云南省会泽县农田土壤中全氟化合物污染特征研究

为探究云南省会泽县农田土壤中全氟化合物(perfluorinated compounds,PFCs)的污染特征及其潜在来源,2015年6月采集云南省会泽县农田土壤42份,利用高效液相色谱-串联质谱仪(HPLC-MS/MS)分析了11种PFCs的含量水平。结果表明,云南省会泽县农田土壤中全氟己酸(perfluorohexanoic acid,PFHx A)、全氟庚酸(perfluoroheptanoic acid,PFHp A)和全氟己烷磺酸(perfluorohexane sulfonate,PFHx S)均未检出,其余8种PFCs(ΣPFCs)的平均含量水平为0.392 ng·g-1,含量范围为0.298~0.998ng·g-1。全氟辛酸(perfluorooctanoic acid,PFOA)和全氟辛烷磺酸(perfluorooctane sulfonate,PFOS)是最主要的PFCs,相对百分含量范围为45.93%~81.86%,其平均含量水平分别为0.116 ng·g-1和0.120 ng·g-1。与国内其他地区土壤中PFCs的含量水平相比,云南省会泽县农田土壤中PFCs含量水平低于上海,与广州、深圳、东莞、安徽、中国东部农村等地区土壤中PFCs的含量相当。主成分分析结果表明,以全氟癸酸(perfluorodecanoic acid,PFDA)、全氟辛烷磺酸(PFOS)和全氟十三酸(perfluorotridecanoic acid,PFTr DA)为主要标志物的2个主成分可以解释云南省会泽县农田土壤中73%的ΣPFCs。工业活动、大气沉降及长距离传输为云南省会泽县农田土壤中PFCs的主要来源。     

Principal component analysis of trace elements in industrial soils

The concentrations of the elements Cr, Pb, Cd, Zn, Ni, Mn, Cu and As in soil samples from industrial areas in Serbia were studied. The complexity of the data of eight elements in fifty-nine soil samples was reduced by principal component analysis. Three significant factors, in which 78% of the total variance in the data was found, were attributed to possible pollution sources. The crude and fuel oil burning, local smelters and exhaust emissions were shown to impact heavily the soil trace element profile, whereas no distinct soil type factor was observed. This approach, evidencing spatial relationship, enabled a differentiation between the soil samples originating from different areas.Selected article from the Regional Symposium on Chemistry and Environment, Krusevac, Serbia, June 2003, organised by Dr. Branimir Jovancicevic     

Potential aboveground biomass in drought-prone forest used for rangeland pastoralism

The restoration of cleared dry forest represents an important opportunity to sequester atmospheric carbon. In order to account for this potential, the influences of climate, soils, and disturbance need to be deciphered. A data set spanning a region defined the aboveground biomass of mulga (Acacia aneura) dry forest and was analyzed in relation to climate and soil variables using a Bayesian model averaging procedure. Mean annual rainfall had an overwhelmingly strong positive effect, with mean maximum temperature (negative) and soil depth (positive) also important. The data were collected after a recent drought, and the amount of recent tree mortality was weakly positively related to a measure of three-year rainfall deficit, and maximum temperature (positive), soil depth (negative), and coarse sand (negative). A grazing index represented by the distance of sites to watering points was not incorporated by the models. Stark management contrasts, including grazing exclosures, can represent a substantial part of the variance in the model predicting biomass, but the impact of management was unpredictable and was insignificant in the regional data set. There was no evidence of density-dependent effects on tree mortality. Climate change scenarios represented by the coincidence of historical extreme rainfall deficit with extreme temperature suggest mortality of 30.1% of aboveground biomass, compared to 21.6% after the recent (2003-2007) drought. Projections for recovery of forest using a mapping base of cleared areas revealed that the greatest opportunities for restoration of aboveground biomass are in the higher-rainfall areas, where biomass accumulation will be greatest and droughts are less intense. These areas are probably the most productive for rangeland pastoralism, and the trade-off between pastoral production and carbon sequestration will be determined by market forces and carbon-trading rules.     

Characterization of airborne particulate matter in Thessaloniki,Greece

A receptor modeling approach has been applied to identify and apportion sources of airborne particulate matter in Thessaloniki, Greece. The absolute principal component analysis source apportionment technique used, provided quantitative information regarding both source particle characteristics and impacts. The analysis identified four major sources of heavy metals within total suspended particles (TSP) in the centre of the city: oil burning, pyrometallurgical non‐ferrous metal processes, motor vehicles and soil resuspension. Their contributions to TSP estimated by regression on absolute principal component scores (APCS) were 12%, 8%, 5% and 4%, respectively. A similar analysis conducted for a sampling site close to the industrial area identified five major sources: oil burning, industrial Cr source, soil resuspension, pyrometallurgical non‐ferrous metal processes and motor vehicles with contributions 20%, 15%, 9%, 8% and 4%, respectively.     

典型工业城市大气降尘中重金属分布特征及其来源解析---以济南市为例

污染源解析是城市大气环境精准防治的重要基础。为探究典型工业城市大气降尘中重金属污染分布特征和污染源解析,本研究在济南市域内采集了35个大气降尘样品,分析了样品中重金属浓度及其空间分布特征,采用正定矩阵因子分析模型(Positive Matrix Factorization,PMF)解析降尘中重金属来源。研究结果表明,降尘中Mn、Fe、Co、Ni、Cu、Zn、As和Pb浓度平均值分别为501.4、29884.6、8.2、24.8、44.3、153.9、12.5、40.1 mg·kg^-1,其中Zn、Cu和Pb的地累积指数(Geoaccumulation Index,I_geo)分别为1.17、1.06和1.01,属于中度污染;钢铁冶炼较为发达的钢城区降尘中Mn、Fe、Co、Cu和As浓度显著高于其他区县,其浓度平均值分别为1172.4、73577.3、17.0、139.7、32.3 mg·kg^-1,而Zn和Pb在历下区、槐荫区等人口密集区域最高浓度可达351.5 mg·kg^-1和114.0 mg·kg^-1;PMF分析结果表明,济南市降尘重金属主要存在4个贡献源,分别为土壤源、工业源、交通源和混合源,贡献率分别为46.8%、26.6%、15.2%和11.4%。其中,重金属Co、Cu、Fe主要来自土壤源,Mn主要来自于土壤源和工业源的贡献,Ni主要来自于土壤源和混合源,交通源对降尘中Pb和Zn的贡献率较高,As则主要来自于工业源。本研究结果可为济南市大气环境精准防控政策的制定提供理论依据。     

室内空气中多环芳烃污染的测量和特征性研究

本文就室内空气中多环芳烃典型污染源－室内燃煤和室内吸烟排放的多环芳烃组成和含量进行了测定，并同室外大气（对照）中多环芳烃组成含量进行了对比，研究了室内环境不同污染源排放多环烃组成和含量的特征性，结果表明，室内燃煤污染同燃煤型室外大气源排放多环芳烃具有相似组成含量特征，而室朵烟草烟雾污染源的多环芳烃组成含量特征，则与室外煤型和交通型均有显著区别。     

Spatial distribution of main forest soil groups in Croatia as a function of basic pedogenetic factors

The model of spatial distribution of main forest soil groups in Croatia was developed as a function of basic pedogenetic factors: lithological substratum, macroclimate and relief. Used data about soil group, lithological substratum, terrain slope and aspect were collected on 1881 soil profiles. Macroclimatic data were estimated for each soil profile by spatial interpolation between meteorological stations. Feedforward neural networks were used as modelling tool. The final model has total classification correctness of 63.5% for training data set and 62.3% for independent test data set. The best result (86.4%) was achieved for fluvisols which are strongly spatially correlated with alluvial sediment in a flood plains. The worst result was achieved for luvisol (14.2%) which mainly comprised very old soils, probably developed under pedogenetic factors different from actual. The model was applied on entire Croatian territory aiming at construction of potential spatial distribution of main forest soils (without human impact), which was compared by the potential spatial distribution of major forest types modelled independently.     

Effectiveness of Marine Protected Areas in the Philippines for Biodiversity Conservation

Abstract: Quantifying the extent to which existing reserves meet conservation objectives and identifying gaps in coverage are vital to developing systematic protected‐area networks. Despite widespread recognition of the Philippines as a global priority for marine conservation, limited work has been undertaken to evaluate the conservation effectiveness of existing marine protected areas (MPAs). Targets for MPA coverage in the Philippines have been specified in the 1998 Fisheries Code legislation, which calls for 15% of coastal municipal waters (within 15 km of the coastline) to be protected within no‐take MPAs, and the Philippine Marine Sanctuary Strategy (2004), which aims to protect 10% of coral reef area in no‐take MPAs by 2020. We used a newly compiled database of nearly 1000 MPAs to measure progress toward these targets. We evaluated conservation effectiveness of MPAs in two ways. First, we determined the degree to which marine bioregions and conservation priority areas are represented within existing MPAs. Second, we assessed the size and spacing patterns of reserves in terms of best‐practice recommendations. We found that the current extent and distribution of MPAs does not adequately represent biodiversity. At present just 0.5% of municipal waters and 2.7–3.4% of coral reef area in the Philippines are protected in no‐take MPAs. Moreover, 85% of no‐take area is in just two sites; 90% of MPAs are <1 km². Nevertheless, distances between existing MPAs should ensure larval connectivity between them, providing opportunities to develop regional‐scale MPA networks. Despite the considerable success of community‐based approaches to MPA implementation in the Philippines, this strategy will not be sufficient to meet conservation targets, even under a best‐case scenario for future MPA establishment. We recommend that implementation of community‐based MPAs be supplemented by designation of additional large no‐take areas specifically located to address conservation targets.     

A comparison of three empirically based, spatially explicit predictive models of residential soil Pb concentrations in Baltimore, Maryland, USA: understanding the variability within cities

In many older US cities, lead (Pb) contamination of residential soil is widespread; however, contamination is not uniform. Empirically based, spatially explicit models can assist city agencies in addressing this important public health concern by identifying areas predicted to exceed public health targets for soil Pb contamination. Sampling of 61 residential properties in Baltimore City using field portable X-ray fluorescence revealed that 53 % had soil Pb that exceeded the USEPA reportable limit of 400 ppm. These data were used as the input to three different spatially explicit models: a traditional general linear model (GLM), and two machine learning techniques: classification and regression trees (CART) and Random Forests (RF). The GLM revealed that housing age, distance to road, distance to building, and the interactions between variables explained 38 % of the variation in the data. The CART model confirmed the importance of these variables, with housing age, distance to building, and distance to major road networks determining the terminal nodes of the CART model. Using the same three predictor variables, the RF model explained 42 % of the variation in the data. The overall accuracy, which is a measure of agreement between the model and an independent dataset, was 90 % for the GLM, 83 % for the CART model, and 72 % for the RF model. A range of spatially explicit models that can be adapted to changing soil Pb guidelines allows managers to select the most appropriate model based on public health targets.     

若尔盖高寒沼泽植物群落与环境因子的关系

了解高寒沼泽植物群落与环境因子之间的关系,对揭示物种对生态环境的需求以及高寒沼泽的保护管理有重要意义,然而目前尚不清楚影响若尔盖高寒沼泽植物分布的主要环境因素。作者于2011—2012年间在若尔盖高寒沼泽随机调查32个样地,收集了植被样方数据、土壤理化性质数据、地表水位等实测数据,借助方差分析、CCA分析和相关分析等经典的统计方法,研究高寒沼泽植物群落物种组成和不同地表积水状况下多样性的差异,以及高寒沼泽植物群落与环境因子的关系。结果显示：若尔盖高寒沼泽植物共有151个种,隶属于39科98属;多样性指数随地表积水的减少呈现出增加的趋势。典范对应分析（CCA）结果表明,第一轴与水位、土壤水分含量、土壤有机碳、土壤总氮显著负相关,与土壤容重显著正相关,第二轴与裸斑率和鼠洞数显著相关。前2个轴一共解释了79．8％的物种与环境因子的关系,与环境因子的相关系数均在0．87以上;其中,水分和土壤养分条件是影响物种分布的主导因子,其次是裸斑面及啮齿动物活动。植物多样性指数与土壤水分负相关,与土壤有机碳和土壤全氮显著负相关,与土壤容重显著正相关。若尔盖沼泽植物群落物种多样性除了受土壤水分和养分条件的影响以外,啮齿动物的活动可能是影响若尔盖沼泽物种分布以及促进群落进一步演替的主要因素之一。     

城市道路尘的二重源解析方法与应用实例

采用"二重源解析"技术解析了太原市的各单一源类对城市道路尘(以下简称道路尘)的贡献值和分担率;各单一源类和道路尘对城市扬尘的贡献值和分担率;同时解析了各单一源类、道路尘和城市扬尘对环境空气颗粒物的贡献值和分担率。各源类对PM10的贡献率分别是:城市扬尘,27%;道路尘,20%;土壤风沙尘,10%;煤烟尘,13%;建筑水泥尘,10%;机动车尾气尘,11%;钢铁尘,1%;其他,8%。     

城市室内环境多环芳烃污染与源的相关性

本实验选择了天津市４类典型室内环境和２处室外对照点，共１９个采样点。现场采样测定了１０种ＰＡＨｓ组成含量。结果显示，室内燃煤和室内吸烟是室内环境中多环芳烃排放的主要污染源。同作为对照的室外大气中多环芳烃组成和含量进行了对比，研究了室内环境不同污染源排放多环芳烃组成和含量的特征性。提出了室内燃煤污染同燃煤型室外大气源排放多环芳烃具有相似组成含量特征，而室内烟草烟雾污染源的多环芳烃组成含量特征则与室外     

江西省兴国县土壤全氮和有机质的空间变异及其分布格局

在地理信息系统和地统计学的支持下，以变异函数为工具，初步分析了江西省兴国县土壤全氮和有机质的空间变异特征，并应用克立格法进行最优无偏线性插值，得出全氮和有机质含量的分布格局．结果表明：全氮的变异函数曲线的理论模型符合球状模型，有机质为指数模型；两种养分的空间自相关程度均属中等的空间自相关；全氮和有机质空间变异的尺度范围不同，分别为5．41km和9．36km．它们的空间变异主要是由结构性因素引起的；全氮和有机质含量的分布格局基本一致，具有北部高、中部和南部低的分布特征．图3表2参16     

Characterization of airborne particulate matter in thessaloniki,Greece

TSP samples, collected at two stations in the area of Thessaloniki during the period July 1987‐June 1988, were analysed for heavy metals (Fe, Pb, Zn, Cu, Mn, Cr, Co, Ni and V). Flame and flameless atomic absorption spectrophotometry was used for metal determinations. Metals determined were characterized with respect to their origin from natural or man‐made emission sources. Source identification was attempted by relation of metal concentrations to wind direction, and interelement correlations.

Results obtained showed that Pb, Zn and Cu are emitted from man‐made sources (traffic, domestic heating, industry), V, Ni and Co are derived partially from natural and man‐made sources, while Cr is mainly soil‐derived.     

A constrained least-squares approach to combine bottom-up and top-down CO2 flux estimates

Terrestrial CO₂ flux estimates are obtained from two fundamentally different methods generally termed bottom-up and top-down approaches. Inventory methods are one type of bottom-up approach which uses various sources of information such as crop production surveys and forest monitoring data to estimate the annual CO₂ flux at locations covering a study region. Top-down approaches are various types of atmospheric inversion methods which use CO₂ concentration measurements from monitoring towers and atmospheric transport models to estimate CO₂ flux over a study region. Both methods can also quantify the uncertainty associated with their estimates. Historically, these two approaches have produced estimates that differ considerably. The goal of this work is to construct a statistical model which sensibly combines estimates from the two approaches to produce a new estimate of CO₂ flux for our study region. The two approaches have complementary strengths and weaknesses, and our results show that certain aspects of the uncertainty associated with each of the approaches are greatly reduced by combining the methods. Our model is purposefully simple and designed to take the two approaches’ estimates and measures of uncertainty at ‘face value’. Specifically, we use a constrained least-squares approach to appropriately weigh the estimates by the inverse of their variance, and the constraint imposes agreement between the two sources. Our application involves nearly 18,000 flux estimates for the upper midwest United States. The constrained dependencies result in a non-sparse covariance matrix, but computation requires only minutes due to the structure of the model.     

O3浓度升高对麦田土壤碳、氮含量和酶活性的影响

近地层O₃作为全球最重要的大气污染物之一,其对作物的生长发育、土壤酶活性、土壤碳、氮的影响机制已成为人们关注的重要问题。采用开顶式气室(OTCs)法模拟研究O₃浓度升高对冬小麦土壤碳、氮含量和酶活性的影响。结果表明,O₃浓度升高导致麦田0~10 cm和10~20 cm土层的全碳(TC)和全氮(TN)含量呈现出下降的趋势。O₃浓度升高对土壤酶活性也有影响。在冬小麦灌浆期,O₃胁迫可促进土壤脱氢酶活性提高。当O₃浓度为120 nL·L^-1时,0~10 cm、10~20 cm和20~40 cm土层的脱氢酶活性分别比对照处理提高59.4%、51.5%和22.2%。O₃胁迫对土壤转化酶活性的影响随着冬小麦生长期和土壤采样深度的不同而发生变化。在冬小麦拔节期,O₃处理对不同土层脲酶活性的影响没有达到显著差异水平,但是在灌浆期,20~40 cm土层的脲酶活性随着O₃浓度的增加而提高,在120 nL·L^-1浓度O₃处理下脲酶活性比对照处理提高24.6%。在O₃胁迫条件下土壤转化酶活性与土壤全碳含量、土壤脲酶活性与土壤全氮含量均呈现出显著的正相关关系。     

Land use change and nitrogen enrichment of a Rocky Mountain watershed.

Headwater ecosystems may have a limited threshold for retaining and removing nutrients delivered by certain types of land use. Nitrogen enrichment was studied in a Rocky Mountain watershed undergoing rapid expansion of population and residential development. Study sites were located along a 30-km transect from the headwaters of the Blue River to Lake Dillon, a major source of drinking water for Denver, Colorado. Ground water in residential areas with septic systems showed high concentrations of nitrate-N (4.96 +/- 1.22 mg/L, mean +/- SE), and approximately 40% of wells contained nitrate with delta15N values in the range of wastewater. Concentrations of dissolved inorganic nitrogen (DIN) in tributaries with residential development peaked during spring snowmelt as concentrations of DIN declined to below detection limits in undeveloped tributaries. Annual export of dissolved organic nitrogen (DON) was considerably lower in residential streams, suggesting a change in forms of N with development. The seasonal delta15N of algae in residential streams was intermediate between baseline values from undeveloped streams and stream algae grown on wastewater. Between 19% and 23% of the annual N export from developed tributaries was derived from septic systems, as estimated from the delta15N of algae. This range was similar to the amount of N export above background determined independently from mass-balance estimates. From a watershed perspective, total loading of N to the Blue River catchment from septic and municipal wastewater (2 kg x ha(-1) x yr(-1)) is currently less than the amount from background atmospheric sources (3 kg x ha(-1) x yr(-1)). Nonetheless, nitrate-N concentrations exceeded limits for safe drinking water in some groundwater wells (10 mg/L), residential streams showed elevated seasonal patterns of nitrate-N concentration and ratios of DIN to total dissolved phosphorus, and seasonal minimum concentrations of nitrate-N in Lake Dillon have increased exponentially to 80 microg/L over the last decade from an initial value near zero. Results suggest that isotopic ratios in autotrophs can be used to detect and quantify increases in N enrichment associated with land use change. The biotic capacity of headwater ecosystems to assimilate increases in inorganic N from residential development may be insufficient to prevent nitrogen enrichment over considerable distances and multiple aquatic ecosystems downstream.     

攀枝花市大气颗粒物中多环芳烃污染特征分析及来源识别

2007年2月在攀枝花市不同功能区采集了大气PM10样品42个和污染源样品32个,采用超声抽提GC/MS方法测定分析了16种多环芳烃(PAHs)的含量。结果显示攀枝花市PM10颗粒相PAHs单体浓度范围为0.34～416.45ng/m3,总量浓度范围为24.56～2569.66ng/m3;攀枝花市5个采样点中河门口片区PM10多环芳烃单体浓度范围为5.64～416.45ng/m3,污染最严重。源样品测定结果分别为扬尘78.74ug/g,煤烟尘6.12ug/g,钢铁工业尘30.54ug/g,焦化尘3187.42ug/g。应用比值法和化学质量平衡(CMB)模型对污染源进行识别,燃煤和炼焦是攀枝花市PAHs的主要来源,对攀枝花市大气可吸入颗粒物中多环芳烃污染的分担率分别为55.8%、19.9%。     

Sinks for nitrogen inputs in terrestrial ecosystems: a meta-analysis of 15N tracer field studies

Effects of anthropogenic nitrogen (N) deposition and the ability of terrestrial ecosystems to store carbon (C) depend in part on the amount of N retained in the system and its partitioning among plant and soil pools. We conducted a meta-analysis of studies at 48 sites across four continents that used enriched 15N isotope tracers in order to synthesize information about total ecosystem N retention (i.e., total ecosystem 15N recovery in plant and soil pools) across natural systems and N partitioning among ecosystem pools. The greatest recoveries of ecosystem 15N tracer occurred in shrublands (mean, 89.5%) and wetlands (84.8%) followed by forests (74.9%) and grasslands (51.8%). In the short term (< 1 week after 15N tracer application), total ecosystem 15N recovery was negatively correlated with fine-root and soil 15N natural abundance, and organic soil C and N concentration but was positively correlated with mean annual temperature and mineral soil C:N. In the longer term (3-18 months after 15N tracer application), total ecosystem 15N retention was negatively correlated with foliar natural-abundance 15N but was positively correlated with mineral soil C and N concentration and C:N, showing that plant and soil natural-abundance 15N and soil C:N are good indicators of total ecosystem N retention. Foliar N concentration was not significantly related to ecosystem 15N tracer recovery, suggesting that plant N status is not a good predictor of total ecosystem N retention. Because the largest ecosystem sinks for 15N tracer were below ground in forests, shrublands, and grasslands, we conclude that growth enhancement and potential for increased C storage in aboveground biomass from atmospheric N deposition is likely to be modest in these ecosystems. Total ecosystem 15N recovery decreased with N fertilization, with an apparent threshold fertilization rate of 46 kg N x ha(-1) x yr(-1) above which most ecosystems showed net losses of applied 15N tracer in response to N fertilizer addition.     

Mercury enrichment in <Emphasis Type="Italic">Brassica napus</Emphasis> in response to elevated atmospheric mercury concentrations

Mercury enrichment in response to elevated atmospheric mercury concentrations in the organs of rape (Brassica napus) was investigated using an open top chamber fumigation experiment and a soil mercury enriched cultivation experiment. Results indicate that the mercury concentration in leaves and stems showed a significant variation under different concentrations of mercury in atmospheric and soil experiments while the concentration of mercury in roots, seeds and seed coats showed no significant variation under different atmospheric mercury concentrations. Using the function relation established by the experiment, results for atmospheric mercury sources in rape field biomass showed that atmospheric sources accounted for at least 81.81%of mercury in rape leaves and 32.29% of mercury in the stems. Therefore, mercury in the aboveground biomass predominantly derives from the absorption of atmospheric mercury.

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