School of Architectural Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650504, China.
Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China.
Sci Total Environ. 2022 Apr 1;815:152837. doi: 10.1016/j.scitotenv.2021.152837. Epub 2022 Jan 4.
Urban wetland ecosystems are easily influenced by heavy metals (HMs) because of their functional properties. In this study, absolute principal component scores-multivariate linear regression (APCS-MLR) and positive matrix factorization (PMF) receptor models were applied for the source apportionment of available occurrence forms of heavy metals (AHMs) of surface sediments in a typical urban wetland of Dianchi Lake, southwest of China. The risk assessment was conducted to evaluate the potential ecological/human health risks of HMs. Results indicated that Zn, Pb, and Cr were the major pollutants affected by anthropogenic activities in sediments and their concentrations were significantly exceeding the background value. Most of the highly AHMs-polluted area was close to the river in wetland, and the concentration distribution of all AHMs were generally low in the southwest and high in the northeast. Both APCS-MLR and PMF models identified three comparable classes of potential sources, namely (1) agricultural fertilizer/insecticide, atmospheric deposition, and traffic emissions; (2) natural transitions; and (3) industrial and sewage wastes. Moreover, the comparison results implied that the PMF model was more feasible for quantifying AHMs sources in wetland sediments since it is capable to analyze one more source, namely plant maintenance and waterfowl feeding, and has higher accuracy in predicting the concentrations of AHMs. In addition, the risk assessment model revealed that all these HMs were within the acceptable ranges of ecological and carcinogenic/non-carcinogenic human health risks. Among these, ingestion was the major exposure pathway of HMs from local areas, followed by dermal exposure and oral or nasal inhalation. However, children were more easily exposed to HMs than adults by ingestion due to their hand-to-mouth behaviors. This study aims to assess the HM pollution status in a plateau urban wetland, and provides a practical case for modeling source apportionment and risk assessment of HMs in wetland sediments.
城市湿地生态系统由于其功能特性,容易受到重金属(HMs)的影响。本研究应用绝对主成分得分-多元线性回归(APCS-MLR)和正定矩阵因子分解(PMF)受体模型,对中国西南滇池典型城市湿地表层沉积物中重金属(AHMs)的赋存形态进行来源解析。采用风险评估方法,评价重金属的潜在生态/人体健康风险。结果表明,Zn、Pb 和 Cr 是受人为活动影响的主要污染物,其浓度明显超过背景值。受高 AHMs 污染的大部分区域靠近湿地中的河流,所有 AHMs 的浓度分布在西南地区较低,在东北地区较高。APCS-MLR 和 PMF 模型都识别出了三类潜在来源,即(1)农业肥料/杀虫剂、大气沉降和交通排放;(2)自然转化;和(3)工业和污水废物。此外,比较结果表明,PMF 模型更适合定量湿地沉积物中 AHMs 的来源,因为它能够分析一个额外的来源,即植物养护和水禽饲养,并且在预测 AHMs 浓度方面具有更高的准确性。此外,风险评估模型显示,所有这些重金属都在生态和致癌/非致癌人体健康风险的可接受范围内。在这些重金属中,摄入是当地人群接触重金属的主要途径,其次是皮肤接触和口腔或鼻腔吸入。然而,由于儿童的手口行为,他们比成年人更容易通过摄入途径接触到重金属。本研究旨在评估高原城市湿地的重金属污染状况,为湿地沉积物中重金属的来源解析和风险评估提供了一个实际案例。