硫化物标准溶液稳定性的探讨

对硫化物标准溶液保存时间进行了探讨，试验结果表明，在低温冷藏和密封贮存的条件下，配置好的硫化物标准溶液性质比较稳定，可以保存12个月，大大降低了试剂消耗，提高了工作效率．并结合多年的分析体会，提出了分析过程中应注意的几个事项，在实际工作中有一定的推广应用价值．     

新疆环境监测总站顺利通过国家上岗证考核

2014年7月6～8日，受中国环境监测总站委派，由上海市环境监测中心、安徽省环境监测中心站、湖南省环境监测中心站一行4人组成的国家上岗证考核专家组，对新疆环境监测总站进行了上岗证考核。新疆环境监测总站高度重视上岗证考核工作，全站上下全力以赴，科学安排，认真准备，多次召开内审会议，查摆问题，督促相关科室和人员进行整改，开展了多个专项技术培训，并进行了摸底考试。另所有参考人员开展了百分之百的自认定考核，为全面迎接上岗证考核做好了充分的准备。经过3天紧张忙碌的考核，新疆环境监测总站31名持证上岗人员、10大类，531项次顺利通过了考核，考核成绩得到了专家组的充分肯定。通过此次上岗证考核进一步提升了本站的队伍素质和人员能力，单位质量管理体系得到更进一步完善，为今后的转型发展奠定了坚实的基础。     

珠三角地区区域空气质量实况发布体系建设

在分析国内外空气质量发布情况的基础上，确定了区域空气质量实况发布的内容与形式，并以此为指导优化了区域空气质量监测网络，创立了网络化质量保证与质量控制体系，建立了发布数据的自动化审核方法与工作流程，开发了区域空气质量空间分析优化算法与集成展示技术，设计、研制了区域空气质量实况发布平台，并创新了实况发布体系运行管理机制，顺利实现了珠三角区域空气质量实况发布。同时对我国空气质量信息发布进行了展望。     

高等级公路交通噪声分析与防治

噪声不仅干扰人们的正常生活，严重时可以危害人的身心健康．随着交通事业的快速发展，一大批高速公路迅速建成，交通噪声污染不容忽视．对西宝高速公路沿线交通噪声进行了实地昼夜监测，结果表明交通噪声夜间超标较为严重，干扰了沿线居民的正常生活．分析了污染现状和原因，并提出了降低道路交通噪声的一些简单措施．     

臭氧激光雷达技术及应用研究进展

差分吸收臭氧激光雷达是完善光化学立体监测体系的重要技术，因其高时空分辨率的廓线探测优势而得以迅速发展，目前已被广泛应用于对流层臭氧浓度的遥感探测。阐述了臭氧激光雷达的原理，归纳总结了雷达系统及关键技术的国内外最新研究进展，梳理了臭氧激光雷达在环境领域的应用现状，并基于我国城市臭氧污染问题现状和管理需求，初步探索设计了臭氧激光雷达监测网络业务应用的整体框架。指出了臭氧激光雷达技术及应用中存在厂家众多但缺乏统一的技术规范和行业标准，数据质量及准确性有待提高，与标准分析方法产生数据的可比性较差等不足之处；提出了核心部件国产化，系统小型化、自动化及商用化，多平台以及与其他监测方式联用等发展趋势。     

净水厂氯气泄漏的环境风险分析

以丹阳净水厂为例，选取大气非正常排放模式，预测了液氯钢瓶阀门泄漏及爆炸对周围环境和保护目标的影响，并模拟了钢瓶爆裂事故的后果，计算出事故发生时的初始警戒区半径，提出了相应的氯气泄漏防范措施。     

遥感监测土壤湿度综述

遥感技术具有大面积同步观测，时效性、经济性强等特点，为大面积动态监测土壤湿度提供了可能。本文对近年来国内外遥感监测土壤湿度的理论、方法的发展和应用进行了回顾，重点介绍了目前已经比较成熟和广泛应用的基于可见光与热红外波段的植被指数方法以及在干旱、半干旱地区的应用，通过对比分析了各种遥感监测方法的优缺点，指出了土壤湿度遥感监测方法存在的不足，展望了土壤湿度遥感监测方法的发展趋势。     

氯化聚乙烯生产废水循环利用实例

文章从介绍氯化聚乙烯生产工艺入手，分析了项目实施前后水平衡，对项目实施前后新鲜水，中水使用及废水排放量进行了比较，对项目实施的技术、经济可行性进行了论证，阐述了项目实施一年来取得的经济、环境和社会效益，揭示了本项目实施对同行业和周围企业的示范引导作用。     

QC8500型流动注射分析仪在总磷测定中的常见问题研究

介绍了流动注射分析方法（FIA）在测定水中总磷时的常见问题，如基线漂移，峰形不规则，伴有气泡峰、不出峰或峰面积重现性差等，并提出了相应的解决办法，为FIA在环境监测领域的广泛应用提供了技术指导和帮助。     

流动注射法测定水中总磷的研究

通过实验研究了流动注射法测定水中总磷的优越性，对方法的检出限、精密度和准确度进行了测定，并与钼酸铵分光光度法进行了比对，取得了满意的结果．     

环境地球物理在污染场地调查中的现状及展望

简述了国内外对不同污染场地调查环境地球物理方法的研究现状及成果,指出了目前存在的问题.针对污染场地调查污染深度浅、污染浓度低的特点,提出了建立重金属污染在浅层迁移的数学物理模型和提高设备检测精度的必要性.对环境地球物理方法在环境领域的应用进行了展望.     

A data-mining approach to predict influent quality

In wastewater treatment plants, predicting influent water quality is important for energy management. The influent water quality is measured by metrics such as carbonaceous biochemical oxygen demand (CBOD), potential of hydrogen, and total suspended solid. In this paper, a data-driven approach for time-ahead prediction of CBOD is presented. Due to limitations in the industrial data acquisition system, CBOD is not recorded at regular time intervals, which causes gaps in the time–series data. Numerous experiments have been performed to approximate the functional relationship between the input and output parameters and thereby fill in the missing CBOD data. Models incorporating seasonality effects are investigated. Four data-mining algorithms—multilayered perceptron, classification and regression tree, multivariate adaptive regression spline, and random forest—are employed to construct prediction models with the maximum prediction horizon of 5 days.     

Uncertainty in Integrated Assessment Models of Climate Change: Alternative Analytical Approaches

Uncertainty plays a key role in the economics of climate change, and research on this topic has led to a substantial body of literature. However, the discussion on the policy implications of uncertainty is still far from being settled, partly because the uncertainty of climate change comes from a variety of sources and takes diverse forms. To reflect the multifaceted nature of climate change uncertainty better, an increasing number of analytical approaches have been used in the studies of integrated assessment models of climate change. The employed approaches could be seen as complements rather than as substitutes, each of which possesses distinctive strength for addressing a particular type of problems. We review these approaches—specifically, the non-recursive stochastic programming, the real option analysis, and the stochastic dynamic programming—their corresponding literatures and their respective policy implications. We also identify the current research gaps associated with the need for further developments of new analytical approaches.     

环境磁学在重金属污染研究中的应用

20世纪60年代以来,环境磁学以快速、灵敏、经济、无破坏性和信息量大等特点被广泛应用到环境污染研究中。笔者介绍了环境磁学应用于重金属污染监测的基本原理和优势,系统综述了其在大气,水体(湖泊、河流和海岸等)和土壤等环境重金属污染监测中的主要成果和最新进展,包括磁学参数可作为重金属污染物质代用指标,以及环境磁学在重金属污染分布特点和污染程度鉴定、重金属污染历史重建、重金属污染物运移追踪等方面的应用。提出了重金属污染磁性诊断研究还需要解决的问题,包括磁学参数多解性,其他环境过程(动力分选、吸附解吸和早期成岩等)的干扰和影响,磁性矿物与重金属物质赋存关系及多学科交叉研究等。     

Determination of chlorophyll-a amount in Golden Horn, Istanbul, Turkey using IKONOS and in situ data

The objective of this research was to explore an accurate and fast way of estimating chlorophyll-a amount, a water quality parameter (WQP), using IKONOS satellite sensor image and in situ measurements. Since the in situ data of WQPs are limited with the number of sampling locations, deriving a correlation between these measurements and remotely sensed image allows synoptic estimates of the related parameter over large areas even if the areas are in remote and inaccessible locations. In this study, simultaneously collected satellite image data and in situ measurements of chlorophyll-a were correlated using multivariate regression model. Different experiments were designed by changing the numbers and distributions of in situ measurements. Regression coefficients of each design and differences between model-derived data and in situ measurements were calculated to find out the optimum design to produce chlorophyll-a map of study region. Results illustrated that both the number and distribution of in situ measurements have impact on regression analysis, therefore should be selected attentively. Also, it is found that IKONOS imagery is an efficient and effective source to derive chlorophyll-a map of the large areas using limited number of ground measurements.     

A perspective on the prevalence of DNA enteric virus genomes in anaerobic-digested biological wastes

The major goal of this study is to gain a perspective on the prevalence of DNA enteric virus genomes in mesophilic anaerobic-digested (MAD) sewage sludge and manure by comparing their quantitative PCR (qPCR) concentrations and removals with traditional fecal indicators (Escherichia coli, enterococci, and Bacteroidetes). In addition, relationships between qPCR and culture measurements of fecal indicators (FIs) were determined. There was no significant difference between the qPCR concentrations of human adenovirus and E. coli/enterococci in MAD sewage sludge; however, the qPCR concentrations of bovine adenovirus were significantly lower than FIs and bovine polyomavirus (BPyV) in MAD manure. The qPCR concentrations of human polyomavirus were slightly lower than E. coli and enterococci (p ≤ 0.05), but no significant difference was observed between the qPCR concentrations of BPyV and FIs. The digestion treatment achieved higher genome removal of bovine DNA enteric viruses than FIs (p ≤ 0.05). Significant correlations were observed between qPCR and culture measurements of FIs, but the concentrations and removals of FIs determined by qPCR assays were still significantly different than those determined by culture assays. Overall, we determined that the prevalence of DNA enteric virus genomes in MAD biological wastes was high due to their comparable in qPCR concentrations to FIs, indicating that mesophilic anaerobic digestion treatment alone may not be effective enough to remove DNA viral pathogens in biological wastes.     

Atmospheric ambient trace element concentrations of PM10 at urban and sub-urban sites: source apportionment and health risk estimation

In this study, PM₁₀ concentrations and elemental (Al, Fe, Sc, V, Cr, Mn, Co, Ni, Cu, Zn, As, Se, Mo, Ag, Cd, Sn, Sb, Ba, Pb, and Bi) contents of particles were determined in Düzce, Turkey. The particulate matter samplings were carried out in the winter and summer seasons simultaneously in both urban and sub-urban sampling sites. The average PM₁₀ concentration measured in the winter season was 86.4 and 27.3 μg/m³, respectively, in the urban and sub-urban sampling sites, while it was measured as 53.2 and 34.7 μg/m³ in the summer season. According to the results, it was observed that the PM₁₀ levels and the element concentrations reached higher levels, especially at the urban sampling site, in the winter season. The positive matrix factorization model (PMF) was applied to the data set for source apportionment. Analysis with the PMF model revealed six factors for both the urban (coal combustion, traffic, oil combustion, industry, biomass combustion, and soil) and sub-urban (industry, oil combustion, traffic, road dust, soil resuspension, domestic heating) sampling sites. Loadings of grouped elements on these factors showed that the major sources of the elements in the atmosphere of Düzce were traffic, fossil fuel combustion, and metal industry-related emissions.     

Fractionation of eleven elements by chemical bonding from airborne particulate matter collected in an industrial city in Argentina

A four-step chemical sequential extraction procedure was used to evaluate the distribution of Al, As, Cr, Cu, Fe, Mn, Ni, Pb, Ti, V and Zn in airborne particulate matter collected on glass fibre filters using a high-volume sampler. Two sets of samples were collected in 2001 (winter and summer campaigns) in representative zones of an industrial city of Argentina. The leaching scheme was applied to PM-10 particles and consisted in extracting the elements in four fractions, namely soluble and exchangeable elements; carbonates, oxides and reducible elements; bound to organic matter and sulfidic metals; and residual elements. Metals and metalloids at microg g(-1) level were determined in each fraction by inductively coupled plasma optical emission spectrometry (ICP OES). Analyte concentration varied from 14 microg g(-1) (equivalent to 1.0 ng m(-3)) for As to 11.8 mg g(-1) (equivalent to 2,089 ng m(-3)) for Al. Seven elements, namely Al, Cr, Fe, Mn, Pb, Ti and Zn showed similar distributions in both seasons while As was distributed in a significantly different manner in each season. The results exhibited low As contents in the first and second fractions that could be associated with routine coal combustion and a high content in the third and fourth fractions of the summer samples that could be linked to the use of pesticides. Aluminium, As, Cu, Mn, Ni, Ti, V and Zn were found in different percentages in the more bioavailable aqueous fraction with As, Mn, V and Zn exhibiting solubilities greater than 1% while Cr and Pb being insoluble. The content of Al, Cr, Cu, Fe, Ni, Pb, and Zn in the residual fraction was, in average, higher than 50%. A comparative assessment of the use of the underlying information available from fractionation studies compared to that obtained from total element content was done for Fe and Mn. It showed that the results obtained using chemical sequential extraction procedures allowed further discrimination of the potential air pollution sources.     

Sampling state and process variables on coral reefs

Contemporary coral reefs are forced to survive through and recover from disturbances at a variety of spatial and temporal scales. Understanding disturbances in the context of ecological processes may lead to accurate predictive models of population trajectories. Most coral-reef studies and monitoring programs examine state variables, which include the percentage coverage of major benthic organisms, but few studies examine the key ecological processes that drive the state variables. Here we outline a sampling strategy that captures both state and process variables, at a spatial scale of tens of kilometers. Specifically, we are interested in (1) examining spatial and temporal patterns in coral population size-frequency distributions, (2) determining major population processes, including rates of recruitment and mortality, and (3) examining relationships between processes and state variables. Our effective sampling units are randomly selected 75 × 25 m stations, spaced approximately 250?C500 m apart, representing a 10³ m spatial scale. Stations are nested within sites, spaced approximately 2 km apart, representing a 10⁴ m spatial scale. Three randomly selected 16 m² quadrats placed in each station and marked for relocation are used to assess processes across time, while random belt-transects, re-randomized at each sampling event, are used to sample state variables. Both quadrats and belt-transects are effectively sub-samples from which we will derive estimates of means for each station at each sampling event. This nested sampling strategy allows us to determine critical stages in populations, examine population performance, and compare processes through disturbance events and across regions.     

Seasonal variation of polycyclic aromatic hydrocarbons in soil and air of Dalian areas, China: an assessment of soil-air exchange

The seasonal variations of concentrations of PAHs in the soil and the air were measured in urban and rural region of Dalian, China in 2007. In soil, mean concentrations of all PAHs in summer were larger than those in winter, whereas the concentrations of heavier weight PAHs in winter were larger than those in summer. Winter/summer concentration ratios for individual PAHs (R(W/S)) increased with the increase of molecular weight of PAHs in soil, indicating that PAHs with high molecular weight were more easily deposited to soil in winter than summer. In air, mean concentrations of all PAHs in winter were larger than those in summer. In comparison with the R(W/S) in soil, all the values of R(W/S) in air were larger than one indicating that the entire individual PAH concentrations in winter were larger than those in summer. The average concentration composition for each PAH compound in soil and air samples was determined and the seasonal change of PAH profile was very small. It was suggested that PAHs in soils and air had the same or similar sources both in winter and summer. The approach to the soil-air equilibrium was assessed by calculating fugacity quotients between soil and air using the soil and air concentrations. The calculated soil-air fugacity quotients indicated that soil acted as a secondary source to the atmosphere for all lighter weight PAHs (two-three rings) and it will continue to be a sink for heavier weight PAHs (five-six rings) in the Dalian environment, both in winter and summer. Medium weight PAHs (four-five rings) were close to the soil-air equilibrium and the tendency shifted between soil and air when season or function region changed. The fugacity quotients of PAHs in summer (mean temperature 298 K) were larger than those in winter (mean temperature 273 K), indicating a higher tendency in summer than winter for PAHs to move from soil to air. The variation of ambient conditions such as temperature, rainfall, etc. can influence the movement of PAHs between soil and air. Most of the fugacity quotients of PAHs for the urban sites were larger than that for the rural site both in winter and summer. This phenomenon may be related with that the temperatures in urban sites were higher than those in the rural site because of the urban heat island effect.