Histopathological changes in zebrafish embryos exposed to DLPCBs extract from Zhanjiang coastal sediment

Dioxin-like polychlorinated biphenyls (DLPCBs) are ubiquitous persistent pollutants that cause adverse effects in many environmental organisms. DLPCBs in marine sediments can be absorbed by benthic organisms, bioaccumulate, and biomagnify through the food chain and threaten animal and human health. There are no reports of DLPCBs concentrations in the Zhanjiang Gulf seabed. This study was designed to investigate the concentration of DLPCBs in the Zhanjiang coastal sediment and histopathological changes in zebrafish (Diano rerio) embryos exposed to environmentally relevant concentrations of DLPCBs. Of the five sites selected, two sites TS and JSW contained DLPCBs at concentrations of 0.08 and 22.54 ng/g dry sediment, respectively. Two groups of zebrafish embryos were used. One group was exposed to 3.75, 7.5, 15, 30, and 60 mg/ml of DLPCBs extracted from the sediments sampled from the TS site and the second group to 4.375, 8.75, 17.5, 35, and 70 mg/ml of DLPCBs from JSW site from 0.75 h post-fertilization (hpf) to 96 hpf. The zebrafish exposed to 60 and 70 mg/ml of DLPCBs at 96 hpf displayed gross histopathological changes with cardiac lesions including pericardial edema being the most deleterious. Other changes observed were hydropic degeneration of gill filaments and hepatocytes, loss of intestinal folds, and uninflated swim bladder. It appears that only a few sites of the Zhanjiang gulf are contaminated with DLPCBs. This is the first report of histopathological changes in the gills, hepatocytes, intestines, heart, and the swim bladder in zebrafish embryos exposed to DLPCBs from a coastal sediment. Further studies with sampling at different stages of development are required to identify which organ/tissue is most sensitive to DLPCBs.     

气象因子对臭氧的影响及其在空气质量预报中的应用

为提高重庆市臭氧(O_3)预报准确率,利用2013—2015年5—10月O_3监测数据和气象数据,通过主成分分析、逐步回归分析等方法,确定了影响重庆O_3浓度的主要气象因素为最高温度、温差、太阳辐射、降水量、相对湿度、水气压和压差;通过基于O_3污染水平相似的主要气象控制因子筛选和最优组合的预报结果优化方法,提高了O_3预报准确率,使2016年5—8月O_3的AQI类别预报准确率由57.7%增至72.4%,O_3超标的预报准确率由38%增至46%。     

低温浓缩-气质联用分析污染源废气中环氧氯丙烷

建立了气袋采样-液氮低温浓缩-气质联用分析污染源废气中环氧氯丙烷的方法,优化了相关监测参数。优化后的方法在环氧氯丙烷质量浓度10~500μg/m~3范围内线性良好,相关系数0.999,加标回收率为72.1%~85.7%,相对标准偏差5%,气体进样量为5.0 mL时,检出限为4.37μg/m~3,可以满足废气中环氧氯丙烷监测的要求。     

过氯乙烯滤膜采样-酸消解-钼蓝光度法测定磷酸雾

建立了过氯乙烯滤膜采样 -酸消解 -钼蓝分光光度法测定磷化车间磷酸雾的监测方法。实验室模拟采样的捕集效率为 95 7%～ 99 1 %。单个实验室对含 5μg和 1 5μg样品进行多次测定 ,其相对标准差小于 5% ,样品加标回收率为 98 2 %～ 1 0 0 5% ,方法检测限为 0 0 0 7mg/m3。对标样测定 ,结果均在给定值范围内。用该法与等离子发射光谱法(ICP)对 5个样品进行比对测定 ,结果均令人满意。     

饮用水污染原因调查案例浅析

详细介绍了某饮用水源地水质突发性表现异常的调查过程,包括监测方案的制定,采用生产工艺排查、监测结果分析和试验模拟等方式相结合进行事故原因排查的过程,对于处理同类不明原因致水质污粢具有借鉴作用.     

扩散电化学法现场测定高湿度烟气中低浓度二氧化硫能力的 研究

根据目前定电位电解法出现的问题,对扩散电化学法测定固定污染源高湿度烟气中低浓度二氧化硫的能力展开研究。结果显示,扩散电化学法测定值与参比值保持较好的一致性,说明该方法不受固定污染源烟气浓度、湿度以及负压等因素的影响,对高湿烟气中低浓度二氧化硫具备较强测定能力,非常适合该状况下SO₂的现场测定。但是方法也受传感器制约,适用范围受到限制。     

黄岛电厂温排水对大型底栖生物群落的影响

以黄岛电厂温排水邻近海域为研究对象,2010年9月调查了电厂温排水对该海域大型底栖生物群落结构的影响。在9个站点共采集到大型底栖生物76种,平均生物量5．79 g/m2,平均密度830 m-2。利用Bray-Curtis相似性聚类对各样本大型底栖生物分析得出,调查区域可划分为4个群落。各样点Shannon-Wiener多样性指数在2．42～4．25之间,平均指数为3．67,其中靠近温排水区域站位的生物多样性呈现下降的趋势。丰度生物量比较（Abundance/biomass comparison, ABC）曲线分析结果显示,靠近排水口处的大型底栖生物群落受到一定程度的干扰。冗余分析（ RDA）结果表明,水温是影响底栖生物群落变化的最主要因子,对调查区域大型底栖生物群落变化的解释量达到60．5％,影响范围为排水口附近温升在3℃以上的区域。     

浅议福岛核事故后我国的辐射环境监测

概述了日本福岛发生核事故后,日本及我国辐射环境应急监测及结果,分析了我国辐射应急监测中的问题,提出完善辐射环境监测网络,加强辐射自动监测站及开展针对性辐射监测能力建设,科学规范应急预案,提升快速监测技术,加强辐射监测全过程质量管理体系建设的建议与方法。     

The dynamics of toxic and nontoxic Microcystis during bloom in the large shallow lake,Lake Taihu,China

Lake Taihu is a large shallow freshwater lake (surface area 2,338 km², mean depth 1.9 m) in China, which has experienced toxic cyanobacterial bloom dominated by Microcystis annually during the last few decades. In the present study, the dynamics of toxic and nontoxic Microcystis in three sampling stations (Meiliang Bay (site N2), Gonghu Bay (site N4), and the lake center area (site S4)) were quantified using quantitative real-time PCR (qPCR) during bloom periods from April to September, 2010. Our data showed that the abundance of toxic Microcystis and the toxic proportion gradually increased from April to August in water samples and reached the peak in August. During the study period, toxic Microcystis genotypes comprised between 26.2 and 64.3, between 4.4 and 22.1, and between 10.4 and 20.6 % of the total Microcystis populations in the three sampling sites, respectively. Correlation analysis suggested that there was a strong positive relationship between total Microcystis, toxic Microcystis and the toxic proportion. Chlorophyll a, total phosphorus, and water temperature were positively correlated with the abundances of total Microcystis and toxic Microcystis. Furthermore, the toxic proportion was positively correlated with total phosphorus (P?<?0.05) and water temperature (P?<?0.01), showing that global warming together with eutrophication could promote more frequent toxic blooms.     

Water chemistry in 179 randomly selected Swedish headwater streams related to forest production,clear-felling and climate

From a policy perspective, it is important to understand forestry effects on surface waters from a landscape perspective. The EU Water Framework Directive demands remedial actions if not achieving good ecological status. In Sweden, 44 % of the surface water bodies have moderate ecological status or worse. Many of these drain catchments with a mosaic of managed forests. It is important for the forestry sector and water authorities to be able to identify where, in the forested landscape, special precautions are necessary. The aim of this study was to quantify the relations between forestry parameters and headwater stream concentrations of nutrients, organic matter and acid-base chemistry. The results are put into the context of regional climate, sulphur and nitrogen deposition, as well as marine influences. Water chemistry was measured in 179 randomly selected headwater streams from two regions in southwest and central Sweden, corresponding to 10 % of the Swedish land area. Forest status was determined from satellite images and Swedish National Forest Inventory data using the probabilistic classifier method, which was used to model stream water chemistry with Bayesian model averaging. The results indicate that concentrations of e.g. nitrogen, phosphorus and organic matter are related to factors associated with forest production but that it is not forestry per se that causes the excess losses. Instead, factors simultaneously affecting forest production and stream water chemistry, such as climate, extensive soil pools and nitrogen deposition, are the most likely candidates The relationships with clear-felled and wetland areas are likely to be direct effects.