Selected organochlorine pesticides (OCPs) in surface soils from three major states from the northeastern part of India

Eighty-two surface soil samples were collected from forest, grassland, tea estate, wildlife sanctuary, wetland, and roadside areas from the northeastern states of India, viz., Tripura, Manipur, and Assam. Thirteen different organochlorine pesticides (OCPs) were detected from background soils using gas chromatography electron capture detector. Manipur soils were found to be with higher concentration of dichlorodiphenyltrichloroethanes (DDTs), hexachlorocyclohexanes (HCHs), and endosulfan followed by Tripura and Assam. The spearman correlation coefficient shows significant correlation between HCHs, DDTs, and endosulfan isomers (r ²?>?0.5 and p?<?0.05). Additionally, α-HCH, δ-HCH, o,p′-DDE, and endosulfan-sulfate shows good correlation with total organic carbon in soil (r ²?=?0.5, p?=?0.05), indicating that the soil organic matter could enhance adsorption of these compounds, also demonstrating that the present OCPs in the background soil were from similar source. Further principal component analysis evaluates that most of the higher volatile compounds where clustered together in soil. However, after comparing with different states of Indian soil samples, the concentrations of OCPs in the present study areas are much lower and comparable with background soil across the globe.     

Blood mercury concentration among residents of a historic mercury mine and possible effects on renal function: a cross-sectional study in southwestern China

This cross-sectional study aimed to investigate blood mercury (B-Hg) concentration of residents living in the vicinity of Chatian mercury mine (CMM) in southwestern China and to assess the possible effects on renal function. It evaluates the effects of gender and age (children, <18 years; adults, 18–60 years; elderly, >60 years) on the B-Hg and serum creatinine (SCR) and serum urea nitrogen (SUN) levels. In the CMM, elevated levels were found for B-Hg, SCR, and SUN with mean values at 6.09 μg/L, 74.21 μmol/L, and 13.26 mmol/L, which were significantly higher than those in the control area, respectively. Moreover, the coefficients between paired results for B-Hg and SCR and SUN levels were positive at statistical significance (B-Hg vs. SCR, r?=?0.45, p?<?0.01; B-Hg vs. SUN, r?=?0.20, p?<?0.05). The aforementioned results revealed that mercury exposure can cause human renal function impairment. B-Hg, SCR, and SUN can also be useful biomarkers to assess the extent of mercury exposure among residents in areas with extensive mining activities. Furthermore, data analysis revealed that there was a tendency for higher B-Hg, SCR, and SUN levels in females than in males, and the levels of B-Hg, SCR, and SUN increased among the older residents. We conclude that females and the elderly in the mining area were more susceptible to mercury exposure, and therefore, they deserve further research.     

陶瓷碎片基质人工湿地处理污染河水的应用

选取陶瓷碎片废弃物作为基质,芦苇和菖蒲作为湿地植物,构建潜流人工湿地系统,对城市纳污河道内的污染河水进行处理。水力负荷为15cm/d,考察了在较高浓度进水(CODCr和氨氮浓度分别为40~70mg/L和10~35mg/L)和较低浓度进水(CODCr和氨氮浓度分别为15~30mg/L和0.3~3mg/L)2种工况下系统的运行效果。结果表明,在较高浓度进水情况下,系统对CODCr、氨氮的平均去除率分别为10.0%和42.4%;在较低浓度进水情况下,系统对CODCr、氨氮的平均去除率分别为38.5%和63.0%。陶瓷碎片是一种经济有效的湿地基质。     

Dynamic fate modeling of γ-hexachlorocyclohexane in the lower reaches of the Liao River

A QWASI model dependent on temperature is parameterized to describe the long-term fate of persistent organic pollutants (POPs) in the Liao River. The model parameters, namely fugacity capacity, degradation rate, and transfer coefficient, are profoundly affected by temperature. This model is used to simulate the fate of γ-hexachlorocyclohexane (γ-HCH) in the lower reaches of the Liao River from 1998 to 2008. Modeling results show that γ-HCH fugacity capacities in air, water, and sediment increase as temperature decreases, and the transfer and transformation rate coefficients increase as temperature increases. The variations of transfer and transformation parameter D values depend on fugacity capacities, and transfer and transformation coefficients simultaneously. The performance of the model is evaluated by comparing the predicted and observed concentrations in the water and sediment of the Liao River. The predicted values agree well with the observed value in the order of magnitude, in most cases within the factor of 3. It is believed that the model is appropriate for simulating the long term fate of POPs in the Liao River. Translated from Environmental Science, 2006, 27(1): 121–125 [译自: 环境科学]     

改性凹凸棒土对染料废水脱色初步实验

以凹凸棒土为原料,通过复配造粒、热处理的方法对凹凸棒土进行改性,并用改性后的凹凸棒土对染料废水进行处理。考察了pH值、凹凸棒土用量及吸附时间等因素的影响,探索了最佳工艺条件。结果表明,改性后的凹凸棒土吸附性能有了明显改善,对染料废水进行处理,脱色率可达99%以上,处理废水量与吸附剂比为670颐1,且其原料价廉易得、工艺简单、成本低,是一种较好的脱色吸附剂。     

氮气中二氧化硫气体浓度测量不确定度的评定

采用紫外荧光法测定氮气中的二氧化硫气体浓度的测量不确定度.充分考虑重复测量的重现性、测量仪器的计量性能局限性、标定仪器所用的标准气体等因素对测量的影响,计算氮气中的二氧化硫气体浓度测量合成标准不确定度为0.4.     

改进密切值法在湖泊富营养化评价中的应用

密切值法(Osculating Method)作为一种多目标优选方法,在水环境质量评价中具有一定的应用.经过改进,将各级营养级别作为评价样本,参与到湖泊水环境样本的矩阵中,引入目标差值率对初始矩阵进行规范化处理,并应用层次分析法,对各评价指标的贡献程度加以确定.将改进后的密切值法应用于湖泊富营养化评价中.经实例分析表明,该方法概念清晰、计算简便实用,保证了湖泊水环境质量评价的科学性,能较好地反映湖泊水环境质量的优劣,并使其与各级营养级别的关系一目了然.     

水环境模拟中多孔介质非均质性空间变异最优估计模型

在生产实践中,经常要求对含水介质渗透性参数的空间分布数值作出可靠的估计.如何利用已知数据对指定点处的渗透性参数作出令人满意的估计,历来是水文地质工作者和应用数学工作者都关心的问题.文章应用能够刻画区域化变量随机性与结构性特征的地质统计学的理论和方法对能够反映多孔介质非均质特性的参数进行了分析,通过分析结果得出了参数空间变异性局部最优估计模型--普通克里格法.     

我国高校体育产业化发展的现状分析和对策研究

作为体育产业重要组成部分的高校体育产业正面临着巨大的商机,蕴藏着巨大潜力.本文运用文献资料法,对我国高校体育产业化的现状进行分析,结合实际对我国高校体育产业化的发展提出相应的对策:更新观念、提高认识,积极创建体育俱乐部,充分利用自身的资源优势,开展多项经营,加速对体育经营管理人才的培养,严格遵循市场经济规律等.     

Markov reliability model research of monitoring process in digital main control room of nuclear power plant

Monitoring process is an important part in a high safety digital main control room of nuclear power plant (NPP), it is the source extracted information and found abnormal information in time. As the human factors events arisen from monitoring process recently take place more and more frequent, the authors propose a reliability Markov model to effectively decrease these abnormal events. The model mainly analyzes next monitoring object probability in terms of current information and plant state. The authors divide digital human–machine interface into two parts that are referred as logical homogeneous Markov and logical heterogeneous Markov. For the former, a series of methods of probability evaluation are proposed, such as, Markov transition probability with condition, probability distributed function with human factors, system state and alarm; for the latter, the authors propose the calculation of probability of correlation degree between last time and next time and probability calculation methods with multi-father nodes. The methods can effectively estimate the transition probability from a monitoring component to next monitoring component at time t, can effectively analyze which information is more important in next monitoring process and effectively find more useful information in time t + 1, so that the human factors events in monitoring process can greatly be decreased.