安全燃放烟花

<正>重要提示:A、严禁携带鞭炮烟花乘坐车、船、飞机等交通工具;B、燃放鞭炮烟花应完全遵守当地政府的规定;C、儿童必须在大人的指导下燃放;D、燃放时一定要选择室外,空旷的环境。     

Some extensions on risk matrix approach

This paper introduces the basic concepts of risk as the research background and reviews a widely applied semi-quantitative tool for risk assessment, namely risk matrix approach (RMA) as well as its typical variations. Based on the deep analysis of the essence and defects of RMA, some extensions on risk matrix approach are presented and their superiorities compared with the related quondam methods are demonstrated by a case study. The features and advantages of the new extensions are discussed and the prospects of the future study are addressed.     

红色非硫光合细菌的生长特性研究

红色非硫光合细菌菌种从城市污水处理厂活性污泥中分离得到,对红色非硫光合细菌的生长规律及其影响因素进行研究,试验表明在进行污水处理时所用的红色非硫光合细菌的最佳培养条件为接种量2%,pH7～8,光照强度为1500lx,光照厌氧条件下培养3～5d。这为红色非硫光合细菌应用于染料有机化工废水处理的进一步研究提供了理论依据。     

猪粪、木屑混合物蚯蚓堆制处理中蚓体Cu、Zn富集的影响因素

采用室内接种法,以赤子爱胜蚓（Eisenia fetida）构建生物反应器,研究猪粪、木屑混合物的蚯蚓堆制处理中,蚓体的生长状况及影响其Cu、Zn富集的主要因素。结果表明,接种密度为40 mg.g-1、湿度为75%同时有利于蚯蚓生长和基质消耗;温度为15℃对蚓体质量增加最有利,而温度为20℃最利于基质消耗;m（猪粪）∶m（木屑）为6∶4可同时利于蚓体质量增加和基质消耗。适宜的接种密度（48 mg.g-1）、湿度（70%）、温度（15℃）及较高比例的碳源辅料〔m（猪粪）∶m（木屑）为6∶4〕有利于蚓体对Cu的吸收和富集;低接种密度和高比例碳源辅料有利于蚓体对Zn的吸收,湿度和温度对蚓体Zn含量无显著影响,但蚓体Zn富集量分别在接种密度48 mg.g-1、m（猪粪）∶m（木屑）为6∶4、湿度75%和温度15℃条件下达最大。     

超高效液相色谱串联质谱法检测鱼体中的全氟化合物

采用超高效液相色谱-串联质谱联用法(UPLC-ESI-MS/MS),建立了检测1种贝类和2种鱼类的肌肉组织中11种全氟化合物(PFCs)的分析方法.采用碱液消解做为样品前处理法,选Carbon/NH2双层SPE小柱做为净化小柱,并以ACQUITY UPLC BEH C18为分析柱,甲醇和2 mmol.L-15%甲醇乙酸铵溶液为梯度淋洗液.所选定的11种全氟化合物在6 min内就可以达到良好分离,外标法定量.平均回收率在72.1%—93.6%之间,相对标准偏差在0.6%—9.5%之间,实际检出限在3.4—26.7 pg.g-1.     

Hydrogeochemical processes identification and groundwater pollution causes analysis in the northern Ordos Cretaceous Basin,China

It is necessary to identify the hydrogeochemical processes and analyze the causes of groundwater pollution due to the lack of knowledge about the groundwater chemical characteristics and the endemic diseases caused by groundwater pollution in the northern Ordos Cretaceous Basin. In this paper, groundwater chemical facies were obtained using the piper trilinear diagram based on the analysis of 190 samples. The hydrogeochemical processes were identified using ionic ratio coefficient, such as leaching, evaporation and condensation. The causes and sources of groundwater pollution were analyzed by correspondence analysis, and the spatial distribution and enrichment reasons of fluoride ion were analyzed considering the endemic fluorosis emphatically. The results show that leaching, evaporation and condensation, mixing, and anthropogenic activities all had significant impact on hydrogeochemical processes in the study area. However, cation exchange and adsorption effects were strong in the S2 and S3 groundwater flow systems, but weak in S1. Groundwater is mainly polluted by Mn and COD_Mn in the study area. The landfill leachate, domestic sewage, and other organic pollutants, excessive use of pesticides and fertilizers in agriculture, and pyrite oxidation from long-term and large-scale exploitation of coal are the sources of groundwater pollution. The S1 has the highest degree of groundwater pollution, followed by S2 and S3. High concentration of fluoride ion is mainly distributed in the north and west of study area. Evaporation and condensation and groundwater chemistry component are the most important causes of fluoride ion enrichment. The results obtained in this study will be useful for understanding the groundwater quality for effective management and utilization of groundwater resources and assurance of drinking water safety.     

Tolerance of the black soldier fly,Hermetia illucens (Diptera: Stratiomyidae) to pH value,pungency, and NaCl in foodstuffs北大核心CSCD

The black soldier fly (BSF), Hermetia illucens, has been considered impressive as a saprophagous insect, for its high ability to convert organic waste to insect protein and oil. Hence, it has been regarded by the municipal administration that BSF might be used as a medium to deal with food waste. However, food waste in China has been characterized as having a high salt content, oily, and very spicy, which usually renders them unsuitable for animal feeding. In order to assess the technological reliability for BSF conversion of food waste, the tolerance of BSF for pH values, pungency, and NaCl in food were investigated in this case. Results indicated that strong acidity (pH = 3) was not good for the development of BSF, demonstrating less body weight and eclosion failure. In contrast, strong basicity (pH = 11) seemed to be beneficial for larval development with high biomass, and there is no difference in pupation, eclosion, larval biomass, and livability for BSF for pH values between 5 and 11. With regards to salinity, liner correlations were observed; the salinity strength increased along with the extension of the larval phase, but body weight, pupation rate, emerging rate, and livability were still consistent under 6% density of salinity. Influence of pungency on BSF larvae has not yet been found. In conclusion, BSF showed a high tolerance to pH value, pungency, and salinity in foodstuffs. Hence, it is expected that food waste from common environments might have a lesser possibility to cause negative effects on BSF development, which could be good news for BSF conversion technology. As for the process design, the conclusion suggested that food waste optimum for BSF is expected to be alkaline and low-salt, which would be helpful to improve the efficiency and harvest. © 2018 Science Press. All rights reserved.     

基于YanMeng台风风场的输电线路极值风速推算方法

极值风速作为输电线路抗风设计的重要参数,对结构的强度和年限标准意义重大。为克服采用观测资料直接推算极值风速的缺陷,给出了一种沿海地区输电线路极值风速推算的数值方法,即以台风风场物理方程为基础,利用历史台风进行反演,验证风场模型的适应性,随后结合台风年鉴,采用模拟圆和Monte Carlo抽样模拟进行研究点最大风速序列计算,并根据极值III型Weibull分布进行极值风速的推算。最后以海口市为例,对该极值风速推算方法进行详细阐述,推算了海口市近100a内重现期的极值风速,并与观测统计值进行对比,研究发现本文模拟效果较好,可以作为沿海地区输电线路抗风设计的理论参照。     

蜡染印花工艺废水处理设计及运行

设计运行了整个蜡染印花废水处理工程,皂化脱蜡废水松香回收新工艺,即采用两步调pH法-周边自重力进水法,回收率可达98%以上;机械洗蜡废水分流后经双级气浮处理,蜡回收率和处理水回用率可达90%以上;洗蜡废水经蜡回收后出水与其他废水混合后经初级混凝沉淀-水解酸化-好氧生化(A/O工艺)-辐流沉淀组合工艺处理,出水ρ(COD)均值约为130 mg/L,ρ(NH3-N)为3.36 mg/L,然后进入市政管网进行深度处理。     

基于主成分分析和神经网络的事故预测方法及应用

为解决人工神经网络(ANN)对复杂系统进行事故预测建模时,易导致网络复杂,降低网络性能和增大预测误差的问题,提出一种基于主成分分析法(PCA)的ANN事故预测方法。介绍PCA法和ANN的基本理论,阐述基于PCA法的ANN事故预测模型及其预测步骤,即在利用ANN预测之前,先用PCA法分析事故影响指标,将多个指标转化为少数几个能反映原始信息的互不相关的综合变量(主成分),然后以这些变量作为输入进行ANN建模,从而达到简化模型,提高网络性能和计算精度的目的。以煤矿事故预测为例,进行应用和对比研究。结果表明:基于PCA的ANN事故预测相对误差小于3%,而直接运用ANN方法预测的相对误差达到5%。这说明,对复杂安全系统进行事故预测时,基于PCA法的ANN预测方法是更可行的。