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。     

Occurrence and human dietary assessment of sulfonamide antibiotics in cultured fish around Tai Lake,China

As the most important fishery medicines, sulfonamides are widely used to prevent diseases caused by pathogens in aquaculture. However, relatively little is known about the residues and dietary risks associated with cultured fish around Tai Lake. In the present study, a sampling strategy for a complete aquaculture period was conducted. Specifically, 12 selected sulfonamide antibiotics were measured among 116 fish samples recruited from four sampling periods, four species, four areas, and 18 fish ponds. All 12 antibiotics were detected at detection frequencies of 4.31–28.45%. Total sulfonamides were detected in 77.59% of the fish samples, with 57.76% of fish samples containing from 0.1 to 10 μg kg^?1. Sulfadiazine (SDZ), sulfamethoxazole (SMZ), sulfamethazine (SDD), and sulfamonomethoxine (SMM) were the main types of antibiotics used, and these were present at high concentrations (>100 μg kg^?1) with high occurrences, especially in the middle of the aquaculture season. Dietary assessment showed that residual antibiotics in all fish that were being sent to market were far below the maximum residue limit (MRL) of total sulfonamides and that there was almost no risk associated with fish consumption. The results of the present study will facilitate development of effective measures to produce safe aquatic products and meaningful suggestions for consuming aquatic products.     

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.     

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.     

两株氢噬胞菌的萘降解特性分析

对两株分离自内蒙古乌梁素海的氢噬胞菌X32和X12的培养条件和萘降解特性进行研究。实验结果表明:菌株X32和X12的最适生长pH为7.0,最适生长温度为30~35℃,最适盐度w(NaCl)为1%;当初始萘质量浓度为3 500 mg/L时,对数生长期的菌株X32对萘的降解活性可达53.9 nmol/(mg·min),而菌株X12可达34.8 nmol/(mg·min);菌株X32在培养48 h后进入稳定期,60 h时萘降解率达91.43%;菌株X12在培养60 h后进入稳定期,90 h时萘降解率达93.93%。氢噬胞菌X32和X12是两株具有较高应用价值的多环芳烃降解细菌。     

Study on low-temperature plasma γ-Al2O3 catalytic viscosity reduction of polyacrylamide solution

The wide use of polyacrylamide (PAM) in enhanced oil recovery generates a large amount of polymer-bearing wastewater featuring high viscosity and difficult viscosity reduction, making the treatment of wastewater increasingly difficult. In this paper, the experimental study on reducing the viscosity of wastewater containing polyacrylamide by using the plasma generated by dielectric barrier discharge (DBD) and the synergistic effect of catalyst γ-Al₂O₃ is carried out. The law of plasma reducing the viscosity of wastewater containing polyacrylamide is studied under the different conditions of amounts of γ-Al₂O₃ catalyst, discharge voltages, and initial concentrations of polyacrylamide-containing wastewater. The mechanism of viscosity reduction of polyacrylamide is studied through environmental scanning electron microscope (ESEM), Fourier transform infrared (FTIR) spectrometer, and X-ray photoelectron spectroscopy (XPS). The results show that the catalytic viscosity reduction is the best when the discharge voltage is 18 kV and the discharge time is 15 min. With the increase in the input of the γ-Al₂O₃ catalyst, the viscosity of the PAM solution decreases gradually. When the amount of γ-Al₂O₃ is 375 mg, the shear rate changes from 0.5 1/sec to 28 1/sec, and the viscosity of the solution containing polyacrylamide changes from 434.5 mPa·s to 40.2 mPa·s. The viscosity reduction rate of the PAM solution is 90.7%. After the catalytic viscosity reduction, the functional groups of polyacrylamide do not change much. The elemental composition of the catalyst has not changed, which is still Al, C, and O.

     

高海拔水电水库温室气体的排放特征——以雅鲁藏布江藏木水库为例

水电水库是大气温室气体的重要来源,在一定程度上影响着区域气候变化.然而目前关于水库温室气体排放的估算仍然存在很大的不确定性,一方面原因是缺失了世界各地山区水库的数据,另一方面原因是未将受水库影响的上下游河道考虑在内.本研究重点关注雅鲁藏布江流域水电水库——藏木水库丰枯水期CO2、CH4和N2O的溶存浓度与扩散通量的时空...     

供水管网水力模型的建立与应用研究现状

主要针对供水管网水力模型的研究发展现状,介绍了供水管网水力模型的建立过程,以及模型的应用现状,为进一步深入研究和开发供水管网水力模型提供参考.     

阳朔典型铅锌矿区流域土壤重金属空间分布特征及来源解析

以广西阳朔县典型铅锌矿为研究对象,对其流域内水系表层土壤中10种金属元素（Cr、Mn、Ni、Cu、Zn、As、Cd、Sb、Hg和Pb）含量进行分析测定.综合运用Pearson相关性分析、主成分分析（PCA）和正定矩阵因子分解法（PMF）等多种方法,识别和定量解析污染源及贡献.在168个表层土壤样本分析数据中,土壤中Zn、Cd、Hg和Pb的含量平均值高于国家土壤环境质量标准,Sb、Cd、Cu、Pb和Zn的含量平均值分别比当地背景值高出约1.01、5.50、3.29、9.11和10.67倍,表明重金属在表层土壤中已经富集.土壤重金属地累积指数（I_geo）结果显示,研究区污染最严重的是Hg,其次为Pb、Zn和Mn.相关性分析和主成分分析结果表明,区内表层土壤中金属污染来源较为复杂,且明显受到人为活动的影响.Cu、Zn、Cd、Sb、As和Pb主要来源于采矿活动;Hg、Cr和Ni由土壤母质控制;Mn和Cd主要来源于工矿与农业活动.PMF模型分析结果表明,表层土壤中金属来源分为3种,工矿活动源、自然源和工矿及农业活动复合源的综合贡献率分别为58.0%、13.5%和28.6%.Ni、Cu、Zn、As、Sb、Hg和Pb以工矿活动源为主,贡献率分别为46.9%、89.6%、45.5%、67.8%、99.3%、58.3%和96.8%;母岩矿物风化和降雨冲刷等自然源对Cr的相对贡献率达到44.6%,对Ni和Hg也分别有23.2%和21.0%的相对贡献率;工矿及农业活动的复合源对Mn和Cd的相对贡献率分别达到75.4%和70.4%.