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 共查询到9条相似文献,搜索用时 15 毫秒
1.
Perfluorinated compounds (PFCs) were detected in sediment core samples collected in Tokyo Bay to reveal their time trends. The core sample deposited during 1950s-2004 was divided into two- to three-year intervals and the concentrations of 24 types of PFCs were determined. Perfluorooctane sulfonate (PFOS) decreased gradually from the early 1990s and its precursor decreased rapidly in the late 1990s, whereas perfluorooctanoic acid (PFOA) increased rapidly. The observed trends were regarded as a reflection of the shift from perfluorooctyl sulfonyl fluoride (PFOSF)-based products to telomer-based products after the phaseout of PFOSF-based products in 2001. The branched isomers of perfluoroundecanoic acid (PFUnDA) and perfluorotridecanoic acid (PFTrDA) were detected in the sample with its ratio of linear-isomer/branched-isomer concentrations decreasing. In this study, we revealed that the sediment core can serve as a tool for reconstructing the past pollution trend of PFCs and can provide interesting evidence concerning their environmental dynamics and time trend.  相似文献   

2.
SK Kim 《Chemosphere》2012,89(8):995-1002
Long-range transport of and exposure to perfluorinated substances (PFSs) strongly depend on their emission mode. In the present study, watershed-based riverine discharge loads and emission factors are estimated for perfluorooctanoate (PFOA), perfluorononanoate (PFNA), perfluorohexylsulfonate (PFHxS), and perfluorooctylsulfonate (PFOS) by using spatially distributed data of chemical concentrations together with water flows and a geographic information system (GIS). Average per capita emissions (emission factor, μg capita−1 d−1) are 75 for PFOA, 36 for PFNA, 17 for PFHxS, and 43 for PFOS, which are several times lower than the estimates for Japan and the European continent. A relatively uniform distribution is observed for PFHxS and PFOS emission factors, while elevated values of PFOA and PFNA predominate in one of eight river basins. This may indicate the leading contribution of diffusive sources (e.g. nonpoint source) for PFHxS and PFOS versus the presence of localized point sources for PFOA and PFNA. The lower-upper bound of total riverine loads discharged annually from the Korean peninsula are in the range of 0.53-1.3 tons for PFOA, 0.09-0.60 tons for PFNA, 0.07-0.29 tons for PFHxS, and 0.19-0.73 tons for PFOS, accounting for <1% of global annual emissions. Furthermore, these riverine discharge loads are significantly greater than the discharge loads from a wastewater treatment plant, indicating the necessity of further study of nonpoint sources.  相似文献   

3.
Yang L  Zhu L  Liu Z 《Chemosphere》2011,83(6):806-814
The concentrations of four perfluorinated sulfonate acids (PFSAs) and 10 perfluorinated carboxylate acids (PFCAs) were measured in water and sediment samples from Liao River and Taihu Lake, China. In the water samples from Taihu Lake, PFOA and PFOS were the most detected perfluorinated compounds (PFCs); in Liao River, PFHxS was the predominant PFC followed by PFOA, while PFOS was only detected in two of the samples. This suggests that different PFC products are used in the two regions. PFOS and PFOA in both watersheds are at similar level as in the rivers of Japan, but significantly lower than in Great Lakes. The contributions of PFOS and long chain PFCAs in sediments were much higher than in water samples of both watersheds, indicating preferential partition of these PFCs in sediment. The concentrations of PFOS and PFOA were three orders of magnitude of lower than that of polycyclic aromatic hydrocarbons in the same sediments. The average sediment-water partition coefficients (log Koc) of PFHxS, PFOS and PFOA were determined to be 2.16, 2.88 and 2.28 respectively.  相似文献   

4.
Concentrations of 55 volatile organic compounds (VOCs) (C2–C12) are reported near a highway in Raleigh, NC. Thirty-minute samples were collected at eight locations, ranging from approximately 10–100 m perpendicular from the roadway. The highest concentrations of VOCs were generally measured closest to the roadway, and concentrations decreased exponentially with increasing distance from the roadway. The highest mean concentration for individual VOCs were for ethylene (3.10 ppbv) (mean concentration at x = 13 m), propane (2.27 ppbv), ethane (1.91 ppbv), isopentane (1.54 ppbv), toluene (0.95 ppbv), and n-butane (0.89 ppbv). Concentrations at the nearest roadway location (x = 13 m) were generally between 2.0 and 1.5 times those from the farthest roadway location (x = 92 m). The data were apportioned into four source categories using the EPA Chemical Mass Balance Model (CMB8.2): motor vehicle exhaust, compressed natural gas, propane gas, and evaporative gasoline. The majority of the VOCs resulted from motor vehicle exhaust (67 ± 12%) (% of total VOC at x = 13 m ± S.D.). Compressed natural gas, propane gas, and evaporative gasoline accounted for approximately 15%, 7% and 1% of the total VOC emissions, respectively, at x = 13 m.  相似文献   

5.
Eight terrestrial and four marine water samples were collected from the industrial section of the city of Kavala in northern Greece to determine the occurrence and distribution of organic contaminants, as well as to identify the molecular markers of different emission sources. The samples were analyzed by means of non-target screening analyses. The analytical procedure included a sequential extraction of the samples, GC-FID, GC/MS analyses, and additional quantitative analyses of selected pollutants. The results show a wide variety of compounds including halogenated compounds, technical additives and metabolites, phosphates, phthalates, benzothiazoles, etc. A close relationship between many of the contaminants and their emission sources was determined based on their molecular structures and information on technical applications.  相似文献   

6.
Source apportionment of air pollution due to particulate matter with an aerodynamic diameter <10 μm (PM10) was investigated in Central Eastern European urban areas. A combination of four methods was developed to distinguish long-range transport (LRT) and regional transport (RT) from local pollution (LP) sources as well as to discern the involvement of traffic or residential sources in LP. Sources of PM10 events of pollution were determined in January 2006 in representative Polish cities using monitored air quality and meteorological data, backward air mass trajectories, correlation and principal component analysis (PCA). Daily patterns of PM10 levels show that several peak episodes were registered in Poland; January 21–30th being the most polluted days. Air mass back-trajectory analysis shows that all cities were under the influence of LRT from North-eastern origins (Russia–Belarus–Ukraine), most were also under LRT from Southern origin (Slovakia, Czech Republic), and northern cities were under national RT influence. PCA analysis shows that ion-sums of secondary inorganic aerosols account for LRT pollution while arsenic and chromium represents markers of RT (industrial) and LP (residential) sources of PM10, respectively. Determination of several ratios (REG/UB, REG/TRAF, TRAF/UB) calculated between PM10 levels measured at regional background (REG); urban background (UB) and traffic (TRAF) monitoring sites shows that, with ratios REG/UB ≥ 0.57, PM10 episodes in both Szczecin and Warsaw bore a marked RT origin. The lower REG/UB ≤ 0.35 in the Southern cities of Cracow and Zabrze indicates that LP was the main contributor to the observed episodes. Only PM10 episodes in Southern-western Poland (Jelenia Góra) were clearly of LP origin as characterized, by the lowest REG/UB ratio (<0.2). The high TRAF/UB ratios obtained for all cities (close to 1) indicate that there was a great uniformity of PM levels on an urban scale owing to the meteorologically stagnant conditions. A high correlation between PM10, NO2 and CO confirms that traffic emission represented a common and an important LP source of urban pollution in most Polish cities during January 2006. On the other hand PM10 which is also highly correlated with SO2 in 4 cities out of 6, indicates that coal combustion through domestic heating or industrial activities was also an important LP source of PM10. Finally, extremely unfavourable meteorological conditions caused by the influence of a Siberian high-pressure system were found to be associated with the occurrence of severe PM10 episodes of pollution.  相似文献   

7.
In Japan, Ayase River is one of the most polluted rivers by PCDDs, PCDFs and dioxin-like PCBs, which are referred to as dioxins in this paper. The water samples of the river were collected once per month for a year, and dioxins were analyzed to examine the dioxin sources and their contributions to toxic equivalent (TEQ). The WHO-2006 TEQs ranged from 0.26 to 7.0 pg-TEQ L−1 and the average was 2.7 pg-TEQ L−1; eight of 12 samples exceeded the environmental quality standard in Japan (1.0 pg-TEQ L−1). The TEQ value was high during the irrigation period from May to August. The most part of the dioxins in the river water existed in suspended solids (SS) and it seemed that the river received water with highly-dioxin-contaminated SS in the irrigation period. The homologue profiles of the water samples suggested that the dioxins were influenced by pentachlorophenol (PCP) and chlornitrofen (CNP) formulations which were widely used as herbicides for the paddy fields in Japan. According to TEQ apportionment estimated by using indicative congeners, the TEQ was mainly contributed by PCP. Moreover, it was also shown that the TEQ contributions of PCP and CNP formulations increased along with the increase of the total TEQ and the TEQ contribution was dominated by these herbicides during the irrigation period. Therefore, it was concluded that the herbicides-originated dioxins run off from the paddy fields into the river during the irrigation period and increased the dioxins level in the river water. The result from the principal component analysis was consistent with these conclusions.  相似文献   

8.
地表河流污染物溯源对污染物防治及河流生态环境改善具有重要意义。三维荧光光谱(3D-EEM)的图谱形状、荧光峰位置、荧光峰强度、荧光峰个数信息和荧光参数可作为水体中可溶性有机物(DOM)的荧光特征。结合平行因子分析(PARAFAC)对南昌市某河的3D-EEMs进行分析并进行DOM溯源研究,结果表明,该河DOM主要包含3个荧光组分,分别为类腐殖质荧光组分C1(λEx/λEm=245 nm/430 nm)、类氨基酸和类腐殖质组分的混合物C2(λEx/λEm=240,300 nm/365 nm)和类色氨酸荧光组分C3(λEx/λEm=225,275 nm/335 nm),分别占总荧光组分的35.93%,26.62%和37.45%。该河基本满足地表水环境质量标准(GB 3838-2002)III类水标准,浮游植物主要为蓝绿藻,河流中磷的来源复杂。污染物溯源结果表明,该河DOM腐殖化程度较低,生物活性较强,主要来源于浮游植物和微生物代谢降解和沉积物在冲击和水力作用下产生的内源污染。建议该河采用生态修复技术并辅助水体曝气系统治理DOM污染,并持续防止河流引入外源污染。  相似文献   

9.
选取厦门市8大重点监测行业370家企业的439套废气处理系统进行了调研,对不同VOCs治理技术在不同行业的应用情况及实际净化效果进行分析,并结合GIS平台,对厦门市的VOCs治理效果进行了区域性评估。结果表明:活性炭吸附、UV光解、UV光解+活性炭、等离子+UV光解、燃烧类工艺及其他类(低温等离子法、冷凝回收法、生物法)等6类治理技术对VOCs的平均去除率分别为79.6%、73.7%、71.9%、69.2%、82.1%、68.6%;燃烧类工艺对苯系物去除率最高,其次是活性炭吸附工艺,UV光解及其组合工艺对苯系物的去除率较低;UV光解及其组合工艺在设备管理及企业工艺选取方面尚存在问题,整体处理效果较差,但该工艺适用于低浓度有机废气的处理,例如在汽修行业的去除率较高(80%左右);燃烧类工艺及活性炭吸附工艺处理效果较好,燃烧类工艺的去除率较高,且对工况的适应性较强,可用于高浓度VOCs(>1 000 kg·d−1)和高进口风量(>20 000 m3·h−1)条件下的废气治理;其他类相关工艺由于成本较低,虽处理效率不高,但可根据实际情况选择应用。厦门市域各二级行政区对VOCs 8大重点监测行业区域治理效果排序为:思明区>湖里区>海沧区>翔安区>集美区>同安区。  相似文献   

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