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Article

Occurrence and Source Identification of Polychlorinated Dibenzo-p-dioxins and Dibenzofurans and Polychlorinated Biphenyls in Surface Sediments from Liangshui River in Beijing, China

by
Honghua Li
1,
Pu Wang
2,
Yongming Ju
3,4,
Wenjuan Li
2,
Ruiqiang Yang
1,
Gang Li
1,
Wenqiang Ren
1,
Jie Li
1 and
Qinghua Zhang
1,5,*
1
State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
2
Hubei Key Laboratory of Industrial Fume and Dust Pollution Control, School of Environment and Health, Jianghan University, Wuhan 430056, China
3
Laboratory of Pesticide Environmental Assessment and Pollution Control, Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment (MEE), Nanjing 210042, China
4
The Key Laboratory of Water and Air Pollution Control of Guangdong Province, South China Institute of Environmental Sciences, Ministry of Ecology and Environment (MEE), Guangzhou 510655, China
5
University of Chinese Academy of Sciences, Beijing 100049, China
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2022, 19(24), 16465; https://doi.org/10.3390/ijerph192416465
Submission received: 13 October 2022 / Revised: 5 December 2022 / Accepted: 6 December 2022 / Published: 8 December 2022
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Abstract

Polychlorinated dibenzo-p-dioxins and dibenzofurans and polychlorinated biphenyls were measured in the surface sediments of Liangshui River, the second largest drainage river in Beijing, China. The sum concentrations of polychlorinated dibenzo-p-dioxins and dibenzofurans and polychlorinated biphenyls ranged from 3.5 to 3019 (mean value: 184) pg g−1 dry weight and from 319 to 5949 (mean value: 1958) pg g−1 dry weight, and the corresponding World Health Organization toxic equivalent quantity values were 0.0011–5.1 pg TEQ g−1 dry weight and 0.0074–1.4 pg TEQ g−1 dry weight, respectively. The spatial distributions of polychlorinated dibenzo-p-dioxins and dibenzofurans and polychlorinated biphenyls showed increasing trends from urban area and development area to suburb. Principal component analysis revealed that polychlorinated dibenzo-p-dioxins and dibenzofurans contamination in the sediments may originate from pentachlorophenol and sodium pentachlorophenate and municipal solid waste incineration. Regarding polychlorinated biphenyls, the steel industry, combustion processes and usage of some commercial polychlorinated biphenyl products were identified as the major sources. The emission from a former steel plant could be the main contributor to polychlorinated biphenyls in urban areas. The mean value of the total toxic equivalent quantities in the sediment samples exceeded the Canadian interim sediment quality guidelines. Long-term wastewater irrigation increases the load of sediment-bound pollutants in agricultural soil and may pose potential ecological risks to crops and human health.

1. Introduction

Polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs) and polychlorinated biphenyls (PCBs) are well-known persistent organic pollutants (POPs). These compounds have caused global concerns in the past decades due to their high toxicity, difficult degradation and bioaccumulative properties and have been listed into the Stockholm Convention on POPs since 2001. PCDD/Fs are formed unintentionally in combustion processes, such as waste incineration, forest fires, metal production, power generation and burning of fossil fuel [1,2]. PCDD/Fs are also released to the environment as unwanted byproducts from various industrial processes, such as metal smelting, pulp bleaching and production of chlorinated chemicals including chloro-phenols and chloro-organic pesticides [3,4]. PCBs were mainly produced as industrial chemicals in the last century, such as coolants and insulators in transformers and capacitors, plasticizers in printers, paints and rubber sealant [5]. PCBs can enter the environment during their manufacturing and usage, and continue to be released in electronic waste recycling even though the uses of PCBs were banned worldwide in 1980s. Additionally, the byproducts of combustion are also the important unintentional sources of PCBs in the environment [6]. The major pathways of PCDD/Fs and PCBs to aquatic environment include atmospheric transport and deposition, industrial and domestic discharge, storm and river inputs [7,8]. Due to their hydrophobic properties [9], these compounds are strongly adsorbed on particulate matters in water body, and mostly deposited into sediments. Aquatic organisms are exposed to these compounds through direct contact and ingestion, which may pose a potential threat to aquatic organisms and even human health through aquatic food chains.
Liangshui River (LSR) is the second largest drainage river in Beijing. It rises in the outlet of the sewage treatment plant (STP) of the steel plant of Beijing, and flows southeast into the North Canal main stream through Fengtai, Daxing, and Tongzhou Districts. It stretches 68 km with a basin extending over 600 square kilometers. There are more than one thousand drain outlets along the river banks, 70% of which work all the year round. Annually, LSR receives about three hundred million tons of treated or untreated domestic sewage and industrial effluent, accounting for 20% of the total discharge in Beijing’s central region. The regulation projects of LSR have been carried out by the Beijing government since the early 1990s, including controlling pollution sources, building or expanding wastewater treatment plants (WWTP) and promoting sewage pipe network management, and the water quality was therefore improved in the early years. However, due to the rapid population growth, the decreasing precipitation, the lag in the WWTP expansion and the insufficient sewage interception and treatment capacities, LSR was subjected to severe pollution.
Owing to a water shortage in the megacity of Beijing, wastewater is still one of the important non-conventional sources for many rivers such as LSR, and therefore is used widely for agricultural purposes by farmers along many rivers. The LSR basin, the main agricultural area in Beijing, is such a wastewater irrigation area. Pollutants in the aquatic environment would be inevitably transferred to land [10,11,12] through irrigation, and subsequently to crops and humans. Several investigations have reported that LSR was influenced by the discharge of drainage, with polycyclic aromatic hydrocarbons (PAHs) [13], pesticides [14] and antibiotics [15] being observed. These studies focused on the contamination of the surface water in LSR. Information concerning PCDD/Fs and PCBs in the sediment of LSR is deficient, and the pollution sources and potential risks of wastewater irrigation remain unknown. Hereby, we present a comprehensive investigation on PCDD/Fs and PCBs in sediments from the Beijing drainage river to determine the occurrence and spatial distribution characteristics of these compounds, identify the possible sources of PCDD/Fs and PCBs according to their composition of congeners and homologues, and assess the sediment quality of LSR. This study aims to acquire basic records of PCDD/Fs and PCB contamination in sediments from the metropolitan drainage river, gain insight into the risk assessment of wastewater irrigation and provide assistance to the administration in wastewater irrigation, wastewater treatment and management of municipal drainage rivers.

2. Materials and Methods

2.1. Study Sites and Sampling

The LSR basin is situated in the southeast of Beijing. It is characterized by a typical temperate and continental monsoon climate with an average annual temperature of 11.3 °C and annual precipitation of 508.4 mm, and the rainfall is concentrated in July–September. The sampling campaign was carried out in the flood season of 2013, and the depth of LSR was up to 3 m. Samples were collected from 27 sites, among which 22 sites were along the LSR main stream, and the other five sites were on the tributaries, including the Xingfeng River, the Fenggangjian River and the Xiaotaihou River. The sampling map is shown in Figure 1. L01–L05 are in Beijing’s urban area; L06 and L22–L25 are located in the Economic Technological Development Area; and L07–L21 and L27 are located in the suburbs. In total, 27 surface sediments (0–5 cm) were sampled with a stainless steel grab sampler. All the samples were sealed in clean polyethylene bags, carried to the laboratory immediately and then stored at –18 °C. Freeze-dried samples were ground into a fine powder, and then sieved through a 16-mesh sieve. After being homogenized, the samples were kept under –18 °C prior to further pretreatment.

2.2. Chemicals

13C12-labeled standard solutions of PCDD/Fs (purity > 99.9%) (calibration standard EPA 1613-CVS, surrogate standard EPA 1613-LCS and injection standard EPA 1613-IS) and PCBs (purity > 99.9%) (calibration standard EPA 68C-CVS, surrogate standard EPA 68C-LCS and injection standard EPA 68C-IS) were all provided by Wellington Laboratories (Guelph, Canada). Pesticide grade dichloromethane (DCM), n-hexane and toluene were purchased from Fisher (Fair Lawn, NJ, USA). Analytical grade anhydrous sodium sulfate (Na2SO4), sodium hydroxide (NaOH) and concentrated sulfuric acid (H2SO4) were supplied by Beijing Chemical Factory (Beijing, China). Silica gel 60 (0.063–0.100 mm), basic alumina, active carbon and diatomaceous earth were obtained from Merck (Darmstadt, Germany), Sigma-Aldrich (St. Louis, MI, USA), Supelco (Bellefonte, PA, USA) and DIONEX (Sunnyvale, CA, USA) respectively. The preparation methods of 30% (w/w) sulfuric acid-impregnated silica gel and 1.2% (w/w) sodium hydroxide impregnated silica gel have been reported previously [16].

2.3. Sample Preparation

Approximately 5 g of freeze-dried sediment sample was spiked with 13C12-labeled PCDD/Fs (EPA 1613-LCS) and 13C12-labeled PCBs (EPA 68C-LCS) and homogenized with 10 g of Na2SO4. The sample was extracted with DCM/n-hexane (1:1 v/v) using an accelerated solvent extractor (ASE 300, Dionex, Sunnyvale, CA, USA). The extraction was carried out at 150 °C and a pressure of 1500 psi with 7 min of heating time followed by 8 min of static time. The flush volume was 60%, the purge time was 120 s, and two static cycles were performed. After extraction, granulated activated copper was added in the receiving flasks to remove elemental sulfur. The extracted solution was concentrated to 1 mL with a rotary evaporator (Heidolph, Schwabach, Germany) and transferred into a multilayer silica gel column (10 mm i.d.) for cleanup. The silica gel column was filled with 1 g of neutral silica gel, 4 g of 1.2% NaOH impregnated silica gel, 1 g of neutral silica gel, 8 g of 30% H2SO4-impregnated silica gel and anhydrous Na2SO4 (2 cm height) (from bottom up). The column was conditioned with 80 mL of n-hexane and then eluted with 100 mL of n-hexane after the extract was loaded. The eluate was reduced to about 1 mL and applied to basic alumina column for further purification. The column was packed with 6 g of basic alumina at the bottom and 1 cm of Na2SO4 on the top and conditioned with 50 mL n-hexane. The target compounds were eluted using 40 mL of DCM/n-hexane (1:1 v/v). After being concentrated to 1 mL, the eluate was passed through a carbon column (1.5 g) filled with 18% activated carbon impregnated diatomaceous earth to separate PCDD/Fs and PCBs. The carbon column was conditioned with 10 mL of toluene and 10 mL of n-hexane, respectively, and then eluted with 50 mL of n-hexane (the first fraction contains PCBs) and followed by 80 mL of toluene (the second fraction contains PCDD/Fs). The two final fractions were evaporated and solvent exchanged to 20 μL of nonane in sample vials. Then, 1 ng of the injection standards (1613-IS and 68C-IS) was added before instrumental analysis.

2.4. Instrumental Analysis

PCDD/Fs and PCBs were determined using a high-resolution gas chromatographer (Agilent 6890N, Wilmington, NC, USA) coupled with high-resolution mass spectrometer (AutoSpec Ultima, Waters Micromass, Wilmslow, UK) (HRGC/HRMS). Chromatographic separation was achieved on a DB-5MS fused silica capillary column (60 m × 0.25 mm i.d. × 0.25 μm, Agilent, USA). The mass spectrometer was operated in positive electron impact (EI+) and the targets were analyzed in voltage selective ion records (VSIR) mode at a mass resolution of above 10,000. The electron energy was 35 eV, and the ion source and transfer line were kept at 270 °C. Helium was used as the carrier gas at a flow rate of 1 mL min−1. The injection port temperature was held at 270 °C and 1 μL of the sample was injected into the GC in splitless mode. The GC oven temperature was programmed as follows: for PCBs, the initial temperature was 120 °C, held for 1 min, and then increased to 150 °C at a rate of 30 °C min−1, ramped to 300 °C at 2.5 °C min−1 and held for 1 min; for PCDD/Fs, 150 °C for 3 min, 20 °C min−1 to 230 °C and held for 18 min, increased to 235 °C at 5 °C min−1 and held for 10 min, and finally 4 °C min−1 to 330 °C and held for 3 min. Seventeen 2,3,7,8-substituted PCDD/F congeners, twelve dioxin-like PCB congeners, six indicator PCB congeners and six other PCB congeners were determined.

2.5. Quality Assurance and Quality Control (QA/QC)

Determination of PCDD/Fs and PCBs was based on the US EPA method 1613B and US EPA method 1668C. Quantification of target analytes was conducted by the isotope dilution method using relative response factors (RRFs) determined from calibration curves. EPA 1613-LCS and EPA 68C-LCS were used for the quantitation of PCDD/Fs and PCBs, respectively, and the recoveries of these surrogate standards were calculated by EPA 1613-IS and EPA 68C-IS. A laboratory blank was tested for every batch of 10 samples. The limit of detection (LOD) was defined as three times the signal-to-noise ratio. The recoveries of 13C12-labeled surrogate standards were 63–85% for PCDD/Fs and 53–138% for PCBs, and the isotopic ratios of the two main ion pairs were within the limits, which met the requirements of the EPA methods. The LODs ranged between 0.04–9.38 pg g−1 and 0.04–7.4 pg g−1 for PCDD/Fs and PCBs, respectively. The PCDD/F concentrations in the laboratory blanks were below the LODs. Several PCB congeners (i.e., PCB-28 and PCB-52) were consistently detected at a relatively low level in the blanks, and the reported concentrations were therefore blank corrected.

3. Results and Discussion

3.1. Concentrations of PCDD/Fs and PCBs

The concentrations of PCDD/Fs and PCBs are summarized in Table 1 and Table 2, respectively. PCDD/Fs and PCBs were detected in all the samples. The sum PCDD/F concentrations (Σ17PCDD/Fs) ranged from 3.5 to 3019 pg g−1 dry weight (dw), with an average value of 184 ± 559 pg g−1 dw (mean ± standard deviation) and a median value of 61.5 pg g−1 dw. The sum concentrations of PCBs (Σ24PCBs) varied within the range of 319–5949 pg g−1 dw, with a mean of 1958 ± 1443 pg g−1 dw and a medium of 1297 pg g−1 dw. The corresponding World Health Organization toxic equivalent quantity (WHO-TEQ) values were in the range of 0.0011–5.1 pg TEQ g−1 dw and 0.0074–1.4 pg TEQ g−1 dw for PCDD/Fs and PCBs, respectively. In order to be comparable with previous studies (Table S1), WHO-TEQ calculated based on WHO2005-TEFs and WHO1998-TEFs [9] of PCDD/Fs and PCBs are also given in Table 1 and Table 2.
The PCDD/F levels in the sediments of LSR were 2–3 orders of magnitude lower than those in the drainage river in North China [17], the industrialized River Elbe in Germany [18] and the Norwegian Grenlandsfjords [19], while they were the same order of magnitude of those in the Liaohe River [20], the Pearl River and the Yangtze River in China [21], the Great Lakes of North America [22], the Black Sea [23] and Lake Victoria in East Africa [24], and higher than those in the Yellow River in China [21], Lake Shihwa in Korea [25] and the southern North Sea and the English Channel [26].
For PCBs, the results in the present study were 1–2 orders of magnitude lower than those in the Dagu Drainage River [17], the Liaohe River [20], the Pearl River Delta in China [27] and the Houston Ship Channel in the United States [28]. Our results were comparable with the studies on the Haihe River basin in China. Liu et al. [17] reported the PCB levels ranging between 1142 and 7473 (mean value: 3077) pg g−1 dw, corresponding to 0.1 to 0.5 (mean value: 0.27) pg TEQ g−1 dw. Wang et al. [21] found that PCBs in the surface sediments from the Haihe River varied between 2820 to 5630 (mean value: 3840) pg g−1 dw, corresponding to 0.03 to 0.1 (mean value: 0.053) pg TEQ g−1 dw. Similar results were also observed in the sediments from other locations in China, such as the Yellow River and the Yangtze River [21], and from other countries and regions including the River Elbe in Germany [18], the pounds in France [29] and the Guaratuba Bay in Brazil [30]. By contrast, our results were one order of magnitude higher than those from the estuaries and coasts [26,31].

3.2. Spatial Distribution of PCDD/Fs

The PCDD/F concentrations varied widely among sampling locations (Figure S1). An extremely high level (3019 pg g−1 dw) was found at the L20 site, which was 10–900 times higher than those of the other sites. L20, lying at the end of the LSR downstream, was close to the confluence of LSR and the North Canal which is Beijing’s major wastewater channel to the Haihe River. In addition, upstream of the North Canal receives wastewater discharged from the other three main drainage rivers including the Qinghe River, the Bahe River and the Tonghuihe River. Nearly 90% of the treated wastewater and other untreated wastewater in Beijing was discharged into the North Canal [32], which may cause severe contamination of PCDD/Fs. The sediments from L06, L17 and L23 had relatively low levels of PCDD/Fs (<10 pg g−1 dw). As shown in Figure 1, these sampling sites were behind the rubber dams built on LSR and its tributaries. L22 and L23 were separated by a rubber dam, and the former had a higher level than the latter. The PCDD/F concentrations in L06 and L17 showed the similar tendencies. A previous study [17] also reported the fluctuation of PCDD/F concentration in the sediments collected from the inside and outside of the floodgate built on the river.
Figure 2 depicted the spatial distribution of PCDD/Fs in the three functional urban areas. L01–L05 were located upstream of LSR in urban area, where there is a large WWTP in Beijing with a treatment capacity of 600,000 tons per day. The mean PCDD/F concentration was 50.6 pg g−1 dw in this area and the highest value was found at L02 (102 pg g−1 dw). L06 and L22–L25 were in the Yizhuang Economic Technological Development Area, where more than four thousand manufacture enterprises are sited. Nevertheless, the average concentration of PCDD/Fs in the sediments was the lowest (26.1 pg g−1 dw), and approximately half of that in the urban area. In recent years, a completed ecological industry system has been established in the Yizhuang Park. The high reusing rate of industry water and reclaimed water improved the utilization efficiency of water resource, and therefore decreased the industrial pollution to the aquatic environment. L26, L27 and L07–L21 in the lower reach of LSR in the suburbs were found to be heavily polluted with a mean PCDD/F level of 270 pg g−1 dw. This stretch of LSR is in the suburbs of Beijing, and outside of the sixth Ring Road, where the construction of sewage pipe networks is relatively lagging. Moreover, this area is the site of the Tongzhou industrial cluster featuring fine chemical industry, pharmaceutical industry, material industry and electronic industry. There is only one WWTP with a treatment capacity of 4000 tons per day, and the capacity of wastewater treatment is insufficient. LSR downstream flows through this zone, and the industrial effluent discharge might contribute to PCDD/Fs contamination.

3.3. Spatial Distribution of PCBs

L27 was the most heavily polluted site with the PCB concentration of 5948 pg g−1 dw. This site is in one of the tributaries of LSR, the Xiaotaihou River. This area is the chemical industry park of Beijing, where some chemical factories, dye plants, coking plants and pharmaceutical factories are grouped. In addition, there is a large landfill of municipal solid waste near the Xiaotaihou River. The heavy pollution of PCBs might come from the discharge of industrial wastewater, emission of exhaust gas and leachate of landfill. The lowest concentration of PCBs (319 pg g−1 dw) was detected at the site L06 situated behind a rubber dam. The PCB level decreased sharply from L16 (2838 pg g−1 dw) to L17 (1143 pg g−1 dw), which might be due to the protection of the dam between the two sites. However, the decreasing trend of PCB concentration was not found in the less polluted sites of L22 and L23 around a rubber dam.
The concentration distribution of PCBs in the three functional urban areas is given in Figure 2. In general, the spatial distribution was similar to that of PCDD/Fs. The PCB levels in the urban area and development area were lower than those in the suburbs. In the urban area, the average concentration was 1023 pg g−1 dw and the highest level was detected in L02 (2492 pg g−1 dw). At the sites of L06 and L22–L25 in the Yizhuang Economic Technological Development Area, the mean level was 1177 pg g−1 dw, which was slightly higher than that of the urban sites. The PCB level in the suburbs was 2463 pg g−1 dw on average and showed the same increasing trend as PCDD/Fs. This trend revealed a great contribution of heavy industrial activities in the Beijing chemical industry park and the Tongzhou industrial cluster.

3.4. Compositions of PCDD/Fs and PCBs

The compositions of PCDD/Fs and PCBs are summarized in Table 1 and Table 2. The PCDDs/PCDFs ratios in the 27 sediment samples were in the range of 0.55–17, among which two thirds were >1. Generally, the high ratio of PCDDs/PCDFs comes from chlorinated chemical industries, while the low ratio may relate to the high temperature industrial processes and combustion processes [33,34]. As shown in Figure 3, the proportions of PCDD/F congeners were generally similar among the sediment samples. They were characterized by high contribution of OCDD and OCDF, accounting for 77% of the sum PCDD/Fs, and followed by 1,2,3,4,6,7,8-HpCDF and HpCDD, together accounting for more than 14% of the sum PCDD/Fs. The proportions of tetra- through hexa- CDD/F congeners were generally less than 10% or not detected at the light polluted sites, such as L06, L17 and L23 behind the rubber dams. The relatively higher contribution of high-chlorinated PCDD/F congeners has also been found in other studies. Nieuwoudt et al. [35] reported that the homologue contributions of PCDD/Fs in soils and sediments of central South Africa consisted of OCDD > OCDF > HpCDD > HpCDF. The survey on PCDD/Fs in the surface sediments from Korea [36] found that the OCDD contribution was > 50%, followed by OCDF, 1,2,3,4,6,7,8-HpCDF and 1,2,3,4,6,7,8-HpCDD. OCDD and 1,2,3,4,6,7,8-HpCDD accounted for more than 78% of the sum concentration of PCDD/Fs in sediment and biota of Portugal [37]. The congener profiles of PCDD/Fs in sediments from the lakes and the coastal sea areas in Shandong Peninsula of China [38] were also characterized by high OCDD, OCDF and 1,2,3,4,6,7,8-HpCDD.
As shown in Table 2, the compositions of the 12 dioxin-like PCBs (dl-PCBs), 6 indicator PCBs and 6 other PCB congeners were quite similar in the samples, accounting for 10%, 40% and 50% of the sum PCB concentrations on average, respectively. The heavier PCBs made greater contributions to the sum concentrations following the order: deca-CB (36%) > Hepta-CBs (20%) > Tri-CBs (15%) > Penta-CBs (11%). PCB-209 and PCB-28 contributed more than 50% of the sum PCBs. Currently, few studies have focused on PCB-209 pollution in the environment due to its less toxic characteristic and not being the common congener in technical PCBs. Guo et al. [39] observed high concentrations of PCB-209 in sewage sludge samples of urban wastewater treatment plants and inferred that the industrial effluent was the major source. Howell et al. [28] reported that the high fraction of PCB-209 in the Houston Ship Channel (HSC) originated from the unusual Aroclor mixtures used in the history of the HSC or contemporary sources from local industries. Wang et al. [12] found that wastewater irrigated cropland contained a high proportion of PCB-209. Though it is difficult to trace the origin of PCB-209 in this study, the relative higher abundance of PCB-209 in industrial park than that in urban area indicates that industrial effluent could be the important source of PCB-209 [6]. Concerning indicator PCBs, PCB-28 was the dominant congener, accounting for 37%. The results were consistent with those observed in the Dianchi Lake [40], seven major river basins in China [21] and WWTP [39]. Figure 3 shows that the contributions of PCB-28 in the sediments from urban area (mean value: 34%) were obviously higher than those from development area and suburb (mean value: 12%), suggesting that municipal sewage is an important source of indicator PCBs. For dl-PCBs, all the samples had the similar congener profiles. PCB-118 was the predominant congener, accounting for 40% of the sum dl-PCBs on average, and followed by PCB-105 (15%) and PCB-77 (13%). These results were similar to those previously reported in sewage sludge [39] and sediments [21,25,35].

3.5. Principal Component Analysis Analysis and Source Implication

Emissions from various POPs sources usually show the characteristic profiles of homologues and congeners, and thus the profiles can be used to identify the potential sources of pollutants. In the present study, principal component analysis (PCA) was employed to identify the potential sources of PCDD/Fs and PCBs in LSR. The typical sources of PCDD/Fs (Table S2) included chlorinated chemical industries, metallurgy industries, combustion processes, wastewater and solid waste treatment [20]. Concentrations of the 17 PCDD/F congeners were normalized to the sum concentrations before data processing. As shown in Figure 4, the first principal components (PC1) and second principal components (PC2) explained 49% and 20% of the total variance, respectively. All the samples were grouped around PCP, PCP-Na and MSWI, suggesting that PCP, PCP-Na and municipal solid waste incineration might be related to the PCDD/Fs pollution in LSR. PCP and PCP-Na used as general pesticides, paddy herbicides and wood and textile preservatives have been produced in China since the late 1950s. As the impurities in technical PCP and PCP-Na, high levels of PCDD/Fs were detected in the areas where PCP and PCP-Na were largely produced and used [17,41,42]. The eastern and southern suburbs of Beijing are the major grain producing areas and the industrial bases of chemical, textile and pharmaceutical industries. It can be inferred that the use of PCP and PCP-Na as pesticides [43], municipal solid waste incineration and the industrial emissions could contribute to the contamination of PCDD/Fs in the LSR basin.
PCBs are a kind of industrial products and are mainly used in power capacitors, transformers and paint additives in China. Approximately 10,000 tons of commercial PCB products were produced in China from 1965 to 1974, in which 9000 tons was trichlorobiphenyl (similar to Arochlor 1242), and 1000 tons was pentachlorobiphenyl (similar to Arochlor 1254) [20]. Electronic waste (E-waste) dismantling and recycling have been reported to be one of the important sources of PCBs in China [16,50]. In addition, industrial activities and combustion processes such as iron ore sintering, steel manufacturing, metallurgy and coal burning also contribute to PCB contamination. Considering the high toxicity of dl-PCBs, PCA was also conducted for the sediment samples in this study and the selected sources (Table S3) to identify the potential sources. Concentrations of the individual congeners were normalized to the sum dl-PCBs before PCA was performed. As shown in Figure 5, the extracted top three principal components explained 70% of the total variability (28% for PC1, 26% for PC2 and 16% for PC3), and thus can be used to reveal the relationships between the raw data in this study and the suspected sources. Most of the sediment samples had relatively low factor scores (between –1 and 1) in the first three principal components, and were grouped around the steel industry, combustion sources, WWTP, municipal solid waste and some commercial PCB products (Figure 5). However, the sites L06, L22 and L27 had high factor scores in PC2, and thus were far away from other sites. Gaseous emissions from secondary aluminum and copper metallurgies had remarkably higher positive factor scores in PC1 and negative scores in PC2 (Figure 5a), and were obviously separated into another group, indicating that they could not be the major sources of PCBs in LSR. It should be noted that L01–L05 (Figure 5b) were clustered together with ambient air around the steel plant and gaseous emission from the iron ore sintering plant. These samples were all collected from the upstream of LSR where a former large steel plant was located, and the river just originates from the STP of the plant. The PCA results confirmed that the PCB contamination in urban sampling stations may originate from steel industry. It is known that the plant has stopped steelmaking since 2011 and moved away from Beijing. However, our observations suggested that its impact on the local environment still exists. Based on these results, it can be inferred that the PCB contamination in LSR could be mainly attributed to the inputs of the steel industry and combustion processes including coal and hardwood burning [48], and the usage of commercial PCB products also made a contribution to some extent.

3.6. Potential Ecotoxicological Risks of PCDD/Fs and PCBs

Sediments provide the natural habitat for aquatic organisms. Acting as the important sinks and repositories of POP cycling, sediments subsequently become a main source of these pollutants in the environment. Due to their high toxicity and great chemical stability, PCDD/Fs and PCBs in sediments may pose long-term exposer risks to aquatic ecosystems and human health. In this study, the toxicity of sediments was estimated by the TEQs calculated using toxic equivalent factors to 2,3,7,8-TCDD. Sediment quality guidelines (SQGs) derived by the Canadian Council of Ministers of the Environment (CCME) [54] were used to identify and evaluate the ecotoxicological risks of PCDD/Fs and PCBs in the sediments from LSR. The guidelines define two ranges of concentrations expressed on a TEQ basis and adjusted by a safety factor of 10: interim sediment quality guidelines (ISQGs) of 0.85 pg TEQ g−1 dw, below which the incidence of adverse biological effects rarely occur, and the probable effect level (PEL) of 21.5 pg TEQ g−1 dw, above which adverse effects are expected to occur frequently. The TEQ levels presented in the guidelines include concentrations of 2,3,7,8-substituted PCDD/Fs and coplanar PCBs. Figure 6 showed the ISQGs and the total TEQ (the sum TEQ levels of PCDD/Fs and PCBs) in our study. The spatial distribution of the TEQ levels showed site-specific characteristics. Relatively higher TEQ levels were found in the downstream sediments than those in the upstream sediments. The top five values were all from the downstream sediments. As mentioned above, the downstream area of LSR was subject to multidisciplinary industrial effluent discharge and low capacity of wastewater treatment. The results of TEQ levels and spatial distribution (Figure 6 and Figure 2) indicate that industrial inputs were the main sources of PCDD/Fs and PCBs.
None of the total TEQs at the 27 sites exceeded the PEL, while their mean value was above the ISQGs. These results indicate that adverse biological effects would occur occasionally, and the sediments of LSR are considered to be hazards to exposed organisms. In light of the above, it is suggested that continued monitoring and assessment of sediment quality of LSR may be necessary. In addition to the aquatic environment, it should be noted that LSR is the important agricultural water source in Beijing, and has been available for half a century. PCDD/Fs and PCBs in the sediments could be the secondary sources to the overlying water column [12,22], could be transferred to soils and crops by way of irrigation and eventually enter human body through food chains. The data set in the present research should be used as a baseline and reference sites for source identification and risk assessment and management. Further investigations for the ecotoxicological risks of sediment-bound pollutants and effective management strategies of wastewater discharge are urgent.

4. Conclusions

In the present study, PCDD/Fs and PCBs were analyzed in the surface sediments collected from LSR. Concentrations of these pollutants were generally comparable to the results reported in other regions globally. Spatial distribution confirmed the impact of the wastewater discharged from industrial activities on occurrence of PCDD/Fs and PCBs. The PCDD/Fs contamination might be attributed to PCP and PCP-Na used as pesticides, as well as the solid waste treatment. While the PCB contamination mainly originated from the mixed sources of the steel industry, combustion processes and, to a lesser extent, some commercial PCB products. The average of the total TEQs at the 27 sites exceeded the ISQGs, and higher TEQ values were observed at the sampling sites from the downstream area.
The data obtained from the present study suggest that the contaminated sediments could be the secondary sources of pollutant emissions to the river. In the water-scare regions, long-term wastewater irrigation increases the load of sediment-bound pollutants on farmland. Moreover, the pollutants accumulated in agricultural soils could be transferred to crops, and in the end, to humans, which should pose potential risks to food safety and public health. The rapid development and population growth increase the demands for water resources, and wastewater is commonly used for agriculture in the regions of water shortages. Therefore, more water quality monitoring, source identification and environmental fate investigations should be carried out to assess the potential risks of pollutants to the environment and human health. Management concerns should be focused on controlling wastewater discharge from industrial sources, increasing the capacities and efficiencies of wastewater treatment, and environmental remediations may also be necessary in the seriously contaminated regions.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijerph192416465/s1, Table S1. Comparison of PCDD/Fs and PCBs in sediments from different regions. Table S2. Compositions of PCDD/F congeners in possible sources. Table S3. Compositions of dl-PCB congeners in possible sources. Figure S1. Distribution of PCDD/F (a) and PCB (b) concentrations in the sediments from LSR. References [55,56,57,58,59] are cited in the Supplementary Materials.

Author Contributions

Conceptualization, Q.Z.; methodology, P.W.; formal analysis, H.L.; investigation, H.L. and W.L.; writing—original draft preparation, H.L.; writing—review and editing, H.L., P.W. and R.Y.; funding acquisition, Y.J.; resources, G.L., W.R. and J.L. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Key Research and Development Program of China (grant number: 2019YFE0111100), the Natural Science Foundation of China (grant number: 41977327), the National Water Pollution Control Program (grant number: 2012ZX07203-006-08), and the Technical Support Talent Program of the Chinese Academy of Science (grant number: 2021).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available in the article and the Supplementary Materials.

Acknowledgments

We thank Baoqing Shan and Wenzhong Tang at the State Key Laboratory on Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences for their assistance in sample collection.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Green, N.J.L.; Hassanin, A.; Johnston, A.E.; Jones, K.C. Observations on historical, contemporary, and natural PCDD/Fs. Environ. Sci. Technol. 2004, 38, 715–723. [Google Scholar] [CrossRef] [PubMed]
  2. Lei, R.; Xu, Z.; Xing, Y.; Liu, W.; Wu, X.; Jia, T.; Sun, S.; He, Y. Global status of dioxin emission and China’s role in reducing the emission. J. Hazard. Mater. 2021, 418, 126265:1–126265:10. [Google Scholar] [CrossRef] [PubMed]
  3. Bruckmeier, B.F.A.; Jüttner, I.; Schramm, K.-W.; Winkler, R.; Steinberg, C.E.W.; Kettrup, A. PCBs and PCDD/Fs in lake sediments of Großer Arbersee, Bavarian Forest, South Germany. Environ. Pollut. 1997, 95, 19–25. [Google Scholar] [CrossRef] [PubMed]
  4. Cole, J.G.; Mackay, D.; Jones, K.C.; Alcock, R.E. Interpreting, correlating, and predicting the multimedia concentrations of PCDD/Fs in the United Kingdom. Environ. Sci. Technol. 1999, 33, 399–405. [Google Scholar] [CrossRef]
  5. Zheng, G.J.; Leung, A.O.W.; Jiao, L.P.; Wong, M.H. Polychlorinated dibenzo-p-dioxins and dibenzofurans pollution in China: Sources, environmental levels and potential human health impacts. Environ. Int. 2008, 34, 1050–1061. [Google Scholar] [CrossRef]
  6. Ishikawa, Y.; Noma, Y.; Yamamoto, T.; Mori, Y.; Sakai, S. PCB decomposition and formation in thermal treatment plant equipment. Chemosphere 2007, 67, 1383–1393. [Google Scholar] [CrossRef]
  7. Totten, L.A.; Panangadan, M.; Eisenreich, S.J.; Cavallo, G.J.; Fikslin, T.J. Direct and indirect atmospheric deposition of PCBs to the Delaware River Watershed. Environ. Sci. Technol. 2006, 40, 2171–2176. [Google Scholar] [CrossRef]
  8. Zhou, J.L.; Maskaoui, K.; Qiu, Y.W.; Hong, H.S.; Wang, Z.D. Polychlorinated biphenyl congeners and organochlorine insecticides in the water column and sediments of Daya Bay, China. Environ. Pollut. 2001, 113, 373–384. [Google Scholar] [CrossRef]
  9. Van den Berg, M.; Birnbaum, L.S.; Denison, M.; De Vito, M.; Farland, W.; Feeley, M.; Fiedler, H.; Hakansson, H.; Hanberg, A.; Haws, L.; et al. The 2005 World Health Organization reevaluation of human and mammalian toxic equivalency factors for dioxins and dioxin-like compounds. Toxicol. Sci. 2006, 93, 223–241. [Google Scholar] [CrossRef]
  10. Chen, C.; Li, J.; Chen, P.; Ding, R.; Zhang, P.; Li, X. Occurrence of antibiotics and antibiotic resistances in soils from wastewater irrigation areas in Beijing and Tianjin, China. Environ. Pollut. 2014, 193, 94–101. [Google Scholar] [CrossRef]
  11. Jin, A.; He, J.; Chen, S.; Huang, G. Distribution and transport of PAHs in soil profiles of different water irrigation areas in Beijing, China. Environ. Sci. Processes Impacts 2014, 16, 1526–1534. [Google Scholar] [CrossRef] [PubMed]
  12. Wang, T.; Wang, Y.; Fu, J.; Wang, P.; Li, Y.; Zhang, Q.; Jiang, G. Characteristic accumulation and soil penetration of polychlorinated biphenyls and polybrominated diphenyl ethers in wastewater irrigated farmlands. Chemosphere 2010, 81, 1045–1051. [Google Scholar] [CrossRef] [PubMed]
  13. Qi, W.; Liu, H.; Pernet-Coudrier, B.; Qu, J. Polycyclic aromatic hydrocarbons in wastewater, WWTPs effluents and in the recipient waters of Beijing, China. Environ. Sci. Pollut. Res. 2013, 20, 4254–4260. [Google Scholar] [CrossRef] [PubMed]
  14. Heeb, F.; Singer, H.; Pernet-Coudrier, B.; Qi, W.; Liu, H.; Longrée, P.; Müller, B.; Berg, M. Organic micropollutants in rivers downstream of the megacity Beijing: Sources and mass fluxes in a large-scale wastewater irrigation system. Environ. Sci. Technol. 2012, 46, 8680–8688. [Google Scholar] [CrossRef] [PubMed]
  15. Li, W.; Gao, L.; Shi, Y.; Wang, Y.; Liu, J.; Cai, Y. Spatial distribution, temporal variation and risks of parabens and their chlorinated derivatives in urban surface water in Beijing, China. Sci. Total Environ. 2016, 539, 262–270. [Google Scholar] [CrossRef] [PubMed]
  16. Shang, H.; Wang, P.; Wang, T.; Wang, Y.; Zhang, H.; Fu, J.; Ren, D.; Chen, W.; Zhang, Q.; Jiang, G. Bioaccumulation of PCDD/Fs, PCBs and PBDEs by earthworms in field soils of an E-waste dismantling area in China. Environ. Int. 2013, 54, 50–58. [Google Scholar] [CrossRef] [PubMed]
  17. Liu, H.; Zhang, Q.; Wang, Y.; Cai, Z.; Jiang, G. Occurrence of polychlorinated dibenzo-p-dioxins, dibenzofurans and biphenyls pollution in sediments from the Haihe River and Dagu Drainage River in Tianjin City, China. Chemosphere 2007, 68, 1772–1778. [Google Scholar] [CrossRef]
  18. Götz, R.; Bauer, O.-H.; Friesel, P.; Herrmann, T.; Jantzen, E.; Kutzke, M.; Lauer, R.; Paepke, O.; Roch, K.; Rohweder, U.; et al. Vertical profile of PCDD/Fs, dioxin-like PCBs, other PCBs, PAHs, chlorobenzenes, DDX, HCHs, organotin compounds and chlorinated ethers in dated sediment/soil cores from flood-plains of the river Elbe, Germany. Chemosphere 2007, 67, 592–603. [Google Scholar] [CrossRef]
  19. Ishaq, R.; Persson, N.J.; Zebühr, Y.; Broman, D. PCNs, PCDD/Fs, and non-orthoPCBs, in water and bottom sediments from the industrialized Norwegian Grenlandsfjords. Environ. Sci. Technol. 2009, 43, 3442–3447. [Google Scholar] [CrossRef]
  20. Zhang, H.; Zhao, X.; Ni, Y.; Lu, X.; Chen, J.; Su, F.; Zhao, L.; Zhang, N.; Zhang, X. PCDD/Fs and PCBs in sediments of the Liaohe River, China: Levels, distribution, and possible sources. Chemosphere 2010, 79, 754–762. [Google Scholar] [CrossRef]
  21. Wang, P.; Shang, H.; Li, H.; Wang, Y.; Li, Y.; Zhang, H.; Zhang, Q.; Liang, Y.; Jiang, G. PBDEs, PCBs and PCDD/Fs in the sediments from seven major river basins in China: Occurrence, congener profile and spatial tendency. Chemosphere 2016, 144, 13–20. [Google Scholar] [CrossRef] [PubMed]
  22. Li, A.; Guo, J.; Li, Z.; Lin, T.; Zhou, S.; He, H.; Ranansinghe, P.; Sturchio, N.C.; Rockne, K.J.; Giesy, J.P. Legacy polychlorinated organic pollutants in the sediment of the Great Lakes. J. Great Lakes Res. 2018, 44, 682–692. [Google Scholar] [CrossRef]
  23. Dinç, B.; Çelebi, A.; Avaz, G.; Canlı, O.; Güzel, B.; Eren, B.; Yetis, U. Spatial distribution and source identification of persistent organic pollutants in the sediments of the Yeşilırmak River and coastal area in the Black Sea. Mar. Pollut. Bull. 2021, 172, 112884:1–112884:12. [Google Scholar] [CrossRef] [PubMed]
  24. Ssebugere, P.; Kiremire, B.T.; Henkelmann, B.; Bernhöft, S.; Wasswa, J.; Kasozi, G.N.; Schramm, K.-W. PCDD/Fs and dioxin-like PCBs in surface sediments from Lake Victoria, East Africa. Sci. Total Environ. 2013, 454, 528–533. [Google Scholar] [CrossRef]
  25. Moon, H.-B.; Choi, M.; Choi, H.-G.; Kannan, K. Severe pollution of PCDD/Fs and dioxin-like PCBs in sediments from Lake Shihwa, Korea: Tracking the source. Mar. Pollut. Bull. 2012, 64, 2357–2363. [Google Scholar] [CrossRef]
  26. Danis, B.; Debacker, V.; Trujilo Miranda, C.; Dubois, P. Levels and effects of PCDD/Fs and co-PCBs in sediments, mussels, and sea stars of the intertidal zone in the southern North Sea and the English Channel. Ecotoxicol. Environ. Saf. 2006, 65, 188–200. [Google Scholar] [CrossRef]
  27. Wang, W.; Bai, J.; Zhang, G.; Jia, J.; Wang, X.; Liu, X.; Cui, B. Occurrence, sources and ecotoxicological risks of polychlorinated biphenyls (PCBs) in sediment cores from urban, rural and reclamation-affected rivers of the Pearl River Delta, China. Chemosphere 2019, 218, 359–367. [Google Scholar] [CrossRef]
  28. Howell, N.L.; Suarez, M.P.; Rifai, H.S.; Koenig, L. Concentrations of polychlorinated biphenyls (PCBs) in water, sediment, and aquatic biota in the Houston Ship Channel, Texas. Chemosphere 2008, 70, 593–606. [Google Scholar] [CrossRef]
  29. Thomas, M.; Lazartigues, A.; Banas, D.; Brun-Bellut, J.; Feidt, C. Organochlorine pesticides and polychlorinated biphenyls in sediments and fish from fresh water cultured fish ponds in different agricultural contexts in north-eastern France. Ecotoxicol. Environ. Saf. 2012, 77, 35–44. [Google Scholar] [CrossRef]
  30. Combi, T.; Taniguchi, S.; Figueira, R.C.L.; Mahiques, M.M.; Martins, C.C. Spatial distribution and historical input of polychlorinated biphenyls (PCBs) and organochlorine pesticides (OCPs) in sediments from a subtropical estuary (Guaratuba Bay, SW Atlantic). Mar. Pollut. Bull. 2013, 70, 247–252. [Google Scholar] [CrossRef]
  31. Hong, Q.; Wang, Y.; Luo, X.; Chen, S.; Chen, J.; Cai, M.; Cai, M.; Mai, B. Occurrence of polychlorinated biphenyls (PCBs) together with sediment properties in the surface sediments of the Bering Sea, Chukchi Sea and Canada Basin. Chemosphere 2012, 88, 1340–1345. [Google Scholar] [CrossRef] [PubMed]
  32. Qi, W.; Singer, H.; Berg, M.; Müller, B.; Pernet-Coudrier, B.; Liu, H.; Qu, J. Elimination of polar micropollutants and anthropogenic markers by wastewater treatment in Beijing, China. Chemosphere 2015, 119, 1054–1061. [Google Scholar] [CrossRef] [PubMed]
  33. Ren, M.; Peng, P.; Chen, D.; Chen, P.; Li, X. Patterns and sources of PCDD/Fs and dioxin-like PCBs in surface sediments from the East River, China. J. Hazard. Mater. 2009, 170, 473–478. [Google Scholar] [CrossRef] [PubMed]
  34. Zhao, X.; Zhang, H.; Fan, J.; Guan, D.; Zhao, H.; Ni, Y.; Li, Y.; Chen, J. Dioxin-like compounds in sediments from the Daliao River Estuary of Bohai Sea: Distribution and their influencing factors. Mar. Pollut. Bull. 2011, 62, 918–925. [Google Scholar] [CrossRef] [PubMed]
  35. Nieuwoudt, C.; Quinn, L.P.; Pieters, R.; Jordaan, I.; Visser, M.; Kylin, H.; Borgen, A.R.; Giesy, J.P.; Bouwman, H. Dioxin-like chemicals in soil and sediment from residential and industrial areas in central South Africa. Chemosphere 2009, 76, 774–783. [Google Scholar] [CrossRef]
  36. Kim, K.-S.; Lee, S.C.; Kim, K.-H.; Shim, W.J.; Hong, S.H.; Choi, K.H.; Yoon, J.H.; Kim, J.-G. Survey on organochlorine pesticides, PCDD/Fs, dioxin-like PCBs and HCB in sediments from the Han river, Korea. Chemosphere 2009, 75, 580–587. [Google Scholar] [CrossRef]
  37. Nunes, M.; Marchand, P.; Vernisseau, A.; Le Bizec, B.; Ramos, F.; Pardal, M.A. PCDD/Fs and dioxin-like PCBs in sediment and biota from the Mondego estuary (Portugal). Chemosphere 2011, 83, 1345–1352. [Google Scholar] [CrossRef]
  38. Pan, J.; Yang, Y.; Geng, C.; Yeung, L.W.Y.; Cao, X.; Dai, T. Polychlorinated biphenyls, polychlorinated dibenzo-p-dioxins and dibenzofurans in marine and lacustrine sediments from the Shandong Peninsula, China. J. Hazard. Mater. 2010, 176, 274–279. [Google Scholar] [CrossRef]
  39. Guo, L.; Zhang, B.; Xiao, K.; Zhang, Q.; Zheng, M. Levels and distributions of polychlorinated biphenyls in sewage sludge of urban wastewater treatment plants. J. Environ. Sci. 2009, 21, 468–473. [Google Scholar] [CrossRef]
  40. Wan, X.; Pan, X.; Wang, B.; Zhao, S.; Hu, P.; Li, F.; Boulanger, B. Distributions, historical trends, and source investigation of polychlorinated biphenyls in Dianchi Lake, China. Chemosphere 2011, 85, 361–367. [Google Scholar] [CrossRef]
  41. Zhang, Q.; Jiang, G. Polychlorinated dibenzo-p-dioxins/furans and polychlorinated biphenyls in sediments and aquatic organisms from the Taihu Lake, China. Chemosphere 2005, 61, 314–322. [Google Scholar] [CrossRef] [PubMed]
  42. Zheng, M.-H.; Bao, Z.-C.; Wang, K.-O.; Yang, H.; Xu, X.-B. Polychlorinated dibenzo-p-dioxins and dibenzofurans in lake sediments from Chinese schistosomiasis areas. Bull. Environ. Contam. Toxicol. 1997, 59, 653–656. [Google Scholar] [CrossRef] [PubMed]
  43. Gao, J.; Liu, L.; Liu, X.; Zhou, H.; Huang, S.; Wang, Z. Levels and spatial distribution of chlorophenols—2,4-dichlorophenol, 2,4,6-trichlorophenol, and pentachlorophenol in surface water of China. Chemosphere 2008, 71, 1181–1187. [Google Scholar] [CrossRef] [PubMed]
  44. Bao, Z.; Wang, K.; Kang, J.; Zhao, L. Analysis of polychlorinated dibenzo-p-dioxins and polychlorinated dibenzofurans in pentachloroohenol and sodium pentachlorophenate. Environ. Chem. 1995, 14, 317–321. (In Chinese) [Google Scholar]
  45. Li, Y.; Wang, P.; Ding, L.; Li, X.; Wang, T.; Zhang, Q.; Yang, H.; Jiang, G.; Wei, F. Atmospheric distribution of polychlorinated dibenzo-p-dioxins, dibenzofurans and dioxin-like polychlorinated biphenyls around a steel plant Area, Northeast China. Chemosphere 2010, 79, 253–258. [Google Scholar] [CrossRef]
  46. Xu, M.; Yan, J.; Lu, S.; Li, X.; Chen, T.; Ni, M.; Dai, H.; Cen, K. Source identification of PCDD/Fs in agricultural soils near to a Chinese MSWI plant through isomer-specific data analysis. Chemosphere 2008, 71, 1144–1155. [Google Scholar] [CrossRef]
  47. Zheng, M.-H.; Bao, Z.-C.; Zhang, B.; Xu, X.-B. Polychlorinated dibenzo-p-dioxins and dibenzofurans in paper making from a pulp mill in China. Chemosphere 2001, 44, 1335–1337. [Google Scholar] [CrossRef]
  48. Lee, R.G.M.; Coleman, P.; Jones, J.L.; Jones, K.C.; Lohmann, R. Emission factors and importance of PCDD/Fs, PCBs, PCNs, PAHs and PM10 from the domestic burning of coal and wood in the U.K. Environ. Sci. Technol. 2005, 39, 1436–1447. [Google Scholar] [CrossRef]
  49. Shih, S.-I.; Lee, W.-J.; Lin, L.-F.; Huang, J.-Y.; Su, J.-W.; Chang-Chien, G.-P. Significance of biomass open burning on the levels of polychlorinated dibenzo-p-dioxins and dibenzofurans in the ambient air. J. Hazard. Mater. 2008, 153, 276–284. [Google Scholar] [CrossRef]
  50. Fu, J.; Wang, T.; Wang, P.; Qu, G.; Wang, Y.; Zhang, Q.; Zhang, A.; Jiang, G. Temporal trends (2005–2009) of PCDD/Fs, PCBs, PBDEs in rice hulls from an e-waste dismantling area after stricter environmental regulations. Chemosphere 2012, 88, 330–335. [Google Scholar] [CrossRef]
  51. Kim, K.S.; Hirai, Y.; Kato, M.; Urano, K.; Masunaga, S. Detailed PCB congener patterns in incinerator flue gas and commercial PCB formulations (Kanechlor). Chemosphere 2004, 55, 539–553. [Google Scholar] [CrossRef] [PubMed]
  52. Takasuga, T.; Senthilkumar, K.; Matsumura, T.; Shiozaki, K.; Sakai, S. Isotope dilution analysis of polychlorinated biphenyls (PCBs) in transformer oil and global commercial PCB formulations by high resolution gas chromatography–high resolution mass spectrometry. Chemosphere 2006, 62, 469–484. [Google Scholar] [CrossRef] [PubMed]
  53. Sakai, S.-I.; Hayakawa, K.; Takatsuki, H.; Kawakami, I. Dioxin-like PCBs released from waste incineration and their deposition flux. Environ. Sci. Technol. 2001, 35, 3601–3607. [Google Scholar] [CrossRef] [PubMed]
  54. Canadian Council of Ministers of the Environment. Canadian Sediment Quality Guidelines for the Protection of Aquatic Life, Polychlorinated Dibenzo-p-Dioxins and Polychlorinated Dibenzofurans (PCDD/Fs); CCME: Winnipeg, MB, Canada, 2001. [Google Scholar]
  55. Zhou, S.S.; Shao, L.Y.; Yang, H.Y.; Wang, C.; Liu, W.P. Residues and sources recognition of polychlorinated biphenyls in surface sediments of Jiaojiang Estuary, East China Sea. Mar. Pollut. Bull. 2012, 64, 539–545. [Google Scholar] [CrossRef]
  56. Hu, J.; Xiao, X.; Peng, P.; Huang, W.; Chen, D.; Cai, Y. Spatial distribution of polychlorinated dibenzo-p-dioxins and dibenzo-furans (PCDDs/Fs) in dust, soil, sediment and health risk assessment from an intensive electronic waste recycling site in Southern China. Environ. Sci. Process. Impacts 2013, 15, 1889–1896. [Google Scholar] [CrossRef] [PubMed]
  57. Chi, K.H.; Chang, M.B.; Kao, S.J. Historical trends of PCDD/Fs and dioxin-like PCBs in sediments buried in a reservoir in Northern Taiwan. Chemosphere 2007, 68, 1733–1740. [Google Scholar] [CrossRef] [PubMed]
  58. Koh, C.-H.; Khim, J.S.; Kannan, K.; Villeneuve, D.L.; Senthilkumar, K.; Giesy, J.P. Polychlorinated dibenzo-p-dioxins (PCDDs), dibenzofurans (PCDFs), biphenyls (PCBs), and polycyclic aromatic hydrocarbons (PAHs) and 2,3,7,8-TCDD equivalents (TEQs) in sediment from the Hyeongsan River, Korea. Environ. Pollut. 2004, 132, 489–501. [Google Scholar] [CrossRef]
  59. Piazza, R.; Giuliani, S.; Bellucci, L.G.; Mugnai, C.; Cu, N.H.; Nhon, D.H.; Vecchiato, M.; Romano, S.; Frignani, M. PCDD/Fs in sediments of Central Vietnam coastal lagoons: In search of TCDD. Mar. Pollut. Bull. 2010, 60, 2303–2310. [Google Scholar] [CrossRef][Green Version]
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Figure 1. Sampling sites for the surface sediments from Liangshui River (LSR) in Beijing, China.
Figure 1. Sampling sites for the surface sediments from Liangshui River (LSR) in Beijing, China.
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Figure 2. Spatial distribution of polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs) (a) and polychlorinated biphenyls (PCBs) (b) in the three functional urban areas in Beijing. Urban area included 5 sites, L01–L05; development area included 5 sites, L06 and L22–L25; suburb included 17 sites, L07–L21 and L26–L27.
Figure 2. Spatial distribution of polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs) (a) and polychlorinated biphenyls (PCBs) (b) in the three functional urban areas in Beijing. Urban area included 5 sites, L01–L05; development area included 5 sites, L06 and L22–L25; suburb included 17 sites, L07–L21 and L26–L27.
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Figure 3. Percentage composition of PCDD/F (a) and PCB (b) congeners in the sediments from LSR.
Figure 3. Percentage composition of PCDD/F (a) and PCB (b) congeners in the sediments from LSR.
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Figure 4. Principal component analysis (PCA) score plot of the 2,3,7,8-substituted PCDD/F congeners in the sediments of LSR and the samples from the typical sources. Abbreviations: PCP, pentachlorophenol [44]; PCP-Na, sodium pentachlorophenate [44]; STEEL, ambient air around a steel plant [45]; Al, gaseous emission from secondary Al metallurgy [20]; Cu, gaseous emission from secondary Cu metallurgy [20]; IOS, gaseous emission from iron ore sintering plants [20]; MSWI-FS, fluvo-aquic soil near to a municipal solid waste incineration (MSWI) plant [46]; MSWI-PS, paddy soil near to a MSWI plant [46]; MSWI-F, flue gas from an MSWI plant [46]; MSWI-FA, fly ash from a MSWI plant [46]; WWPM, waste water from a pulp mill [47]; HCB, housecoal burning [48]; ASOB, agricultural straw open burning [49].
Figure 4. Principal component analysis (PCA) score plot of the 2,3,7,8-substituted PCDD/F congeners in the sediments of LSR and the samples from the typical sources. Abbreviations: PCP, pentachlorophenol [44]; PCP-Na, sodium pentachlorophenate [44]; STEEL, ambient air around a steel plant [45]; Al, gaseous emission from secondary Al metallurgy [20]; Cu, gaseous emission from secondary Cu metallurgy [20]; IOS, gaseous emission from iron ore sintering plants [20]; MSWI-FS, fluvo-aquic soil near to a municipal solid waste incineration (MSWI) plant [46]; MSWI-PS, paddy soil near to a MSWI plant [46]; MSWI-F, flue gas from an MSWI plant [46]; MSWI-FA, fly ash from a MSWI plant [46]; WWPM, waste water from a pulp mill [47]; HCB, housecoal burning [48]; ASOB, agricultural straw open burning [49].
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Figure 5. PCA score plot of the dioxin-like PCB (dl-PCB) congeners in the sediments of LSR and the samples from the typical sources; (a) PC1 and PC2 score plot; (b), PC1 and PC3 score plot. Abbreviations: HCB, housecoal burning [48]; HWB, hardwood burning [48]; KC, brand name of commercial PCB formulations, Kanechlor [51]; Ar, brand name of commercial PCB formulations, Aroclor [52]; Al, gaseous emission from secondary Al metallurgy [20]; Cu, gaseous emission from secondary Cu metallurgy [20]; IOS, gaseous emission from iron ore sintering plants [20]; WWTP, sewage sludge of urban wastewater treatment plants [39]; STEEL, ambient air around a steel plant [45]; MSW, municipal solid waste [53].
Figure 5. PCA score plot of the dioxin-like PCB (dl-PCB) congeners in the sediments of LSR and the samples from the typical sources; (a) PC1 and PC2 score plot; (b), PC1 and PC3 score plot. Abbreviations: HCB, housecoal burning [48]; HWB, hardwood burning [48]; KC, brand name of commercial PCB formulations, Kanechlor [51]; Ar, brand name of commercial PCB formulations, Aroclor [52]; Al, gaseous emission from secondary Al metallurgy [20]; Cu, gaseous emission from secondary Cu metallurgy [20]; IOS, gaseous emission from iron ore sintering plants [20]; WWTP, sewage sludge of urban wastewater treatment plants [39]; STEEL, ambient air around a steel plant [45]; MSW, municipal solid waste [53].
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Figure 6. Comparison between the total toxic equivalent quantity (TEQ) of PCDD/Fs and PCBs in the sediments from LSR and the Canadian interim sediment quality guidelines (ISQGs).
Figure 6. Comparison between the total toxic equivalent quantity (TEQ) of PCDD/Fs and PCBs in the sediments from LSR and the Canadian interim sediment quality guidelines (ISQGs).
Ijerph 19 16465 g006
Table 1. Concentrations (pg g−1 dw) of PCDD/Fs in the surface sediments from LSR.
Table 1. Concentrations (pg g−1 dw) of PCDD/Fs in the surface sediments from LSR.
LocationL01L02L03L04L05L06L07L08L09L10L11L12L13L14
2,3,7,8-TCDFnd0.990.71nd0.43nd4.32.61.9nd1.80.973.1nd
1,2,3,7,8-PeCDFndnd0.54nd0.36nd1.72.1ndnd1.4nd1.72nd
2,3,4,7,8-PeCDFndnd0.870.370.23nd2.95.41.3nd2.80.581.4nd
1,2,3,4,7,8-HxCDF1.81.81.30.780.83nd4.15.82.2nd3.81.23.81.0
1,2,3,6,7,8-HxCDF1.71.71.40.520.39nd3.65.31.9nd2.70.662.80.51
2,3,4,6,7,8-HxCDF1.71.81.30.610.50nd3.67.82.1nd4.40.973.1nd
1,2,3,7,8,9-HxCDFndnd0.35ndndnd0.761.90.37ndndnd0.71nd
1,2,3,4,6,7,8-HpCDF7.99.45.83.32.31.317.831.39.08.414.04.717.04.7
1,2,3,4,7,8,9-HpCDF0.781.10.920.570.36nd2.03.01.6nd0.920.472.3nd
OCDF22.018.69.29.15.12.960.531.231.244.624.311.853.417.6
ƩPCDFs35.535.322.315.310.54.210196.351.653.056.021.489.323.9
2,3,7,8-TCDDndndndndndndndndndndndndndnd
1,2,3,7,8-PeCDDndndndndndndndndndndndndndnd
1,2,3,4,7,8-HxCDDndndndndndnd0.471.1ndndndnd0.33nd
1,2,3,6,7,8-HxCDDndnd0.30ndndnd1.22.70.41ndndnd0.87nd
1,2,3,7,8,9-HxCDDndnd0.24ndndnd0.771.40.35ndndnd0.70nd
1,2,3,4,6,7,8-HpCDD3.86.32.81.51.21.07.720.44.010.612.63.412.03.1
OCDD22.260.817.67.99.84.245.849.022.213211427.111639.4
ƩPCDDs26.067.120.99.311.05.256.074.626.914212730.512942.5
ƩPCDD/Fs61.510243.224.621.59.415717178.519518351.921966.4
ƩPCDDs/ƩPCDFs0.731.900.940.611.051.240.550.770.522.682.271.431.441.78
WHO-TEQ (1998)0.650.801.10.430.390.0243.76.21.70.213.00.762.70.24
WHO-TEQ (2005)0.660.820.940.360.340.0253.15.11.50.242.40.652.40.25
LocationL15L16L17L18L19L20L21L22L23L24L25L26L27
2,3,7,8-TCDFnd1.2ndnd0.790.54nd0.26ndndnd1.44.5
1,2,3,7,8-PeCDFndndndnd0.45ndndndndndndnd1.2
2,3,4,7,8-PeCDFndndndnd0.43ndnd0.27ndndndndnd
1,2,3,4,7,8-HxCDFnd1.7ndnd0.950.95nd0.32nd0.492.61.7nd
1,2,3,6,7,8-HxCDFnd1.6ndnd0.651.0nd0.36nd0.51nd2.7nd
2,3,4,6,7,8-HxCDFnd1.9ndnd0.641.3nd0.30ndndnd2.1nd
1,2,3,7,8,9-HxCDFndndndnd0.17ndndndndndndndnd
1,2,3,4,6,7,8-HpCDF8.09.2nd4.63.822.70.791.6nd2.26.711.12.6
1,2,3,4,7,8,9-HpCDFnd0.91ndnd0.541.0ndndnd1.1nd1.2nd
OCDF31.834.5nd8.211.9136nd3.81.37.21235.416.1
ƩPCDFs39.851.1nd12.820.41640.796.91.311.421.255.524.4
2,3,7,8-TCDDndndndndndndndndndndndndnd
1,2,3,7,8-PeCDDndndndndndndndndndndndndnd
1,2,3,4,7,8-HxCDDndndndndnd1.0ndndndndndndnd
1,2,3,6,7,8-HxCDDndndndnd0.244.8ndndndndndndnd
1,2,3,7,8,9-HxCDDndndndnd0.141.2ndndndndndndnd
1,2,3,4,6,7,8-HpCDD12.76.8ndnd2.1181nd1.2nd2.35.35.63.5
OCDD44.970.67.19.113.826683.010.12.213.246.041.723.5
ƩPCDDs57.777.57.19.116.228563.011.32.215.551.247.227.0
ƩPCDD/Fs97.51297.121.936.630193.818.23.526.972.510351.4
ƩPCDDs/ƩPCDFs1.451.52–0.710.7917.413.801.641.691.362.420.851.11
WHO-TEQ (1998)0.220.830.00070.0470.663.400.00810.290.00040.160.380.970.57
WHO-TEQ (2005)0.230.850.00210.0510.574.00.00880.240.00110.160.390.990.55
Note: WHO-TEQ, World Health Organization toxic equivalent quantity, TEQ = ∑ i = 1 n ( C i × TEF i )   (TEF: toxic equivalency factors; C: the concentration of the individual compound); nd, not detected; –, not available.
Table 2. Concentrations (pg g−1 dw) of PCBs in the surface sediments from LSR.
Table 2. Concentrations (pg g−1 dw) of PCBs in the surface sediments from LSR.
LocationL01L02L03L04L05L06L07L08L09L10L11L12L13L14
PCB-7719.536.412.28.110.04.242.318.824.034.327.112.347.012.6
PCB-811.73.31.40.870.91nd2.01.71.72.12.6nd2.50.77
PCB-1261.33.71.80.980.941.89.75.24.612.58.43.012.56.2
PCB-169ndnd0.65ndndnd1.91.50.943.32.31.11.81.6
PCB-10521.948.914.112.214.8nd69.09.13039.738.415.089.022.3
PCB-1142.66.92.81.42.10.876.92.24.93.24.32.17.12.9
PCB-11838.410438.321.232.33.714724.785.783.793.535.920053.4
PCB-1232.53.21.21.11.62.913.06.08.39.212.23.821.36.4
PCB-15610.426.47.45.46.21.125.66.812.29.813.05.020.412.4
PCB-1572.56.01.70.941.21.813.54.06.320.69.84.013.513.9
PCB-1673.45.53.01.40.931.819.25.28.828.312.36.821.419.3
PCB-1891.711.91.40.680.870.435.53.12.84.54.233.867.93.2
Ʃdl-PCBs1062568654.371.918.635688.3190251228122505155
PCB-28217121115477.137525.142972.751619540215137233.4
PCB-5227.912011.39.627.1nd12412.071.061.668.721.312011.3
PCB-10132.078.123.717.217.22.818818.094.910695.342.015066.8
PCB-13877.310246.538.840.39.320939.411114914051.8213160
PCB-15361.512367.745043.79.225848.312724014465.8281190
PCB-18073.411147.026.325.63.013439.176.215699.537.6147162
ƩIndicator PCBs489174535061952949.413422309969089503701283624
PCB-322.584.67.22.28.8nd55.028.740.646.541.232.264.8107
PCB-1582.613838.527.847.524.111345.676.858.484.342.010937.1
PCB-2026.211.23.51.21.52.625.69.216.546.021.78.527.412.0
PCB-2051.6nd1.2nd1.2nd2.82.42.55.43.51.43.84.0
PCB-20847.340.824.88.57.130.824092.415044818898.3293232
PCB-20915021687.012620.4193183549916602563107862318681340
ƩPCBs90524925988396873193969996313243262595129741542511
WHO-TEQ (1998)0.150.410.200.110.100.191.00.550.501.30.900.321.30.66
WHO-TEQ (2005)0.140.380.200.100.100.181.00.570.491.40.920.331.30.67
Total WHO-TEQ (1998)0.801.211.310.540.490.214.746.762.221.523.891.094.000.89
Total WHO-TEQ (2005)0.791.201.140.460.430.214.145.671.971.603.370.993.700.92
LocationL15L16L17L18L19L20L21L22L23L24L25L26L27
PCB-771.627.311.03.220.511.014.64.217.123.114.118.993.6
PCB-81nd2.11.2nd3.70.731.4nd1.31.61.12.056.4
PCB-1261.25.71.8nd4.42.33.11.91.56.11.34.512.8
PCB-169nd1.8ndnd2.10.790.860.310.461.2nd1.81.3
PCB-1057.146.420.637.876.57.422.41.516.040.616.010.688.9
PCB-1141.34.83.04.18.81.02.90.562.24.02.12.397.5
PCB-11836.495.770.316421322.171.04.833.810229.524.2226
PCB-1233.511.05.410.323.12.19.95.12.014.22.34.125.4
PCB-1562.513.97.311.816.53.911.11.18.714.58.87.7120
PCB-1571.28.52.92.07.52.75.82.71.710.81.84.715.6
PCB-1671.411.24.35.813.23.78.32.02.714.22.65.242.5
PCB-1890.562.51.31.63.10.672.00.531.43.11.43.534.0
Ʃdl-PCBs56.823112924139258.415324.788.92358189.5814
PCB-2836.936820914833012716227.940730137772.2872
PCB-523.314233.947.692.815.037.0nd61.663.157.112.383.2
PCB-10137.412460.819227113.755.47.430.615023.020.9260
PCB-13843.613591.424429333.590.110.083.216778.545.3610
PCB-15379.315813239449939.913014.089.022275.549.6700
PCB-18025.497.370.014218423.671.73.866.912458.736.5619
ƩIndicator PCBs22610245971168167025354663.173810276702373144
PCB-34.833.314.73.551.78.436.6ndndndnd12.91169
PCB-1511.781.833.417.964.336.444.224.574.964.872.448.2506
PCB-2022.819.925.31.522.46.711.62.72.426.92.69.49.5
PCB-2050.842.72.01.36.01.41.60.480.972.91.22.75.5
PCB-20821.417749.29.516873.710433.310.32549.995.818.3
PCB-209115126929233.49536277292112731325246522282
ƩPCBs43928391143147533281065162736011892936108310175949
WHO-TEQ (1998)0.120.620.190.0310.510.240.340.200.160.650.140.481.5
WHO-TEQ (2005)0.120.630.180.00740.510.250.350.200.160.650.130.511.4
Total WHO-TEQ (1998)0.341.450.200.0781.173.640.350.490.160.810.521.452.03
Total WHO-TEQ (2005)0.361.480.180.0581.094.210.350.440.160.810.531.491.92
Note: dl-PCBs, dioxin-like PCBs; total WHO-TEQ, sum of PCDD/Fs and PCBs; nd, not detected.
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Li, H.; Wang, P.; Ju, Y.; Li, W.; Yang, R.; Li, G.; Ren, W.; Li, J.; Zhang, Q. Occurrence and Source Identification of Polychlorinated Dibenzo-p-dioxins and Dibenzofurans and Polychlorinated Biphenyls in Surface Sediments from Liangshui River in Beijing, China. Int. J. Environ. Res. Public Health 2022, 19, 16465. https://doi.org/10.3390/ijerph192416465

AMA Style

Li H, Wang P, Ju Y, Li W, Yang R, Li G, Ren W, Li J, Zhang Q. Occurrence and Source Identification of Polychlorinated Dibenzo-p-dioxins and Dibenzofurans and Polychlorinated Biphenyls in Surface Sediments from Liangshui River in Beijing, China. International Journal of Environmental Research and Public Health. 2022; 19(24):16465. https://doi.org/10.3390/ijerph192416465

Chicago/Turabian Style

Li, Honghua, Pu Wang, Yongming Ju, Wenjuan Li, Ruiqiang Yang, Gang Li, Wenqiang Ren, Jie Li, and Qinghua Zhang. 2022. "Occurrence and Source Identification of Polychlorinated Dibenzo-p-dioxins and Dibenzofurans and Polychlorinated Biphenyls in Surface Sediments from Liangshui River in Beijing, China" International Journal of Environmental Research and Public Health 19, no. 24: 16465. https://doi.org/10.3390/ijerph192416465

APA Style

Li, H., Wang, P., Ju, Y., Li, W., Yang, R., Li, G., Ren, W., Li, J., & Zhang, Q. (2022). Occurrence and Source Identification of Polychlorinated Dibenzo-p-dioxins and Dibenzofurans and Polychlorinated Biphenyls in Surface Sediments from Liangshui River in Beijing, China. International Journal of Environmental Research and Public Health, 19(24), 16465. https://doi.org/10.3390/ijerph192416465

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