高效液相色谱法分析水中痕量多环芳烃

本文利用高效液相色谱法测定水中痕量多环芳烃（ＰＡＨｓ）。以二氯甲烷作溶剂,超声提取水中痕量ＰＡＨｓ;甲醇、水作流动相,梯度淋洗,用程序可变波长荧光检测器测定。ＰＨＡｓ浓度为０．００７＝０．６μｇ·ｍｌ＾－１范围时,线性相关系数均在０．９９９９以上;峰高、峰面积的相对标准偏差（ｎ＝１０）分别为１．０１－１．８５％,２．００－３．９４％;检测限（Ｓ／Ｎ＝２）为３．１－２３．０ｐｇ;实际水样的加标回收率     

用铁泥制备高效无机絮凝剂聚硅酸铁及其絮凝性能研究

研究了以铁泥、硅酸钠为原料，制备高效絮凝剂聚硅酸铁（PSF）的方法，确定了合理的生产工艺和操作条件。并对絮凝剂PSF处理工业废水的絮凝性能进行了研究，探讨了PSF处理工业废水的反应机理。结果表明，PSF具有良好的絮凝性能，是一种比聚合硫酸铁（PFS）性能更优良的絮凝剂。     

开拓有机高分子絮凝剂在炼厂污水处理中的应用

通过有机高分子絮凝剂在炼厂污水处理中的应用试验，表明有机高分子絮凝剂各方面性能均优于单一的无机盐絮凝剂。开拓有机高分子絮凝剂在炼厂污水处理中的应用，是当前提高污水外排综合合格率的一个重要手段。     

河北丰宁坝上高原寒区抗灾补墒灌溉基本途径

我国是世界上高原众多的国家,高原面上土地资源丰富,而长期干旱缺水困扰高原农业的发展,当前生产水平低。“八五”期间采用半移动式喷灌获得成功,粮食单产可从现在的每公顷７５０ｋｇ,提高到５２５０ｋｇ,大多数作物品种一年便可收回投资成本。巨大的增产潜力,对于我国粮食生产供应态势趋紧具有特殊意义。     

密封消解法测定高盐废水COD时的最佳实验条件选择

通过对密封消解法测定高盐废水COD的消解时间、氧化剂浓度、掩蔽剂比例等实验条件研究 ,确定了适合高盐废水COD测定的最佳实验条件 ,并用混配水样和实际水样进行验证。研究结果表明 :消解时间为 30min ,掩蔽剂比例为 10 1,对不同范围的COD采用不同浓度的氧化剂 ,混配水样和实际水样中的氯离子对COD测定干扰很小 ,方法的准确度较好 ,相对误差 <8 3% ,加标回收率 >92 %。     

思小高速公路高填深挖改桥隧方案的环境影响分析

结合思茅一小勐养高速公路沿线具体的自然环境，通过分析高填深挖路段的具体情况，对公路选线过程中遇到的高填深挖与桥梁、隧道方案的比选从生态设计的理念方面进行了具体的环境影响分析。得出该公路的高填深挖改桥梁、隧道方案能够有效地减小公路建设对西双版纳热带雨林区的牛态环境影响，较好的与周围的环境协调，与自然景观融为一体。     

环氧丙烷生产中高浓度氯化物废气治理与综合利用技术的研究

通过物理化学方法，研究治理与综合利用环氧丙烷生产中排放的高浓度氯气、有机氯化物废气的工艺，在小试、中试的基础上，确定了生产工艺条件和设备，并已投入实际运行，取得了令人满意的效果，开创了一条综合利用废气的新途径     

流加发酵及添加L-半胱氨酸对产朊假丝酵母高密度培养合成谷胱甘肽的影响

通过7L罐考察了不同葡萄糖流加速率以及添加L-半胱氨酸对产朊假丝酵母(Candida utilis)WSH02-08高密度发酵生产谷胱甘肽(GSH)的影响.结果表明,在恒定速度(5.5g L-1h-1)流加葡萄糖30h的基础上,发酵45h后细胞干重最高达到73g L-1,此时向发酵罐中一次性添加L-半胱氨酸40mmol L-1,最终GSH产量和胞内GSH含量分别达到了1458mg L-1和2.26%.图4表1参11     

Quantification of Polycyclic Aromatic Hydrocarbons in Tea and Coffee Samples of Mumbai City (India) by High Performance Liquid Chromatography

This paper describes a method for quantification of sixteen polycyclic aromatic hydrocarbons (PAHs) in tea and coffee samples of Mumbai City with the help of reversed phase high performance liquid chromatography with UV-VIS detector. This method is based on liquid–liquid extraction followed by clean up with C-18 cartridge. Concentration of total PAHs in different brands of tea and coffee samples varied from 18.79 to 31.37 μg/L and from 16.47 to 18.24 μg/L, respectively. Mean concentration of total PAHs was 27.56 μg/L in tea and 17.20 μg/L in coffee. Recoveries at different concentration levels were higher than 68% in samples of tea and coffee. Detection limit was found to be low (0.0006 ng) for anthracene and highest (0.174 ng) for naphthalene with relative standard deviation between 0.4%–7%.     

A Parallel Computation Tool to Enable Dynamic Sensitivity and Model Performance Analysis of APEX: Evapotranspiration Modeling

Global sensitivity analysis can be used for assessing the relative importance of model parameters on model outputs. The sensitivity of parameters usually indicates a temporal variation due to variation in the environmental conditions (e.g., variation in weather or plant growth). In addition, the size of averaging window by which the outputs of a model are aggregated or averaged may impact parameter sensitivities. In this study, temporal variation of parameters sensitives, model performance, as well as the impact of the size of time‐averaging window on evapotranspiration (ET) prediction using the Agricultural Policy/Environmental eXtender (APEX) model are investigated. To achieve these goals, an open‐source package named PARAPEX was developed in R and used to perform dynamic sensitivity and model performance analysis of APEX using parallel computation. PARAPEX reduced the computation time from 5,939 to 379 s (using 20 and 1 computation nodes, respectively). The sensitivity analysis results indicated the parameters accounting for the reducing effect of plant cover on evaporation from the soil surface, the effect of soil on the plant root growth, and the effect of cycling and transformation dynamics of organic matter at the top soil layer as the top sensitive parameters based on the mean daily simulated ET and the Nash–Sutcliffe model performance measure. The dynamic performance analysis indicated poor ET predictions by APEX during the growing seasons. Editor's note : This paper is part of the featured series on Optimizing Ogallala Aquifer Water Use to Sustain Food Systems. See the February 2019 issue for the introduction and background to the series.