17β-Estradiol mineralization under field and laboratory incubations

Mineralization studies of natural steroid hormones (e.g., 17β-estradiol, E2) are performed in environmental incubators, usually under a constant temperature such as 20°C. In this paper, we present a microcosm protocol that quantified the mineralization of E2 in soils under field temperatures. The nine agricultural soils tested had a wide range of soil organic carbon (1.1 to 5.2%) and clay (9 to 57%) contents. The calculated time over which half of the applied E2 was mineralized (E2-½) ranged from 299 to 910 d, and total E2 mineralization at 48 d (E2-TOT48) ranged from 4 to 13%. In subsequent laboratory incubations, the same soils were incubated under a constant temperature of 20°C, as well as under cyclic temperatures of 14.5°C (14 h) and 11.5°C (10h), which was within the temperature extremes observed in the field microcosms. E2-½ ranged from 157 to 686 d at 20°C and from 103 to 608 d at the cyclic temperatures, with the E2-TOT48 ranging from 6 to 21% at 20°C and from 7 to 30% under cyclic temperatures. Despite the overall 6.75°C lower mean temperatures under the cyclic versus constant temperatures, E2 mineralization was stimulated by the temperature cycles in three soils. Regardless of the incubation, the same loamy sand soil always showed larger E2 mineralization than the other eight soils and this loamy sand soil also had the smallest E2 sorption. Current modeling approaches do not take into consideration the effects of temperature fluctuations in the field because the input parameters used to describe degradation are derived from laboratory incubations at a constant temperature. Across the eight soils, E2-½ was on average 1.7 times larger and E2-TOT48 was on average 0.8 times smaller under field temperatures than under a constant 20°C. Hence, we conclude that incubations at 20°C give a reasonable representation of E2 mineralization occurring under field conditions to be expected in a typical Prairie summer season.     

二级絮凝-活性炭处理实验室无机废水的效果

采用两级絮凝-活性炭吸附法处理实验室无机废水,研究了该方法对重金属、硫化物、挥发酚、苯胺和浊度等的处理效果。结果表明,在絮凝温度、搅拌、曝气及污水pH值调节范围一定的情况下,硫酸亚铁(FeSO4.7H2O)与聚合氯化铝(PAC)结合的二级絮凝方法能有效地降低污水中的重金属和硫化物等污染物。二级絮凝处理中,使用聚合氯化铝(PAC)对一级絮凝中去除效果不好的Cr6+的去除效果显著,去除率达到90%以上;活性炭对苯胺和硫化物的去除效果最佳,去除率都在90%以上。同时,该方法还有效降低了废水的浊度和色度。因此,是一种快速、低成本和工艺简单的处理实验室废水的有效途径。     

能力验证是环境监测质量保证的重要环节

能力验证是近几年来开展的一项新的技术活动,是环境监测质量保证的重要环节.有组织、有计划的开展环境监测系统实验室的能力验证来确定实验室的能力并确保实验室维持较高的检测水平,也是保证环境监测数据具有科学性、准确性、可比性的必要措施.本文对此进行了论述.     

Health implications of the Tumaco earthquake, Colombia, 1979

A retrospective study of the effects of the Tumaco earthquake of 1979 shows a smaller number of deaths and injuries than in earthquakes of similar magnitude that have occurred elsewhere, which is probably related to the type of building. Most of the deaths were caused by a tsunami. Proportionally the mortality was higher in the 0 to 4 age group. Among the injured, most of the lesions were minor. Morbidity was higher in the over 45 years age group, and lower among the "under-fives." There was an evident need for a simple "disaster medical record card." Coordination among the different relief agencies could have been better.     

多因素耦合条件下硫化矿自燃神经网络动态预测模型研究

硫化矿石自燃是多种因素、多场耦合综合作用的结果,是一典型的非线性问题。笔者应用人工神经网络技术,以Matlab软件为平台,通过现场调查和理论分析,建立了矿石含硫量、通风强度、环境温度3因素与硫化矿石自燃之间的预测模型;通过数据样本学习与部分现场监测数据相结合进行模拟,研究表明预测数据与实测结果基本吻合,误差控制在10%以内,取得了较好的效果。该研究为预防硫化矿石自燃提供一个新的思路和方法,具有一定的理论意义和应用价值。     

序批式动态膜生物反应器处理低碳氮比废水的试验研究

以序批式动态膜反应器为研究对象,对其处理低碳氮比废水的效果进行了试验研究.试验温度为19 ～ 21℃,MLSS为3～5g/L;好氧阶段溶解氧质量浓度为2 ～4 mg/L,厌氧阶段溶解氧质量浓度为0.2～0.5 mg/L;水力停留时间共12 h,其中好氧阶段8h,厌氧阶段4h.结果表明:当进水COD、TN和NH4+-N质量浓度分别为250～300mg/L、103 ～ 156 mg/L和92～140 mg/L时,反应器对上述污染物表现出较高且稳定的去除效率,COD、TN和NH4+-N平均去除率分别达到76.15％、82.16％和90.13％.同时,反应器系统中污泥的比硝化速率与常规处理装置中的活性污泥相比较高,以NH4+-N的降解量计为0.101 d-1,以NO3--N的积累量计为0.091 d-.     

振动实验室比对探讨

目的把实验室比对应用到振动实验室。方法参考测量实验室比对的成熟方法,分析振动环境试验的特点及其与普通测量试验比对的区别。结果指出一般的测试实验室被测量是样品的客观属性,但是振动实验室的被测量由各实验室自己产生的振动及其时域频域属性。提出了振动实验室开展比对的初步方案,包括样品设计、试验项目和条件、比对试验组织、比对参数处理等。结论实验室比可以用于振动实验室,对评价振动实验室能力、评价多个振动实验室能力分布有重要作用。     

Risk assessment of safety level in university laboratories using questionnaire and Bayesian network

Accidents in university laboratories not only create a great threat to students’ safety but bring significant negative social impact. This paper investigates the university laboratory safety in China using questionnaire and Bayesian network (BN) analysis. Sixteen influencing factors for building the Bayesian net were firstly identified. A questionnaire was distributed to graduate students at 60 universities in China to acquire the probability of safe/unsafe conditions for sixteen influencing factors, based on which the conditional probability of four key factors (human, equipment and material, environment, and management) was calculated using the fuzzy triangular theory and expert judgment. The determined conditional probability was used to develop a Bayesian network model for the risk analysis of university laboratory safety and identification of the main reasons behind the accidents. Questionnaire results showed that management problems are prominent due to insufficient safety education training and weak management level of management personnel. The calculated unsafe state probability was found to be 65.2%. In the BN analysis, the human factor was found to play the most important role, followed by equipment and material factor. Sensitive and inferential analysis showed that the most sensitive factors are personnel incorrect operation, illegal operation, and experiment equipment failure. Based on the analysis, countermeasures were proposed to improve the safe management and operation of university laboratories.     

大型气候实验室气流组织仿真分析

目的对大型气候实验室气流组织进行仿真分析,获得合理的气流组织设计方案。方法首先通过分析旋流风口的特性,建立旋流风口CFD简化模型,然后设计大型气候实验室气流组织形式,最后对极端低温和极端高温工况下不同温度、送风量和送风角度时的气流组织进行CFD仿真分析。结果低温工况时,地面温度升高将导致室内温度和温度不均匀度整体上升;高温工况时,气流难以抵达地面,且地面温度对高度5 m以下区域有显著影响,对5 m以上空间影响不显著,应增大送风角度,使送风射流方向尽可能向下,以改善地面附近温度均匀性。结论气流组织仿真分析方法和气流组织设计方案适用于大型气候实验室设计。     

瀑河水库蓄水后水质变化预测

瀑河水库拟作为南水北调中线的一个调蓄水库。在瀑河水库淹没区内布10个采样点，分别采集0－20、20－40、40－60cm深度的土壤，实验室中模拟水库蓄水淹没情景，连续监测“库水”水质，试验表明：蓄水初期土壤中营养物质溶出对库水水质有一定影响，且随着时间的推移，各营养物质溶出的速度及浓度变化不同，蓄水16天后浓度趋于平稳，库水水质达到地表水环境质量Ⅱ类标准，将模拟值作为初始值，利用WQRRS模型进行运行期水质预测，得到结论为：（1）当调水水质为Ⅰ和Ⅱ类标准值的中值、流域汛期径流水质为Ⅱ－Ⅴ类时，预测库水水质为Ⅱ－Ⅲ类；（2）当调水水质为Ⅱ类标准值的下限值、流域汛期径流水质为Ⅱ－Ⅴ类时，预测库水水质大多为Ⅲ类，部分情况下为Ⅳ类，且N、P超标；（3）当调水水质为Ⅰ和Ⅱ类标准值的中值、流域径流水质为Ⅱ类时，在2010、2020和2030水平年水库水质全部为Ⅱ类；当调水水质为Ⅱ类标准值的下限值时库水水质则为Ⅲ类。