cr、Mn、Fe、Cu、Zn、As、Cd和Pb浓度）.基于前向变量选择、冗余分析等方法,筛选景观结构指标,量化其在不同尺度下对水体营养盐、重金属变化的影响.结果表明：①农田、斑块密度（PD）、斑块聚集指数（COHESION）及散布与并列指数（IJI）是影响水体营养盐变化的主要指标.林地、建设用地（Res）、平均最近邻体距离（ENN_MN）和最大斑块指数（LPI）的组合是影响重金属变化的主要指标.②在河岸缓冲带与圆形缓冲区划分方式下,景观结构均在100 m尺度对营养盐变化解释能力最强,平均解释率分别为31.5%、24.3%,均在1000 m尺度对重金属变化解释能力最强,平均解释率分别为32.0%、42.6%.③100 m河岸缓冲带和子流域尺度分别是景观结构影响水体营养盐、重金属变化的最佳空间尺度,平均解释率分别为31.5%、42.8%.以上结果表明,针对水体不同的污染类型,采用对应的划分方式及缓冲尺度有助于提高定量分析精度,为流域水环境保护、景观优化与管理提供科学依据.     

粗放型绿色屋顶基质层对降雨出流水质影响

为研究粗放型绿色屋顶基质层对雨水出流N、P、COD和SS淋失的影响,根据华中地区降雨强度和水质实际情况,构建了3种不同基材配方的绿色屋顶基质层,在9场模拟暴雨下进行绿色屋顶的基质出流水质监测。结果表明:本试验各绿色屋顶设施对TN、NH₄+-N、NO₃--N和SS都有较好的削减作用,但对TP和PO₄3--P淋失现象明显,绿色屋顶的出流中以颗粒态P和溶解态N为主;去除出流中SS,对净化COD效果显著;生物炭的添加对出流污染物有明显的控制作用,能有效缓解降雨初期污染物浓度高的问题,同时能显著增加植物地上部生物量;厚度为5 cm的绿色屋顶出流水中N和COD较10 cm厚度低,但其SS出流平均浓度偏高,且植物后期不能维持良好的长势。粗放型绿色屋顶设施运行稳定后截污效应良好,具有较高的可行性和广阔的应用前景。     

Aerosol optical properties under different pollution levels in the Pearl River Delta (PRD) region of China

To clarify the aerosol hygroscopic growth and optical properties of the Pearl River Delta(PRD)region,integrated observations were conducted in Heshan City of Guangdong Province from October 19 to November 17,2014.The concentrations and chemical compositions of PM_(2.5),aerosol optical properties and meteorological parameters were measured.The mean value of PM_(2.5) increased from less than 35(excellent) to 35-75 μg/m~3(good) and then to greater than 75 μg/m~3(pollution),corresponding to mean PM_(2.5) values of 24.9,51.2,and 93.3 μg/m~3,respectively.The aerosol scattering hygroscopic growth factor(f(RH = 80%)) values were 2.0,2.12,and 2.18 for the excellent,good,and pollution levels,respectively.The atmospheric extinction coefficient(σext)and the absorption coefficient of aerosols(σ_(ap)) increased,and the single scattering albedo(SSA)decreased from the excellent to the pollution levels.For different air mass sources,under excellent and good levels,the land air mass from northern Heshan had lower f(RH) and σ_(sp) values.In addition,the mixed aerosol from the sea and coastal cities had lower f(RH) and showed that the local sources of coastal cities have higher scattering characteristics in pollution periods.     

Phosphate recovery with granular acid-activated neutralized red mud: Fixed-bed column performance and breakthrough curve modelling

Granular acid-activated neutralized red mud (AaN-RM) has been successfully prepared with good chemical stability and physical strength. However, its potential for industrial application remains unknown. Therefore, the performance of granular AaN-RM for phosphate recovery in a fixed-bed column was investigated. The results demonstrated that the phosphate adsorption performance of granular AaN-RM in a fixed-bed column was affected by various operational parameters, such as the bed depth, flow rate, initial solution pH and initial phosphate concentration. With the optimal empty-bed contact time (EBCT) of 24.27 min, the number of processed bed volumes and the phosphate adsorption capacity reached 496.95 and 84.80 mg/g, respectively. Then, the saturated fixed-bed column could be effectively regenerated with a 0.5 mol/L HCl solution. The desorption efficiency remained as high as 83.45% with a low weight loss of 3.57% in the fifth regeneration cycle. In addition, breakthrough curve modelling showed that a 5-9-1 feed-forward artificial neural network (ANN) could be effectively applied for the optimization of the fixed-bed adsorption system; the coefficient of determination (R²) and the root mean square error (RMSE) evaluated on the validation-testing data were 0.9987 and 0.0183, respectively. Therefore, granular AaN-RM fixed-bed adsorption exhibits promising potential for phosphate removal and recovery from polluted water.