Forecasting iron ore import and consumption of China using grey model optimized by particle swarm optimization algorithm

The iron and steel industry plays a fundamental role in a country's national economy, especially in developing countries. China is the largest iron ore consumption market in the world. However, because of limited domestic iron ore resources, a large proportion of iron ore is imported from other countries. Faced with the conflict between the iron ore supply shortage and the growing demand, it is necessary for the government to predict imports and total consumption. This paper develops a high-precision hybrid model based on grey prediction and rolling mechanism optimized by particle swarm optimization algorithm. We use the China Statistical Yearbook (1996–2011) as our database to test the efficiency and accuracy of the proposed method. According to the experimental results, the proposed new method clearly can improve the prediction accuracy of the original grey model. Future projections have also been done for iron ore imports and total consumption in China in the next five years.     

海洋石油平台生活污水COD快速测定方法

为快速检测海洋石油平台生活污水的COD,同时减少海水中Cl-对数据的影响,崖城海上平台实验室结合自身特点,采用哈希试剂加入一定量硫酸汞的方法来屏蔽Cl-,测量结果达到了预期目标,满足海洋石油海上生活污水快速准确的检测要求。     

我国环境事件生发机理的Logistics回归分析

以近年来我国发生的有影响力的100个环境事件为研究对象,通过多元Logistics回归方法。利用环境污染生境、污染主体特征、污染物特征、对象敏感性、社会敏感性、治理难度和治理效果7类变量23类观测指标解析了影响环境事件发生的显著因素。以此为基础,分别给出了控制和预防大概率小损失、大概率大损失、小概率小损失和小概率大损失环境事件发生的政策建议。     

应用主成分分析法研究海州湾的污染状况

本文应用主成分分析法对海州湾１９个测站的九项污染指标进行了研究，把整个海湾的污染分成了六个类型，指出了各类中应优先控制的污染因子及污染源，同时排除了对本海湾污染贡献较小的三项指标。     

应用物种敏感性分布评估重金属对海洋生物的生态风险

应用生态风险评价中的物种敏感性分布(species sensitivity distributions,SSD)方法构建了8种常见重金属元素(As、Cd、Cr、Cu、Hg、Mn、Pb、Zn)对海洋生物的SSD曲线。在此基础上计算了8种重金属对海洋生物的5%危害浓度(HC5)及其不同暴露浓度对海洋生物的潜在影响比例(PAF),比较了海洋脊椎动物和无脊椎动物对8种重金属的敏感性以及不同重金属的急性生态风险。结果表明,重金属对甲壳类的生态风险均比鱼类大。8种重金属元素对所研究的海洋生物全部物种的HC5值的排序为Pb>Mn>Zn>Cr>Cu>Hg>Cd>As。暴露浓度小于10μg·L-1时,Cr和Hg的生态风险差异不大。在10μg·L-1的暴露浓度下,As、Cd、Cu和Hg均使全部物种中超过10%的生物受到影响。随着浓度升高,不同重金属的生态风险有不同幅度的增大,当浓度达到1000μg·L-1时,分别有82.49%、87.31%和85.90%的物种受到As、Cu和Hg的损害。不同生物的敏感性顺序会随重金属的浓度范围发生变化。     

Quantitative analysis of microplastics in coastal tidal-flat reclamation in Dongtai,China

• Reclamation projects are important disturbances on microplastic risk in coasts. • Tidal-flat reclamation area is a large storage medium for sedimentary microplastics. • Aging and distribution features of soil microplastics show spatial heterogeneity. • Coastal weathered engineering geotextiles are a significant threat to marine health. Coastal tidal flats have received considerable attention in recent years, as they provide a direct channel for the discharge of terrestrial microplastics into the ocean. Land reclamation is occurring increasingly frequently in coastal tidal-flats; however, the environmental impacts of these activities remain unclear. Therefore, this pioneering study assessed the microplastic emission characteristics of reclamation geotextiles and performed a risk assessment accordingly. Morphological characterization of geotextile samples collected from five sites in Dongtai, China, provided evidence of sedimentary weathering. Based on several assumptions, the average abundance of microplastics in soil covered by geotextiles was estimated to reach 349±137 particles/kg dry weight, with the total microplastic load in the reclaimed area estimated to be 20.67±8.06 t. Compared with previous studies, this research demonstrates that coastal reclamation areas store a high concentration of microplastics, aggravating marine microplastic pollution. Moreover, conditional fragmentation model results revealed that the weathering and distribution characteristics of soil microplastics in coastal tidal-flat areas exhibit spatial heterogeneity, being more easily affected by natural factors (such as tides) than those in inland areas. As a result of tides, the annual discharge of geotextile-originating microplastics from the studied areas into the ocean was approximately 2465.52±960.77 t. These findings prove that the risks posed by engineering-microplastics are significant, indicating that further investigations are required on the precise laws of transfer and migration, as well as the toxicity mechanisms, in order to improve analytical techniques and policies in this field.     

Advances in airborne microorganisms detection using biosensors: A critical review

• Airborne microorganism detection methods are summarized. • Biosensors play an important role in detecting airborne microorganisms. • The principle of biosensor detection of airborne microorganisms is introduced. • The application and progress of biosensor in recent years is summarized. • The future perspectives of biosensor are identified. Humanity has been facing the threat of a variety of infectious diseases. Airborne microorganisms can cause airborne infectious diseases, which spread rapidly and extensively, causing huge losses to human society on a global scale. In recent years, the detection technology for airborne microorganisms has developed rapidly; it can be roughly divided into biochemical, immune, and molecular technologies. However, these technologies still have some shortcomings; they are time-consuming and have low sensitivity and poor stability. Most of them need to be used in the ideal environment of a laboratory, which limits their applications. A biosensor is a device that converts biological signals into detectable signals. As an interdisciplinary field, biosensors have successfully introduced a variety of technologies for bio-detection. Given their fast analysis speed, high sensitivity, good portability, strong specificity, and low cost, biosensors have been widely used in environmental monitoring, medical research, food and agricultural safety, military medicine and other fields. In recent years, the performance of biosensors has greatly improved, becoming a promising technology for airborne microorganism detection. This review introduces the detection principle of biosensors from the three aspects of component identification, energy conversion principle, and signal amplification. It also summarizes its research and application in airborne microorganism detection. The new progress and future development trend of the biosensor detection of airborne microorganisms are analyzed.     

Reutilize tire in microbial fuel cell for enhancing the nitrogen removal of the anammox process coupled with iron-carbon micro-electrolysis

• MFC promoted the nitrogen removal of anammox with Fe-C micro-electrolysis. • Reutilize pyrolysis waste tire as micro-electrolysis and electrode materials. • Total nitrogen removal efficiency of modified MFC increased to 85.00%. • Candidatus kuenenia and SM1A02 were major genera responsible for nitrogen removal. In this study, microbial fuel cells (MFCs) were explored to promote the nitrogen removal performance of combined anaerobic ammonium oxidation (anammox) and Fe-C micro-electrolysis (CAE) systems. The average total nitrogen (TN) removal efficiency of the modified MFC system was 85.00%, while that of the anammox system was 62.16%. Additionally, the effective operation time of this system increased from six (CAE system alone) to over 50 days, significantly promoting TN removal. The enhanced performance could be attributed to the electron transferred from the anode to the cathode, which aided in reducing nitrate/nitrite in denitrification. The H⁺ released through the proton exchange membrane caused a decrease in the pH, facilitating Fe corrosion. The pyrolyzed waste tire used as the cathode could immobilize microorganisms, enhance electron transport, and produce a natural Fe-C micro-electrolysis system. According to the microbial community analysis, Candidatus kuenenia was the major genus involved in the anammox process. Furthermore, the SM1A02 genus exhibited the highest abundance and was enriched the fastest, and could be a novel potential strain that aids the anammox process.     

背角无齿蚌AwPrx4A基因克隆及在PFOS和PFOA胁迫下的表达分析

硫氧化蛋白过氧化物酶(Prx)可以将过氧化氢、有机过氧化物和过氧化合物分别转化为水、乙醇和亚硝酸盐,是机体一种重要的抗氧化蛋白。为了探讨全氟辛烷磺酸(PFOS)和全氟辛酸(PFOA)对背角无齿蚌的胁迫效应,背角无齿蚌随机分为对照组、PFOS处理组和PFOA处理组;同时克隆出AwPrx4A全基因序列,分析PFOS和PFOA对AwPrx4A表达的影响。背角无齿蚌AwPrx4A cDNA全长由958个核苷酸组成,包含1个120 bp的5’非编码区,1个412 bp的3’非编码区和1个426 bp的开放阅读框,开放阅读框为由142个氨基酸组成的多肽链。PFOS和PFOA对背角无齿蚌的LC50分别为28.388和192.083 mg·L~(-1)。与对照组相比,浓度6.25、12.5、25、50和100 mg·L~(-1)的PFOS处理后,实验观察过程中肝胰腺中AwPrx4A mRNA水平分别增加了18.75%、2.85倍(P 0.05)、5.08倍(P 0.01)、5.52倍(P 0.01)和6.77倍(P 0.01)以上。与对照组相比,浓度50、100、200、400和800 mg·L~(-1)的PFOA处理后,实验观察过程中肝胰腺AwPrx4A mRNA水平分别增加了20.83%、2.21倍(P 0.01)、2.25倍(P 0.01)、3.19倍(P 0.01)和5.64倍(P 0.01)以上。与对照组相比,PFOS和PFOA处理后鳃中AwPrx4A mRNA水平分别增加了61.61%(P 0.05)和59.59%(P 0.05)以上。与对照组相比,PFOS和PFOA处理后血淋巴中AwPrx4A mRNA水平分别增加了47.42%和20.61%以上。结果表明,PFOS和PFOA处理对背角无齿蚌AwPrx4A表达具有明显的诱导作用,其原因与对抗PFOS和PFOA的胁迫效应有关。     

超临界水氧化法处理除草剂生产废水及热能的研究

利用 2 .2 L +1.7L超临界水氧化反应器对除草剂生产废水进行了处理实验。结果表明 :在温度 >60 0℃、压力 >3 2MPa,氧化反应时间为 180 s时 ,其 COD去除率达 98.1% ;氧化反应时间为 3 0 0 s时 ,其 COD去除率达 99.8%。处理后的排水达到国家规定的标准。同时利用氧弹法对该废水热值进行了测试 ,利用热平衡方程式对该试验装置的热效率进行了分析