青海湖流域沙柳河下游沉积物中重金属污染风险评价

对青海湖流域沙柳河下游沉积物中As、Cd、Pb、V、Cr、Mn、Ni、Cu和Zn 9种重金属元素的含量进行了分析测定,采用污染系数、富集系数、地累积指数和潜在生态危害指数评估了其污染程度。结果表明：无论在横向还是纵向上,重金属元素含量均低于青海湖土壤背景值;重金属元素污染系数和富集系数均小于2,且大多数样品的值低于1（高于1者多为Cd、Cu、Ni、Zn,且具高值）;地累积指数均为负值（除QB-19中Cd和Cu分别为0.10和0.02）;潜在生态风险因子大多低于30,潜在生态危害指数大多低于70。沙柳河下游沉积物尚未出现重金属污染,具有低的生态风险,但该流域重金属的人为排放确实存在（主要是Cd、Cu、Ni、Zn等）,而且在近代排放更为显著。     

沅江下游入湖段河床沉积物重金属污染特征

对沅江入湖沉积物进行钻探取样,利用等离子质谱仪（ICP-MS）对沉积物重金属进行分析。结果表明：重金属Ba、Sc、V、Th、U、Cu、Co、Ni、Cr等在沉积物中含量变化相对稳定,分布相对均匀;而Mn、Zn、Pb、Mo、Cd、Tl、Bi等重金属的含量变化大,分布不均匀。重金属含量柱状剖面变化特征及富集系数（EF值）的计算结果显示：沉积物中Cd达显著富集,而Sc、V、Mn、Pb、Bi等为中等富集程度。沉积物中存在3个重金属富集层,即中下部Pb、Tl、Bi富集层;中上部Pb、Cr、Ni、Cu富集层;浅表部V、Cr、Mn、Ni、Cu、Zn、Pb、Cd、Tl、Bi等多种重金属富集层。地累积指数（I_geo）和综合富集指数（EI）评价结果显示：沅江入湖沉积物重金属污染程度自河床深部向浅部,污染程度趋于增强,污染元素组合趋于由Pb-Bi的单一元素组合向由V-Cr-Mn-Ni-Cu-Zn-Pb-Cd-Bi组成的复合元素组合变化。且自上游向下游,沉积物重金属污染程度趋于降低。这种重金属污染空间变化特征与区域人为活动有关,值得进一步研究。     

长江北支口门圆陀角附近潮滩沉积物重金属来源及污染评价

基于圆陀角附近潮滩YY孔岩芯重金属(Co、Cr、Cu、Mn、Ni、V、Zn)富集系数和人为贡献率、地累积指数和潜在生态风险系数,讨论了圆陀角附近潮滩重金属来源及污染。结果表明,重金属Co、V平均含量显著高于背景值。除Cr 是自然来源外,其它6 种重金属受自然和人为来源的影响,且以自然来源为主。7 种重金属总体无污染,仅Co、Cu、V和Zn在岩芯132 cm处出现无污染至中度污染。7 种重金属潜在生态危害属轻微水平。值得关注的是,1997 年之后,重金属Co、Cr、Mn、V、Zn地累积指数和潜在生态风险系数均有增加的趋势。     

基于GIS的白银区耕地耕层土壤重金属空间分异及污染评价

为评估白银区耕地耕层土壤(0~20 cm)的重金属污染,应用X射线荧光光谱仪(XRF-7000)对1 070个土壤样品中Cu、Zn、Ni、Pb、As、Cr、V、Co 8种重金属含量进行了测定,参照最新土壤环境质量标准(GB15618-2008),使用单因子和内梅罗法并结合GIS手段分析耕层土壤重金属空间分布及污染程度等。结果表明:8种重金属平均污染程度由大到小为As、V、Pb、Zn、Cu、Co、Ni、Cr,平均变异程度顺序为Pb、Cu、Zn、Co、As、Cr、V、Ni,空间相关性大小顺序为Zn、Cu、As、Pb、Ni、Cr、V、Co;Cu、Pb的最佳拟合模型为Pentaspherical模型,Zn、V为Gaussion模型,Ni、As为Exponential模型,Cr、Co为Circular模型;8种重金属中Cu、Zn、Pb、As表现出不同程度的污染,评价结果显示安全级、警戒级、轻污染、中污染和重污染分别占全区耕地面积的69.56%、23.88%、2.95%、2.55%和1.06%,受污染面积达到763.4 hm2。     

沅江下游入湖段河床沉积物重金属污染特征北大核心CSCDCSSCI

对沅江入湖沉积物进行钻探取样,利用等离子质谱仪(ICP-MS)对沉积物重金属进行分析。结果表明:重金属Ba、Sc、V、Th、U、Cu、Co、Ni、Cr等在沉积物中含量变化相对稳定,分布相对均匀;而Mn、Zn、Pb、Mo、Cd、Tl、Bi等重金属的含量变化大,分布不均匀。重金属含量柱状剖面变化特征及富集系数(EF值)的计算结果显示:沉积物中Cd达显著富集,而Sc、V、Mn、Pb、Bi等为中等富集程度。沉积物中存在3个重金属富集层,即中下部Pb、Tl、Bi富集层;中上部Pb、Cr、Ni、Cu富集层;浅表部V、Cr、Mn、Ni、Cu、Zn、Pb、Cd、Tl、Bi等多种重金属富集层。地累积指数(Igeo)和综合富集指数(EI)评价结果显示:沅江入湖沉积物重金属污染程度自河床深部向浅部,污染程度趋于增强,污染元素组合趋于由Pb-Bi的单一元素组合向由V-Cr-Mn-Ni-Cu-ZnPb-Cd-Bi组成的复合元素组合变化。且自上游向下游,沉积物重金属污染程度趋于降低。这种重金属污染空间变化特征与区域人为活动有关,值得进一步研究。     

博斯腾湖流域绿洲农田土壤重金属污染及潜在生态风险评价

新疆博斯腾湖流域绿洲采集195个农田土壤样品,测定其中As、Cd、Cr、Cu、Mn、Ni、Pb和Zn等8种重金属元素的含量,基于地统计法分析农田土壤重金属空间分布规律,采用污染负荷指数（PLI）和潜在生态风险指数（RI）评价农田土壤重金属污染和潜在生态风险程度,并对重金属的来源进行讨论。结果表明：① 博斯腾湖流域农田土壤Cd、Cr、Cu、Ni、Pb和Zn含量平均值分别超出新疆土壤背景值的1.67倍、1.13倍、1.15倍、1.29倍、2.11倍和1.65倍。② 农田土壤中8种重金属元素空间分布基本呈现岛状分布格局,各金属元素在部分区域出现高值区,表明研究区人类活动对农田土壤环境具有负面效应。③ 农田土壤Pb呈现中度污染,Cd、Cr、Cu、Ni和Zn轻度污染,Mn轻微污染,As无污染。农田土壤重金属污染负荷指数的平均值为1.09,呈现轻度污染态势。④ 各重金属元素单项生态风险指数平均值从大到小依次为：Cd、Ni、As、Cu、Pb、Cr、Zn。综合生态风险指数平均值为18.63,处于轻微生态风险态势。从生态风险程度的区域差异来看,各县生态风险指数从大到小依次为：和硕县、博湖县、焉耆县、和静县。⑤ 农田土壤Cr、Cu、Mn、Ni与Zn主要受到土壤地球化学成因的控制,As、Cd和Pb主要受到人类活动的影响。Cd与Pb是研究区主要的污染因子,研究区农田土壤中Cd与Pb污染必须关注。     

包头市街道灰尘重金属空间分布及生态风险

采集包头市街道灰尘样品,利用X-Ray荧光光谱仪测定样品中Co、Cr、Cu、Mn、Ni、Pb、Zn和V的含量,采用ArcGIS空间分析技术研究街道灰尘重金属的空间分布规律,运用地累积指数法和潜在生态风险指数法,评价包头市街道灰尘重金属的污染程度及生态风险。结果表明:包头市街道灰尘中除Ni外,其他重金属元素的平均含量均高于其区域土壤背景值。街道灰尘中Co、Cr、Pb的含量是区域土壤背景值的4.0～10.7、1.8～5.8和1.5～8.7倍。灰尘中重金属元素含量的空间差异较大,Co和Cr的高值区主要分布在工业企业附近;Cu、Zn和Pb的高值区主要分布在交通流量较大的商业中心和家居建材城附近。灰尘中各重金属的污染水平依次为CoCrPbZnCuVMnNi。Co处于中等潜在生态风险,而其他重金属均处于低潜在生态风险。灰尘中重金属总的潜在生态风险属于中等。     

山东省广饶县土壤重金属来源、分布及生态风险

选取山东省广饶县作为研究区,采集300个表层土壤样品（0~20 cm）,测定As、Cd、Co、Cr、Cu、Hg、Mn、Ni、Pb和Zn等10种重金属含量;运用多元统计和地统计分析方法揭示广饶县土壤重金属元素的来源与空间分布特征,最后利用H?kanson潜在生态风险指数法评价重金属的潜在生态风险。结果表明：① 研究区土壤中Co和Pb的平均值低于山东省背景值,其他8种元素的平均值均超过山东省背景值;特别是Cd和Hg的平均含量分别达到山东省背景值的1.86倍和2.50倍,说明在土壤中存在明显的富集。② As、Co、Cr、Cu、Mn、Ni和Zn为自然源,受成土母质控制;Hg为人为源,主要来源于煤炭燃烧和工业排放;Cd和Pb受自然和人为因素共同控制。③ 成土母质控制着As、Cd、 Co、Cr、Cu、Mn、Ni、Pb和Zn的基本分布格局,不同土地利用类型的土壤Hg含量差别较明显,其高值区集中在城镇建设用地。④ 总体上,研究区为中等生态风险的偏高水平,其中Cd和Hg分别为中等和较高生态风险,其余8种元素处于低生态风险。     

艾比湖流域农田土壤重金属的环境风险及化学形态研究

采集土壤样品,测定8种重金属（As、Cd、Cr、Cu、Hg、Ni、Pb、Zn）的总量及各形态含量,然后采用多种方法并结合土壤背景值进行分析。结果表明：艾比湖流域农田土壤中8种重金属的含量值均未超过国家土壤质量二级标准的限值, 8种重金属可以辨识为2个主成分,重金属Cd、Hg、Pb和Zn的较高风险区主要分布在研究区的中部,重金属As、Cr、Cu和Ni的较高风险区主要分布在研究区南部靠近荒漠、山地以及研究区边缘区域,重金属As、Cr和Ni均以残渣态为主,其他形态含量较低。农田土壤中重金属的生物毒性以Cb为最大,Pb和Hg次之。     

托素湖沉积物中重金属元素分析及地球化学特征研究

首次对托素湖沉积岩芯上部沉积物的重金属元素Cr、Cd、Cu、Zn和Pb的含量进行分析测试。精确测得沉积物中Cr,Cd,Cu,Zn和Pb的平均浓度分别为32.9 mg.kg-1,2.2 mg.kg-1,19.5 mg.kg-1,188.5 mg.kg-1和32.3 mg.kg-1。与区域背景值和标准值相比,托素湖沉积物样品中Cd和Zn都偏高。研究结果表明除了Cd污染程度比较严重,托素湖当前的Cr、Cu、Zn和Pb污染程度相对较轻。各元素经Ti校正后的分析结果显示,重金属元素含量在沉积剖面的10cm处出现波动性增大的明显转折,表明托素湖沉积物中Cd、Cr、Cu、Zn和Pb主要来源于流域侵蚀的造岩矿物元素,Cd污染可能源于人类活动所致。 关键词：托素湖;重金属元素;污染程度;地球化学特征     

Heavy metal records in the sediments of Nanyihu Lake,China: influencing factors and source identification

In 2008, three short sedimentary cores were collected from Nanyihu Lake in the lower Yangtze River Basin using a gravity corer. Heavy metals, including Pb, Cu, Zn, Cr, Ni, Mn, and major elements, including Al, Fe, K, Na, Mg and Ti, were measured. Radionuclides, including ²¹⁰Pb and ¹³⁷Cs, were analyzed to date the sediments. The significant Mn enrichment in the uppermost sediments of the three cores did not influence the distribution of Pb, Cu, Zn, Cr and Ni. The Pb, Cu, Zn, Cr and Ni contents have increased over the past 30–40 years. The decline of ²⁰⁶Pb/²⁰⁷Pb ratios toward the surface indicated increasing anthropogenic Pb loading to the lake sediments. However, the heavy metal enrichment was low overall because of the high sediment accumulation rates and the low anthropogenic heavy metal flux into the Nanyihu Lake.     

Baseline determination,pollution source and ecological risk of heavy metals in surface sediments of the Amu Darya Basin,Central Asia

Central Asia (CA) is one of the most fragile regions worldwide owing to arid climate and accumulated human activities, and is a global hotspot due to gradually deteriorating ecological environment. The Amu Darya Basin (ADB), as the most economically and demographically important region in CA, is of particular concern. To determine the concentration, source and pollution status of heavy metals (HMs) in surface sediments of the ADB, 154 samples were collected and analyzed for metals across the basin. Correlation and cluster analysis, and positive matrix factorization model were implemented to understand metals’ association and apportion their possible sources. Cumulative frequency distribution and normalization methods were used to determine the geochemical baseline values (GBVs). Then, various pollution indices and ecological risk index were employed to characterize and evaluate the pollution levels and associated risks based on the GBVs. Results indicated that the mean concentrations of HMs showed the following descending order in the surface sediments of ADB: Zn > Cr > Ni > Cu > Pb > Co > Cd. The spatial distribution maps showed that Cr, Ni, and Cu had relatively high enrichment in the irrigated agricultural area; high abundances of Zn, Pb, and Cd were mainly found in the urban areas. Four source factors were identified for these metals, namely natural sources, industrial discharge, agricultural activities, and mixed source of traffic and mining activities, accounting for 33.5%, 11.4%, 34.2%, and 20.9% of the total contribution, respectively. The GBVs of Cd, Zn, Pb, Cu, Ni, Cr, and Co in the ADB were 0.27, 58.9, 14.6, 20.3, 25.8, 53.4, and 9.80 mg/kg, respectively, which were similar to the regional background values obtained from lake sediments in the bottom. In general, the assessment results revealed that surface sediments of the ADB were moderately polluted and low ecological risk by HMs.     

长江三角洲地区土壤重金属污染特征及潜在生态风险评价——以江苏太仓市为例

太仓市表层土壤Zn、Cu属强变异强度,呈对数正态分布;Cd、Ni、Hg、As、Cr和Pb属中等变异强度,呈正态分布。Cu、Hg、Zn、As显著高于当地背景值,以As累积指数和超背景值率最高;8种重金属除As自表层向下递增外,其余元素均为表层向下递减。土壤复合污染严重,土壤潜在生态风险达中等水平,黄泥土生态风险高于沙夹垅;重金属生态风险以印染厂最大,其次为电镀厂和养殖场,产生潜在生态风险为Hg、Cd,而As、Cu、Zn、Cr、Ni、Pb等多属轻微水平。     

Comparison and Analysis of Estimation Methods for Heavy Metal Pollution of Farmland Soils

Heavy metal pollution of farmland soils is a serious environmental problem. The accurate estimation of heavy metal pollution levels of farmland soils is very crucial for sustainable agriculture. Concentrations of heavy metal elements (As, Cd, Cr, Cu, Mn, Ni, Pb, and Zn) in farmland soils at 186 sampling sites in the Baghrash Lake Basin, NW China, were determined and analyzed based on the pollution index (P_i), the geo-accumulation index (I_geo), the enrichment factor (EF), the ecological risk index (ER), and the environmental risk index (I_er). The results of these five different estimation methods were compared and discussed. The obtained results indicated that the average concentrations of all the heavy metals in the farmland soils of the study area were lower than the Soil Environmental Quality of China (GB 15168-2018) levels, but the average concentrations of Cd, Cr, Ni, Pb, and Zn exceed the corresponding background values. Significant differences in estimation results existed between the five estimation methods. Based on the identified concentrations, the average P_i, I_geo, and EF values of the heavy metals in farmland soils decreased in the order of: Zn > Pb > Cd > Cr > Ni > Cu > As, whereas the average ER values decreased in the order of: Cd > As > Cu > Pb > Ni > Cr > Zn, and the average I_er values decreased in the order of: Cd > Cu > Zn > As = Pb > Cr > Ni. The pollution class values with different estimation methods were ranked as: P_i > I_geo = EF > ER = I_er. The obtained results suggest that the most appropriate estimation method and soil background values of farmlands should be used for better understanding the environmental quality of farmland soils. Overall, the EF and ER methods are recommended for assessing heavy metal pollution risks of farmland soils.