公布空气质量报告 市民更加关注环境

南京市环境监测中心站在全国率先开展空气质量周报,之后又开展了空气质量日报,向市民公布空气质量状况,使环境监测成果走向社会,服务于百姓,增强了全社会的环境保护意识,提高了市民关心环境,保护环境的自觉性,并推动了空气污染防治工作,促进了环境监测工作,体现了     

城市空气质量周报效用分析

介绍了世界上一些发达国家的空气污染预报的做法和采取的措施,阐述了我国开展空气质量预报的方针和方法,指出了周报是预报的基础工作。叙述了我国空气质量周报的污染参数的选取、污染指数的分级及其浓度限值和污染指数计算及确定,分析并总结了开展城市空气质量周报所发挥的效用是提高公众的环保意识,加大了治理污染的力度,转变了环境监测的职能,促进了环境监测事业的发展     

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。     

环境监测信息化建设分析——走中国式环境监测信息化建设道路

从环境监测信息化建设现状分析入手,比较了中国的环境监测站与国外实验室在功能、管理方式和发展历程上的不同,剖析了信息化建设思路,并结合我国环境监测工作的实际情况,提出了环境监测管理信息系统的建立框架,同时分析了信息化建设的难点并提出了对策.     

连云港市水质自动监测系统预警体系的建立

设计了一套完整的水质自动监测系统预警体系。建立了完整的组织机构和预警模式,明确了人员分工和污染事故判定,并介绍了各项应急处置措施。使系统能在良好的运行状态下,及时监控到污染的发生,取得了良好的预警效果。     

水华蓝藻复苏的研究进展与水华预测

综合分析了当前国内外水华复苏的研究进展,确定了水华蓝藻复苏的定义,介绍了研究蓝藻复苏的方法,以及蓝藻复苏对水体中蓝藻种群生物量以及当年蓝藻水华形成的贡献,探索了驱动水华蓝藻复苏的环境因子。结合太湖的研究成果,阐述了研究水华蓝藻复苏在进行水华预测中的重要作用,并展望了未来研究的重点。     

一种汽车源排放模型——IVE模型简介

系统介绍了美国环保局应用于汽车源排放计算的IVE模型,分析了模型的结构和理论基础,着重介绍了模型中使用的VSP的概念以及Bin的划分,为模型及其参数的修正提供了理论指导,同时讨论了模型的发展及其适应性.     

南京青奥会空气质量保障监测工作体系研究

根据南京青奥会空气质量保障目标,建立了青奥会环境空气质量保障监测体系。青奥会期间,实时监控了区域空气质量状况,科学预测了空气质量未来变化趋势,成功发布了大气污染预警,启动了应急联动措施,为青奥会空气质量保障提供了科学的技术支撑。     

污泥处理与处置技术研究进展

本文综述了污泥处理与处置技术的现状,总结了该领域内新技术的应用,展望了污泥处理与处置技术的发展趋势,并提出了相关建议。     

论中国环境监测的现代化建设

论述了在中国现阶段推进环境监测现代化的重要意义和历史机遇,指出了中国环境监测发展的现代化方向,阐述了中国环境监测现代化建设的内容,强调了科学监测的理念。     

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.     

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.     

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.     

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.