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苔藓作为大气痕量金属和氮沉降的生物监测器:中国盐城的空间分布和时间趋势

Mosses as Biomonitors of Atmospheric Trace Metal and Nitrogen Deposition: Spatial Distribution and Temporal Trend in Yancheng, China.

作者信息

Zhou Xiaoli, Li Jing, Yan Peng, Lu Nana, Lu Linyu, Ni Qian, Zhang Junrong, Fang Yanming

机构信息

School of Marine and Biological Engineering, Yancheng Teachers University, Yancheng 224002, China.

Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China.

出版信息

Plants (Basel). 2025 Apr 26;14(9):1315. doi: 10.3390/plants14091315.

Abstract

This study assessed air quality in Yancheng, China, using moss biomonitoring. The moss species, was chosen, and mosses were collected from 67 sites across Yancheng during July and August 2022. The concentrations of Al, Co, Cr, Cu, Fe, Mn, Ni, Pb, Zn, V, and nitrogen in mosses were determined, and the spatial distribution and temporal trends of atmospheric trace metals and nitrogen deposition in Yancheng were explored by comparing the current data with that of a similar study conducted in 2017. In 2022, high concentrations of metals and nitrogen in mosses were found in northern and southwestern Yancheng, whereas lower concentrations were observed in southern and southeastern Yancheng for metals and central Yancheng for nitrogen. Since 2017, the moss concentrations of Zn, Cu, Ni, and Cr have increased, while that of V has declined, with no notable changes observed in other metals and nitrogen. Contamination factor analysis indicated that Pb and Cu contamination levels escalated from moderate and slight (2017) to severe and moderate (2022), respectively. The Positive Matrix Factorization (PMF) model identified five dominant contamination sources of metals and nitrogen in 2022 mosses: natural source (21.4%), traffic emission (17.84%), fuel combustion derived from coal and heavy oil (22.71%), agricultural activities (19.37%), and industrial activities (18.68%). This study highlights the significance of moss biomonitoring, along with data analysis and emission source inventories, as essential tools for evaluating air quality in Yancheng.

摘要

本研究采用苔藓生物监测法评估了中国盐城的空气质量。选取了苔藓物种,并于2022年7月至8月期间从盐城的67个地点采集了苔藓。测定了苔藓中铝、钴、铬、铜、铁、锰、镍、铅、锌、钒和氮的浓度,并通过将当前数据与2017年进行的类似研究数据进行比较,探讨了盐城大气痕量金属和氮沉降的空间分布及时间趋势。2022年,盐城北部和西南部的苔藓中金属和氮的浓度较高,而盐城南部和东南部的金属浓度较低,盐城中部的氮浓度较低。自2017年以来,苔藓中锌、铜、镍和铬的浓度有所增加,而钒的浓度有所下降,其他金属和氮未观察到明显变化。污染因子分析表明,铅和铜的污染水平分别从中度和轻度(2017年)升至重度和中度(2022年)。正定矩阵因子分解(PMF)模型确定了2022年苔藓中金属和氮的五个主要污染源:自然源(21.4%)、交通排放(17.84%)、煤炭和重油燃烧源(22.71%)、农业活动(19.37%)和工业活动(18.68%)。本研究强调了苔藓生物监测以及数据分析和排放源清单作为评估盐城空气质量的重要工具的意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c4f0/12073996/e29b9735d12e/plants-14-01315-g001.jpg

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