长江下游支流水体中多环芳烃的分布及生态风险评估

长江下游地区是我国一个典型的化学工业园区聚集地,化工园区企业生产过程中产生和排放的多环芳烃通过大气沉降、地表径流等方式进入支流水体,并最终汇入长江.本研究选择了典型的支流水体,开展了多环芳烃的分布特征、源解析和生态风险评估研究.结果表明多环芳烃单体以低环为主,总浓度为37.27～285.88 ng·L^-1,平均值为78.31 ng·L^-1.PAHs单体浓度范围0～61.35 ng·L^-1,检出率最低单体为苯并[k]荧蒽和苯并[a]芘,其检出率均为75%.苯并[a]芘是毒性当量因子最大的PAHs,其浓度范围为0～11.08 ng·L^-1.根据我国《生活饮用水水源水质标准》(CJ 3020-1993)规定,饮用水中苯并[a]芘的限值为10 ng·L^-1,其中研究区域内无锡市的一个水样(S12)中浓度超出了标准限值,长江下游支流水体的PAHs浓度总体处于低至中等的污染水平.根据比值法和主成分分析的源解析结果,水体中多环芳烃主要受化工排放、汽车尾气的影响,还有部分来自燃煤.生态风险评估...     

Influence of aeration intensity on the performance of A/O-type sequencing batch MBR system treating azo dye wastewater

Among the numerous parameters affecting the membrane bioreactor (MBR) performance, the aeration intensity is one of the most important factors. In the present investigation, an anoxic/aerobic-type (A/O-type) sequencing batch MBR system, added anoxic process as a pretreatment to improve the biodegradability of azo dye wastewater, was investigated under different aeration intensities and the impact of the aeration intensity on effluent quantity, sludge properties, extracellular polymeric substances (EPS) amount generated as well as the change of permeation flux were examined. Neither lower nor higher aeration intensities could improve A/O-type sequencing batch MBR performances. The results showed 0.15 m³·h⁻¹ aeration intensity was promising for treatment of azo dye wastewater under the conditions examined. Under this aeration intensity, chemical oxygen demand (COD), ammonium nitrogen and color removal as well as membrane flux amounted to 97.8%, 96.5%, 98.7% and 6.21 L·m⁻²·h⁻¹, respectively. The effluent quality, with 25.0 mg·L⁻¹COD, 0.84 mg·L⁻¹ ammonium nitrogen and 8 chroma, could directly meet the reuse standard in China. In the meantime, the sludge relative hydrophobicity, the bound EPS, soluble EPS and EPS amounts contained in the membrane fouling layer were 70.3%, 52.0 mg·g⁻¹VSS, 38.8 mg·g⁻¹VSS and 90.8 mg·g⁻¹VSS, respectively, which showed close relationships to both pollutant removals and membrane flux.     

Uptake and accumulation of phenanthrene and pyrene in spiked soils by Ryegrass(Lolium perenne L.)

Phytoremediation has long been recognized as a cost-effective method for the removal of polycyclic aromatic hydrocarbons （PAHs） from soil. A study was conducted to investigate the uptake and accumulation of PAHs in root and shoot of Lolium perenne L. Pot experiments were conducted with series of concentrations of 3.31-378.37 mg/kg for phenanthrene and those of 4.22-365.38 mg/kg for pyrene in a greenhouse. The results showed that both ryegrass roots and shoots did take up PAHs from spiked soils, and generally increased with increasing concentrations of PAH in soil. Bioconcentration factors（BCFs） of phenanthrene by shoots and roots were 0.24- 4.25 and 0.17-2.12 for the same treatment. BCFs of pyrene by shoots were 0.20-1.5, except for 4.06 in 4.32 mg/kg treatment, much lower than BCFs of pyrene by roots （0.58-2.28）. BCFs of phenanthrene and pyrene tended to decrease with increasing concentrations of phenanthrene and pyrene in soil. Direct uptake and accumulation of these compounds by Lolium perenne L. was very low compared with the other loss pathways, which meant that plant-promoted microbial biodegradation might be the main contribution to plant-enhanced removal of phenanthrene and pyrene in soil. However, the presence of Lolium perenne L. significantly enhanced the removal of phenanthrene and pyrene in spiked soil. At the end of 60 d experiment, the extractable concentrations of phenanthrene and pyrene were lower in planted soil than in non-planted soil, about 83.24%-91.98% of phenanthrene and 68.53%-84.10% of pyrene were removed from soils, respectively. The results indicated that the removal of PAHs in contaminated soils was a feasible approach by using Lolium perenne L.     

基于GIS和PMF模型的石嘴山市土壤多环芳烃空间分布及来源解析

随着城市化和工业化进程加速,城市土壤多环芳烃(PAHs)含量及污染状况受到广泛关注.以石嘴山市为例,分析8个城市功能区156个表层土壤(0～20 cm)样品PAHs含量的空间分布特征,运用单因子指数、内梅罗综合指数和终生癌症风险增量模型评价土壤PAHs污染状况,利用正定矩阵因子分解模型(PMF)对PAHs来源进行解析.结果表明,石嘴山市表层土壤PAHs总含量均值为489.82 ng·g^-1,除芘(Pyr)外的15种PAH单体变异系数均大于100%,属强变异;不同功能区土壤PAHs含量呈现出:交通区(1 217.61 ng·g^-1)>工业区(809.58 ng·g^-1)>公园(273.66 ng·g^-1)>文教区(268.18 ng·g^-1)>商业区(240.05 ng·g^-1)>农业区(226.81 ng·g^-1)>医疗区(211.90 ng·g^-1)>居民区(183.4...     

Impact of solids on biphasic biodegradation of phenanthrene in the presence of hydroxypropyl-β-cyclodextrin (HPCD)

The consequence of polycyclic aromatic hydrocarbons (PAHs) in the environment is of great concern. The hydrophobic properties of PAHs significantly impact phase distribution causing limited bioavailability. Enhanced biodegradation has been extensively carried out by surfactants and the redeployment effect was recognized. However, the quantitative relationship concerning the impact of solids was rarely reported. A batch of biphasic tests were carried out by introducing Mycobacterium vanbaalenii PYR-1 and hydroxypropyl-β-cyclodextrin (HPCD) into a mixture of phenanthrene solution and various glass beads (GB37-63, GB105-125, and GB350-500). The comparative results demonstrated that HPCD had little effect on microbial growth and was not degradable by bacterium. A model was proposed to describe the biodegradation process. The regression results indicated that the partition coefficient k _d (1.234, 0.726 and 0.448 L·g⁻¹) and the degradation rate k (0 mmol·L⁻¹: 0.055, 0.094, and 0.112; 20 mmol·L⁻¹: 0.126, 0.141, and 0.156; 40 mmol·L⁻¹: 0.141, 0.156 and 0.184 d⁻¹) were positively and negatively correlated with the calculated total surface area (TSA) of solids, respectively. Degradation enhanced in the presence of HPCD, and the enhancing factor f was calculated (20 mmol·L⁻¹: 15.16, 40.01, and 145.5; 40 mmol·L⁻¹: 13.29, 37.97, and 138.4), indicating that the impact of solids was significant for the enhancement of biodegradation.     

表面活性剂Burkholderia xenovorans LB400体系对低氯代PCBs的好氧强化降解

增强多氯联苯(PCBs)的水溶性是强化PCBs微生物降解的主要控制因素之一,本研究选取了PCB5(2,3-CB)和PCB31(2,4’,5-CB)作为低氯代PCBs的典型代表,以曲拉通100(TX-100)、吐温80(Tween 80)、鼠李糖脂粗提物(RL crude)3种表面活性剂和β-环糊精(HPCD)联合Burkholderia xenovorans LB400构建PCBs好氧降解体系,测试了它们对PCB5和PCB31的溶出率及微生物生长的影响.结果表明,TX-100(CMC=194 mg·L-1)、Tween 80(CMC=13.1 mg·L-1)、RL crude(CMC=50mg·L-1)浓度在1~7 CMC时和HPCD浓度在500~1500 mg·L-1时对PCB5和PCB31溶出率分别达到54.7%~100%、59.8%~100%;10.5%~40.8%、6.8%~31.6%;10.3%~19.9%、3.3%~11.6%和19.5%~34.2%、4.2%~10.7%.TX-100浓度在1~7 CMC时对B.xenovorans LB400生长的抑制率达到30.3%~45.8%,而Tween 80浓度在0.1~1 CMC时对其生长的抑制率为10.0%~15.4%;RL crude本身能作为底物促进LB400的生长,而HPCD对其生长无明显影响.B.xenovorans LB400对PCB31(5 mg·L-1)的降解效率在添加表面活性剂后有不同程度的提高:TX-100,23.7%~65.5%;Tween80,14.6%~44.3%;RL crude,9.6%~27.2%;HPCD,15.3%~20.7%;而表面活性剂对PCB5(10 mg·L-1)的降解效率则无明显影响.表面活性剂主要通过增大溶液中PCBs-表面活性剂的胶束浓度来提高LB400对PCBs的降解效率,在水溶液培养体系中当设置TX-100和Tween 80浓度分别在1和7 CMC时,PCB31的降解效率达到100%和81.7%,而此时B.xenovorans LB400生长的抑制率为30.3%和5.4%.     

降雨期间岩溶地下河溶解态多环芳烃变化特征及来源解析

2014年6月降雨期间在重庆南山老龙洞地下河出口处进行连续采样监测,利用GC-MS定量分析地下河溶解态中16种优控多环芳烃(PAHs)的含量,研究了降雨期间地下河溶解态PAHs变化特征及来源.结果表明,地下河溶解态PAHs对降雨反应迅速,ΣPAHs出现4个峰值,有2个出现在流量上升阶段,另外两个分别出现在流量最大值处和流量下降阶段.ΣPAHs范围为101~3 624 ng·L-1,平均值578 ng·L-1,7种致癌性PAHs变化较大,含量变化为ND~336 ng·L-1,平均值31.1 ng·L-1,PAHs的组成以低环(2、3环)为主,占水体ΣPAHs的86.17%;降雨对ΣPAHs影响较大,主要表现为雨水对大气污染物的清除及地表径流对地表污染物的冲刷.降雨期间水体中PAHs主要来源于石油类产品、煤炭等化石燃料的不完全燃烧、天然成岩过程,降雨期间老龙洞地下河水体中PAHs污染大部分为中等到重污染水平.     

岩溶地下河流域水中多环芳烃污染特征及生态风险评价

利用气相色谱-质谱联用仪(GC/MS)测定了老龙洞地下河流域水中16种优控多环芳烃(polycyclic aromatic hydrocarbons,PAHs)含量,研究了流域内PAHs组成、污染水平,并对其进行了生态风险评价.结果表明,老龙洞地下河水中ΣPAHs含量变化范围为81.5~8 019 ng·L-1,表层岩溶泉ΣPAHs含量为288.7~15200 ng·L-1,地表水ΣPAHs含量为128.4~2 442 ng·L-1;受黄桷垭镇污水的影响,地下河水相对于地下水补给来源的落水洞和地表水含量较高.流域内水中PAHs均以低环为主,尤其是3环占主导.受污水、季节的影响及PAHs物理化学性质的差异,水中PAHs月变化呈现不同的变化特征.地表水、落水洞污水排放对地下河PAHs来源起重要作用.流域内水中PAHs以低环污染为特征,所有检测到的PAH化合物处于中等污染和重污染风险.     

富里酸在水体多环芳烃光化学降解中的作用

以氙灯作为模拟光源,对水相中5种不同来源、不同浓度富里酸(FA)在5种PAHs光解中的作用进行了比较分析;并通过活性氧的捕获探讨了FA在PAHs光解中的作用.结果表明,不同来源FA的结构及其对PAHs光解的影响具有较高的一致性.在低浓度(1.25 mg·L-1)体系中FA对二氢苊、芴、菲的光解表现出不同程度的抑制作用,而对荧蒽和芘的光解则表现出一定的促进作用;随着体系中FA浓度的升高,其对PAHs的光解总体上呈抑制趋势.FA的存在一方面促进了单线态氧和羟基自由基的生成,强化了PAHs的活性氧光解进程;另一方面FA也可以参与PAHs分子的能量竞争.     

鼠李糖脂对假单胞菌GP3A降解芘的性能及细胞表面性质的影响

在实验室可控条件下,研究了生物表面活性剂鼠李糖脂对假单胞菌GP3A生长情况、降解芘(初始浓度为15 mg·L-1)性能以及降解过程中菌体表面性质(细胞表面疏水性、菌体Zeta电位)的影响.结果表明,鼠李糖脂明显促进了GP3A的生长,当鼠李糖脂浓度为200 mg·L-1和500 mg·L-1时,72 h时菌体的生长量比未...     

Adsorption of fluoride on clay minerals and their mechanisms using X-ray photoelectron spectroscopy

This research investigates the adsorption mechanisms of fluoride (F) on four clay minerals (kaolinite, montmorillonite, chlorite, and illite) under different F⁻ concentrations and reaction times by probing their fluoride superficial layer binding energies and element compositions using X-ray photoelectron spectroscopy (XPS). At high F⁻ concentrations (C ₀ = 5–1000 mg·L⁻¹), the amount of F⁻ adsorbed (Q _F), amount of hydroxide released by clay minerals, solution F⁻ concentration, and the pH increase with increasing C ₀. The increases are remarkable at C ₀>50 mg·L⁻¹. The QF increases significantly by continuously modifying the pH level. At C ₀<5–100 mg·L⁻¹, clay minerals adsorb H⁺ to protonate aluminum-bound surface-active hydroxyl sites in the superficial layers and induce F⁻ binding. As the C ₀ increases, F⁻, along with other cations, is adsorbed to form a quasi-cryolite structure. At C ₀>100 mg·L⁻¹, new minerals precipitate and the product depends on the critical Al³⁺ concentration. At [Al³⁺]>10^−11.94 mol·L⁻¹, cryolite forms, while at [Al³⁺]<10^−11.94 mol·L⁻¹, AlF₃ is formed. At low C ₀ (0.3–1.5 mg·L⁻¹), proton transfer occurs, and the F⁻ adsorption capabilities of the clay minerals increase with time.     

青岛近岸表层海水中PAHs的分布特征及物源初步解析

采用固相萃取-高效液相色谱-荧光检测法分析了青岛近岸海水中15种PAHs的质量浓度.结果表明,海水中PAHs的总量变化范围为8.23～272.02 ng.L-1,河口区质量浓度最高,远离城区的清洁区质量浓度最低.就组成特征而言,2～3环PAHs是其主要组分,占总量的质量分数为52.2%～93.8%,4～6环PAHs占总量的质量分数为6.2%～47.8%.表层海水中PAHs总浓度和DOC浓度之间有较好的相关性,相关系数为0.944 3.青岛湾表层海水中PAHs浓度组成相对稳定.利用Fl/(Fl+Py)和An/(An+Ph)分析表层海水中PAHs的来源,结果表明除清洁区表层海水中PAHs主要来源于煤和木材燃烧外,青岛近岸海水中的PAHs主要来源于石油制品和石油燃烧.     

Migration of manganese and iron during the adsorption-regeneration cycles for arsenic removal

Fe-Mn binary oxide incorporated into porous diatomite (FMBO-diatomite) was prepared in situ and regenerated in a fixed-bed column for arsenite [As(III)] and arsenate [As(V)] removal. Four consecutive adsorption cycles were operated under the following conditions: Initial arsenic concentration of 0.1 mg·L⁻¹, empty bed contact time of 5 min, and pH 7.0. About 3000, 3300, 3800, and 4500 bed volumes of eligible effluent (arsenic concentration ⩽ 0.01 mg·L⁻¹) were obtained in four As (III) adsorption cycles; while about 2000, 2300, 2500, and 3100 bed volumes of eligible effluent were obtained in four As(V) adsorption cycles. The dissection results of FMBO-diatomite fixed-bed exhibited that small amounts of manganese and iron were transferred from the top of the fixed-bed to the bottom of the fixed-bed during As(III) removal process. Compared to the extremely low concentration of iron (<0.01 mg·L⁻¹), the fluctuation concentration of Mn²⁺ in effluent of the As(III) removal column was in a range of 0.01–0.08 mg·L⁻¹. The release of manganese suggested that manganese oxides played an important role in As(III) oxidation. Determined with the US EPA toxicity characteristic leaching procedure (TCLP), the leaching risk of As(III) on exhausted FMBO-diatomite was lower than that of As(V).     

河北邯郸钢铁冶炼区周边麦田土和小麦籽粒的多环芳烃含量及其组分谱特征

在大型邯郸钢铁公司周边不同样区的麦田成对采集表层土壤和成熟的小麦籽粒样品,检测US EPA优控的16种母体多环芳烃(polycyclic aromatic hydrocarbons,PAHs)的浓度和组分谱,确定当地麦田表土PAHs的空间分布特征、与总有机碳TOC分数的相关性.由此,初步开展PAHs源解析,并简单探讨小麦籽粒PAHs与表土PAHs的关联性.结果表明,麦田表土总PAHs平均中位数含量为398.9 ng·g-1(范围123.4~1 626.4 ng·g-1),根据丹麦的土壤质量标准,所有表土样品中PAHs总含量超过限值占18%,而苯并[a]芘含量超过限值的样品占总数的10%.表土PAHs组分谱以中、高环组分为主体.利用同分异构体特征比值进行初步源解析,显示煤与生物质燃烧和交通燃油(尾气)是当地PAHs主要混合排放源.各样区麦田表土TOC分数与PAHs总含量、与不同环数组分含量都呈现类似的显著正相关.邯郸钢铁公司周边麦田小麦籽粒的总PAHs平均中位数含量为27.0 ng·g-1(范围19.0~34.0 ng·g-1),PAHs含量较低且未超过欧盟与国内的相关食品卫生标准.小麦籽粒中优势低环组分占总体的84%,其组分谱分布与麦田表土有所不同,显示小麦籽粒的PAHs除去根部吸收、传输外,还存在大气干湿沉降通过叶表(气孔)进入小麦体内等其它输入途径.     

溴化十四烷基吡啶对黑麦草吸收土壤中菲的影响

研究了澳化十四烷基吡啶(Myrlstylpyridinium bromide,MPB)对黑麦草吸收土壤中菲的影响.结果表明.由于MPB能显著增强吸附固定土壤中的菲,限制其从土壤固相向土壤水相迁移,从而可降低土壤水相中菲浓度,导致黑麦草吸收积累菲的程度降低.在两种不同菲污染水平的土壤中,MPB添加浓度为0～600 mg·kg-1时,黑麦草根系和茎叶中菲含量均随MPB添加量的增加而降低.当MPB添加浓度为600 mg·kg-1时.黑麦草根系菲含量分别为0.12 mg·kg-1和0.35 mg·kg-1,分别比对照低了77.0%和53.3%;茎叶中菲含量为0.12 mg·kg-1和0.26 mg·kg-1,分别比对照低了64.7%和50.9%.     

多菌灵在农田土壤中的降解及其影响因子研究

采用实验室模拟方法,研究了微生物、含水量和Cd对土壤中多菌灵降解动态的影响.结果表明,土壤中多菌灵(5.0mg·kg-1和10.0 mg·kg-1)的降解半衰期在灭菌条件下为非灭菌条件下的12.6～13.8倍;复合降解菌群(枯草杆菌、副球菌、黄杆菌和假单胞菌)的加入显著缩短了土壤中多菌灵的降解半衰期(32.1%～37.1%);当土壤含水量由40%田间持水量提高到60%或80%田间持水量,多菌灵降解半衰期缩短46.2%或74.0%;低浓度Cd(5.0 mg·kg-1)的加入显著缩短了土壤中多菌灵的降解半衰期(32.1%～52.4%),而高浓度的Cd(50 mg·kg-1)延长多菌灵的降解半衰期(92.6%～103.0%);对添加复合降解菌群的土壤,低浓度Cd(5.0 mg·kg-1)的加入同样显著缩短了土壤中多菌灵的降解半衰期(34.0%～34.4%),高浓度的Cd(50 mg·kg-1)延长多菌灵的降解半衰期(74.4%～109.4%).研究表明,土著微生物在多菌灵降解过程中发挥重要的作用,多菌灵降解菌群、较高的土壤湿度和低浓度的Cd也促进了土壤中多菌灵的降解.     

洛阳市秋冬季PM2.5中多环芳烃的污染特征、来源解析及健康风险评价

本研究于2018年10月4日至2019年1月30日在洛阳市高新和林校2个采样点位同步连续采集秋冬季PM_2.5样品,使用气相色谱-质谱联用仪（GC-MS）对PM_2.5中优先控制的16种多环芳烃（polycyclic aromatic hydrocarbons,PAHs）进行了分析测定.对优良天和污染天PM_2.5中16种PAHs的质量浓度和组成分布特征进行了研究,利用特征比值法和主成分分析法对其主要来源进行了定性解析,并使用苯并［a］芘（BaP）毒性当量法和增量终生致癌风险模型评估了对人体的健康风险.结果表明在采样期内,高新和林校两个采样点的PM_2.5中16种PAHs质量浓度变化范围分别为24.33~90.26 ng·m^-3和23.81~76.99 ng·m^-3.随着PM_2.5污染程度的加重,PAHs浓度明显升高（污染天为优良天的1.3倍）,不同环数PAHs贡献顺序均为：4环（43%~48%） > 5~6环（32%~35%） > 2~3环（20%~22%）.大气中PAHs主要来自于燃烧源,包括燃煤、生物质燃烧以及机动车排放等,其中燃煤对PAHs污染贡献最大（优良天：49.28%~56.38%,污染天：49.44%~60.60%）.BaP毒性当量浓度表明,污染天存在更高的人体健康风险;增量终生致癌风险结果表明,污染天致癌风险高于优良天,成人呼吸暴露风险高于儿童,在研究区域内不同污染水平下健康风险属于可接受水平（<1×10^-6）.     

表面活性剂Tween80及DOM对土壤中菲、芘解吸的影响

采用室内序批试验研究了水溶性有机物（DOM）及表面活性剂Tween80对污染土壤中菲、芘解吸行为的影响.结果表明,DOM能够增加土壤中菲、芘的解吸率,且猪粪堆肥的DOM作用效果较好;随着体系中Tween80浓度的增加,土壤中菲、芘的解吸率也明显地增加,当Tween80浓度为150 mg·L^-1时,菲、芘的解吸率分别是对照的1.7倍（菲）和6.2倍（芘）;DOM与Tween80联合作用时受Tween80浓度的影响,低浓度时联合作用效果不明显,当Tween80为150 mg·L^-1时,菲、芘的解吸率显著增加且大于两者单独作用的结果之和.试验结果还表明,同等条件下高相对分子质量DOM组分（>25000）对土壤中菲、芘的解吸作用大于低相对分子质量DOM组分（<1 000）.     

废旧汽车拆解区土壤中多环芳烃垂向分布特性

研究分析了废旧汽车拆解区土壤剖面的美国EPA优控的16种多环芳烃的纵向分布.结果表明,表层土壤中16种多环芳烃总含量达到了17 323 ng·g-1,其中芘(Pyr)、苯并[a]蒽(BaA)、芴(Flu)含量最高,分别达到11 820、1 234和1 083 ng·g-1.汽车拆解区表面和土壤深度为10 cm的土壤均达到了重度污染级别;深度在50~350 cm之间的土壤为轻度至中度污染,当土壤深度超过400 cm,土壤基本未受到污染.但是,7种致癌性PAHs(Chr、BaA、BbF、BkF、BaP、DahA、IcdP)总量在土壤深度达到850 cm时仍有34.15 ng·g-1.随着土壤深度的增大,多环芳烃含量急剧降低,当土壤深度超过300 cm,三环的菲(Phe)、荧蒽(Fl)和二氢苊(Ace)成为优势组分.土壤剖面菲(Phe)/蒽(Ant)比值和荧蒽(Fla)/芘(Pyr)、Fluo/Pyr、BaA/(BaA+Chr)等参数表明,土壤表面的多环芳烃主要来源于石油污染.     

黄淮平原农田土壤中多环芳烃的分布、风险及来源

对227个黄淮平原农田表层土壤样品中16种多环芳烃(PAHs)含量进行了调查,并对其致癌风险和来源等进行了分析.结果表明,有15种PAHs被普遍检出,各单体检出率在23.3%~100%之间(苊烯未检出).土壤中PAHs总量(∑PAHs15)为33.44~1246μg/kg,平均值为152.4±166.2μg/kg,且以4环及4环以上PAHs为主,其中16.7%的样品中PAHs含量达到了污染水平(>200μg/kg),与国内外其他地区相比,黄淮平原农田土壤中PAHs含量处于相对较低水平.黄淮平原农田土壤7种致癌性PAHs毒性当量浓度(TEQBap)占总毒性当量浓度的98.27%,其中苯并(a)芘(Bap)潜在致癌风险最大.同分异构体比值法和主成分分析结果表明黄淮平原农田土壤中PAHs的主要来源是汽油、柴油高温燃烧、以及煤和秸秆燃烧.相关性分析表明有机质含量与∑PAHs15及PAHs单体含量具有显著相关性,表明有机质是影响PAHs在土壤中含量、空间分布及归趋的一个重要因素.