Simultaneous determination of eight metabolites of organophosphate and pyrethroid pesticides in urine

A simultaneous method for quantifying eight metabolites of organophosphate pesticides and pyrethroid pesticides in urine samples has been established. The analytes were extracted using liquid–liquid extraction coupled with WCX solid phase extraction (SPE) cartridges. Eight metabolites were chemically derivatized before analysis using gas chromatography–tandem mass spectrometry (GC–MS–MS). The separation was performed on a HP-5MS capillary column (30 m × 0.25 mm × 0.25 µm) with temperature programming. The detection was performed under electro-spray ionization (ESI) in multiple reaction monitoring (MRM) mode. An internal standard method was used. The extraction solvent, types of SPE cartridges and eluents were optimized by comparing the sample recoveries under different conditions. The results showed that the calibration curves of the five organophosphorus pesticides metabolites were linear in the range of 0.2–200 μg/L (r² ≥ 0.992) and that of the three pyrethroid pesticides metabolites were linear in the range of 0.025–250 μg/L (r² ≥ 0.991). The limits of detection (LODs, S/N ≥ 3) and the limits of quantification (LOQs, S/N ≥ 10) of the eight metabolites were 0.008–0.833 μg/L and 0.25–2.5 μg/L, respectively. The recoveries of the eight metabolites ranged from 54.08% to 82.49%. This efficient, stable, and cost-effective method is adequate to handle the large number of samples required for surveying the exposure level of organophosphorus and pyrethroid pesticides in the general population.     

向家坝水库水温时空特征及其成因分析

水温是水环境评价的重要因子之一,其对水生态系统中的物理、化学和生物过程起着重要作用。为了分析向家坝水库运行期内的水温分布特征及其成因,本文建立CE-QUAL-W2立面二维水温模型,并基于2014年野外原位监测水温数据对模型可靠性进行了验证,应用其对水温分布进行数值模拟。研究发现向家坝水库水温存在季节性垂向分层,4~6月中上层水体(水深0~60 m)受入流水温和气温回升影响迅速升温,表底温差达10℃,垂向分层加剧;7、8月水库泄洪加快了库区水体交换,底层水温迅速升高,中间等温层水体厚度增加,表底温差减小在2℃内,9月以后表底温差进一步缩小,垂向水温分层逐渐消失。通过分析发现:气象要素、入流水温、电站取水口高程、泄洪方式成为影响向家坝水温分布的主要因素。入流水温的变化只影响水库水温波动范围,对其垂向分层结构影响较低;表层水温受气象条件影响显著;取水口高程和泄洪方式决定了水温的垂向结构。     

基于BML生产率指数的中国旅游业能源效率评价与影响因素研究

为减少旅游业能源消耗,实现旅游低碳绿色发展,探讨如何提高旅游业能源效率,基于包含非期望产出的方向性距离函数,首先构建了适应旅游业的Biennial Malmquist-Luenberger(BML)效率指数,以中国30个省市2005~2013年旅游业为实证对象,测度了其能源效率,9 a来旅游业能源效率变化源泉可被分解为全要素生产率、资本对能源替代效应、劳动对能源替代效应、能源结构效应和产出结构效应5项影响因素。研究发现:(1)中国旅游业能源效率整体上处于较低水平,旅游业能源效率可以扩张提升的比例较大。(2)整体上全要素生产率、资本对能源替代效应、劳动对能源替代效应和能源结构效应的提升能促进旅游业能源效率提高。(3)近3 a来劳动和资本投入的能源替代效应对旅游业能源效率变化的作用超过了全要素生产率。(4)区域层面上,东部地区旅游业能源效率高于中西部地区,主要由地区间旅游业对资本投入使用和能源消耗结构的差异造成。(5)整个样本期间,中国17个省市旅游业能源效率呈现下降趋势,背后的因素各有不同,旅游业资本替代效应是湖北省、福建省和浙江省等多数省市旅游业能源效率下降的主要因素,全要素生产率是安徽省、海南省、贵州省和甘肃省旅游业能源效率下降的主要原因。因此,合理利用投入的资源要素对旅游业低能耗发展至关重要,尤其是要发挥好资本对能源的替代效应,高效的资本配置能极大提高旅游能源效率。     

某石化废水的综合毒性评价及其处理工艺对毒性的削减规律研究

利用生物毒性测试对环境中的污染物进行生态风险评价,是目前风险评价中的研究热点。本研究以明亮发光杆菌(Photobacterium phosphoreum)、斜生栅藻(Scenedesmus obliquus)和大型溞(Daphina magna)为受试生物,对某石化厂废水的处理流程中5个主要单元出水的急性毒性进行了测试,分析了其急性毒性与理化指标间的相关性;同时,为了解不同处理单元毒性去除效果及主要毒性来源,结合毒性鉴别评价(toxicity identification evaluation,TIE)技术对各阶段出水的毒性削减及其主要致毒物质类别进行了分析。毒性测试结果表明,该废水处理厂对石化废水的毒性去除效果比较显著,其中进水对明亮发光杆菌、斜生栅藻和大型溞分别表现为中毒、高毒和剧毒,最终处理后出水的毒性分别为无急性毒、中毒和微毒,对毒性的去除效率分别为96.4%、74.3%和99.5%。TIE结果表明,石化废水中的主要致毒物质是非极性有机物和可滤型物质。本研究结果为石化废水的综合生物毒性评价提供了研究基础,为探讨废水生物毒性的去除提供了实例参考。     

Optimization of thermal performance of the parabolic trough solar collector systems based on GA-BP neural network model

The aim of this paper is to optimize the thermal performance (system output energy, thermal efficiency, and heat loss of cavity absorber) of parabolic trough solar collector (PTC) systems in order to improve its thermal performance, based on the genetic algorithm-back propagation (GA-BP) neural network model. There are a number of undefined problems, fuzzy or incomplete information and a complex thermal performance of the PTC systems. Therefore, the thermal performance prediction of the PTC systems based on GA-BP neural network model was developed. Subsequently, the metrics performances have been adopted to comprehensively understand the algorithm and evaluate the prediction accuracy. Results revealed that the GA-BP neural network model can be successfully used to predict the complex nonlinear relationship between the input variables and thermal performance of the PTC systems. The cosine effect has a great influence on the thermal performance; thereby the geometrical structure of the PTC systems was optimized. It was found that the optimized geometrical structure was beneficial to improve the thermal performance of the PTC system. In conclusion, the GA-BP neural network model has higher prediction accuracy than the other algorithm and it can be feasible and reliable.     

Elasticity Ratio of Resource Consumption and the Resource Consumption

Today the resources are becoming scarcer, which should not be regarded as unexhausted any more. Correspondingly, the production would be constrained by the scarcity of resources clearly. Then the economic researchers would pay much more attention to reducing the consumption of natural resources in the future. Therefore this paper brings foreword the conception of elasticity ratio of resource consumption based on the concept of elasticity and analyzes the relationship between the parameters. For the certain relationships between the elasticity ratio of resource consumption and resource consumption, this paper will try to reveal, to keep economy growing while resource consumption reducing, what conditions should be met as to the relationships among resource productivity, its growth rate, energy saving efficiency, economic growth rate and elasticity ratio of resource consumption. This paper proves the relationship between the China＇s energy consumption and economy growth using statistic data from 1978 to 2003.     

Clough—Penzien参数选取在公共工程项目管理决策中的应用

Clough-Penzien模型的参数合理选取在公共工程项目管理的前期设计决策中起着至关重要的作用,不仅关系公共工程项目安全性,也关系到公共项目管理的经济性.分析中参照国际知名学者的取值方法,给出了与我国规范相适应的模型设计参数.研究表明:合理的模型设计参数应当对场地条件(软土、硬土)有明显的区分度,为应用随振动理论进行公共工程项目抗震设计及管理分析提供了依据,并成功运用到河南电视塔项目的管理实施中.     

损伤状态下变电构架可靠性分析的实用模型

按照结构形式对常见的变电构架进行分类,根据其中受损杆件的不同损伤类型,建立了截面面积损伤率和截面惯性矩损伤率之间的相关关系表达式,并以此来修改损伤杆件的单元刚度矩阵.在随后的结构可靠度分析中,采用响应面法和Monte Carlo法与有限元程序结合,使构件截面几何参数产生大量不同损伤水平的样本,从而得到不同损伤水平下各类变电构架结构的响应及其可靠度指标的变化规律,所得结论可供变电构架的安全监控参考.     

水罗兰对不同密度铜绿微囊藻抑制作用的研究

通过水罗兰与铜绿微囊藻共培养12 d,研究了水罗兰对低密度、高密度的铜绿微囊藻的抑制作用.结果表明,铜绿微囊藻初始光密度(OD680)分别为0.026、0.257时,水罗兰可显著抑制铜绿微囊藻的生长,使其OD680降低.水质检测结果显示,培养过程中共培养液营养盐浓度一直处于较高水平,铜绿微囊藻OD680降低及生长停滞并非因营养不足所引起.通过实验证实了水罗兰可作为铜绿微囊藻水华控制的生态修复物种.     

再生水中内分泌干扰物质的存在及处理现状

随着污水回用大力开展,人们与再生水的接触机会增加,必须保障再生水的水质安全.资料调研发现,作为再生水水源的污水处理厂出水中含有多种内分泌干扰物质,活性炭吸附、超滤、高级氧化技术及膜技术可有效去除再生水中的内分泌干扰物质,但鉴于经济和管理上的困难,目前仍不能全面推广.中国常用的澄清(混凝沉淀)/过滤工艺不能有效去除污水处理厂二级出水中的内分泌十扰物质,这对接触人群的健康产生潜在威胁,对生物种群也有一定的影响.生物处理方法未来有可能成为去除内分泌干扰物质很有前途的方法.