聚丙烯中空纤维膜萃取水溶液中铜离子的研究

研究了聚丙烯中空纤维膜萃取二(2-乙基己基)膦酸(D2EHPA)水溶液中铜离子的工艺条件.结果表明,两相流速、膜面积对萃取率基本无影响;而水溶液的pH值和有机相初始铜离子浓度的改变使萃取率在40%-99%之间变化.整个萃取过程的传质阻力主要来源于D2EHPA和 Cu2 的界面配位络合反应阻力,铜浓度比较高时,传质阻力与铜浓度无关;而当铜浓度降低时,传质阻力随着铜浓度的降低而增大.     

居住区地下车库噪声在建筑群间的传播和影响模拟计算

针对城市居住区2种典型的建筑布局,结合随机点声源模型,对居住区内地下车库噪声影响进行了分析计算.通过实测值和预测值的比较,该预测模型精度较好.运用该模型预测规划与新建的居住区地下车库的噪声的影响,可为城市小区建设规划中有效控制噪声污染提供科学依据.     

长江流域点源氮磷营养盐的排放、模型及预测

通过分析1985～2003年长江流域向河口/东海排放的点源营养盐的时空变化规律,建立长江点源营养盐排放模型,并预测2020年长江流域点源氮磷排放情况.模型基于人口密度、国内生产总值、人均氮磷排放量、以及污水处理率等因子,在99%的置信度上,氮磷模型的方差解释量分别达到92.3%及93.2%.基于此模型预测2020年长江流域点源氮排放量将达到(95 9±6 6)×104t,点源磷排放量达到(12.3±0.6)×104t.此外,研究结果进一步表明,点源营养盐通量仍然是长江输送营养盐总量的主要部分,是影响河口/近海水质的主要因素.     

Selective extraction and separation of Fe, Mn oxides and organic materials in river surficial sediments

In order to investigate the adsorption mechanism of trace metals to surficial sediments （SSs）, a selective extraction procedure was improved in the present work. The selective extraction procedure has been proved to selectively remove and separate Fe, Mn oxides and organic materials （OMs） in the non-residual fraction from the SSs collected in Songhua River, China. After screening different kinds of conventional extractants of Fe and Mn oxides and OMs used for separation of heavy metals in the soils and sediments, NH2OH .HCl （0.1 mol/L） ＋ HNO3 （0.1 mol/L）, （NH4）2C2O4 （0.2 mol/L） ＋ H2C2O4 （pH 3.0）, and 30% of H2O2 were respectively applied to selectively extract Mn oxides, Fe/Mn oxides and OMs. After the extraction treatments, the target components were removed with extraction efficiencies between 86.09%--3.36% for the hydroxylamine hydrochloride treatment, 80.63%- 101.09% for the oxalate solution extraction, and 94.76%-102.83% for the hydrogen peroxide digestion, respectively. The results indicate that this selective extraction technology was effective for the extraction and separation ofFe, Mn oxides and OMs in the SSs, and important for further mechanism study of trace metal adsorption onto SSs.     

瓦斯抽采PC-CAS基封孔材料优化及其膨胀作用分析*

为了研制以硅酸盐/铝酸盐水泥、生石灰、生石膏为主的PC-CAS基封孔材料,采用正交试验优化材料配比、开展膨胀力研究,并用扫描电镜观测料-煤胶结形貌。研究结果表明:材料的最优配比为A2B2C4,其具备优良的流动性、强度及致密性,造浆量达2 100 mL/kg;PC-CAS基材料具有显著的膨胀性,其膨胀力随时间先增大而后趋于稳定,并且该膨胀力随着径向约束的提高而增大;相比于FP材料,PC-CAS基材料产生的膨胀力能够显著降低材料-煤岩界面的空隙并在一定程度上压密煤体内部的裂隙;该材料产生的膨胀力可压密封孔段围岩、提高封孔质量,并为后期“二次注浆”提供保压条件。工业试验结果表明,采用PC-CAS基材料进行封孔可显著改善抽采效果,将原有平均浓度10.11%提升至20.08%。     

基于ZIF-L的微固相萃取技术测定地表水中痕量典型多环芳烃

制备类沸石咪唑酯骨架ZIF-L材料,将其用作微固相萃取吸附剂,处理水中萘、苊、苊烯、芴、菲、蒽、荧蒽、芘等8种痕量典型多环芳烃,再用HPLC测定。试验表明,ZIF-L对上述多环芳烃的萃取效率明显高于商品化萃取材料C 18和多壁碳纳米管。方法在0.100μg/L^200μg/L范围内线性良好,方法检出限为0.02μg/L^0.03μg/L,标准溶液5次测定结果的RSD为4.7%~9.5%,实际水样加标回收率为84.5%~115%。将该方法用于北太湖5个点位水样的测定,测定值为未检出~3.40μg/L。     

Development of machine learning based prediction models for hazardous properties of chemical mixtures

Lower flammability limit (LFL), upper flammability limit (UFL), auto-ignition temperature (AIT) and flash point (FP) are crucial hazardous properties for fire and explosion hazards assessment and consequence analysis. In this study, a comprehensive prediction model set was constructed by using expanded chemical mixture databases of chemical mixture hazardous properties. Machine learning based gradient boosting quantitative structure-property relationship (GB-QSPR) method is implemented for the first time to improve the model performance and prediction accuracy. The result shows that all developed models have significantly higher accuracy than other regular QSPR models, with the 5-fold cross-validation RMSE of LFL, UFL, AIT, and FP models being 1.06, 1.14, 1.08, and 1.17, respectively. All developed QSPR models can be used to estimate reliable chemical mixture hazardous properties and provide useful guidance in chemical mixture hazard assessment and consequence analysis.     

Point Sampling Digital Imagery with ‘Samplepoint’

Measuring percent occurrence of objects from digital images can save time and expense relative to conventional field measurements. However, the accuracy of image analysis had, until now, not reached the level of the best conventional field measurements. Additionally, most image-analysis software programs require advanced user training to successfully analyze images. Here we present a new software program, ‘SamplePoint,’ that provides the user a single-pixel sample point and the ability to view and identify the pixel context. We found SamplePoint to allow accuracy comparable with the most accurate field-methods for ground-cover measurements. Expert use of the program requires minimal training and its ease of use allows rapid measurements from image data. We recommend SamplePoint for calibrating the threshold-detection level of image-analysis software or for making direct measurements of percent occurrence from digital images.     

Metal Fractionation Studies in Surfacial and Core Sediments in the Achankovil River Basin in India

The Fractionation of Fe, Zn, Cu, Pb, Mn and Cd in the sediments of the Achankovil River, Western Ghats, India using a sequential extraction method was carried out to understand the metal availability in the basin for biotic and abiotic activities. Spatial distribution of heavy metals has been studied. Sediment grain size has significant control over the heavy metal distribution. The fluctuations in their concentration partly depend upon the lithology of the river basin and partly the anthropogenic activities. The sediments are dominated by sand and are moderately to strongly positively skewed and are very leptokurtotic in nature. The quartzite and feldspars are abundant minerals along with significant amount of mica with low clay content. The core sediments show increasing trend of heavy metal concentration with depth due to the recent addition of anthropogenic sources and post-diagenic activities. Significant amount of Cd (18%) was found in carbonate fraction, which may pose environmental problems due to its toxic nature. Small concentrations of metals, except Cd and Cu, are in exchangeable fraction, which indicate low bio-availability. Enrichment Factor (EF) for individual metals shows the contribution from terrregious and in part from anthropogenic sources. Selective Sequential Extraction (SSE) study shows the variation in specific metal distribution pattern, their distribution in different phases and their bio-availability. Maximum amount of the metals were bound to the non-residual fractions (mainly Fe-oxides). Overall, bio-availability of these micronutrients from sediments seems to be very less. Non-residual phase is the most important phase for majority of heavy metals studied. Among the non-residual fraction, maximum amount of the heavy metals bound to Fe-oxides. The study high lights the need for in-depth study of heavy metals distribution and fractionation in the smaller river basins to get precise information on the behavior and transport of heavy metals in the fluvial environment and their contribution to the world ocean.     

Fractionation and Sequential Extraction of Heavy Metals in the Soil of Scrapyard of Discarded Vehicles

Chemical and physical size fractionation of heavy metals were carried out on 20 soil samples from the scrap yard area. Tessier method was used in sequential extraction. Cadmium showed the highest levels among the other elements studied in the exchangeable fraction (about 33%), while other elements showed low levels in this fraction (≥1%). Lead and manganese were mostly found in the Fe–Mn oxide fraction, zinc and iron were mostly in residual fraction, while copper was mostly found in the organic fraction of the soil. Soil samples were size-fractionated into four sizes: 1000–500, 500–125, 125–53, and less than 53 μm. The highest levels of Fe, Cu, Pb, Mn, and Cd were found in the medium fraction (500–125 μm), while zinc showed its highest levels in the fine fraction (125–53 μm). The order of heavy metal load in the size fractions was found to be medium > fine > coarse > silt for Fe, Mn, Cu, Pb, and Cd, where it was found as fine > medium > coarse > silt for zinc.