美军军事极端环境选择的科学表征

介绍了美国陆军研究办公室资助陆军研究实验室环境科学部和陆军军官学校地理与环境工程部,研发了通过地理环境分析提高利用自然环境进行试验和训练的科学判据,实现了表征任意环境试验站点支持试验任务的能力.在地理环境位置分析中,采用了8步骤环境试验站评价分析模型,并给出了理想热带试验区环境条件分析和理想沙漠环境精确的地理学参数分析案例.为最优化试验站点选择,还研发了附加关键自然环境因素评价等级.研究成果的创新在于通过科学的标准将选择全球最佳自然环境进行现场试验和军事行动的需求与地理背景环境联系起来,能够对相关环境试验站的选择进行科学表征和评估,实现装备/材料现场试验与部队训练效益最大化.     

Optimization via response surface methodology of the synthesis of a dust suppressant and its performance characterization for use in open cut coal mines

To relieve dust pollution in open cut coal mines and reduce the hazards of coal dust pollution to the environment and workers we optimized the synthesis of a dust suppressant by graft copolymerization of environmentally friendly soy protein isolate with methyl methacrylate. This dust suppressant could effectively control dust pollution in open cut coal mines. The optimized conditions for graft copolymerization in this case were determined by a response surface experiment designed with Design-Expert 10 software. Characterization by scanning electron microscopy showed a significant morphology change of the dust suppressant and the generation of a rigid and dense layer on its surface after interacting with coal dust. The layer exhibited good bonding and dust suppression performance. The analysis with Fourier-transform infrared spectroscopy revealed the appearance of new absorption peaks near 1300, 1072, and 1631 cm⁻¹, demonstrating effective graft copolymerization. The proposed dust suppressant exhibited excellent wind erosion resistance, with a resistance that exceeded 90% at a wind speed of 6.5 m/sec. The successful graft copolymerization and effective bonding and curing of the dust suppressant on coal dust were experimentally verified. This is of great significance to the control of coal dust pollution.     

Aggregation and dissolution of silver nanoparticles in a laboratory-based freshwater microcosm under simulated environmental conditions

Silver nanoparticles (NP) are used in several applications, including their use as antimicrobial agents in textiles, personal care, and other domestic products. As such, there is a high potential for the release of silver nanoparticles (AgNP) in the aquatic environment. In aquatic ecosystems, nanomaterials are affected by abiotic factors, such as temperature, that alter their chemistry and influence their fate in the environment. Preliminary studies indicate that NP tend to form aggregates which are potentially more recalcitrant than unaggregated NP. These and other fate processes are largely dependent on both the characteristics of the NP and that of the environment. In this study, lab experiments were conducted to investigate the physicochemical properties and temperature solubility of AgNP (<100 nm) that may potentially influence the fate and behavior of AgNP in the aqueous environment. Results indicated that, under these tested conditions, AgNP may be transformed in size and thereby affect fate, bioavailability, and toxicity. In this study, a novel method was used to determine whether AgNP would form agglomerates, or behave as isolated particles, or dissolve when in aqueous media and under different environmental conditions. The new aspects evaluated in this study demonstrated that AgNP are transformed in both size and state under variable environmental conditions.     

A comparison study of aerosol emissions sources in two receptor sites in Salvador (Brazil) city

Total suspended particles (TSP) and metal concentrations were determined in Salvador, Bahia, Brazil at two sites: a residential area and a residential‐commercial‐industrial neighborhood. The determined metals associated with atmospheric aerosols include Al, Ca, Cr, Cd, Fe, Mg, Mn, V, Zn and Na. Factor analysis was employed to identify the major atmospheric deposition sources. At one site the data were best represented by two sources: resuspended soil + marine aerosol and vehicular emissions, which represents 93% of the total system variance. In the second one the data were best represented by three sources: resuspended soil, metallurgy and building construction, which represents 79% of the total system variance.     

Fenton溶液预处理对TiO2纳米管催化活性的影响

采用Fenton溶液对TiO2纳米管电极进行预处理,研究其对TiO2纳米管催化活性的影响,考察了Fenton溶液的浓度、配比和处理时间等影响因素,研究了Fenton预处理过程中溶液中二价铁和总铁的含量变化,运用X射线光电子能谱仪(XPS)和场发射扫描电子显微镜(FESEM)对TiO2纳米管电极进行了表征,初步探讨了经处理后TiO2纳米管催化活性再生或增强的机理.结果表明,经Fenton溶液处理后的TiO2纳米管催化活性有明显地提高,Fenton溶液浓度越高,TCs降解率越大(相应于TiO2纳米管催化活性的增强);在一定浓度范围内,H2O2的配比高低对TCs降解率影响较大,其所占比例高,则降解率高,而Fe2+配比高低对TCs降解率影响相对较小.在Fenton溶液处理过程中,溶液中剩余的Fe2+含量较为恒定,总铁的含量呈下降趋势.XPS分析表明,经Fenton溶液处理后,TiO2纳米管电极表面C1s含量降低,O1s、Fe2p含量增大;部分含碳官能团含量明显降低,O1s的电子结合能向高能端位移.     

Biosorption of Cr(VI) from wastewater using Sorghastrum Nutans L. Nash

Sorghastrum Nutans L. Nash is used as an adsorbent for the removal of Cr(VI) from wastewater. Adsorption coupled reduction i.e. indirect reduction is the mechanism of Cr(VI) removal by the biomaterial. The adsorbent surface became highly positively charged at lower pH, adsorption rate of Cr(VI) is faster and reduction reaction also accelerates at lower pH since the binding of negatively charged Cr(VI) ion species to the cationic groups is enhanced and protons take part in this reaction. The adsorbent is characterised by using XRD, FTIR, SEM and EDAX analysis. OH bending, CN stretching/bending and NH stretching play a major role in Chromium adsorption. Experimental values follow pseudo-second order reaction and Langmuir adsorption isotherm. Surface diffusion is the rate controlling mechanism for the process. The maximum percentage of Cr(VI) removal obtained is 75.5% with 7?g/L dosage at pH 1.3 and adsorbate concentration was 100?mg/L. From the normal probability, residual, contour, 3D surface, main effect and interaction plot along with t-test, ANOVA, and F-test, it is observed that pH has the most significant effect on the percentage removal followed by adsorbent dosage and time. The adsorbate concentration has the least effects and interaction effects are found to be significant.     

聚合氯化铝中纳米Al13形态的分离纯化及形态表征

采用超滤法和层析法分离纯化聚合氯化铝(PAC)中的Al₁₃形态,并采用Al-Ferron逐时络合比色法、²⁷Al-NMR、TEM和粒度测定仪对分离纯化所得的Al₁₃形态进行了分析和表征.研究结果表明,超滤法分离纯化的效果受超滤膜的孔径及PAC浓度的影响,选择合适孔径的膜和PAC溶液浓度即可以获得高纯度的Al₁₃,在层析法中则随着洗脱时间延长按分子的大小依次洗脱下来,因此截取中间组分即可得到Al₁₃;Al-Ferron逐时络合比色法和²⁷Al-NMR的分析结果表明,采用上述2种方法分离提纯得到的样品中Al₁₃的含量分别可达到90%以上和100%.TEM和粒度测定结果表明,在B=2.5的PAC溶液中,Al₁₃极少以Al₁₂AlO₄(OH)₂₄(H₂O)⁷⁺₁₂的单体形态存在,而是呈两维结构的线性和枝状的聚集体,Al₁₂AlO₄(OH)₂₄(H₂O)⁷⁺₁₂的聚集体尺寸通常在几十至几百nm.     

STATISTICAL LOW FLOW ESTIMATION USING GIS ANALYSIS IN HUMID MONTANE REGIONS IN PUERTO RICO1

ABSTRACT: Statistical analysis of watershed parameters derived using a Geographical Information system (GIS) was done to develop equations for estimating the 7d–10yr, 30d–10yr, and 7d–2yr low flow for watersheds in humid montane regions of Puerto Rico. Digital elevation models and land use, geology, soils, and stream network coverages were used to evaluate 21 geomorphic, 10 stream channel, 9 relief, 7 geology, 4 climate, and 2 soil parameters for each watershed. To assess which parameters should be used for further investigation, a correlation analysis was used to determine the independence and collinearity among these parameters and their relationship with low flows. Multiple regression analyses using the selected parameters were then performed to develop the statistical models of low flows. The final models were selected in the basis of the Mallow Cp statistic, the adjusted R², the Press statistic, the degree of collinearity, and an analysis of the residuals. In the final models, drainage density, the ratio of length of tributaries to the length of the main channel, the percent of drainage area with northeast aspect, and the average weighted slope of the drainage were the most significant parameters. The final models had adjusted standard errors of 58.7 percent, 59.2 percent, and 48.6 percent for the 7d–10yr, 30d–10yr, and 7d–2yr low flows respectively. For comparison, the best model based on watershed parameters that can be easily measured without a GIS had an adjusted standard error of 82.8 percent.     

AN OBJECTWE TEST FOR HYDROLOGIC SCALE1

ABSTRACT: Improving the reliability of parametric hydrologic models (sometimes called cenceptual rainfall-runoff models) in the continuous simulation of runoff from ungaged catchments has been frustrated by difficulties in estimating model parameters from catchment characteristics. An underlying problem is that these models use parameters to represent catchments as a whole, whereas data on catchment characteristics are collected at multiple field locations and are difficult to transform into one measure of collective impact. Subdividing the catchment and calibrating a stochastic parametric model to estimate distributions for the parameters that covered the range of observed streamflow values was found to improve the simulations. This paper presents an optimization of the amount of subdivision to use in simulation with a version of the Stanford Watershed Model using available climatological data. The calibration process assumes that catchment heterogeneity introduces errors that can be reduced by calibrating parameters as spatial distributions rather than single values. Calibrations for three diverse small gaged catchments located in California and in Virginia found the optimal number of subdivisions to range from 4 to 25 and the optimal scale to range from 0.3 to 2.1 mi².     

AUTOMATED EXTRACTION OF DRAINAGE NETWORK AND WATERSHED DATA FROM DIGITAL ELEVATION MODELS1

ABSTRACT: This paper discusses a computer program which extracts a number of watershed and drainage network properties directly from digital elevation models (DEM) to assist in the rapid parameterization of hydrologic runoff models. The program integrates new and established algorithms to address problems inherent in the analysis low-relief terrain from raster DEMs similar to those distributed by the U.S. Geological Survey for 7.5-minute quadrangles. The program delineates the drainage network from a DEM, and determines the Strahler order, total and direct drainage area, length, slope, and upstream and downstream coordinates of each channel link. It also identifies the subwatershed of each channel source and of the left and right bank of each channel link, and assigns a unique number to each network node. The node numbers are used to associate each subwatershed with the channel link to which it drains, and can be used to control flow routing in cascade hydrologic models. Program output includes tabular data and raster maps of the drainage network and subwatersheds. The raster maps are intended for import to a Geographical Information System where they can be registered to other data layers and used as templates to extract additional network and subwatershed information.