Tolerance values of benthic macroinvertebrates for stream biomonitoring: assessment of assumptions underlying scoring systems worldwide

Tolerance values (TVs) based on benthic macroinvertebrates are one of the most widely used tools for monitoring the biological impacts of water pollution, particularly in streams and rivers. We compiled TVs of benthic macroinvertebrates from 29 regions around the world to test 11 basic assumptions about pollution tolerance, that: (1) Arthropoda are < tolerant than non-Arthropoda; (2) Insecta < non-Insecta; (3) non-Oligochaeta < Oligochaeta; (4) other macroinvertebrates < Oligochaeta + Chironomidae; (5) other macroinvertebrate taxa < Isopoda + Gastropoda + Hirudinea; (6) Ephemeroptera + Plecoptera + Trichoptera (EPT) < Odonata + Coleoptera + Heteroptera (OCH); (7) EPT < non-EPT insects; (8) Diptera < Insecta; (9) Bivalvia < Gastropoda; (10) Baetidae < other Ephemeroptera; and (11) Hydropsychidae < other Trichoptera. We found that the first eight of these 11 assumptions were supported despite regional variability. In addition, we examined the effect of Best Professional Judgment (BPJ) and non-independence of TVs among countries by performing all analyses using subsets of the original dataset. These subsets included a group based on those systems using TVs that were derived from techniques other than BPJ, and groups based on methods used for TV assignment. The results obtained from these subsets and the entire dataset are similar. We also made seven a priori hypotheses about the regional similarity of TVs based on geography. Only one of these was supported. Development of TVs and the reporting of how they are assigned need to be more rigorous and be better described.     

Characteristics and assessment of phthalate esters in urban dusts in Guangzhou city, China

Phthalate esters (PAEs) were examined in indoor and outdoor dust samples from the subtropical city of Guangzhou, China. The ∑(16)PAEs concentrations ranged from 121 to 3,223 μg g(-1) dust, with the median concentration of 840 μg g(-1) dust. Significantly higher concentrations of PAEs in dust samples were found in offices where electrical and electronic devices, carpet pads, and office furniture were widely used. Of the 16 PAEs, diisobutyl phthalate (DiBP), di-n-butyl phthalate (DnBP), and di(2-ethylhexyl) phthalate (DEHP) dominated the PAEs in indoor and outdoor dust samples, and accounted for >96.8% and >93.1% of the ∑(16)PAEs concentrations, respectively. The median daily inhalation exposure of ∑(16)PAEs were 3.53 and 0.247 μg kg(-1) body weight day(-1), and at the 95(th) percentile were 7.62 and 0.530 μg kg(-1) body weight day(-1), up on the measured concentrations and estimated dust ingestion rates, respectively, for toddles and adults. The ubiquitous distribution of PAEs as noted in this study suggests the need for detailed assessment of PAEs concentrations using more sites and to further investigate the factors influencing PAEs exposure in China.     

Removal of organic toxic chemicals using the spent mushroom compost of Ganoderma lucidum

The removal of the organic toxic chemicals di-n-butyl phthalate (DBP), di-2-ethyl hexyl phthalate (DEHP), nonylphenol (NP), and bisphenol-A (BPA) by laccase obtained from the spent mushroom compost (SMC) of the white rot fungi, Ganoderma lucidum, was investigated. The optimal conditions for the extraction of laccase from SMC required using sodium acetate buffer (pH 5.0, solid : solution ratio 1 : 5), and extraction over 3 h at 4 °C. The removal of NP was enhanced by adding CuSO(4) (1 mM), MnSO(4) (0.5 mM), tartaric acid (20 mM), 2,2'-azino-bis-(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS; 1 mM), and 1-hydroxybenzotriazole (HBT; 20 mg L(-1)), with ABTS yielding a higher NP removal efficiency than the other additives. At a concentration of 2 mg L(-1), DBP, DEHP, NP, and BPA were almost entirely removed by laccase after incubation for 1 day. The removal efficiencies, in descending order of magnitude, were DBP > BPA > NP > DEHP. We believe that these findings could provide useful information for improving the efficiency of the removal of organic toxic chemicals in the environment.     

杭州城区春节PM2.5中水溶性离子在线观测

利用大气细颗粒物水溶性组分在线连续监测分析系统(AIM-URG9000D),考察了杭州城区春节期间PM2.5中无机水溶性离子的浓度变化范围,探讨了这些离子的日变化特征和影响因素,同时分析了集中燃放烟花爆竹对水溶性离子浓度的影响。结果表明,SO2-4、NO-3、NH+4是PM2.5中水溶性离子的主要成分,分别占全部水溶性组分的33.3%、28.4%、19.4%;强致癌物质NO-2浓度为2.07μg/m3,远大于膜采样结果;NO-3与SO2-4的质量比为0.85,表明机动车尾气排放导致的大气污染正逐步加重;各水溶性离子有着各自不同的日变化规律。相关性分析表明,NH+4与NO-3、SO2-4的相关系数分别为0.92、0.81;K+、Cl-、Mg2+3者之间的相关系数均在0.9以上。烟花爆竹燃放期间,PM2.5浓度急剧上升,Cl-、SO2-4、K+、Mg2+浓度分别达到燃放前的18、6、53、76倍。     

水质自动监测在苏州市饮用水源地的应用与思考

以苏州市集中式饮用水源地自动监测系统为例,对该水质自动监测系统的特点、主要功能及在环境管理、蓝藻实时监控等方面的应用作了介绍,并就系统验收、运行管理及系统拓展方面提出了一些对策建议。     

上海市饮用水源地优先控制有机污染物筛选

综合考虑国外优先控制污染物筛选的方法,根据上海市集中式生活饮用水源地特定80项和地表水控制的109项以外项目、全市挥发性和半挥发性有机项目、水源地突发性应急事故有机污染物等实际监测数据和历年来微量有机污染物研究成果,制定饮用水源地优先控制有机污染物筛选的原则、程序和过程,对出现频率高、超标几率高、浓度高,可能对人体健康产生影响的有机污染物进行筛选,提出包括多环芳烃、酞酸酯、卤代烃和其他共4类7种上海市饮用水源地优先控制有机污染物名单.     

石家庄市冬季大气中VOCs污染特征分析

为弄清石家庄市冬季大气中VOCs的污染特征,采用美国环保局TO-15方法对石家庄市冬季大气中VOCs组成进行了定性和定量分析。在此基础上,进行了VOCs的月度变化分析、春节期间的变化分析,并进行了VOCs与空气质量指数AQI、PM2.5等之间的相关性分析;根据VOCs组成及变化情况和相关性,分析了其可能的来源。结果表明,石家庄市冬季大气中VOCs的质量浓度为145.7~1 410.7μg/m3,VOCs组分主要有丙酮、二氯甲烷、苯、乙酸乙酯、甲苯、1,2-二氯丙烷、三氯甲烷。春节期间,大气中VOCs的浓度有大幅的下降,比日常均值下降了40.9%。AQI较高时,大气中VOCs浓度有所升高。石家庄市冬季大气中丙酮、二氯甲烷、乙酸乙酯等主要来源于医药化工生产活动,苯、甲苯主要来源于煤燃烧。     

进口与国产COD消解测定仪测定废水COD的比对研究

应用消解分光光度法,比对了一款进口仪器和一款国产仪器应用于实际水样中COD含量测定的差异性。通过精密度、回收率、方法比对等实验分析得出,2款仪器应用电热消解分光光度法测定COD,实验结果与国标回流滴定法的实验结果基本一致,无显著性差异,具有可比性,可广泛用于水质评价和环境监测。与国产仪器相比,进口测定仪具有较小的偏差,较高的回收率。国产测定仪偏差较大的原因主要在于其比色装置,而不是用于前处理的消解装置。比较分析了2款仪器的购买和使用经济成本,为广大企事业及科研单位选用COD消解测定仪提供了有价值的基础数据和参考建议。     

Assessing the risk posed by high-turbidity water to water supplies

The objective of this study is to assess the risk of insufficient water supply posed by high-turbidity water. Several phenomena can pose risks to the sufficiency of a water supply; this study concerns risks to water treatment plants from particular properties of rainfall and raw water turbidity. High-turbidity water can impede water treatment plant operations; rainfall properties can influence the degree of soil erosion. Thus, water turbidity relates to rainfall characteristics. Exceedance probabilities are presented for different rainfall intensities and turbidities of water. When the turbidity of raw water is higher than 5,000 NTU, it can cause operational problems for a water treatment plant. Calculations show that the turbidity of raw water at the Ban-Sin water treatment plant will be higher than 5,000 NTU if the rainfall intensity is larger than 165 mm/day. The exceedance probability of high turbidity (turbidity >5,000 NTU) in the Ban-Sin water treatment plant is larger than 10%. When any water treatment plant cannot work regularly, its ability to supply water to its customers is at risk.     

北京市地下水污染源荷载影响评价

在阐述地下水污染源荷载影响基本概念的基础上,介绍了污染源荷载影响评价的3大要素:污染荷载等级、含水层敏感性及地下水价值,说明了评价体系、指标和方法及过程。根据主要污染源荷载分析,结合地下水环境现状,对北京市进行了分区,提出污染源管理措施。