Concentrations,spatial distribution,and pollution assessment of heavy metals in surficial sediments from upstream of Yellow River,China

Surface sediments were collected from 122 sites in the upstream of the Yellow River, China. The concentration of Fe, Mn, Cu, Ni, Zn, Cr, Pb, and Cd in sediments was investigated to explore the spatial distribution based on statistics and interpolation method. The results suggested that the concentrations of heavy metals were lower than potential effect levels (PEL). The samples above threshold effect level (TEL) for Pb and Zn were less than 10%, while almost 50% of samples for Ni exceeded PEL. Pb and Zn in sediments performed little or no adverse effects on the aquatic ecosystems. Higher concentrations of all heavy metals occurred in Qinghai and Gansu sections; the concentrations of Cu, Ni, and Zn were significantly higher than the Inner Mongolia section. Lower concentration of Fe, Mn, Cu, Ni, and Zn appeared in Qinghai section; the concentrations of Fe, Mn, Cr, and Pb manifested relatively steady and similar distributions and approximately decreasing tendency along the upstream of Yellow River.

     

A prediction-based approach to modelling temporal and spatial variability of traffic-related air pollution in Montreal, Canada

Concentrations of traffic-related air pollution can be highly variable at the local scale and can have substantial seasonal variability. This study was designed to provide estimates of intra-urban concentrations of ambient nitrogen dioxide (NO₂) in Montreal, Canada, that would be used subsequently in health studies of chronic diseases and long-term exposures to traffic-related air pollution. We measured concentrations of NO₂ at 133 locations in Montreal with passive diffusion samplers in three seasons during 2005 and 2006. We then used land use regression, a proven statistical prediction method for describing spatial patterns of air pollution, to develop separate estimates of spatial variability across the city by regressing NO₂ against available land-use variables in each of these three periods. We also developed a “pooled” model across these sampling periods to provide an estimate of an annual average. Our modelling strategy was to develop a predictive model that maximized the model R². This strategy is different from other strategies whose goal is to identify causal relationships between predictors and concentrations of NO₂.Observed concentrations of NO₂ ranged from 2.6 ppb to 31.5 ppb, with mean values of 12.6 ppb in December 2005, 14.0 ppb in May 2006, and 8.9 ppb in August 2006. The greatest variability was observed during May. Concentrations of NO₂ were highest downtown and near major highways, and they were lowest in the western part of the city. Our pooled model explained approximately 80% of the variability in concentrations of NO₂. Although there were differences in concentrations of NO₂ between the three sampling periods, we found that the spatial variability did not vary significantly across the three sampling periods and that the pooled model was representative of mean annual spatial patterns.     

Effects of instrument precision and spatial variability on the assessment of the temporal variation of ambient air pollution in Atlanta, Georgia

Data from the U.S. Environmental Protection Agency Air Quality System, the Southeastern Aerosol Research and Characterization database, and the Assessment of Spatial Aerosol Composition in Atlanta database for 1999 through 2002 have been used to characterize error associated with instrument precision and spatial variability on the assessment of the temporal variation of ambient air pollution in Atlanta, GA. These data are being used in time series epidemiologic studies in which associations of acute respiratory and cardiovascular health outcomes and daily ambient air pollutant levels are assessed. Modified semivariograms are used to quantify the effects of instrument precision and spatial variability on the assessment of daily metrics of ambient gaseous pollutants (SO2, CO, NOx, and O3) and fine particulate matter ([PM2.5] PM2.5 mass, sulfate, nitrate, ammonium, elemental carbon [EC], and organic carbon [OC]). Variation because of instrument imprecision represented 7-40% of the temporal variation in the daily pollutant measures and was largest for the PM2.5 EC and OC. Spatial variability was greatest for primary pollutants (SO2, CO, NOx, and EC). Population-weighted variation in daily ambient air pollutant levels because of both instrument imprecision and spatial variability ranged from 20% of the temporal variation for O3 to 70% of the temporal variation for SO2 and EC. Wind     

Simulating the temporal changes of OCP pollution in Hangzhou, China

A dynamic fugacity model was applied to simulate the changes of contents and transfer fluxes of hexachlorocyclohexane (HCHs) and dichloro-diphenyl-trichloroethane (DDTs) from 1950s in the environment of Hangzhou, China. The receptors are composed of air, surface water, soils, sediment and biota compartments. The model provides a method to combine loadings of HCHs and DDTs from various sources with a series of physical-chemical processes to estimate concentrations and transport fluxes of HCHs and DDTs. Model results suggested that the calculated concentrations were in line with the observed ones. The highest contents of HCH and DDT in the environment of study area were 523 t and 471 t before 1983, among which about 80.7% HCHs and 93.2% DDTs remained in the soil compartment. From 1984 to now, contents of HCHs and DDTs had decreased to about 0.07% and 0.40% of their highest amount (before 1983), and only about 0.001% and 0.014% will expect to be left in 2020 in the study area according to the model prediction. Before 1983, the main transfer fluxes of HCHs were deposition from air to soil, runoff from soil to water and diffusion from soil to air, but for DDTs the main transfer fluxes were deposition from air to soil and water, and transfer from water to sediment. From 1984 to now, runoff from soil to water and transfer from water to sediment became the dominant processes. Although a large amount of HCHs and DDTs had been applied to the study area, their residue levels in the soils were much lower than those in North China (had lesser HCHs and DDTs application than in South China) at present time, and close to other locations of South China (had similar HCHs and DDTs application level). It can be attributed to the high precipitation and temperature that enhances the processes of wet deposition, evaporation and degradation of OCPs. Sensitivities of the input parameters to the calculated concentrations were evaluated using coefficient-of-variation normalized sensitivity coefficients. The model was also subjected to uncertainty analyses using a Monte Carlo simulation.     

Polychlorinated biphenyls (PCBs) in marine fishes from China: Levels, distribution and risk assessment

Muscle tissues of large yellow croakers (Pseudosciaena crocea) and sliver pomfret (Pampus argenteus) from nine coastal cities of East China including Dalian, Tianjin, Qingdao, Shanghai, Zhoushan, Wenzhou, Fuzhou, Quanzhou and Xiamen were analyzed for polychlorinated biphenyl (PCB) concentrations. Thirty-six PCB congeners were quantified in the fishes, of which 11 congeners were dioxin-like PCBs. The total PCB concentrations of the present study were at the low end of the global range, which may be related to the smaller usage and shorter consumption history of PCBs in China. PCBs 18, 29, 52, 66, 101, 104, 138, 153, 180 and 194 were the major constituents found in the fish samples. Regression analysis showed a strong positive correlation (R² = 0.800; p < 0.001) between total dioxin-like PCBs and total PCB concentrations, and that total PCB concentrations explain 80% of the variability in total dioxin-like PCB concentrations. Among the species investigated, significantly higher concentrations of total PCBs were found in croakers than in pomfrets, which may be attributed to their different feeding and living habits. No significant difference in total PCB concentrations among the cities was observed; principal component analysis (PCA) of PCB profiles indicated that PCB pollution came from similar sources in the sampling areas and that there may be other PCB sources in Dalian and Wenzhou. The calculated carcinogenic risks (CRs) from the two species based on a low consumption group and high consumption group were all greater than 10⁻⁶, suggesting that daily exposure to dioxin-like PCBs via fish consumption results in a lifetime cancer risk of greater than one in one million. In contrast, the hazard quotients (HQs) of noncancer risks were all less than unity.     

The spatial effect of fiscal decentralization on haze pollution in China

Environmental Science and Pollution Research - The fiscal decentralization system under China’s political centralization affects local economic and environmental policies, and thus has an...     

A review of polychlorinated biphenyls (PCBs) pollution in indoor air environment

Polychlorinated biphenyls (PCBs) were widely used in industrial production due to the unique physical and chemical properties. As a kind of persistent organic pollutants, the PCBs would lead to environment pollution and cause serious problems for human health. Thus, they have been banned since the 1980s due to the environment pollution in the past years. Indoor air is the most direct and important environment medium to human beings; thus, the PCBs pollution research in indoor air is important for the protection of human health. This paper introduces the industrial application and potential harm of PCBs, summarizes the sampling, extracting, and analytical methods of environment monitoring, and compares the indoor air levels of urban areas with those of industrial areas in different countries according to various reports. This paper can provide a basic summary for PCBs pollution control in the indoor air environment.

Implications: The review of PCBs pollution in indoor air in China is still limited. In this paper, we introduce the industrial application and potential harm of PCBs, summarize the sampling, extracting, and analytical methods of environment monitoring, and compare the indoor air levels of urban areas with industrial areas in different countries according to various reports.     

耒水流域土壤重金属污染的时空变异对比

收集了研究区内2008年的历史数据和2018年采集的最新数据,共计278个样品,分析测试了土壤环境污染常提及的Cd、Hg、As、Pb、Cr、Cu、Ni、Zn共8类重金属元素,利用单因子指数评价法、内梅罗综合污染指数法以及土壤环境质量评估法评价研究区内西河和耒水2条河流周边的土壤环境质量类别,结合反距离空间插值法以及空间几何分析,直观地展示出研究区2008—2018年土壤重金属的时空变异特征。结果表明：采集的2期数据中除Cr外,Cd、Hg、As、Pb、Cu、Ni、Zn表层土壤重金属元素均存在点位超标的情况,说明该研究区中整体存在重金属污染;通过单因子指数评价可知,2期数据单因子指数平均值排前2位的均为Cd和Pb,Cr平均值最小,研究区内2期数据Cr超过98%点位均属于优先保护类点位,Cd、As、Pb均存在超过《土壤环境质量农用地土壤污染风险管控标准》(GB 15618-2018)管制值的点位;污染增强区主要分布于采矿及冶炼企业密度较大的西河中上游、耒水上游和耒水下游3个区。为防止今后土壤重金属污染进一步增强,建议对3个高值区采取恰当的管理措施。     

A highly resolved temporal and spatial air pollutant emission inventory for the Pearl River Delta region, China and its uncertainty assessment

A highly resolved temporal and spatial Pearl River Delta (PRD) regional emission inventory for the year 2006 was developed with the use of best available domestic emission factors and activity data. The inventory covers major emission sources in the region and a bottom–up approach was adopted to compile the inventory for those sources where possible. The results show that the estimates for SO₂, NO_x, CO, PM₁₀, PM_2.5 and VOC emissions in the PRD region for the year 2006 are 711.4 kt, 891.9 kt, 3840.6 kt, 418.4 kt, 204.6 kt, and 1180.1 kt, respectively. About 91.4% of SO₂ emissions were from power plant and industrial sources, and 87.2% of NO_x emissions were from power plant and mobile sources. The industrial, mobile and power plant sources are major contributors to PM₁₀ and PM_2.5 emissions, accounting for 97.7% of the total PM₁₀ and 97.2% of PM_2.5 emissions, respectively. Mobile, biogenic and VOC product-related sources are responsible for 90.5% of the total VOC emissions. The emissions are spatially allocated onto grid cells with a resolution of 3 km × 3 km, showing that anthropogenic air pollutant emissions are mainly distributed over PRD central-southern city cluster areas. The preliminary temporal profiles were established for the power plant, industrial and on-road mobile sources. There is relatively low uncertainty in SO₂ emission estimates with a range of −16% to +21% from power plant sources, medium to high uncertainty for the NO_x emissions, and high uncertainties in the VOC, PM_2.5, PM₁₀ and CO emissions.     

Analysis of the spatial effect of outward foreign direct investment on air pollution: evidence from China

Environmental Science and Pollution Research - Outward foreign direct investment (OFDI) plays a pivotal role in the strategy to build a high-level and open economy. This research used spatial panel...     

Effects of special fiscal revenue on industrial pollution and the spatial spillover: evidence from 30 provinces in China

Environmental Science and Pollution Research - In China, industrial pollution is a prominent source of environmental pollution, and the important goal of sustainable development is to reduce...     

Long-term study of heavy metal pollution in the northern Hangzhou Bay of China: temporal and spatial distribution,contamination evaluation,and potential ecological risk

Environmental Science and Pollution Research - Coastal ecosystem is vulnerable to heavy metal contamination. The northern Hangzhou Bay is under intensifying impact of anthropogenic activities. To...     

PCBs in the eggs of Eurasian kestrels indicate exposure to local pollution

Fail-to-hatch kestrel (Falco tinnunculus) eggs collected at the end of the 1999 and 2005 breeding seasons from nest boxes in and around the city of Rome, Italy, were analyzed by gas chromatography with electron capture detection for their PCB content and for the presence of DDT derivatives and other organochlorines. Among the various PCBs, congeners 153 and 180 were detected in all the eggs and showed the highest concentrations. Eggs collected from the same nest from a polluted location in Rome during 2 different years showed similar type and number of PCB congeners. These data and the fact that eggs from another nest near a sulphate mine had, atypically, low-chlorinated congeners support the conclusion that eggs of this species, whose adults in the Mediterranean and continental Europe perform only short or no migration movements, might be indicative of local pollution. When multiple eggs in the same clutch were analyzed, the PCBs were similar in type but their concentration decreased within clutch, likely in parallel to the laying order.     

An assessment of spatial and temporal variation of sulfur dioxide levels over Istanbul, Turkey

Sulfur dioxide concentration levels are investigated in Istanbul to assess air pollution during the heating seasons in which the concentration of air pollutants reach high levels due to the consumption of low-quality fossil fuels. Results reveal that in the 1985-91 period there is an increasing trend in the concentrations of air pollutants. One reason for this increase is found to be the switching to use of low-quality fossil fuels instead of cleaner ones; the consumption ratio of coal/fuel-oil increased drastically in the 1980s from the ratio of 0.62 during 1980 to 3.09 by 1990. Linear regression analysis also indicated the similar variability of sulfur dioxide and particulate matter curves with a correlation coefficient R2=0.87. An optimum interpolation technique, kriging, is used to obtain the spatial distribution of sulfur dioxide over the area. Results indicated that the maximum concentration regions over the European side, exceeding 300 microg/m(3) monthly averages, are found to be the Fatih-Gaziosmanpa?a-Bayrampa?a, Beyo?lu-Si?li, and Emin?nü areas. On the Asian side, the G?ztepe-Kadik?y area received a major threat from sulfur dioxide pollution. Results also indicated that there was a considerable decrease in air pollution levels over Istanbul in the 1995-96 season compared with the previous two seasons. This can be explained by (1) the increase in ventilation, (2) switching to natural gas as a home and business heating fuel, and (3) treatment of coal before its entrance to the city. The variability in weather conditions is explained by the adoption of a ventilation index, which is the product of wind speed and inversion height.     

洋河流域不同时空水体重金属污染及健康风险评价

确定水体重金属污染及健康风险时空变化趋势,对流域水环境管理具有重要指导意义。基于1995年、2005年和2015年洋河流域10个监测断面的重金属监测数据,采用健康风险评价模型,对洋河流域As、Cd、Pb、Hg 和 Cu 的浓度及其引起健康风险的时空变化进行了评价。结果表明,洋河流域重金属污染及其健康风险在时间上呈降低趋势,超过地表水质量标准三类标准的重金属由1995年的Cd、Pb和Hg变为2005年和2015年的Cd、Pb。致癌物质As和Cd所引起的个人年均风险远远高于非致癌物质 Pb、Hg 和 Cu。重金属健康风险总和在1995年所有监测断面均超过国际辐射防护委员会（ICRP）推荐的最大可接受风险水平,2005年全部在最大可接受风险水平以下,2015年只有响水铺略微高于该水平。在空间分布上,重金属污染较为严重及其健康风险较大的区域集中于南洋河下游城区段、清水河下游张家口市区段和洋河干流下游段。     

Concentrations and hazard assessment of PCBs,organochlorine pesticides and mercury in fish species from the Upper Thames: river pollution and its potential effects on top predators

Aquatic environmental contamination levels of organochlorine pesticides (OCPs), polychlorinated biphenyls (PCBs) and heavy metals in the Upper Thames catchment area, UK were assessed on the basis of fish muscle analysis in wet weight, and their effects on top predators were assessed. The contamination levels of lead, cadmium, dichloro-diphenyl-trichloroethane (DDT) and its metabolites were found to be low (undetectable) in the area. Average mercury contamination level varied between 55 and 342 microg/kg, dieldrin between less than 0.09 and 36.8, lindane between < 0.08 and 4.94, and PCBs between < 0.77 and 3.32. Eels (Anguilla anguilla) had always much higher concentration of OCPs compared to the other fishes from the same monitoring sites. The environmental contamination level of PCBs may be partly associated with industrial and human activities, however, it was difficult to find such associations for mercury level. The hazard indices (HI) of both dieldrin and PCBs were below 1 for mink (Mustela vison). However, the HI of mercury of the all fish species from all monitoring sites are above 1 for mink. These contamination levels may be less harmful to polecats (Mustela putorius), but more so to otters (Lutra lutra) as their diets are dominated by aquatic prey.     

面向工业污染源排放的城市大气环境系统韧性评价及其时空演化

关中城市群是西部地区两大城市群之一。在该区域内有较多重污染企业。为探索关中城市群各市大气环境系统的韧性水平,将韧性理念应用于城市大气环境系统,并以工业污染源排放为视角,建立基于风险矩阵理论 (RMA) 与PSR的韧性评价模型,利用基于博弈论的组合赋权法确定PSR权重,并采用Sobol方法对模型进行敏感性分析,实现对关中城市群2018—2020年城市大气环境系统韧性时序演化及空间分布的实证分析。结果表明：非甲烷总烃、甲醇、氟化物及硫化氢属于敏感参数,其中甲醇为高敏感参数;从时间维度看,2019年关中城市群各城市大气环境系统韧性水平普遍高于2018年和2020年;从空间维度看,关中城市群各城市大气环境系统韧性水平呈现出“非均衡不稳定性”,3年中仅有西安、渭南及平凉3市达到高度韧性水平,中低韧性区域占绝大部分。提出相应的区域大气污染控制策略,如加强城市间的经验交流和分工协作、发挥西安的辐射带动作用、实施韧性区分类管理等。本研究可为关中城市群城市大气环境系统韧性建设提供参考。     

Biomonitoring spatial and temporal impact of atmospheric dust from a cement industry

The objective of this work was to evaluate the spatial and temporal impact of dust-pollution in the vicinity of a cement industry, located in an area with dry climate. The spatial impact integrated over time was evaluated from the concentrations of Ca, Fe and Mg in in-situ Xanthoria parietina. The temporal pattern was assessed through one-month transplants of the lichen Ramalina canariensis. Four potential sources of atmospheric dust were evaluated: the limestone-quarry; the unpaved roads, the deposit area and the cement mill. Calcium concentration in lichens was considered the best cement-dust indicator. Different types of dust (clinker and grinded-limestone-dust) resulted in different time-patterns of Ca accumulation, which was also related with the different influence that wet and dry periods have in the lichen accumulation process. The dust pollution was found to be deposited locally and dependent on: the nature of dust particles and the volume and frequency of precipitation.     

Spatial trend and pollution assessment of total mercury and methylmercury pollution in the Pearl River Delta soil, South China

Total mercury (THg) and methylmercury (MeHg) were measured in large number of soil samples collected from areas with different types of land use, different depth in the Pearl River Delta (PRD) of South China. THg and MeHg concentrations ranged from 16.7 to 3320 ng g⁻¹ and 0.01 to 1.34 ng g⁻¹, respectively. THg levels are highest in the top 0-20 cm soil layer, and decrease from the surface to bottom layer soil. Spatial variation was observed with different types of land use. Urban parks had the highest concentrations and the other areas tended to decrease in the order of residential areas, industrial areas, vegetable fields, cereal fields, and woodlands. Temporal variation was also noted, and two relatively high THg contamination zones located in the northwestern part of the PRD have significantly expanded over the last two decades. Both THg and MeHg concentrations were correlated significantly with soil organic matter (OM), but not with soil pH. THg pollution status was evaluated using two assessment methods.     

The spatial and temporal characteristics of TOMS AI over the Tarim Basin,China

This paper has a dual focus. One is to study the spatial characteristics of dust activities over the Tarim Basin by locating dust active hot spots. The other is to study the temporal characteristics of dust activities over the Tarim Basin by applying the Extreme Value Analysis (EVA).Hot spots (in terms of dust loading) refer to relatively small (compared to the size of the whole source area), consistently active, dust producing areas. In this paper, Total Ozone Mapping Spectrometer (TOMS) Aerosol Index (AI) is used to identify hot spots in the Tarim Basin. This hot spot study suggests that dust emissions are inhomogeneous in the Tarim Basin area and the formation of the two hot spots is linked to both (1) a large amount of fine sandy sediments accumulated at the hot spot areas and (2) the basin's internal dust transport pathways which are controlled by the extreme bounding topography of the basin.Extreme Value Analysis (EVA) has been widely used in a variety of areas, but has not yet been applied in dust storm research. In this paper, 13 years Tarim Basin regional daily maximum TOMS AI data time series are constructed. By examining the statistics of the time series, a new method (outlier method) is developed to identify extreme values. EVA is applied and 100-year-return values are suggested. The interpretation of the 100-year-return values is discussed by referring to historical meteorological records and also climate change projections.