混合表面活性剂-浊点萃取法测定沉积物中多环芳烃的含量

以混合型表面活性剂（十二烷基硫酸钠（SDS）和对叔辛基苯基聚己二醇醚（Triton X-114））为萃取剂,采用浊点萃取法萃取沉积物中的15种多环芳烃（PAHs）,并利用HPLC技术测定15种PAHs的含量。实验结果表明,当混合型表面活性剂的加入量 3％（w）、混合型表面活性剂中SDS含量 50%（φ）、Na2SO4含量 8％（w）、萃取温度 60 ℃、超声萃取时间 10 min 时,15种PAHs的线性关系良好,r=0.998 9~0.999 7,检出限0.4~8.2 μg/L,加标回收率71.22%~97.36%,相对标准偏差0.92%~4.36%（n=6）。     

应用电声换能超声波雾化方法提高超细颗粒捕集效率

针对大气环境污染控制中超细颗粒难以捕集的问题,提出了一种高效、经济的新方法.其核心思想是将经电声换能超声波雾化得到的相对湿度过饱和雾气喷入含尘气体中,在“云”物理学、碰撞团聚等原理共同作用下,饱和水蒸汽在颗粒表面凝结,使超细颗粒的粒径增大,增加其捕集效率.为了证明这种方法的有效性,建立了小型电声换能超声波雾化捕尘实验台并在旋风除尘器中进行实验研究.实验结果表明,随着雾气浓度的增加,总除尘效率与超细颗粒的分级效率均有明显提高,并且旋风除尘器的压降(能耗)明显降低.     

聚类分析法在行业事故风险分级中的应用

对聚类分析进行概括,通过对近几年各行业万人重伤率和万人死亡率为指标进行聚类分析,并依据行业的不同对事故进行风险分级,按行业风险大小由低到高分成10级。风险分级结果显示:采掘业的风险等级始终是最高的,其次是电力、煤气及水的生成和供应业,而教育文化艺术及广电业、农林牧渔业、金融保险业、国家机关政党机关和社会团体和卫生、体育和社会福利业的伤亡事故风险等级相对是最低的。该分级结果可以为安全生产管理部门和保险部门提供决策的依据。     

京杭运河(苏州段)水质时空分布特征分析

本文基于数据分析工具Excel 2007和SPSS17.0,采用多元统计方法中的聚类分析与判别分析对2008年京杭运河(苏州段)水质时空分布特征进行分析,以识别水质指标的时间与空间差异性。时间分析结果将京杭运河(苏州段)划分为与丰、平、枯水期略有差异的3个时期,其中7项显著性时间差异的水质指标为pH、NH4-N、CODMn、DO、BOD5、V-phen、cn-total。空间分析结果将研究区域分为3个污染区域;空间分析判别函数的构建表明仅pH、NH4-N、CODMn、DO、BOD55项水质指标即可反映研究区域水质的差异性。本研究结果对改善省界河流水质、缓解省际纠纷、维护社会和谐稳定具有重要意义。     

秦皇岛地区气候干旱与人工增雨的探索

气候分析表明:随着气候变化及环境城市化,秦皇岛市区域年平均气温指数呈上升趋势,特别是近10年出现了连续偏高的异常变化;年降水指数呈明显减小趋势,出现了连年干旱,高温少雨不仅使生态环境不断恶化,而且使农田干旱、水库蓄水严重不足,因此人工增雨变得更加迫切。目前,秦皇岛市人工增雨工作已进入常态化、业务化轨道。总结1999—2008年火箭人工增雨经验,人工增雨操作的技术关键:一是分析局地降水气候规律;二是利用碘化银进行人工增雨需要适当的温度条件,即所谓进行冷云催化。在增雨时应充分考虑这一物理机制,选择好合适的发射高度,把催化剂送到可催化的温度环境中,以保证作业成功率。     

A multivariate statistical analysis of surface water chemistry data--the Ankobra Basin, Ghana

R-mode hierarchical cluster and principal component analysis (PCA) were simultaneously applied to surface water hydrochemical data from three different locations, Ankwaso, Dominase and Prestea, along the Ankobra Basin, Ghana, to extract principal factors corresponding to the different sources of variation in the hydrochemistry, with the objective of defining the main controls on the hydrochemistry at the basin scale. Using the Kaiser criterion, principal components (PC) were extracted from the data and rotated using varimax normalization, for each location. The varimax rotation ensured that variation in the data was maximized for easy interpretation of the results. The analysis reduced 30, 33 and 33 data points, respectively, for Ankwaso, Dominase and Prestea to four, three and four PC representing the sources of variation in the hydrochemistry at the three different locations. Though the PC analysis proved to be more robust at unveiling the sources of variation in the hydrochemistry than the R-mode hierarchical cluster analysis (HCA), the combined use of both techniques resulted in more reliable interpretations of the hydrochemistry. On the basis of these analyses, the hydrochemistry of the basin is controlled largely by the weathering of minerals (silicates, carbonates, gypsum and apatite) from the underlying meta-sediments of the Birimian and Tarkwaian Systems, and the decay of organic matter from the heavily forested regions. Concentrations of the major chemical parameters are within naturally acceptable limits and do not pose threats to the local ecology and humans. There is no strong evidence of high anthropogenic impacts on the major anions and cations used for this research, though there are variations at the different locations studied. The hydrochemistry at Ankwaso is principally controlled by the weathering of silicate minerals, whereas those of Dominase and Prestea are, respectively, influenced by precipitation and domestic wastewaters, and the decay of organic matter.     

Cloud point extraction coupled with HPLC-UV for the determination of phthalate esters in environmental water samples

A method based on cloud point extraction was developed to determine phthalate esters including di-ethyl-phthalate （DEP）, di- （2-ethylhexyl）-phthalate （DEHP） and di-cyclohexyl-phthalate （DCP） in environmental water samples using high-performance liquid chromatography separation and ultraviolet detection （HPLC-UV）. The non-ionic surfactant Triton X-114 was chosen as extraction solvent. The parameters affecting extraction efficiency, such as concentrations of Triton X-114 and Na2SO4, equilibration temperature, equilibration time and centrifugation time were evaluated and optimized. Under the optimum conditions, the method can achieve preconcentration factors of 35, 88, 111 and detection of limits of 2.0, 3.8, 1.0 ng/ml for DEP, DEHP and DCP in 10-ml water sample, respectively. The proposed method was successfully applied to the determination of trace amount of phathalate esters in effluent water of the wastewater treatment plant and the lixivium of plastic fragments.     

基于复合区位熵的中国油气资源产业集群识别

油气产业集群识别为完善区域油气产业发展规划和明确不同区域油气产业集群发育程度差异提供科学依据。本文油气产业集群识别包括产业集群地理边界确定和产业集群辨认,选择行政区划省(直辖市或自治区)作为油气产业集群识别的地理边界;基于企业数量区位熵、产业产值区位熵和就业区位熵提出复合区位熵概念CLQ,并据此将我国12个油气资源富集省区依油气产业集群发育程度辨认(识别)为三个梯队:第一梯队包括新疆、黑龙江、辽宁、天津、山东、甘肃6省区,油气产业上、下游均不同程度地发育产业集群;第二梯队包括陕西、吉林、河北、四川、青海5省区,油气产业上、下游并非均发育产业集群;第三梯队为河南,油气产业上、下游均不发育产业集群;进一步计算12省区油气产业上、下游的CLQ差值,结果表明,总体上我国这12个油气资源富集省区油气产业下游相对于上游发育不足,油气产业链出现"上游大,下游小"的畸形格局。     

Image Themes and Frames in US Print News Stories about Climate Change

Research on frames in climate change (CC) news coverage has advanced substantially over the past decade, but the emerging understanding of the framing role of visual imagery that often accompanies news texts remains fragmented. We report on a set of image frames identified through content analysis of 350 images associated with 200 news articles from 11 US newspaper and magazine sources from 1969 through late 2009. We reliably identified and quantified the occurrence of 118 image themes. We then hierarchically clustered the themes based on their co-occurrence in images to identify an integrated framework of 42 image frames. We highlight frames associated with particular types of images (e.g., photographs and maps) or geographic regions. From among the full set of frames, we identify 15 that commonly appear in US CC news imagery and discuss the ways in which image frames make salient (or render invisible) particular categories of people, geographic regions, aspects of science, and spheres of activity.     

基于云推理和模糊逻辑关系模型的干旱等级预测方法研究

针对月平均降水量时间序列存在模糊性和随机性的特点,给出一种结合云推理和模糊逻辑关系的干旱等级预测方法。采用徐州站1951~2014年逐月降水量数据,通过计算标准化降水指数(SPI),得到实测干旱等级序列,以1952~2013年SPI指数数据作为样本数据,并提取样本模糊时间序列的52条模糊逻辑推理规则,将某月份的SPI指数数据作为输入变量,利用云发生器进行云推理,得到未来相应月份的干旱等级预测结果。结果表明,研究方法对干旱发生具有一定预测能力,尤其是对无旱的预测比较准确,但是对于干旱状态突变的预测能力较弱,主要是由于发生严重旱灾的可能性较少,导致模糊推理规则较少。因此,对于江苏省以轻旱为主的苏北地区,可以作为早期干旱预警的参考。