Agricultural Chemicals in the Alluvial Aquifer of a Typical County of the Arkansas Delta

Statistical methods and a Geographic Information System (GIS) were used to investigate potential indicators of ground water vulnerability to agricultural chemical contamination in a representative area of the Mississippi River alluvial aquifer. A total of 47 wells were sampled for analysis of nitrate, phosphorus, potassium, and 13 pesticides commonly-used in the area. Ten soil and hydrogeologic variables and five ground water vulnerability indices were examined to explain the variations of chemical concentrations. The results showed that no individual soil or hydrogeologic variables or their linear combinations could explain more than 25% of the variation of the chemical concentrations. A quadratic response surface model with the values of confining unit thickness, slope, soil permeability, depth to ground water, and recharge rate accounted for 62% of the variation of nitrate, 43% of P, and 83% of K, suggesting that the interactions among soil and hydrogeologic variables were significant. Observed trends of decreasing nitrate and P concentrations with increasing well depth and/or depth to ground water seemed to correlate with carbonate equilibrium in the aquifer and more reduced environment with depth. In view of uncertainties involved, it was recognized that the limitations associated with input data resolution used in GIS and the formulation of leaching indices limited their use for predicting ground water vulnerability. Misuse of pesticides could be another factor that would complicate the relationships between pesticide concentrations and the vulnerability indices.     

微波萃取技术在分析土壤中有机污染物的应用

介绍了微波萃取技术及其使用的试剂、设备和条件,对微波萃取在分析土壤中有机污染物的应用予以综述,阐述了微波萃取技术是分析土壤中有机污染物的好方法。     

煤矿粉尘监测与矿尘成分分析

目的: 监测煤矿井下粉尘浓度,评价煤矿粉尘危害水平;分析煤尘的组成成份,为探讨粉尘性职业损害机制提供依据.方法: 运用粉尘采样器采集煤尘,计算作业场所瞬时总粉尘浓度(PC-STEL)和时间加权平均呼吸性粉尘浓度(PC-TWA).运用焦磷酸质量法测定煤矿粉尘中游离二氧化硅含量.原子吸收光谱法,测定粉尘中主要金属与类金属元素含量.结果: (1)甲、乙两矿PC-STEL分别为13.61±17.65 mg/m3、39.35±148.10 mg/m3,超过国家标准,样本超标率分别为52.9%、55.8%;PC-TWA分别为3.20±8.42 mg/m3、2.15±2.07 mg/m3,超标率分别17.5%和30.2%.(2) 游离二氧化硅含量为9.60 mg/m3,甲矿显著高于乙矿#(P<0.05),岩巷作业显著高于其它各组(P<0.05).(3)粉尘中Ni、Pb、Mn、As、Cd、Fe、Ca、Mg、Zn、Cu等金属与类金属元素的含量分别为16.2±6.5μg/g、50.6±36.1μg/g、103.4±54.7μg/g、37.5±44.4μg/g、235.9±292.4ng/ml、6224.6±4295.5μg/g、12715.8±26930.8μg/g、919.7±915.4μg/g、656.7±774.5μg/g和28.2±12.8μg/g;不同煤矿粉尘中金属与类金属元素的含量显著不同,同一煤矿不同采样点(工种)间亦有显著差异.结论: 煤矿作业场所粉尘污染仍比较严重,应进一步完善防、降尘体系;10种金属与类金属元素的含量占总粉尘的2.1%.     

Surface functional characteristics (C, O, S) of waste tire-derived carbon black before and after steam activation

The effects of steam activation on the surface functional characteristics of waste tire-derived carbon black were investigated. Two carbon-based materials, powdered carbon black (PCB) and PCB-derived powdered activated carbon (PCB-PAC), were selected for this study. A stainless steel tubular oven was used to activate the PCB at an activation temperature of 900 degrees C and 1 atm using steam as an activating reagent. X-ray photoelectron spectroscopy (XPS) was adopted to measure the surface composition and chemical structure of carbon surface. Various elemental spectra (C, O, and S) of each carbon sample were further deconvoluted by peak synthesis. Results showed that the surfaces of PCB and PCB-PAC consisted mainly of C-C and C-O. The PCB-PAC surface had a higher percentage of oxygenated functional groups (C=O and O-C=O) than PCB. The O1s spectra show that the oxygen detected on the PCB surface was mainly bonded to carbon (C-O), whereas the oxygen on the PCB-PAC surface could be bonded to hydrogen (O-H) and carbon (C-O). Sulfur on the surface of PCB consisted of 58.9 wt% zinc sulfide (ZnS) and 41.1 wt% S=C=S, whereas that on the surfaces of PCB-PAC consisted mainly of S=C=S. Furthermore, the increase of oxygen content from 9.6% (PCB) to 11.9% (PCB-PAC) resulted in the increase of the pH values of PCB-PAC after steam activation.     

附生假单胞菌存在下不同光照时间对铜绿微囊藻生长与磷代谢的影响

通过设置8/16、12/12、16/8不同光暗比,分析了附生细菌存在下不同光照时间对铜绿微囊藻(M icrocystis aeruginosa)生长及其与附生假单胞菌(Pseudom onassp.)磷代谢之间关系的影响。结果表明:光照时间越长,铜绿微囊藻生长越快,16 h光照下的比增长速率为8 h光照下的1.6倍。铜绿微囊藻的快速生长促进了附生细菌中磷的释放;藻细胞增殖越快,附生细菌释放的磷越多。铜绿微囊藻对数生长期末,8、12、16 h光照下附生细菌磷含量分别降至对数生长初期的87.8%、78.6%和64.9%。铜绿微囊藻对附生细菌磷释放的促进作用是由藻细胞生长对磷的消耗再吸收导致的。     

上海市土壤氟含量风险管控限值探讨

受工业活动影响,上海市典型工业区表层土壤氟中位值普遍高于"七五"背景值.针对工业企业场地土壤氟化物高值现象,目前仍缺乏相关的管理标准体系,且基于总量的评估分析方法已无法满足日益增长的精细化管理需求.详细梳理了国内外氟化物相关标准体系,并对上海市土壤氟限值进行了探讨.基于上海市典型工业场地特征参数计算得到的土壤氟化物筛选...     

砷尾矿污染土壤的细菌群落结构多样性及其相关环境影响因子分析

以湖南石门雄黄尾矿污染土壤为对象,研究纵向不同深度、横向不同距离土样中的重金属污染程度以及细菌群落结构变化规律,查明砷污染土壤的核心微生物组成并将其与土壤理化指标进行共存网络图分析.结果表明:该尾矿区的土壤各项重金属指标严重超标,尤以铅(626.54 mg·kg?1,Ei=105.48)、砷(1804.75 mg·kg...     

Identification of soil heavy metal sources from anthropogenic activities and pollution assessment of Fuyang County, China

Understanding regional variations of soil heavy metals and their anthropogenic influence are very important for environmental planning. In this study, 286 surface soil samples were collected in Fuyang county, and the 'total' metals for copper (Cu), zinc (Zn), lead (Pb), cadmium (Cd) and nickel (Ni) were measured in 2005. Statistic analysis showed that Cu, Zn, Pb and Cd had been added by exterior factors, and Ni was mainly controlled by natural factors. The combination of multivariate statistical and geostatistical analysis successfully grouped three groups (Cu, Zn and Pb; Cd; and Ni) of heavy metals from different sources. Through pollution evaluation, it was found that 15.76% of the study area for Cu, Zn and Pb, and 46.14% for Cd suffered from moderate or severe pollution. Further spatial analysis identified the limestone mining activities, paper mills, cement factory and metallurgic activities were the main sources for the concentration of Cu, Zn, Pb and Cd in soils, and soil Ni was mainly determined by the parent materials.     

Monitoring and identification of spatiotemporal landscape changes in multiple remote sensing images by using a stratified conditional Latin hypercube sampling approach and geostatistical simulation

This study develops a stratified conditional Latin hypercube sampling (scLHS) approach for multiple, remotely sensed, normalized difference vegetation index (NDVI) images. The objective is to sample, monitor, and delineate spatiotemporal landscape changes, including spatial heterogeneity and variability, in a given area. The scLHS approach, which is based on the variance quadtree technique (VQT) and the conditional Latin hypercube sampling (cLHS) method, selects samples in order to delineate landscape changes from multiple NDVI images. The images are then mapped for calibration and validation by using sequential Gaussian simulation (SGS) with the scLHS selected samples. Spatial statistical results indicate that in terms of their statistical distribution, spatial distribution, and spatial variation, the statistics and variograms of the scLHS samples resemble those of multiple NDVI images more closely than those of cLHS and VQT samples. Moreover, the accuracy of simulated NDVI images based on SGS with scLHS samples is significantly better than that of simulated NDVI images based on SGS with cLHS samples and VQT samples, respectively. However, the proposed approach efficiently monitors the spatial characteristics of landscape changes, including the statistics, spatial variability, and heterogeneity of NDVI images. In addition, SGS with the scLHS samples effectively reproduces spatial patterns and landscape changes in multiple NDVI images.     

硅藻土强化混凝去除微污染原水中的有机物

研究了联用硅藻土与聚合氯化铝（PAC）强化混凝对有机微污染原水中不同性质溶解性有机物的去除效果。采用超滤膜和XAD系列树脂对微污染原水中溶解性有机物进行分级表征,物理分级表明分子量〈4 kD的溶解性有机物占50%以上,化学分级表明原水中以憎水酸（HoA）和亲水物质（HiM）为主。硅藻土助凝去除溶解性有机物,实验结果表明,当PAC投加量30 mg/L,硅藻土投加量0.5 g/L时,溶解性有机碳去除率由22.5%提高到26.3%。