香溪河库湾氮的时空分布及影响因子分析

为研究解决香溪河库湾水体富营养化问题,需探明库湾水体氮的时空分布及影响因子。2010年12月—2011年11月对香溪河与水库干流交界处至香溪河库湾尾部共12个采样点进行连续监测,分析香溪河库湾氮的时空分布,结果表明,香溪河库湾氮存在明显的时空分布规律。空间上,回水末端处TN和NO₃^--N浓度低,河口处浓度高,随着与回水末端距离的增加,浓度逐渐升高。在时间上,香溪河库湾TN和NO₃^--N浓度的变异系数随着与河口距离的增加总体上逐渐增大,研究时间内的变化程度逐渐变大;且香溪河库湾TN和NO₃^--N浓度在三峡水库不同运行阶段的时间变化规律不同。     

颗粒物对污染源COD水质在线监测仪比对监测的影响

污水中的颗粒物是COD在线监测仪在比对监测时出现较大误差的原因之一,就颗粒物对COD在线监测仪是否产生影响以及影响效果进行了实验研究。研究结果表明,COD在线监测仪的预处理系统去除颗粒物会带来比对监测的误差,并且随着颗粒物浓度增加,误差增大;预处理系统过滤器尺寸也会对比对监测的误差产生影响,针对同一浓度水样,孔径越大误差越小,针对同一孔径过滤器则水样浓度越高误差越小。     

中国流域水环境生物监测体系构成和发展

分析了国外水环境生物监测体系的构成和特点;总结了中国生物监测的发展历程、基础、存在问题和发展需求;提出了体系发展的总体发展目标,即以流域为单元,以各级支流为监测区段,发展以实现流域水环境生态完整性评价为目的的综合监测体系;同时,着重介绍了重点发展内容:建立以市级站为核心的监测网络;建立包含4个板块的核心业务监测能力;开展生物监测业务标准化建设;进一步完善水环境质量评价报告。对全国监测系统生物监测体系的构成和发展提出建议:在总体发展目标指导下,完成构建水环境生物监测技术体系、构建全国水环境生物监测网络体系、建立数据管理与评价平台及建立运行保障体系4个分目标,实现中国环境管理以"污染防治"为重点到以"生态健康"为目的的转折。     

河流水生态环境质量评价方法研究与应用进展

河流生态质量的监测和评价是从河流生态系统健康状况的角度对河流质量进行的评价。河流生态健康的评价已经向多要素多指标综合、多种评价方法(预测模型法、生物完整性指数、多要素综合评价)、流域尺度方向发展。该文重点介绍了国外评价体系产生的背景和研究基础,分析了广泛应用的几类评价方法的特点、在不同国家和流域的应用情况以及各方法的应用前景,分析了国内开展河流生态质量评价研究的发展过程、阶段性研究进展和应用案例,并根据目前研究基础评述了我国评价体系现存问题及应用前景,为河流生态质量评价体系的建立及发展方向提供建议和参考。     

松花江流域生物完整性时空变化分析

采用大型底栖动物生物完整性指数(B-IBI)法对松花江流域的水生态环境质量进行研究分析。结果表明,2015年松花江流域各点位水生态环境质量17.24%为优、10.34%为良好、24.14%为一般、41.38%为较差、6.90%为很差。与2012年松花江流域水生态环境质量的比较和趋势分析表明,松花江干流下游、第二松花江、松花江支流的水生态质量均出现不同程度的改善,松花江干流下游改善尤为显著,松花江干流上游生态质量基本保持不变,嫩江水生态质量有下降迹象。流域总体水生态环境质量得到进一步改善,总物种数和清洁指示类群EPT丰度均有增加。     

Mapping afforestation and deforestation from 1974 to 2012 using Landsat time-series stacks in Yulin District, a key region of the Three-North Shelter region, China

The Three-North Shelter Forest Program is the largest afforestation reconstruction project in the world. Remote sensing is a crucial tool to map land use and land cover change, but it is still challenging to accurately quantify the change in forest extent from time-series satellite images. In this paper, 30 Landsat MSS/TM/ETM+ epochs from 1974 to 2012 were collected, and the high-quality ground surface reflectance (GSR) time-series images were processed by integrating the 6S atmosphere transfer model and a relative reflectance normalization algorithm. Subsequently, we developed a vegetation change tracking method to reconstruct the forest change history (afforestation and deforestation) from the time-series Landsat GSR images based on the integrated forest z-score (IFZ) model by Huang et al. (2009a), which was improved by multi-phenological IFZ models and the smoothing processing of IFZ data for afforestation mapping. The mapping result showed a large increase in the extent of forest, from 380,394 ha (14.8 % of total district area) in 1974 to 1,128,380 ha (43.9 %) in 2010. Finally, the land cover and forest change map was validated with an overall accuracy of 89.1 % and a kappa coefficient of 0.858. The forest change time was also successfully retrieved, with 22.2 % and 86.5 % of the change pixels attributed to the correct epoch and within three epochs, respectively. The results confirmed a great achievement of the ecological revegetation projects in Yulin district over the last 40 years and also illustrated the potential of the time-series of Landsat images for detecting forest changes and estimating tree age for the artificial forest in a semi-arid zone strongly influenced by human activities.     

气相色谱-高分辨双聚焦磁质谱测定水中超痕量多氯萘

采用固相萃取法处理水样,气相色谱-高分辨双聚焦磁质谱法测定水中超痕量多氯萘,同位素内标法定量,并对样品前处理条件和仪器条件进行优化。试验表明：方法在0．500 ng/L～500 ng/L范围内线性良好;当取样体积为1 L时,方法检出限为0．005 ng/L～0．01 ng/L;对实际水样进行2个质量浓度水平的加标回收试验,平行测定6次的 RSD为2．7％～8．7％,回收率为70．2％～110％。方法适用性试验表明,水样中复杂的基质对测定无影响。     

松花江流域水生态环境质量评价研究

采用生物完整性指数(IBI)法评价松花江流域的水生态环境质量。对25个候选生物参数进行敏感度分析、Pearson相关性分析,最终筛选出由总分类单元数、EPT分类单元数、EPT密度、敏感种分类单元比例、敏感物种数量、Hilsenhoff生物指数(HBI)6个核心参数构成的IBI评价指标。采用95%分位数法建立了IBI评价标准,将IBI评价结果划分为5个等级:大于35.84为优,26.88~35.84为良好,17.92~26.88为一般,8.96~17.92为较差,小于8.96为很差。结果表明,建立的IBI评价方法适用于松花江流域水生态环境质量评价,松花江流域各位点30.0%生物状况为优和良好,23.3%为一般;46.7%为较差和很差,说明流域内近一半区域的水生态质量存在不同程度的受损。流域生境质量主要处于一般-良好的状态;水质处于轻度污染。     

微波消解和ASD消解ICP-MS测定土壤中重金属元素的比较

采用微波消解和ASD消解2种消解方式对不同土壤样品进行消解,ICP-MS测定其中重金属含量。微波和ASD2种消解方式均能够较好地提取土壤中的Cr、Co、Ni、Mn和V元素,实验结果的相对误差和相对标准偏差均≤10%,符合实验分析的要求。微波消解精密度优于ASD,可作为优先选择的前处理方法。     

Risk assessment of heavy metals in road and soil dusts within PM2.5, PM10 and PM100 fractions in Dongying city, Shandong Province, China

15 road and 14 soil dust samples were collected from an oilfield city, Dongying, from 11/2009-4/2010 and analyzed by inductively coupled plasma-mass spectroscopy (ICP-MS) for V, Cr, Mn, Co, Ni, Cu, Zn, As, Cd and Pb within PM(2.5), PM(10) and PM(100) fractions synchronously. Metal concentrations, sources and human health risk were studied. Results showed that both soil and road dust exhibited higher values for Mn and Zn and lower values for Co and Cd for the three fractions. Mass concentration ratios of PM(2.5)/PM(10) and PM(10)/PM(100) for metals in road and soil dust indicate that most of the heavy metals tend to concentrate in fine particles. Geoaccumulation index and enrichment factors analysis showed that Cu, Zn and Cd exhibited moderate or heavy contamination and significant enrichment, indicating the influence of anthropogenic sources. Vanadium, Cr, Mn and Co were mostly not enriched and were mainly influenced by crustal sources. For Ni, As and Pb, they ranged from not enriched to moderately enriched and were influenced by both crustal materials and anthropogenic sources. The conclusions were confirmed by multivariate analysis methods. Principle component analysis revealed that the major sources were vehicle emission, industrial activities, coal combustion, agricultural activities and crustal materials. The risk assessment results indicated that metal ingestion appeared to be the main exposure route followed by dermal contact. The most likely cause for cancer and other health risks are both the fine particles of soil and road dusts.