滏阳河主要水环境污染物空间分布特性研究

滏阳河是海河流域的重要河流,断流现象和污染极其严重.本文在相关水文资料和实地野外考察的基础上,首先将平原区河流被分割成4个相互独立的河段,然后根据水样的总氮、总磷、COD、氨氮和硝态氮等污染指标的测定结果,在聚类分析的基础上对污染指标的空间相似性和差异性进行了分析,最后用因子分析的方法对不同河段的污染源进行了源解析.结果表明:滏阳河水体污染极为严重,主要污染指标超过5类标准,氨氮的污染最为严重;水体可分为3类,其分布有明显的地域特点,分别在有常规水补给的邯郸段、非常规水补给河段的上游和非常规水补给河段的下游;主要污染物的空间差异较大,氨氮的差异最为明显;河流水环境污染物主要有3种来源,分别是耗氧型有机污染物、氮类污染物和磷类污染物,不同河段各种污染物来源的贡献有所不同.     

黄顶菊入侵对土壤磷细菌多样性的影响

采用选择性培养基和rep—PCR聚类分析等手段,通过盆栽试验,研究了入侵植物黄顶菊对土壤中磷细菌多样性的影响。结果表明,黄顶菊入侵后增加了土壤中无机磷和有机磷细菌的数量,入侵后其数量分别为人侵前的1．17倍和1．08倍。rep—PCR基因指纹分析结果显示,黄顶菊入侵前土壤磷细菌包含19个聚类群,其中无机磷细菌10个聚类群,有机磷细菌9个聚类群;入侵后土壤磷细菌包含22个聚类群,其中无机磷细菌11个聚类群,有机磷细菌11个聚类群。多样性分析结果表明,黄顶菊入侵后土壤中无机磷细菌的丰富度指数、香农一威纳多样性指数分别为11和2．369,高于入侵前的10和2．303;有机磷细菌的丰富度指数、香农一威纳多样性指数分别为11和2．398,高于入侵前的9和2．197,而2种细菌的物种均匀度指数基本不变。本文从土壤微生态学的角度初步探讨了黄顶菊入侵对土壤微生物群落中磷细菌的影响,为进一步研究黄顶菊入侵的地下化感机制和竞争机制提供一定的理论依据。     

雾天气下二次气溶胶均质成核生长过程

二次气溶胶的核化过程涉及分子杂乱运动和碰撞,在分子间的范德华力作用下,大气环境系统中产生分子聚合,形成分子团、胚胎和核.基于此建立二次气溶胶核化和生长模型,并且采用颗粒群平衡模拟和多重蒙特卡洛方法,对雾天气下水汽均质同分子核化及H₂O-H₂SO₄均质异分子核化的过程开展热力学和动力学数值研究. 结果表明:在水汽均质核化过程中,当水汽过饱和比从2增至10时,水汽的成核速率增加约73个数量级,形成临界胚胎所需的分子数降低了97.3%. 而对于H₂O-H₂SO₄均质异分子核化过程,在环境温度271.15 K,气态H₂SO₄分子数浓度为5×107cm-3条件下,当RH(相对湿度)由80%增至100%时,二次气溶胶成核速率增加1.4倍;在气态H₂SO₄分子数浓度较高、RH较大时,核化形成的临界胚胎粒径较小. 经过均质核化生长后,二次气溶胶粒径处于1.5～3.5 nm.      

Chemometrical analysis and quality control of pot water and its sources from Athens,Greece

The present study describes a chemometrical interpretation of a large data set from pot water quality control results. Sixteen chemical and physicochemical parameters constantly checked throughout the year were involved in the classification procedure. The data originate from seventeen sampling stations (pot water sources and pot water purification stations) and were collected in the period January ‐December 1993. Mean values for two months periods were introduced to the chemometrical procedure, so finally a data set 101x16 was formed. Additionally, quality control requirements of the European Union for pot water were added to the set to form an information input matrix of 103x16 elements. Hierarchical and non‐hierarchical clustering procedures were applied in order to reveal the internal structure of the data set. Some interesting conclusions like special water quality of lake Mornos, possibility of quality monitoring with lesser number of components etc., concerning the quality and stability of the pot water sources and quality characteristics of the samples are made.     

Trace metals used as natural markers for discriminating some karstic freshwaters near Trieste (Italy)

Some heavy metals have been determined using voltammetry in freshwaters forming part of a karstic hydrological system (the Timavo River, north of Trieste), during attempts to characterize and discriminate the different sources of the springs. The trace elements can be considered natural markers, with lead appearing to be the most discriminating variable. Non parametric statistics and cluster analysis were used to estimate the significance of the determined parameters with respect to the considered ecosystem.     

运用相对组成探针技术研究青藏高原POPs大气传输与来源

为探讨青藏高原大气POPs(持久性有机污染物)空间分布趋势、来源和传输特征,应用POPs相对组成探针技术对16个大气被动采样观测点的数据进行分析,将青藏高原空间尺度上的采样点聚为不同的组,以探讨污染物来源及大气传输过程. 结果表明:青藏高原大气中的HCB(六氯苯)主要来自于本地燃烧,其中人类活动较为频繁的城镇(波密、格尔木、玉树、拉萨、工布江达、拉孜、那曲)具有较高的HCB相对组成(25%～74%). 青藏高原南缘(包括珠峰、然乌、萨嘎)以南亚正在使用的农药——HCHs(六六六)和α-Endo(硫丹)为特征(二者的相对组成之和超过了40%),凸显了南亚污染排放经长距离传输对青藏高原的影响. 剔除HCB影响后,青藏高原中部、东南部河谷地区(鲁朗、拉孜、拉萨、日喀则、工布江达、昌都)及那曲、狮泉河因具有较高的o,p'-DDT相对组成而聚为一组,平均值为40%,表明这些采样点可能受到本地污染排放的影响.      

东北典型湖库水体对铜绿微囊藻荧光特性的影响

为考察东北典型湖库水体对铜绿微囊藻(Microcystic aeruginosa)生长过程中IDOM(细胞内溶解性有机物)荧光特性的影响,在镜泊湖、兴凯湖、五大连池、松花湖和大伙房水库5个典型湖库,共10个采样点采集水样,用于铜绿微囊藻的培养,利用EEM(三维荧光光谱)技术,结合三维荧光FRI(区域体积积分)开展IDOM荧光特性的聚类分析. 结果表明:铜绿微囊藻中IDOM的主要荧光特征峰为类蛋白荧光峰(峰S和峰T),峰S荧光强度高于峰T;对IDOM的三维荧光光谱分为5个区(Ⅰ～Ⅴ区)进行区域体积积分,荧光响应值比例(P_Ⅰ+Ⅱ,n和P_Ⅳ,n)总体上呈互补趋势;Ф_T,n(总区域体积积分)表现为镜泊湖>五大连池>兴凯湖>松花湖>大伙房水库,第16天镜泊湖的Ф_T,n最大,平均值为9.76×10-5 AU·nm2/(mg/L);大伙房水库的Ф_T,n最小,平均值为3.72×10-5 AU·nm2/(mg/L). 聚类分析将10个采样点分成3类. HJ1、HJ2采样点为类别1;HX1、LD1、JS1、LD2采样点为类别2;HX2、JS2、HW2、HW1采样点为类别3,其中,类别1(镜泊湖)水体较类别2和类别3水体更适宜铜绿微囊藻的生长.      

Evaluation of the performance of rural wastewater treatment plants using chemical measurements in combination with statistical techniques: a case study

The performance of a wastewater treatment plant was assessed statistically using multivariate cluster and principle component analysis. This was after measuring some physico-chemical properties in the influent, effluent, downstream, and upstream waters over a 4-month period. The cluster analysis grouped the sampling sites into three clusters: relatively non-polluted (upstream), medium polluted (downstream), and polluted (influent and effluent). The polluted water was further subdivided into very highly (influent) and highly (effluent) polluted. The grouping of influent and effluent into one cluster was due to some water quality parameters such as amount of copper, lead, and phosphates that are not efficiently removed by the plant. Using principal component analysis, samples from the same site taken over a period of 4 months were scattered, indicating inconsistencies in the performance of the plant. This was more pronounced during the rainy season, suggesting that increased water volumes from open sewers make the already poorly performing plant worse. The major loading factors found by principle component analysis were phosphate, lead, iron, zinc, copper, pH, and conductivity. Generally, the wastewater treatment system was found to be efficient in removing heavy metals and these were found in the sludge, but not anions. The mean percentage metal removal could be arranged in the following decreasing order: iron (85%)?>?zinc (57%)?>?copper (40%) and lead (38%) following the concentrations (mg?kg^?1) found in the sludge: iron (11,300)?>?zinc (820)?>?copper (180)?>?lead (20)?>?cadmium (3). Phosphate and iron concentrations in the effluent were found to be above the South African Bureau of Standards (SABS) recommendations. The major cause of poor performance is the high volume of the wastewater, exceeding the capacity of the plant 10 times.     

太子河着生藻类群落结构空间分布特征

以辽宁省太子河流域为研究范例,调查了全流域内69个采样点的着生藻类群落和水环境理化特征,并且以着生藻类的群落结构为基础,对太子河流域的水生态系统类型区进行了划分. 结果表明,太子河流域着生藻类群落结构具有明显的空间异质性. CCA(典范对应分析)结果显示,驱动全流域着生藻类群落结构形成的水环境因子为电导率、ρ(TDS)(TDS为总溶解固体)和ρ(TN). 基于着生藻类的群落结构特征,将太子河流域划分为3个着生藻类类型区:第1分区为太子河上游的森林多水区,第2分区为中游低山丘陵森林区,第3分区为下游平原农业区. CCA结果还显示,显著影响第1分区、第2分区及第3分区的着生藻类群落结构的环境因子分别为ρ(NO₃--N)、ρ(TN)及ρ(总溶解固体)和硬度.      

Analysis of the ph in Europe during the period 1986–1997

The annual averages (1986–1997) of pH are analysed for the most important European Monitoring and Evaluation Programme stations in Europe. The first objective is to discover the different temporal patterns and trends for the pH. To do this, a cluster analysis is developed. The trends are analysed by linear regression for the annual averages. In general, the pH shows an increasing trend significant at 0.05 level and the annual change ranging from +0.01 to +0.05 pH‐units per year for the different clusters obtained. The second objective is to examine the spatial variability of pH in precipitation through the use of principal component analysis. Six statistically significant modes of variability are obtained for the pH which represent the 84.5% of the total variance.