Heavy metals are released into the sediments in aquatic environment from both natural and anthropogenic sources and they are considered as worldwide issue due to their deleterious ecological risks and food chain disruption. In this study, sediments samples were collected at three major sites (Awoye, Abereke and Ayetoro) along Ondo coastal marine area using VanVeen grab sampler. The concentrations of As, Cd, Cr, Cu, Fe, Mn, Ni, Pb, V and Zn were determined by employing Atomic Absorption Spectroscopy (AAS). The combined concentrations data were subjected to Positive Matrix Factorization (PMF) receptor approach for source identification and apportionment. The probable risks that might be posed by heavy metals in the sediment were estimated by potential and integrated ecological risks indices. Among the measured heavy metals, Fe had the average concentrations of 20.38 ± 2.86, 23.56 ± 4.16 and 25.32 ± 4.83 µg/g at Abereke, Awoye and Ayetoro sites, respectively. The PMF resulted in identification of four sources of heavy metals in the sediments. The resolved sources and their percentage contributions were oil exploration (39%), industrial waste/sludge (35%), detrital process (18%) and Mn-sources (8%). Oil exploration activities and industrial wastes are the major sources that contribute heavy metals into the coastal sediments. The major pollutants that posed ecological risks to the local aquatic ecosystem are As, Pb, Cr and Cd (40 ≤ \(E_{r}^{i}\) < 80) classifying the sites as moderate risk. The integrate risks values of Awoye, Abereke and Ayetoro are 231.2, 234.0 and 236.4, respectively suggesting that the study areas had a moderate ecological risk. The study showed the suitability of PMF receptor model for source identification of heavy metals in the sediments. Also, the intensive antropogenic activities and natural sources could largely discharged heavy metals into the study area, which may increase the heavy metal contents of the sediments and further contribute to the associated ecological risk, thus affecting the local aquatic ecosystem.

重金属从自然和人为来源释放到水生环境的沉积物中，由于其有害的生态风险和食物链破坏，它们被认为是世界范围的问题。在这项研究中，使用VanVeen抓斗采样器在Ondo沿海海域的三个主要地点（Awoye，Abereke和Ayetoro）收集了沉积物样本。采用原子吸收光谱法（AAS）测定砷，镉，铬，铜，铁，锰，镍，铅，钒和锌的浓度。合并后的浓度数据经过正矩阵分解（PMF）受体方法进行来源识别和分配。通过潜在和综合的生态风险指数估算了沉积物中重金属可能构成的风险。在测得的重金属中，在Abereke，Awoye和Ayetoro站点，Fe的平均浓度分别为20.38±2.86、23.56±4.16和25.32±4.83 µg / g。PMF确定了沉积物中的四种重金属来源。解析来源及其贡献百分比是石油勘探（39％），工业废物/污泥（35％），碎屑处理（18％）和锰来源（8％）。石油勘探活动和工业废物是造成重金属进入沿海沉积物中的主要来源。对当地水生生态系统构成生态风险的主要污染物为As，Pb，Cr和Cd（40≤ 解决的来源及其贡献百分比是石油勘探（39％），工业废物/污泥（35％），碎屑处理（18％）和锰来源（8％）。石油勘探活动和工业废物是造成重金属进入沿海沉积物中的主要来源。对当地水生生态系统构成生态风险的主要污染物为As，Pb，Cr和Cd（40≤ 解析来源及其贡献百分比是石油勘探（39％），工业废物/污泥（35％），碎屑处理（18％）和锰来源（8％）。石油勘探活动和工业废物是造成重金属进入沿海沉积物中的主要来源。对当地水生生态系统构成生态风险的主要污染物为As，Pb，Cr和Cd（40≤ \（E_ {r} ^ {i} \）  <80）将网站分类为中等风险。Awoye，Abereke和Ayetoro的综合风险值分别为231.2、234.0和236.4，这表明研究区域的生态风险中等。研究表明，PMF受体模型适用于沉积物中重金属的来源鉴定。另外，密集的促昆虫活动和自然资源可能会将重金属大量排放到研究区域，这可能会增加沉积物中的重金属含量，并进一步增加相关的生态风险，从而影响当地的水生生态系统。